ORIGINAL_ARTICLE
On the Seasonal Changes in the Surface Water Chemistry of Museum Lake, Thiruvananthapuram, Kerala, India
The surface water chemistry of Thiruvananthapuram Museum Lake was carried out in the period of February 2013 to January 2014. Correlation study of the parameters and overall CCME WQI (Canadian Council of Ministers of the Environment Water quality Index) was also prepared in the study for the lake water. The parameters analysed are cations such as Ca2+, Na+, Mg2+ and K+ and the anions like PO4-, Si4- , NO3- and NO2-. Abiotic factors like water pH, Temperature, Conductivity, TDS, Total Alkalinity and Total Hardness were also analysed. The pH ranged between 6.5 to 7.4. The total hardness ranged between 50.8-99 mg/L which shows the water is moderately hard one. During the pre monsoon period, water temperature showed a positive correlation with total alkalinity (r= 0.915) pH (r= 0.841) and TDS (0.876). Dissolved Oxygen (DO) value showed a positive correlation with Biological Oxygen Demand (BOD) (r= 0.999). The overall CCME water quality index was 80.81 which indicate the water body is protected with only a minor degree of threats. The quality of the water is an essential element of the Thiruvananthapuram Zoo environment with respect to both healths of the ecosystem and zoo tourism enjoyment. Moreover, if maintained properly, this water body can be treated as a major drinking water source for the zoo animals.
https://jpoll.ut.ac.ir/article_56940_de54af27f95f1d7ffa6d18dcd5a2b6ef.pdf
2016-04-01
103
114
10.7508/pj.2016.02.001
biological oxygen demand
correlation study
Phosphate
total hardness
Water quality index
Anila
Ajayan
anila.dehradun@gmail.com
1
Environmental Biology Division, Department of Botany, Mahatma Gandhi College, Thiruvananthapuram Kerala 695 004
LEAD_AUTHOR
Ajit
Kumar
ajitanchal@gmail.com
2
Environmental Biology Division, Department of Botany, Mahatma Gandhi College, Thiruvananthapuram Kerala 695 004
AUTHOR
Anila, P., Ajayan, A. and Kumar, K.G. (2014) A Preliminary Study of the Physico Chemical Parameters of the Pond in Thiruvananthapuram Zoo, Kerala, India with Special Reference to Phytoplankton Diversity Journal of Aquatic Biology and Fisheries, 2(2): 36- 40C.
1
Anila, P., Ajayan, J., Ajit, B. and Kumar, K.G. (2015). Microbial Quality of the Lake inside Thiruvananthapuram Zoological Garden, Kerala, India IJABPT, 6(3: 49-55.
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APHA, American Public Health Association (2005). Standard Methods for the Examination of Water and Wastewater, 21st Edition Washington, DC.
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Bhatnagar, A. and Devi, P. (2012). Applications of correlation and regression analysis in assessing lentic water quality: a case study at Brahmsarovar Kurukshetra, India. International Journal Of Environmental Sciences. 3(2): 813-820.
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Bordalo, A.A., Nilsumranchit, W. and Chalermwat, K. (2001). Water quality and uses of the Bangpakonk River (Eastern Thailand), Water Research, 35(15): 3635–3642.
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Canadian Council of Ministers of the Environment (2001). Canadian Water Quality Guidelines for the Protection of Aquatic Life: CCME Water Quality Index 1.0, user's manual in Canadian Environmental Quality Guidelines, 1999, Winnipeg.pp: 1-5.
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Dhawale, P.G. and Ghyare, B.P. (?). Assessment of Physico-Chemical Status of Water in Pus Dam of Pusad Tahsil Journal of Natural Sciences Research, 5(9): 1-6
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Jacob (2008). Seasonal variation of hydrographic parameters and distribution of nutrients in the Veli - Akkulam Lake Complex. Indian Hydrobiology, 11(2): 281-288.
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Laluraj, C.M., Gopinath, G. and Dinesh Kumar, P. K. (2005). Groundwater chemistry of shallow aquifers in the costal zones of Cochin. India Applied Ecology and Environmental Research, 3(1): 133–139.
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Lumb, A., Halliwell, D. and Sharma T. (2006). Application of CCME Water Quality Index to monitor water quality: A case of the Mackenzie River Basin, Canada. Environ. Monot. Assess. Basin, Canada, Environ.Monot.Assess. 113 (1-3): 411-429.
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23
Olaolu, T.D., Akpor, OBand, and Aderiye, B.I. (2013). Investigation of the Effect of Initial Biomass on Nitrate and Phosphate Removal from Synthetic Wastewater by Selected Bacteria Isolates Journal of Natural Sciences Research, 3(11): 39-49.
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Øyvind, Hammer., D.A.T. Harper and P.D. Ryan PAST -PAlaeontological STatistics, ver. 1.34
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Prathap, Singh, R., and G. S. Regini Balasingh (2011). Limnological Studies of Kodaikanal Lake(Dindigul District), in special reference to Phytoplankton Diversity. Indian Journal of Fundamental and Applied Life Sciences. 1 (3):112-118.
27
Ramachandra, T, V. and Malvikaa Solanki. (2007). Ecological Assessment of Lentic Water Bodies of Bangalore. ENVIS Technical Report: 25 Jan 2007 Environmental Information System [ENVIS] Centre for Ecological Sciences, Indian Institute of Science, Bangalore, pp 105.
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Ramakrishnaiah, C. R., Sadashivaiah, C., and Ranganna, G. (2009) Assessment of Water Quality Index for the Groundwater in Tumkur Taluk, Karnataka State, India. E-Journal of Chemistry, 6: 523-530.
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Roberto Gaytán, José de Anda, and Fernando González-Farías (2009). Initial appraisal of water quality of Lake Santa Ana, Mexico. Lakes and Reservoirs: Resources and Management. 14: 49-55
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Sabu, Joseph, Byma, Benziger, and Jobin, Thomas. (2010). Hydrochemistry and Environmental Status of Pazhayar River, Kanyakumari District, Southern Tamil Nadu. Recent Trends in Water Research: Hydrogeochemical and Hydrological Perspectives S Chidambaram AL Ramanathan, K Shivanna and R Arthur James(Eds.), Ik International Pvt Ltd. 178-190
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Fourth Edition, pp 198 Downloaded on 24/04/2015.
38
Zahraa, Zahraw, Al-Janabi., Abdul-Hameed, M., Jawad Al-Obaidy, and Abdul-Rahman, Al-Kubaisi. (2015). Applied of CCME Water Quality Index for Protection of Aquatic Life in the Tigris River within Baghdad city. Journal of Al-Nahrain University, 18 (2): 99-107.
39
ORIGINAL_ARTICLE
Trend of Groundwater Quality Changes, Using Geo Statistics (Case Study: Ravar Plain)
Groundwater aquifers are an important source of water supply for agriculture, industry and drinking. The present study investigates the changes in the quality of groundwater using geostatistical methods in the Ravar plain during a 10-year period. In this study, after selecting the appropriate spatial interpolation method to draw water quality parameters such as TDS, SAR and EC, zoning maps of Ravar plain were provided for three periods of time: the first period (2002-2005), an intermediate period (2006-2009) and the final period (2010-2012) in two seasons using ArcGIS 10.1. For this purpose, data were evaluated in GS+ 5.1 software, after calculation, the best model with the lowest estimated error was selected for zoning water quality parameters. Because of the lowest estimation error, Kriging, Gaussian and Spherical variogram models were selected as appropriate interpolation method for zoning the quality parameters. The results of the spatial analysis of TDS showed that TDS have been increased in the study area. Due to the amount of dissolved solids, EC amount was highly variable. According to the Wilcox classification, at the end of the period, water quality of agricultural was inappropriate in most of the area which represents the increase of electrical conductivity during the period.
https://jpoll.ut.ac.ir/article_56941_8e8b42fe670c631b8a71966eb8366723.pdf
2016-04-01
115
129
10.7508/pj.2016.02.002
Geostatistics
Groundwater quality
Ravar plain
spatially changes
Maral
Babakhani
maralbabakhani@yahoo.com
1
International Desert Research Center (IDRC), University of Tehran, Tehran, Iran
AUTHOR
Gholamreza
Zehtabian
ghzehtab@ut.ac.ir
2
Faculty of Natural Resources, University of Tehran, Tehran, Iran
AUTHOR
Amir Reza
Keshtkar
keshtkar@ut.ac.ir
3
International Desert Research Center (IDRC), University of Tehran, Tehran, Iran
AUTHOR
Hassan
Khosravi
hakhosravi@ut.ac.ir
4
Faculty of Natural Resources, University of Tehran, Tehran, Iran
LEAD_AUTHOR
Abdollahi, M., Gheshlaghi, A. and Abbasnejad, A. (2013). Environmental hydrogeochemical of groundwater resources of Ravar plain. Eighth conference of the association of engineering geology and the environment. 6-7 November. Ferdousi Mashhad University.
1
Ahmadian. M., Chavoshian. M. and Darvish, M. (2015). Determination of groundwater level fluctuations as an indicator of semi-arid land resources degradation using geostatistical methods (case study: Kaboudrahang-Famenin). Iranian journal of range and desert research. 22(1), 109-120.
2
Andre, L., Franceschi, M., Puchan, P. AND Atteia, O. (2005). Using geochemical and modeling to enhance the understanding of groundwater flow in a regional deep equifer, Aquitaine Basin, South-west of France. J. Hydrol, 305, 40-42.
3
Ardakani, S., Talebiani, S. and Maanijou, M. (2014). Evaluation of As, Zn, Pb and Cu concentrations in groundwater resources of Toyserkan plain and preparing the zoning map using GIS. Journal of Mazandaran University of Medical Sciences. 24(114), 120-129.
4
Badieenejad, A., Farzadkia, A. and Gholami, M. (2014). Survey of chemical quality groundwater resources of Shiraz plain by means of GIS. Persian Gulf biomedical Research Institute, 3, 357-367.
5
Deepak, S. and Uday, S.N. (2013). Water Quality Index for Ground Water (GWQI) of Dhar town, MP, India. International Research Journal of Environment Sciences, 2(11), 72-77.
6
Environmental Protection Agency (EPA). (2005). the Report to Congress, Waste Disposal Practices and Their Effects on Ground Water. EPA/570/9-77/001 (NTIS PB265-081), 512 pp.
7
Hassanipak, A. (2013). Geostatistic. University of Tehran publishers. Fourth edition.
8
Kangaroglu, F. and Gunay, G. (1997). Ground water nitrate pollution in an alluvial aquifer, Eskir urban area and its vicinity, Turkey. Environmental Geology, 31, 178-184.
9
Keykhosravi, R. (2014). Zoning groundwater quality parameters by utilizing geostatistic (case study: Sabzevar plain), thesis of master, faculty of natural resources, University of Tehran .
10
Khasheie, A. and Sarbazi. M. (2015). Study of spatial distribution of groundwater quality using LS-SVM, MLP and geostatistical models. Journal of water and sewage, 3, 93-103.
11
Khosravi, H., Karmi, k., Nakhaee nejadfard. S. and Mesbahzadeh, T. (2016). Investigation of Spatial Structure of Groundwater Quality Using Geostatistical Approach in Mehran Plain, Iran. Pollution, 2(1), 57-65.
12
Mahdavi, M. (2009). Applied hydrology, second copy, University of Tehran publishers, sixth edition.
13
Pawar. S., Panaskard. B. and Wagh. V. M. (2014). Characterization of groundwater using water quality index of solapur industrial, (case study: Maharashtra, INDIA). International Journal of Research in Engineering & Technology, 2(4), 31-36.
14
Pourakbar, M., Mosaferi. M. and Shakerkhatibi, M. (2015). Groundwater quality assessment from a hydrogeochemical viewpoint (case study: Sarab county). Journal of water and sewage, 3, 116-126.
15
Regional Water Company of Kerman province. (2012). Project of survey of quality and quantity of groundwater of Ravar-Kerman plain.
16
Sadeghi, A. (2013). Evaluation and monitoring land degradation and its effects on quality and quantity of groundwater Zaribar lake watershed, thesis of master, faculty of natural resources, University of Tehran .
17
WHO. (2008). Guidelines for Drinking-Water Quality [Electronic Resource]: Incorporating First Addendum Recommendations, World Health Organization. Geneva, Switzerland, 515 pp.
18
Wilcox L.V. (1955). Classification and use of irrigation water, US Department of Agriculture., Circ. 696, Washington, DC.
19
Wu, M. Xue, L. and Jin, W. (2014). Modeling the Linkage between Landscape Metrics and Water Quality Indices of Hydrological Units in Sihu Basin, Hubei Province, China: An Allometric Model. The 18th Biennial Conference of International Society for Ecological Modeling. Procedia Environmental Sciences, 13, 2131–2145.
20
ORIGINAL_ARTICLE
Antibiotics Removal in Biological Sewage Treatment Plants
This study investigated the occurrence and removal of 12 antibiotics (ciprofloxacin, enrofloxacin, levofloxacin, norfloxacin, nalidixic acid, azithromycin, clarithromycin, roxithromycin, lincomycin, novobiocin, sulfamethoxazole, trimethoprim) at four sewage treatment plants (STPs): two STPs in Kyoto, Japan and two STPs in Beijing, China. The STPs differed in design and operation conditions, utilized a variety of secondary treatment processes. The antibiotics were frequently detected in influents and effluents, and ranged from ng/L up to lower μg/L. In influent, clarithromycin (1.1–1.6 μg/L) and levofloxacin (3.6–6.8 μg/L) were detected in the highest concentration in Japanese and Chinese STPs, respectively. The overall elimination of the antibiotics were differed between STPs and ranged from negative to >90%. These data demonstrate that there are detectable levels of antibiotics are discharging from STPs, and only some of these antibiotics are being removed in a significant proportion by STPs. It was also observed that biological nutrient removal based sewage treatment processes (anaerobic–anoxic–oxic: A2O; and anoxic–oxic: AO) have relatively higher antibiotics removal efficiencies than oxidation ditch (OD) processes.
https://jpoll.ut.ac.ir/article_56942_09242793b788cb59004a39130f35fd0e.pdf
2016-04-01
131
139
10.7508/pj.2016.02.003
Antibiotics
Effluent
influent
sewage treatment
Gopal
Ghosh
gopales8@hotmail.com
1
1. Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Kyoto 615–8540, Japan; 2. Departments of Environmental Science and Technology, Jessore University of Science and Technology, Jessore 7408, Bangladesh
LEAD_AUTHOR
S.
Hanamoto
2
Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Kyoto 615–8540, Japan
AUTHOR
N.
Yamashita
3
Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Kyoto 615–8540, Japan
AUTHOR
X.
Huang
4
Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China
AUTHOR
H.
Tanaka
5
Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, Kyoto 615–8540, Japan
AUTHOR
Batt, A.L., Bruce, I.B. and Aga, D.S. (2006a). Evaluating the vulnerability of surface waters to antibiotic contamination from varying wastewater treatment plant discharges. Environ. Pollut., 142, 295–302.
1
Batt, A.L., Kim, S. and Aga, D.S. (2006b). Enhanced biodegradation of iopromide and trimethoprim in nitrifying activated sludge. Environ. Sci. Technol., 40, 7367–7373.
2
Batt, A.L., Kim, S. and Aga, D.S. (2007). Comparison of the occurrence of antibiotics in four full–scale wastewater treatment plants with varying designs and operations. Chemosphere, 68, 428–435.
3
Brown, K.D., Kulis, J., Thomson, B., Chapman, T.H. and Mawhinney, D.B. (2006). Occurrence of antibiotics in hospital, residential, and dairy effluent, municipal wastewater, and the Rio Grande in New Mexico. Sci. Total Environ., 366, 772–783.
4
Clara, M., Kreuzinger, N., Strenn, B., Gans, O. and Kroiss, H. (2005). The solids retention time–a suitable design parameter to evaluate the capacity of wastewater treatment plants to remove micropollutants. Water Res., 39, 97–106.
5
Costanzo, S.D., Murby, J. and Bates, J. (2005). Ecosystem response to antibiotics entering the aquatic environment. Mar. Pollut. Bull., 51, 218–223.
6
Daughton, C.G. and Ternes, T.A. (1999). Pharmaceuticals and personal care products in the environment: agents of subtle change? Environ. Health Perspect., 107, 907–938.
7
Ghosh, G.C., Okuda, T., Yamashita, N. and Tanaka, H. (2009). Occurrence and elimination of antibiotics at four sewage treatment plants in Japan and their effects on bacterial ammonia oxidation. Water Sci. Technol., 59, 779–786
8
Göbel, A., McArdell, C.S., Suter, M.J.F. and Giger, W. (2004). Trace determination of macrolide and sulfonamide antimicrobials, a human sulfonamide metabolite, and trimethoprim in wastewater using liquid chromatography coupled to electrospray tandem mass spectrometry. Anal. Chem., 76, 4756–64.
9
Göbel, A., Thomsen, A., Mcardell, C. S., Joss, A. and Giger, W. (2005). Occurrence and sorption behavior of sulfonamides, macrolides, and trimethoprim in activated sludge treatment. Environ. Sci. Technol., 39, 3981–3989.
10
Göbel, A., McArdell, C.S., Joss, A., Siegrist, H. and Giger, W. (2007). Fate of sulfonamides, macrolides, and trimethoprim in different wastewater treatment technologies. Sci. Total Environ., 372, 361–71.
11
Golet, E.M., Alder, A.C. and Giger, W. (2002). Environmental exposure and risk assessment of fluoroquinolone antibacterial agents in wastewater and river water of the Glatt valley watershed, Switzerland. Environ. Sci. Technol., 36, 3645–3651.
12
Gulkowskaa, A., Leunga, H.W., Soa, M.K., Taniyasub, S., Yamashita, N., Yeunga, W.Y., Richardsona, B.J., Leic, A.P., Giesya, J.P. and Lama, P.K.S. (2008). Removal of antibiotics from wastewater by sewage treatment facilities in Hong Kong and Shenzhen, China. Water Res., 42, 395–403.
13
Halling-Sørensen, B., Nors-Nielsen, S.N., Lanzky, P.F., Ingerslev, F., Holten Lutzhøft, H.C. and Jørgensen, S.E. (1998). Occurrence, fate and effects of pharmaceutical substances in the environment—A review. Chemosphere, 36, 357–393.
14
Heberer, T. (2002). Occurrence, fate, and removal of pharmaceutical residues in the aquatic environment: a review of recent research data. Toxicology letter, 131, 5-17.
15
Hirsch, R., Ternes, T., Haberer, K. and Kratz, K.L. (1999). Occurrence of antibiotics in the aquatic environment. Sci. Total Environ., 225, 109–118.
16
Huang, C.H., Renew, J.E., Smeby, K.L., Pinkerston, K. and Sedlak, D.L. (2001). Assessment of potential antibiotic contaminants in water and preliminary occurrence analysis. Water Resour., 120, 30–40.
17
Kümmerer, K. (2003). Significance of antibiotics in the environment. Journal of Antimicrobial Chemotherapy, 52, 5-7.
18
Lindberg, R.H., Wennberg, P., Johansson, M.I., Tysklind, M. and Andersson, B.A.V. (2005). Screening of human antibiotic substances and determination of weekly mass flows in five sewage treatment plants in Sweden. Environ. Sci. Technol., 39, 3421–3429.
19
Petrovic, M., Gonzalez, S. and Barcelo, D. (2003). Analysis and removal of emerging contaminants in wastewater and drinking water. Trends Anal. Chem., 22, 685–696.
20
Yasojima, M., Nakada, N., Komori, K., Suzuki, Y. and Tanaka, H. (2006).Occurrence of levofloxacin, clarithromycin and azithromycin in wastewater treatment plant in Japan Water Sci. Technol., 53, 227–233.
21
ORIGINAL_ARTICLE
Municipal Solid Waste Management using GIS Application in Mirpur Area of Dhaka City, Bangladesh
Identifying Municipal Solid Waste (MSW) disposal sites and appropriately managing them is a challenging task to many developing countries like Bangladesh. It is a complex issue in an urban area, as increasing population levels, rapid economic growth and rise in community living standard, accelerates the generation rate of MSW. The study area is zone-2 (Mirpur-Pallabi) of Dhaka North City Corporation (DNCC) (10.40 km2) is a residential area, from where about 353.34 ton/day solid waste is generated and among them about 57.43% were managed by DNCC. There are 41 different size containers present at 17 locations in study area. The existing site and waste collecting containers are not sufficient, which deteriorates the environment due to illegal waste dumping and about 15 illegal dumping sites were identified. To identify proper waste dumping site and prevent contamination, Geographical Information System (GIS) was used to propose an efficient scenario with relocating the existing waste collecting containers and another scenario was proposed with number of containers (73) to attain an 93.68% waste collection efficiency including optimization and selection of waste collecting routes for the study area. This study also indicate that the application of GIS is an efficient and low cost tool to study and select appropriate dumping site so as to facilitate decision making processes.
https://jpoll.ut.ac.ir/article_56943_56c9499a826a2b5445c976facacd7b6d.pdf
2016-04-01
141
151
10.7508/pj.2016.02.004
Dhaka North City Corporation (DNCC)
Environmental impacts
Routing
waste collection
waste transportation
S. M.
Islam
smdidarulislamju@gmail.com
1
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342, Bangladesh
LEAD_AUTHOR
Syed
Rahman
hafizsr@yahoo.com
2
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342, Bangladesh
AUTHOR
Mahmud
Hassan
arifmahmudhasan@yahoo.com
3
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342, Bangladesh
AUTHOR
Gausul
Azam
azam.evs@gmail.com
4
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342, Bangladesh
AUTHOR
Abbas, I.I., Nai’ya, R. and Arigbede, Y.A. (2011). Use of remote sensing and GIS in effective and efficient solid management planning: A case study of Samara, Zaria, Nigeria. Res. J. Earth Planet. Stud., 2, 46-52.
1
Ahmed, A. and Quader, M.A. (2011). Environmental aspects of solid waste management: A case study of Narayanganj city. ASA Univ. Rev., 5 (1), 133-143.
2
Anwar, S.M. (2004). Solid waste management and GIS: A case of Kalabagan area of Dhaka city, Bangladesh. MSc. Dissertation, Department of Geography, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
3
Basagaoglu, H., Celenk, E., Miguel A. M. And Usul, N. (1997). Selection of waste disposal sites using GIS. J. Am. Water Resour. Assoc., 33(2), 455-464.
4
BBS (2014). Statistical Year Book of Bangladesh. Bangladesh Bureau of Statistics (BBS), Dhaka, Bangladesh.
5
BBS (2011). Statistical Year Book of Bangladesh. Bangladesh Bureau of Statistics (BBS), Dhaka, Bangladesh.
6
Chang, N.B, Parvathinathan, G., Breeden, B. J. (2007). Combining GIS with fuzzy multi criteria decision-making for landfill siting in a fast growing urban region. J. Environ. Manage., 1(11), 1-15.
7
DNCC (2015). Geographical location and area of DNCC. Dhaka North City Corporation, Bangladesh.
8
GoB (1995). National Environmental Management Action Plan Final Report. Ministry of Environment and Forest, Government of Bangladesh, Dhaka.
9
GoB (1998a). National policy for water supply and sanitation 1998. Ministry of Local Government Rural Development and Cooperatives, Government of Bangladesh, Dhaka.
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GoB (1998b). Urban Management Policy Statement. Ministry of Local Government Rural Development and Cooperatives, Government of Bangladesh, Dhaka.
11
Hai, F.I. and Ali, M.A. (2005). A study on solid waste management system of Dhaka City Corporation: effect of composting and landfill location. UAP J. Civ. Environ. Eng., 1, 18-26
12
Khajuria, A., Matsui, T. and Machimura, T. (2011). GIS application for estimating the current status of municipal solid waste management system: case study of Chandigarh city, India. Our Nature, 9, 26-33.
13
Menon, M.H. (2002). Solid waste management in Dhaka Bangladesh, Innovation in community driven composting. Analysis of community based initiative for solid waste management.
14
Mohammedshum, A. A., Gebresilassiea, M. A., Rulindaa,C. M., Kahsaya, G. H.,Tesfay, M. S.,(2014). Application of GIS and Remote Sensing in effective solid waste disposal site selection in Wukro town, Tigray, Ethiopia. The Int. Arch. Photogram. Rem. Sens. Spatial Inform. Sci., 2, 115-119.
15
Nasrin, S.T. (2014). Urban development on municipal solid waste management in Dhaka, Bangladesh. Thesis Dissertation, Kungliga Tekniska Hogskolan.
16
Nishanth, T., Prakash, M.N. and Vijith, H. (2010). Suitable site determination for urban solid waste disposal using GIS and Remote sensing techniques in Kottayam Municipality, India. Int. J. Geomatics Geosci., 1(2),19-209.
17
Ntarangwi, B.M. and Odera, P.A. (2015). Determination of Solid Waste Collection Points in Thika Municipality Using GIS. 3rd ESRI Eastern Africa Education GIS Conference, Jomo Kenyatta University of Agriculture and Technology, 10th-11th September, 2015.
18
Rahman, S. H. and Rahman, S. (2009). Urban solid waste management using GIS technique: A case study on Mohammadpur Thana at Dhaka of Bangladesh. Proceedings of the International Conference on Solid Waste Management Technical, Environmental and Socio-economical Contexts - WasteSafe 2009 9 to 10 November 2009, Khulna, Bangladesh, 239-248p.
19
Ramachandra, T. V. and Saira, V. K. (2003). Exploring possibilities of achieving sustainability in solid waste management. Indian J. Environ. Heal., 45(4), 255-64.
20
Sharholy, M., Kafeel Ahmad, K., Mahmood, G. and R.C. Trivedi, R.C. (2008). Municipal solid waste management in Indian cities – A review. Waste Manage., 28, 459-467.
21
Sharholy, M., K. Ahmad, R.C. Vaishya and R.D. Gupta 2007. Municipal solid waste characteristics and management in Allahabad, India. Waste Manage., 27, 490 496.
22
Sumathi, R.V., Natesan, U., Sarkar, C. (2008). GIS-based approach for optimized siting of municipal solid waste landfill. Waste Manage., 28, 2146-2160.
23
Tania, F. (2014). Solid waste management of Dhaka city: A socio-economic analysis, Banglavision, 13(1), 91-100.
24
Tauhidur-Ur-Rahman, M. (2006). Domestic waste disposal practice of Sylhet city. J. Appl. Sci, 6(7), 1506-1512.
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Tinmaz, E. and Demir, I. (2006). Research on solid waste management systems: To improve existing situation in Corlu Town of Turkey. Waste Manage., 26(3), 307-314.
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UDSU (1999). Urban Development Sector Unit, East Asia and Pacific Region What a waste: Solid waste management in Asia, The International Bank for Reconstruction and Development/The World Bank, Washington, DC.
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USEPA (2005). Municipal solid waste. Basic Facts, United State Environmental Protection Agency, USA.
29
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30
ORIGINAL_ARTICLE
Characterization of Textile Effluents from Dhaka Export Processing Zone (DEPZ) Area in Dhaka, Bangladesh
The present study has been undertaken in a laboratory scale to characterize and investigate pollution potential of textile effluents from DEPZ area in Dhaka, Bangladesh. Collected effluent samples from five different industries were analyzed for physico-chemical parameters using field kits and Standard Methods, and for metals using Flame Atomic Absorption Spectrophotometer (FAAS). The average physico-chemical parameters such as temperature, color, pH, DO, EC, BOD, COD, TS, total alkalinity and total hardness were found 52.4 ºC, 2646 PCU, 9.788, 1.492 mg/L, 7473.2 μS/cm, 157 mg/L, 508.8 mg/L, 9140.8 mg/L, 761.2 mg/L and 189.6 mg/L, respectively. The average concentrations of metal found in the textile effluents were in the order of Na (4611.762 mg/L) > Ca (9.166 mg/L) > Mg (3.578 mg/L) > Zn (0.113 mg/L) > Ni (0.0074 mg/L) > Cu (0.0032 mg/L). All the measured physico-chemical parameter values are negatively deviated but metal concentrations (except Na) are positively deviated from standard limits of wastewater discharge set by Department of Environment and US Environmental Protection Agency. In view of those characteristics, the textile industry effluents should be considered to be treated by setting eco-friendly effluent treatment plant (ETP) before directly discharging into the water bodies.
https://jpoll.ut.ac.ir/article_56944_5fe155512237cc182543aba6c543ed3b.pdf
2016-04-01
153
161
10.7508/pj.2016.02.005
Analysis
Industrial pollution
Metal
physico-chemical parameter
Wastewater
Abdul Kadir Ibne
Kamal
emon_ju_env@gmail.com
1
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342, Bangladesh Department of Public and Environmental Health Sciences, University of Birmingham, UK
AUTHOR
Fahad
Ahmed
fahad.ahmed.ju@gmail.com
2
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342, Bangladesh
AUTHOR
Mahmud
Hassan
arifmahmudhasan@yahoo.com
3
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342
LEAD_AUTHOR
Md. Khabir
Uddin
khabir88@yahoo.com
4
Department of Environmental Sciences, Jahangirnagar University, Dhaka-1342, Bangladesh
AUTHOR
Syed Mohammod
Hossain
syedmohammodhossain@gmail.com
5
Institute of Nuclear Science and Technology (INST), Atomic Energy Research Establishment (AERE), Dhaka-1000, Bangladesh
AUTHOR
Ahmed, F., Alim, A., Alam, F., Tahsina Islam, T. and Talukder, A.A. (2015). Bio-Geo-Chemical Characterization of Bangladeshi Textile Effluents. Adv. Microbiol., 5, 317-324.
1
Ali, N., Hameed, A. and Ahmed, S. (2009). Physicochemical characterization and Bioremediation perspective of textile effluent, dyes and metals by indigenous Bacteria. J. Hazard. Mater., 164, 322-328.
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Badani, Z., Ait-Amar, H., Si-Salah, A., Brik, M. and Fuchs, W. (2005). Treatment of textile waste water by membrane bioreactor and reuse. Desalination, 185 (1-3), 411-417.
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Deepali and Gangwar, K.K. (2010). Metals Concentration in Textile and Tannery Effluents, Associated Soils and Ground Water. New York Sci. J., 3 (4), 82-89.
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Kanan, A.H., Marine, S.S., Raihan, F., Redowan, M. and Miah, M.D. (2014). Textile effluents changes physiochemical parameters of water and soil: Threat for agriculture. Afr. J. Agron., 2 (10), 219-223.
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Mohabansi, N.P., Tekade, P.V. and Bawankar, S.V. (2011). Physico-chemical Parameters of Textile Mill Effluent, Hinganghat, Dist. Wardha (M.S.). Current World Environ., 6 (1), 165-168.
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49
ORIGINAL_ARTICLE
Optimization of recreational site selection using multi criteria evaluation and functional relationship diagram (Case study: Miankaleh wildlife sanctuary)
Today, ecotourism is a major tourist activity around the world. It is based on environment potential through which suitable utilization and conservation of sites under management practices including considering accurate planning, potential, and peoples’ preferences are realized. The present study was conducted to determine people’s recreational preferences using questionnaires to evaluate the ecotourism potentials (recreational activities that choice in questioner by visitors) for site selection and land use planning, and to analyze the functional relationships among zones in the MianKaleh wildlife sanctuary, south of the Caspian Sea in Mazandaran and Golestan Provinces of Iran. Recreational preferences of people were found to be bird watching, swimming, camping, sightseeing, horse riding, and boating. Multi Criteria Evaluation was used to assess the ecotourism potential. For land use planning, the Multi Objective Land Allocation function included environmental suitability maps, zone weighting, and a set of desirable areas for each zone. Post processing functions (filters, zone size, and distance to other zones) and functional relationship diagrams were applied to amend the zoning maps. The functional relationship diagram concept was applied to the amended maps for optimizing access and identifying the relationships among zones. Overall, the results revealed that MCE and MOLA methods are capable of evaluating and zoning the wildlife sanctuary. Furthermore, post-processing and functional relationship diagrams were effective in selecting recreational sites. The results of this research revealed the recreational potential of MianKaleh wildlife sanctuary. Land planning for ecotourism can now be implemented using the results of this study that will upgrade the conservation status in the area.
https://jpoll.ut.ac.ir/article_56945_777ccbd055893c421dda8a42983e2baa.pdf
2016-04-01
163
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10.7508/pj.2016.02.006
Ecotourism
functional relationship diagram
land use planning
MCE
MOLA
Maliheh
Masoodi
masoudim65@gmail.com
1
MSc. Graduate in Environmental Science, Gorgan University of Agricultural and Natural Resources, Gorgan, Iran
LEAD_AUTHOR
Abdolrasoul
Salman Mahiny
a_mahini@yahoo.com
2
Assoc. Prof., Faculty of Environment science, Gorgan University of Agricultural and Natural resources, Gorgan, Iran
AUTHOR
Marjan
Mohammadzadeh
marjan.mohammadzadeh@gmail.com
3
Assist. Prof., Faculty of Environment science, Gorgan University of Agricultural and Natural resources, Gorgan, Iran
AUTHOR
Seyed Hamed
Mirkarimi
mirkarimi.hamed@gmail.com
4
Assist. Prof., Faculty of Environment science, Gorgan University of Agricultural and Natural resources, Gorgan, Iran
AUTHOR
Arika Ligmann-Zielinska, A.L. and Jankowski, P. (2010). Exploring normative scenarios of land use development decisions with an agent-based simulation laboratory. Comput Environ Urban Syst, 34, 409–42.
1
Bunruamkaew, K. and Murayama, Y. (2011). Site Suitability Evaluation for Ecotourism Using GIS & AHP: A Case Study of Surat Thani Province, Thailand. Procedia Soc Behav Sci, 21, 269–278.
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Caver, S.J. (1991). Integrating multicriteria evaluation with geographical information systems. Geo Info Syst, 5, 321–339.
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Ceballos-Lascurain, H. (1996). Tourism, Ecotourism, and Protected Areas: The State of Nature-based Tourism Around the World and Guidelines for its Development .International Union for the Conservation of Nature and Natural Resources (IUCN), Cambridge, UK. 301 pp.
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Courvisanos, J. and Jaina, A. (2006). A Framework for Sustainable Ecotourism: Application to Costa Rica. Tourism Hospit Plann Dev, 3(2), 131–142.
5
Department of environment conservation. (2002). MianKaleh wildlife Sanctuary management plan, Vol 3.
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Eastman, J.R., Jin, W., Keym, P.A. and Toledano, J. (1995). Raster procedure for multi criteria and multi-objective decisions photogrammetric. Eng Remote Sensing, 61 (5), 539-547.
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Eastman, J.R. (2003). IDRISI: The Kilimanjaro edition. Worcester, MA: Clark University
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Eastman, J.R. (2006). IDRISI Andes guide to GIS and image processing. Clark University, Graduate school of geography, Worcester.
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Geneletti, D. and Duren, I. (2008). Protected area zoning for conservation and use: A combination of spatial multicriteria and multiobjective evaluation. Landsc Urban Plan, 85, 97–110.
10
Giordano, L.G. and Riedel, P.S. (2008). Multi-criteria spatial decision analysis for demarcation of greenway: A case study of the city of Rio Claro, S˜ao Paulo, Brazil. Landsc Urban Plan, 84, 301–311.
11
Gul, A.M., Orucu, M.K. and Karaca, O. (2006). An approach for recreation suitability analysis to recreation planning in Golcuk Nature Park. Environ Manage, 37, 606-625.
12
Hajehforooshnia, Sh., Soffianian, A., Mahiny, A. and Fakheran, S. (2011). Multi objective land allocation (MOLA) for zoning Ghamishloo Wildlife Sanctuary in Iran. Nat Conserv, 19, 252-262.
13
Hanbali, A., Alsaaideh, B. and Kondoh, A. (2011). Using GIS-Based Weighted Linear Combination Analysis and Remote Sensing Techniques to Select Optimum Solid Waste Disposal Sites within Mafraq City, Jordan. Geo Info Syst, 3, 267-278.
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Healey, M. and Ilbery, B. (1990). Location and Change: Perspectives on Economic Geography. Oxford University Press.
15
Khoi, D.D. and Murayama, Y. (2010). Delineation of suitable cropland areas using a GIS based multi-criteria evaluation approach in the Tam Dao national park region Vietnam. Sustainability, 2, 2024-2043.
16
Kumari, S., Behera, M.D. and Tewari, H.R. (2010). Identification of potential ecotourism sites in West District, Sikkim using geospatial tools Trop Ecol., 51 (1), 75-85.
17
Louviere, J.J., Hensher, D.A. and Swait, J.D. (2000). Stated Choice Methods: Analysis and Applications. Cambridge University Press.
18
Mahiny, A. and Gholamalifard, M. (2006). Sitting MSW landfill with a weighted Linear Combination methodology in a GIS environmental. Environ Sci Technol. 3(4), 435-445.
19
Mahiny, A., Riazi, B., Naimi, B., Babai kafaki, S. and Javadi larijani, A. (2007). Using multi criteria evolution (MCE) and GIS for site suitability evalution for Ecotourism (case study: Behshahr). Environ Sci Technol, 11(1), 187-198.
20
Makhdoum, M.F. (2001). Fundamental of land use planning. Tehran University Publications. pp 285.
21
Malczewski, J. (2006). Integrating multicriteria analysis and geographic information systems: the ordered weighted averaging (OWA) approach. Environ Technol Manag, 6, 7-19.
22
Malcewski, J. (2006). GIS-based multicriteria decision analysis: A survey of the literature. Geo Info Syst, 20, 703-726.
23
Malczewski, J. (2004). GIS-Based Land-Use Suitability Analysis: A Critical Overview. Progress in Planning, 62, 3-65.
24
Masoodi, M., Mahiny, A.R., Mohammadzadeh, M. and Mirkarimi, H. (2010). Recreational interests of visitors and its influencing factors in Miankaleh wildlife refuge. Environment and Development, 3, 53-60.
25
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26
Mohammadzadeh, M. (2008). Developing a visitor decision support system for natural tourist destinations. Thesis (PhD). RMIT University, Melbourne Australia.
27
OK, K. (2006). Multiple criteria activity selection for ecotourism planning in Igneada. Turk J Agric For, 30, 153-164.
28
Petrosillo, I., Zurlini, G., Corlian, M.E., Zaccarelli, N. and Dadamo, M. (2006). Tourist perception of recreational environment and management in a marine protected area. Landscape and Urban Planning, 79, 3-29.
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Rosa, E., Eduardo, G. and Erin, J. (2005). Social adaptation ecotourism in the Lacandon forest. Annals of Tourism Research, 32, 610-627.
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31
Ruthledge, R.J. (1985). Anatomy of a Park 3rd Ed. Mc. Graw Hill Book Company. pp 99.
32
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33
Shahadat Hossain, M., Chowdhury, R. S., Das, N.G., Sharifuzzaman, S.M. and Sultana, A. (2009). Integration of GIS and multi criteria decision analysis for urban aquaculture development in Bangladesh. Landsc Urban Plan, 90, 119–133.
34
Sirosi, H. (2011). An investigation on ecotourism capabilities of the cold season rangelands, focusing on ecosystem suitability (case study: Taleghan). Thesis (MS.c). Science & natural resources. Faculty of range and watershed management. Gorgan University of agricultural. 180 pp.
35
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36
Tsaur, S.H., Lin, Y.C. and Lin, J.H. (2006). Evaluating ecotourism sustainability from the integrated perspective of resource, community and tourism. Tour. Manage, 27, 640-653.
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38
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39
Vahidnia, M., Alesheikh, A. and Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Environ Manage, 90, 3048–3056.
40
ORIGINAL_ARTICLE
Assessment of Salinity Hazard of Irrigation Water Quality in Monsoon Season of Batiaghata Upazila, Khulna District, Bangladesh and adaptation strategies
Batiaghata Upazila, Khulna District in south-west coastal region of Bangladesh is the mostly saline affected area, where agriculture activities are mainly dependent on rainfall. 23 water samples from surface water and shallow tube well (STW) were collected in the monsoon season and analyzed for physico-chemical properties to classify them according to salinity hazard. Electrical Conductivity (EC) of both surface and groundwater samples were slightly higher than that of acceptable limit ( Ca2+ > Mg2+ > K+ in both surface and groundwater while the anions trend in both surface and groundwater of the study area were Cl¯ > SO42¯ > PO43¯. EC and TDS showed high positive correlation with Na+, K+ and Ca2+ with Cl¯ as confirmed from Correlation Matrix and Principal Component Analysis (PCA). Most of the STW water samples compared to the surface water had higher Soluble Sodium Percentage (SSP) values while Sodium Adsorption Ratio (SAR) indicated the surface water and ground water with low sodium hazard. The Kelly’s ratio of STW water is more subjected to sodium hazard compared to surface water in the study area.
https://jpoll.ut.ac.ir/article_56946_e301bbee372ccbc7794ac8ce6e75ae23.pdf
2016-04-01
183
197
10.7508/pj.2016.02.007
Electric conductivity (EC)
groundwater
Irrigation
salinity hazard
Sodium Adsorption Ratio (SAR)
Soluble Sodium Percentage (SSP)
surface water
Water quality
Mashura
Shammi
mashura926@gmail.com
1
Dept. of Environmental Sciences
Jahangirnagar University
LEAD_AUTHOR
Bikash
Karmakar
bikash_ju37@ymail.com
2
Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh
AUTHOR
Md.
Rahman
mostafizr1@gmail.com
3
Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh Faculty of Environmental Earth Science, Graduate School of Environmental Science, Hokkaido University, Sapporo, Japan
AUTHOR
Md
Islam
sisumon2009@gmail.com
4
Department of Environmental Biology and Chemistry, Graduate School of Science and Engineering for Research, University of Toyama, Gofuku 3190, Toyama 930-8555, Japan.
AUTHOR
Rashadur
Rahaman
shuvro.env@gmail.com
5
Dept of Environmental Sciences, Jahangirnagar University, Savar Dhaka Bangladesh
AUTHOR
Khabir
Uddin
khabir88@yahoo.com
6
Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh
AUTHOR
APHA (The American Public Health Association (APHA) (1998). Standard Methods for the Examination of Water and Wastewater. 20th Edition. Greenberg AE, Clesceri LS and Eaton A. D eds. AWWA (American Water Works Association), WEF (The Water Environment Federation).
1
Abedin, M.A. and Shaw, R. (2013). Agriculture Adaptation in Coastal Zone of Bangladesh. Pp. 207-225. doi: 10.1007/978-4-431-54249-0_12
2
Adhikary, S.K., Manjur-A-Elahi, M. and Hossain, A.M.I. (2012). Assessment of shallow groundwater quality from six wards of Khulna City Corporation, Bangladesh. Int. J. App. Sci. and Eng. Res., 1(3), 489-498.
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ORIGINAL_ARTICLE
Photocatalytic Degradation of Benzene and Toluene in Aqueous Medium
The resource intensive human activities (such as mining and extraction of mineral oils for betterment of life and modernization of society) have increased environmental pollution several folds. Products of mining and petrochemical industries are advantageous for the modern society. But waste generated such as BTEX from such industries are carcinogenic, toxic and causes adverse effects on environment and human health. These wastes are classified as hazardous waste which cannot be used further. Pollution of soil-water interface due to the release of hydrocarbons in environment is a major public health concern, and therefore, remediation of these pollutants is needed to reduce risk to human and environment. Various methods such as biological, chemical and physical method are used to degrade these pollutants from wastewater. In the present works photochemical degradation of toluene and benzene in wastewater are studied using activated Carbon−TiO2 composites as catalysts in the presence of UV irradiation in photochemical reactor. Composites are prepared by sol-gel method and further characterized by X-ray diffractometry (XRD), scanning electron microscope (SEM) and Fourier transformed-Infrared spectroscopy (FT-IR). The Photocatalytic efficiencies of the synthesized composites were determined by the mineralization of toluene and benzene under UV irradiation in photochemical reactor.
https://jpoll.ut.ac.ir/article_56947_1ede95fa3bcdd4223a8c815da06346bb.pdf
2016-04-01
199
210
10.7508/pj.2016.02.008
benzene
Nanocomposite
petrochemical pollutants
photochemical degradation
TiO2
toluene
Pardeep
Singh
psingh.rs.apc@itbhu.ac.in
1
Department of Chemistry, Indian Institute of Technology (BHU), Varanasi-221005 India
LEAD_AUTHOR
A.
Borthakur
2
Centre for Studies in Science Policy, Jawaharlal Nehru University (JNU), New Delhi-110067, India
AUTHOR
N.
Srivastava
3
Department of Chemical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi-221005 India
AUTHOR
R.
Singh
4
Institute of Environment and Sustainable Development (IESD), Banaras Hindu University, Varanasi-221005, India
AUTHOR
D.
Tiwary
5
Department of Chemistry, Indian Institute of Technology (BHU), Varanasi-221005 India
AUTHOR
P.K.
Mishra
6
Department of Chemical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi-221005 India
AUTHOR
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Zhang, Y., Tang, Z.R., Fu, X. and Xu, Y.J. (2011) Nanocomposite of Ag–AgBr–TiO2 as a photoactive and durable catalyst for degradation of volatile organic compounds in the gas phase. Applied Catalysis B: Environmental 106(3–4), 445-452.
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Zou, T., Xie, C., Liu, Y., Zhang, S., Zou, Z. and Zhang, S. (2013) Full mineralization of toluene by photocatalytic degradation with porous TiO2/SiC nanocomposite film. Journal of Alloys and Compounds 552, 504-510.
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ORIGINAL_ARTICLE
Adsorption of arsenic on soil under different soil moisture conditions
The adsorption study was conducted on three Japanese soils with different soil properties to characterize the adsorption pattern of Arsenic (As). Double tube method was used to find out the effect of soil moisture levels on As adsorption. For this study, besides double tube method, conventional batch method also was used. The As adsorption showed two phase kinetics. An initial and rapid adsorption was found at first hour and then gradually preceded before equilibrium in all the three soils in the case of double tube method and in clay loam and light clay soil in the case of batch method. Adsorption seemed to reach equilibrium at 24 h in both methods, though the initial adsorbate load was not the same at the same applied concentration in the methods. Adsorption activity differed according to soil and as well as to the methods. The highest adsorption was found in clay loam soil followed by light clay and sandy loam soil. The linear model of Freundlich adsorption was found better fitted in the case of double tube method than batch method. Suggesting that, under the experimental conditions stated here, the double tube method is more appropriate to describe the adsorption of As in the three Japanese soils under normal field condition. The concentration of As in soil water was slightly increased at different moisture levels from 50%-80% which may contribute significantly to the bioavailability of As at the moisture level below maximum filed capacity.
https://jpoll.ut.ac.ir/article_56948_33473897046a718bbf1a928d9358ce50.pdf
2016-04-01
211
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10.7508/pj.2016.02.009
Arsenic adsorption
batch method
double tube method
Freundlich adsorption isotherm
soil moisture
Razia
Sultana
razs@bau.edu.bd
1
Graduate School of Life and Environmental Sciences, University of Tsukuba, Japan
LEAD_AUTHOR
Katsuichiro
Kobayashi
karikatsukoba8@gmail.com
2
Department of Agricultural Chemistry, Bangladesh Agricultural University, Bangladesh
AUTHOR
Alvarez-Benedi, J., Bolado, S., Cancillo, I., Calvo,
1
C. and Garcia-Sinovas, D. (2005). Adsorptiondesorption
2
of arsenate in three Spanish soils.
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Carbonell-Barrachina, A.A., Burl. O., Carbonell,
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F.M. and Mataix-Beneyto, J.J. (1996). Kinetics of
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arsenite sorption and desorption in Spanish soils.
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Commun. Soil Sci. Pl. An., 27, 3101–3117.
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Cui, Y. and Weng, L. (2013). Arsenate and
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Phosphate Adsorption in Relation to Oxides
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Composition in Soils: LCD Modeling. Environ. Sci.
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Technol., 47 (13), pp 7269–7276.
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Dhareensank, A., Kobayashi, K. and Ushi, K.
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(2006). Residual phytotoxic activity of pethoxamid
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in soil water under different soil moisture
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conditions. Weed Biol. Manag., 6, 50-54.
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Feng Q., Zhang Z., Chen, Y., Liu, L., Zhang Z and
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Chen, C. (2013). Adsorption and desorption
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characteristics of arsenic on soils: kinetics, equilibrium, and effect of Fe(OH)3 colloid, H2SiO3. Procedia Environ Sci., 18, 26 – 36.
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Garcia-Sanchez, A., Alvarez-Ayuso, E. and Rodriguez-Martin, F. (2002). Sorption of As (V) by some oxyhydroxides and clay minerals. Application to its immobilization in two polluted mining soils. Clay Miner., 37, 187–194.
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Goh, K., and Lim, T. (2004). Geochemistry of inorganic arsenic and selenium in a tropical soil, effect of reaction time, pH and competitive anions on arsenic and selenium adsorption. Chemosphere, 55, 849-859.
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Lo, S.L. and Chen, T.Y. (1997). Adsorption of Se (IV) and Se (VI) on an iron-coated sand from water. Chemosphere, 35, 919–930.
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Ticknor, K.V. and McMurry, J. (1996). A study of selenium and tin sorption on granite and goethite. Radiochim. Acta, 73, 149–156.
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Zhang, H. and Selim, H.M. (2005). Kinetics of Arsenate Adsorption-Desorption in soils. Environ. Sci. Technol., 39, 6101-6108.
45
ORIGINAL_ARTICLE
Diesel Oil Utilization Efficiency of Selective Bacterial Isolates from Automobile Workshop and Thesjaswini River of Kerala
Bioremoval and bioreduction activities of hydrocarbon (diesel) isolation from environmental samples were studied by the activity of biosurfactant production, and calculating emulsification index, gravimetric, and FTIR analysis along with the estimation of bacterial biomass. Sample from soil near petrol, diesel pumps and water sample from Thesjaswini River near Padannakad, Kasaragod, Kerala, India, were used to screen the potential diesel oil utilizing bacteria. Among the bacterial isolates (Staphylococcus, Bacillus and Corynebacterium strains), Staphylococcus sp was the potent degraders of diesel oil. Staphylococcus strain was observed to be maximum diesel oil utilizing ability (73% emulsification index) and change in the functional groups of the compound (FTIR analysis). The strain showed optimal growth at 37oC with pH 7, agitation of 150 rpm and time period (5days). The results revealed the possibility to use these strain for the reduction of complex hydrocarbon in ecosystems where they accumulate and cause pollution problems. The highest rate of hydrocarbon degradation occurred when the bacterial strain is a biosurfactants producer. The selective strain produces biosurfactants which increase the interfacial area for contact to give improved uptake of hydrophobic substrates. Bacterial strains capable of degrading complex hydrocarbons, present in the environment, have a potential to be used as an effective tool for removing ecotoxic compounds. Furthermore, results indicated that the bacterial strain Staphylococcus sp could be potentially used in biodegradation of diesel oil in waste water and had a promising application in bioremediation of hydrocarbon contaminated environments.
https://jpoll.ut.ac.ir/article_56949_d7bc39af5c3c6b230ddfead4f5d01312.pdf
2016-04-01
221
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10.7508/pj.2016.02.010
bioreduction
bioremoval
biosurfactant
diesel oil
Staphylococcus sp
Usharani
K
usharaniks2003@yahoo.com
1
Department of Environmental Science, Central University of Kerala, Kerala,India
LEAD_AUTHOR
K.
Sreejina
2
Department of Environmental Science, School of Energy, Environment and Earth Sciences, Central University of Kerala, India
AUTHOR
T.
Sruthi
3
Department of Environmental Science, School of Energy, Environment and Earth Sciences, Central University of Kerala, India
AUTHOR
T.
Vineeth
4
Department of Environmental Science, School of Energy, Environment and Earth Sciences, Central University of Kerala, India
AUTHOR
Atlas, R.M. (1995). Petroleum Biodegradation and Oil Spill Bioremediation. Marine. Poll. Bull., 31: 178-182.
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Chandran, P. and Das, N. (2010). Biosurfactant production and diesel oil degradation by yeast species Trichosporon asahii isolated from petroleum hydrocarbon contaminated soil. Int. J. Engg .Sci. Technol., 2(12): 6942-6953.
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EPA., (2005). An analysis of diesel air pollution and public health in America. Retrieved from EPA United States Environmental Protection Agency. Accessed on 12.3.2015.
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Holt, J.G., Krieg, N.R., Sneath, P.H.A., Staley, J.T. and Williams, S.T. (1994). Bergey’s Manual of Determinative Systematic Bacteriology. Lippincott Williams and Wilkins, A Wolters Kluwer Company, Philadelphia.
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Lal, B., Khanna, S. (1996). Degradation of crude oil by Acinetobacterca lcoaceticus and Alcaligenes odorans. J. Appl. Bacteriol., 4: 355-362.
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Milic, J.S., Beskoski, V.P., Ilic, M.V., Ali, S.A.M. and Vrvic, M.M. (2009). Bioremediation of soil heavily contaminated with crude oil and its products: compostion of the microbial consortium. J.Serb. Chem. Soc., 74: 455-460.
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Olson, J.J., Mills, G.L., Herbert, B.E. and Moris, P.J. (1999). Biodegradation rates of separated diesel components. Environ. Tox. Chem., 18: 2448-2453.
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Rahman, K.S., Rahman, T., Lakshmanaperumalsamy, P. and Banat, I.M. (2002). Occurrence of crude oil degrading bacteria in gasoline and diesel station soils. J. Basic. Microbiol., 42: 284-291.
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Ranjana Julias Thilakar and Jeya Rathi, J. (2013). Bioremediation of diesel contaminated soil by oil degrading bacteria (Pseudomonas sp) using biostimulation method, J. Microbiol. Biotechnol. Res., 3(5): 18-26.
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Rodrigues, L.R., Teixeira, J.A., Van der Mei, H.C. and Oliveira, R. (2006). Physiochemical and functional characterization of a biosurfactant produced by Lactococcus lactis 53. Colloid. Surface. B., 49(1): 79 - 86.
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Rodriguez-Rodriguez, C., Carolina, Z. and Carolina, B. (2012). Evaluation of growth in diesel fuel and surfactants production ability by bacteria isolated from fuels in Costa Rica. Rev. Soc. Ven. Microbiology 32, 116-120.
12
Saher, M., Jesse, S.D. and Pattanathu, K.S.M.R. (2011). Influence of nitrogen and phosphorus on rhamnolipidbiosurfactant production by Pseudomonas aeruginosaDS10-129 glycerol as carbon source. Biotechnol., 10(2): 183-189.
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Varadavenkatesan, T. and Murty, V.R. (2013). Production of a lipopeptidebiosurfactants by a novel Bacillus sp.and its applicability to enhanced oil recovery. Microbiol. J. doi: 10.1155/2013/621519.
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Vilma Cipinyte, Saulius Grigiskis., Dovilė Sapokaite and Egidijus Baskys (2011). Production of biosurfactants by arthrobacter sp. n3, a hydrocarbon degrading bacterium; Environ. Technol. Resour., 1: 68-75. ISBN 978-9984-44-070-5.
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Vinod Kumar, V., Bitan Basu, Ramanathan Ramaswami, SivasubramanianViswanathan., Iyyappan Divya Priya., jayarajan Jeyan and Amala Reddy (2014). Analysis of aromatic hydrocarbon degrading capacity of thermophilic bacteria isolated from contaminated soil. J Chemtech. Res., 6(10): 4556-4563.
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Youssef, N.H., Duncan, K.E., Nagle, D.P., Savage, K.N., Knapp, R.M. and Michael, J.M. (2004). Comparison of methods to detect biosurfactant production by diverse microorganisms. J. Microbiol. Meth., 56(3): 339-347.
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