Environmental policy and management of freshwater resources in the Haraz-Ghareh Su Basin in comparison to other Caspian sub basins

Document Type : Original Research Paper


1 Ph.D. Student of Environmental Planning, Faculty of Environment, Tehran University, Tehran, Iran.

2 Professor of Environmental Planning and Management, Faculty of Environment, Tehran University, Iran.

3 Professor of Environmental Engineering Water and Wastewater, Faculty of Environment, University of Tehran, Tehran, Iran.

4 PhD in Hydrology and Water Resources, Deputy of Major Planning Affairs of Ab and Abfa, Iran Ministry of Energy. Tehran, Iran.

5 Professor of Costal Engineering, Faculty of Environment and Energy, Islamic Azad University, Tehran Science and Research Branch, Tehran Iran



Haraz-Ghareh Su is one of the seven sub-basins of the Caspian basin, located on the southern shores of the Caspian Sea, and as such, is in danger of water crisis due to absence of proper systematic policy and strategy. In this study, the pressure factors on the Haraz-Ghareh Su water resources were identified using DPSIR model. Then, the pressure parameters on the freshwater resources in the Caspian Basin were scored and prioritized into two categories: human and non-human criteria and eight sub-criteria with the help of questionnaires (the opinion of 36 specialists in environmental planning and management, as well as the use of FANP). Thereafter, the data layers were processed with the help of IDRISI software, and eventually, the data were overlaid in the ArcGIS and the final plan was made. The findings of the study shows that, among 8 effective sub-criteria on the environmental planning and management of the freshwater resources in the Haraz-Ghareh Su Basin, agricultural water consumption with 0.243 score points and dam-making with 0.039 score points are considered most and least important sub-criteria, respectively. Consequently, after the compilation and scoring of sub-basins of the Caspian basin, it appears that the sub-basin of Haraz-ghare Su with 0.158627 points had the worst situation in terms of the planning and management of freshwater resources in the Caspian basin. In order to decrease the pressure on the freshwater resources in the Haraz-Ghareh Su Basin, the formulation of long-term policy and strategy in this basin seems to be essential.


Alam Tabriz, A. and Bagherzade Azar, M. (2009). Combining AHP and TOPSIS Adjusted for supplier selection strategy. Res. Manage, 6 (2), 149-181. (In Persian).
Atkinsona, D.M., Deadmanb, P., Dudychab, D., Traynorc, S. (2005). Multi-criteria evaluation and least cost path analysis for an arctic all-weather road. Geogr., 25(7), 287–307.
Azaiez, M.N. (2002). A model for conjunctive use of ground and surface water with opportunity costs. Eur. J. Oper. Res., 143(38), 611–624.
Bender, M.J. and Simonovic, S.P. (2000). A fuzzy compromise approach to water resources planning under uncertainty. Fuzzy Sets. Syst., 115(1):35–44.
Bonham-Carter. G.F. (1994). Geographic information systems for geoscientists: Modeling with GIS. (Ottawa: Pergamon Press)
Boroushaki, S. and Malczewski, J. (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Comput. & Geosci., 34 (4), 399-410.
Burrough, P.A. (1990). Methods of Spatial Analysis in GIS. Int. J. Geogr. Inform. Syst., 4(2), 221-223.
Carver, S.J. (1991). Integrating Multi-Criteria Evaluation with Geographical Information Systems. Int. J. Geogr. Inform. Syst., 5(3), 321-339.
Deng, H. (1999). Multicriteria analysis with fuzzy pairwise comparisons. Int. J. Approx. Reason., 21(9), 215-231.
Dombi, J. (1990). Membership function as an evaluation. Fuzzy SETS SYST., 35(1), 1-21.
Eastman, J.R. (2012). IDRISI Selva manual. (Clark: Clark University Press)
EEA European Environment Agency (2006). EEA Glossary. Retrieved November24. http://glossary. eea.eu.int/EEAGlossary/D/DPSIR.
Edirisinghe, N.C.P., Patterson, E.I., Saadouli, N. (2000). Capacity planning model for a multipurpose water reservoir with target-priority operation. Annals Oper. Res., 100(15), 273–303.
Faye, R.M., Sawadogo, S., Mora-Camino, F. (2005). Flexible management of water resource systems. Appl. Math Comput., 167(1), 516–27.
Gabrielsen, P. and Bosch, P. (2003). Environmental Indicators: Typology and Use in Reporting, European Environment Agency. EEA Internal Working Paper.Retrieved July11. http://didattica.ambra.unibo.it/didattica/att/456d.file.pdf
Ghosh, J.K., Bhattacharya, D., Sharma, S.K. (Eds.) (2012). Fuzzy Knowledge Based GIS for Zonation of Landslide Susceptibility. Applications of Chaos and Nonlinear Dynamics in Science and Engineering. (New Delhi, Indian Institute of Technology Roorker Press)
Gogus, O. and Boucher, T.O. (1998). Strong Transitivity, Rationality and Weak Monotonicity in Fuzzy Pairwise Comparisons. Fuzzy Sets. Syst., 94 (98), 133-144.
Ghodsi poor, H. (2010). Analytical Hierarchy Process (AHP). (Tehran, Amirkabir University of Technology Press) (In Persian).
Hansen, H.S. (2005, February). GIS-based multi-criteria analysis of wind farm development. ScanGIS.(Paper present at the 24th annual meeting of the Scandinavian Research Conference on Geographical Information Science, Stockholm).
Huang, G.H. and Chang, N.B. (2003). The perspectives of environmental informatics and systems analysis. Environ. Informatics., 24(27), 1-6.
Huang, G.H. (1998). A hybrid inexact-stochastic water management model. Eur.J. Oper. Res., 107(111), 137-158.
Huang, G.H. (1996). IPWM: an interval parameter water quality management model. Eng Optim., 26(30), 79–103.
Jairaj, P.G. and Vedula, S. (2000). Multi-reservoir system optimization using fuzzy mathematical programming. Water Resour. Manage., 14(14), 457-472.
Kabir, S., Edifor, E., Walker, M., Gordon, N. (2014, July). Quantification of Temporal Fault Trees Based on Fuzzy Set Theory. (Paper present at the 9th annual meeting of International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, Poland).
Lee, S. (2007). Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environ. Geol., 52(4), 615-623.
Leung, L.C. and Cao, D. (2000) . On consistency and ranking of alternatives in fuzzy AHP.Eur.J. Oper. Res., 124(126), 213-221.
Lin, H., Kao, J., Li, K. (1996). Fuzzy GIS assisted landfill siting analysis.(Paper present at the 5th annual meeting of International Conference on Solid Waste Technology and Management, Beijing).
Linkov, I., Satterstrom, F.K., Steevens, J., Ferguson, E., Pleus, R.C. (2007). Multi-criteria decision analysis and environmental risk assessment for nonmaterial’s. Nanopartic. Res., 9(9), 543–554.
Li, Y. P. and Huang, G.H.(2008). Interval-parameter two-stage stochastic nonlinear programming for water resources management under uncertainty. Water Res. Manage., 22(25), 681-698.
Lu, H.W., Huang, G.H., He, L. (2010). Development of an interval-valued fuzzy linear programming method based on infinite a-cuts for water resources management. Environ. Modell. Softw., 25(33), 354-361.
Li, Y.P., Huang, G.H., Nie, S.L. (2006). An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty. AdvanceWater Res., 29(35), 776-789.
Luo, B., Maqsood, I., Yin, Y.Y., Huang, G.H., Cohen, S.J. (2003). Adaption to climate change through water trading under uncertainty - an inexact two-stage nonlinear programming approach. Environ.Informatics., 2(2), 58-68.
Li, Y.P., Huang, G.H., Nie, S.L., Qin, X.S. (2007). ITCLP: an inexact two-stage chance constrained program for planning waste management systems. Resour.Convers.Recy., 49(51), 284-307.
Li, Y.P., Huang, G.H., Nie, S.L. (2010). Planning water resources management systems using a fuzzy-boundary interval-stochastic programming method. AdvanceWaterRes., 33(37), 1105-1117.
Lee, C.S. and Chang, S.P. (2005). Interactive fuzzy optimization for an economic and environmental balance in a river system. Water Res., 39(40), 221–31.
Malczewski, J. (1999). GIS and Multicriteria Decision Analysis. (New York, John Wiely and Sons Press)
Li, Y.P., Huang, G.H., Huang, Y.F., Zhou, H.D. (2009). A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management. Environ. Modell. Softw., 24(26), 786-797.
Maqsood, I., Huang, G.H., Yeomans, J.S. (2005). An interval-parameter fuzzy two stage stochastic program for water resources management under uncertainty. Eur.J.Oper.Res., 167(175), 208-225.
Ministry of Energy. (2013). Water Master Plan update in the Aras, Urmia, Talesh, Sefidrud, Sefidrud-Haraz, Haraz-Ghareh Su, Gorganrud-Ghareh Su, Atrak. Volume 28, 29, 30. Ministry of Energy, Water and Abfa Deputy, Office of Planning and Abfa macro water. (Tehran, Ministry of Energy Press). (In Persian).
Ministry of Energy. (2013). Iran Statistical Yearbook of water 2009-2010. Ministry of Energy, Water and Abfa Deputy, Office of Planning and Abfa macro water. (Tehran, Ministry of Energy Press).(In Persian).
Nasiri, F., Maqsood, I., Huang, G., Fuller, N. (2007). Water quality index: a fuzzy riverpollution decision support expert system. Asce-J.WaterRes. Plann. Manage., 133 (2), 95–105.
Onut, S., Kara, S., Soner, I. E. (2009). Long Term Selection Using a Combined Fuzzy MCDM Approach: A Case Study for a Telecommunication Company.Expert Syst. Appl., 36 (9), 3887-3895.
Pallottino, S., Sechi, G.M., Zuddas, P. (2005). A DSS for water resources management under uncertainty by scenario analysis. Environ. Modell. Softw., 20(20), 1031–1042.
Razmi, J., Sadegh Amal Nik, M., Hashemi, M. (2008). Supplier selection techniques using fuzzy analytic network process. TehranUni.Eng., 42(48),935-946. (In Persian).
Spangenberg, J.H., Douguet, J.M., Settele, J., Heong, K.L. (2015). Escaping the lock-in of continuous insecticide spraying in rice: Developing an integrated ecological and socio-political DPSIR analysis. Ecol.Modell., 295(303), 188–195.
Statistical Center of Iran. (2012). Iran Census of Population and Housing, 2011. (Tahran, Statistical Center of Iran Press). (In Persian).
Smeets, E., Weterings, R. (1999). Environmental Indicators: Typology and Overview. (Copenhagen,European Environment Agency Press).
Slowinski, R. (1986). A multicriteria fuzzy linear programming method for water supply system development planning. FuzzySetsSyst., 19(19), 217-237.
Seifi, A. and Hipel, K.W. (2001). Interior-point method for reservoir operation with stochastic inflows. Asce-J.WaterRes. Plann. Manage., 127(135), 48-57.
Saaty, T.L. (1980). Fundamentals of decision making and priority theory with the analytic hierarchy process. (Pittsburgh, Pittsburg University Press).
Shahabi, H. and Niyazi, Ch. (2009, March). Effecting factors in relief and rescue stations site selection by using weighted linear combination, case study: Saghez-Sanandaj road. (Paper present at the 8th annual meeting of International Conference on Geomatics, Tehran). (In Persian)
Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., Delen, D. (2012). Development of a fuzzy ANP based SWOT analysis for the airline 
ndustry in Turkey. Expert Syst. Appl., 39(43), 14–24. Valizadeh, K. and Shababi, H. (2009). Necessities of GIS usage in urban water management at the time of Natural accidents (case study: Saqqez city). (Paper present at the 4th annual meeting of International Conference on Geographic, paris). Voogd, H. (1983). Multicriteria Evaluation for Urban and Regional Planning. (London: Pion, Ltd Press). Wang, L.Z., Fang, L., Hipel, K.W. (2003). Water resources allocation: a cooperative game theoretic approach. Environ. Informatc., 2(2), 11-22.
Wu, S.M., Huang, G.H., Guo, H.C. (1997). An interactive inexact-fuzzy approach for multi objective planning of water resource systems. Water Sci. Tech., 36(44), 235-242.
Wang, S., Huang, G.H., Lu, H.W., Li, Y.P. (2010). An interval-valued fuzzy linear programming with infinite a-cuts method for environmental management under uncertainty. Environ. Res. Risk Asses., 25(31), 211-222.
Wang, S. and Huang, G.H. (2011). Interactive two-stage stochastic fuzzy programming for water resources management. Environ. Manage., 92(102), 1986-1995.
Zhang, Y.M., Lu, H.W., Nie, X.H., He, L., Du, P. (2014). An interactiove inexact fuzzy bounded programming approach for agriculture water quality management. Agr. Water Manage., 133(141), 104-111.
Zimmermann, H.J. and Zysno, P. (1980). Latent connectives in human decision making. FuzzySetsSyst., 4(4), 37–51.