Alavi, N., Nozari, V., Mazloumzadeh, S. M., & Nezamabadi-pour, H. (2010). Irrigation water quality evaluation using adaptive network-based fuzzy inference system. Paddy and Water Environment, 8, 259-266.
Ambika, A. K., Wardlow, B., & Mishra, V. (2016). Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015. Scientific data, 3(1), 1-14.
APHA, A. WEF (2012) Standard Methods for the Examination of Water and Wastewater, 22. Washington, American Public Health Association, USA.
Ayars, J. E., & Tanji, K. K. (1999). Effects of drainage on water quality in arid and semiarid irrigated lands. Agricultural drainage, 38, 831-867.
Ayers, R. S., & Westcot, D. W. (1985). Water quality for agriculture (Vol. 29, p. 174). Rome: Food and Agriculture Organization of the United Nations.
Central Ground Water Board (2017), Report on Aquifer Mapping and Management Plan, Government of India. Retrieved on February 25, 2023, from cgwb.gov.in
Chidambaram, S., Prasanna, M. V., Venkatramanan, S., Nepolian, M., Pradeep, K., Panda, B., & Thilagavathi, R. (2022). Groundwater quality assessment for irrigation by adopting new suitability plot and spatial analysis based on fuzzy logic technique. Environmental research, 204, 111729.
Civanlar, M. R., & Trussell, H. J. (1986). Constructing membership functions using statistical data. Fuzzy sets and systems, 18(1), 1-13.
Dhaoui, O., Agoubi, B., Antunes, I. M., Tlig, L., & Kharroubi, A. (2022). Groundwater quality for irrigation in an arid region—application of fuzzy logic techniques. Environmental Science and Pollution Research, 1-17.
Domenico, P.A. & Schwartz, F.W. (1990) Physical and Chemical Hydrogeology. John Wiley and Sons, New York, 824 p.
Eaton, F. M. (1950). Significance of carbonates in irrigation waters. Soil science, 69(2), 123-134.
El Behairy, R. A., El Baroudy, A. A., Ibrahim, M. M., Kheir, A. M., & Shokr, M. S. (2021). Modelling and assessment of irrigation water quality index using GIS in semi-arid region for sustainable agriculture. Water, Air, & Soil Pollution, 232(9), 352.
Gandhi, V. P., & Bhamoriya, V. (2011). Groundwater irrigation in India. India infrastructure report, 90.
Gautam, S. K., Maharana, C., Sharma, D., Singh, A. K., Tripathi, J. K., & Singh, S. K. (2015). Evaluation of groundwater quality in the Chotanagpur plateau region of the Subarnarekha river basin, Jharkhand State, India. Sustainability of Water Quality and Ecology, 6, 57-74.
Gibbs, R. J. (1970). Mechanisms controlling world water chemistry. Science, 170(3962), 1088-1090.
Hao, W., Hanting, Z., Wenjuan, X., & Jinling, Z. (2012). Evaluation of groundwater quality using improved fuzzy comprehensive assessment based on AHP. Int. J. Appl. Sci. Eng. Res, 2, 377-384.
IS 11624, (1986). Guidelines for the quality of irrigation water. Bureau of Indian Standards.
Kelly, W. P. (1940). Permissible composition and concentration of irrigated waters. Proceedings of the ASCF66, 607.
Liu, H., & Kong, F. (2005). A new MADM algorithm based on fuzzy subjective and objective integrated weights. International journal of information and systems sciences, 1(3-4), 420-427.
Maghrebi, M., Noori, R., Partani, S., Araghi, A., Barati, R., Farnoush, H., & Torabi Haghighi, A. (2021). Iran’s groundwater hydrochemistry. Earth and Space Science, 8(8), e2021EA001793.
Mia, M. Y., Islam, A. R. M. T., Jannat, J. N., Jion, M. M. M. F., Sarker, A., Tokatli, C., ... & Senapathi, V. (2023). Identifying factors affecting irrigation metrics in the Haor basin using integrated Shannon’s entropy, fuzzy logic and automatic linear model. Environmental Research, 226, 115688.
Mirabbasi, R., Mazloumzadeh, S. M., & Rahnama, M. B. (2008). Evaluation of irrigation water quality using fuzzy logic. Research Journal of Environmental Sciences, 2(5), 340-352.
Noori, R., Maghrebi, M., Jessen, S., Bateni, S. M., Heggy, E., Javadi, S., ... & AghaKouchak, A. (2023). Decline in Iran’s groundwater recharge. Nature Communications, 14(1), 6674.
Paliwal, K. V. (1972). Irrigation with Saline water (pp. 198). New Delhi: Water Technology Centre, Indian Agricultural Research Institute.
Piper, A. M. (1944). A graphic procedure in the geochemical interpretation of water‐analyses. Eos, Transactions American Geophysical Union, 25(6), 914-928.
Report of Dynamic Groundwater Resources of Karnataka, March, (2020). Retrieved on February 18, 2023, from antharjala.karnataka.gov.in.
Richards, L. A. (1954). Diagnosis and Improvement of Saline Alkali Soils, Agriculture, 160, Handbook 60. US Department of Agriculture, Washington DC.
Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423.
Sutradhar, S., & Mondal, P. (2021). Groundwater suitability assessment based on water quality index and hydrochemical characterization of Suri Sadar Sub-division, West Bengal. Ecological Informatics, 64, 101335.
Wilcox, L. V. (1948). The Quality of Water for Irrigation Use, US Department of Agriculture, Technical Bulletin No. 962, Washington, D.C., 1948, p. 40.
Wilcox, L. V. (1955). Classification and Use of Irrigation Waters (pp. 19). Circular No. 960, Washington DC: US Department of Agriculture.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zahedi, S. (2017). Modification of expected conflicts between drinking water quality index and irrigation water quality index in water quality ranking of shared extraction wells using multi criteria decision making techniques. Ecological Indicators, 83, 368-379.
Zaveri, E., Grogan, D. S., Fisher-Vanden, K., Frolking, S., Lammers, R. B., Wrenn, D. H., ... & Nicholas, R. E. (2016). Invisible water, visible impact: groundwater use and Indian agriculture under climate change. Environmental Research Letters, 11(8), 084005.
Zhang, H., Zhou, M., & Lan, X. (2019). A fuzzy synthetic evaluation method of flame stability based on time–frequency analysis and higher-order statistics. Energies, 12(7), 1196.
Zhang, W., Li, B., Liu, Z., & Zhang, B. (2021). Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county. Earth Science Informatics, 14, 1101-1109.