Estimation of nitrate concentration in groundwater of Kadava river basin-Nashik district, Maharashtra, India by using artificial neural network model

Modeling Earth Systems and Environment

Volumn 3, Issue 1, 2017, Pages

  Wagh, Vasant Madhav ^a   Panaskar, Dipak Baburao ^a   Muley, Aniket Avinash ^a  

^a SWAMI RAMANAND TEERTH MARATHWADA UNIVERSITY   (India)

Author keywords

ANN; Groundwater quality; Nashik; Nitrate

Indexed keywords

AQUIFER; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (COMPOSITION); ESTIMATION METHOD; GROUNDWATER; NITRATE; WATER MANAGEMENT;

INDIA; MAHARASHTRA; NASHIK;

EID: 85065899577     PISSN: 23636203     EISSN: 23636211     Source Type: Journal    
DOI: 10.1007/s40808-017-0290-3     Document Type: Article

References (29)

1. Agarwal R (2012) Nitrate contamination in ground water samples of Gangapur city town (Sawai Madhopur District) Rajasthan. J Chem Biol Phys Sci 2(1):511–513
2. APHA (2005) Standard methods for the examination of water and wastewater, 21st edn. American Public Health Association, New York
3. Assaf H, Saadeh M (2009) Geostatistical assessment of groundwater nitrate contamination with reflection on DRASTIC vulnerability assessment: the case of the Upper Litani Basin, Lebanon. Water Resour Manage 23:775–796 DOI: 10.1007/s11269-008-9299-8
4. BIS (2012) Indian standards specification for drinking water, BIS: 10500: 2012. http://www.cgwb.gov.in/Documents/WQ-standards.pdf
5. Burkardt MR, Kolpin DW (1993) Hydrogeologic and landuse factors associated with the herbicide and nitrate occurrence in near surface aquifers. J Envviron Qual 22:646–656 DOI: 10.2134/jeq1993.00472425002200040002x
6. Central Groundwater Board (CGWB) (2014) http://cgwb.gov.in/district_profile/maharashtra/nashik.pdf
7. Chang FJ, Tsai WP, Chen HK, Yam RSW, Herricks EE (2013) A self organizing radial basis network for estimating riverine fish diversity. J Hydrol 476:280–289 DOI: 10.1016/j.jhydrol.2012.10.038
8. Chen J, Wu H, Qian H, Gao Y (2016) Assessing nitrate and fluoride contaminants in drinking water and their health risk of rural residents living in a semiarid region of northwest china. Exposure Health (London). doi:10.1007/s12403-016-0231-9
9. Comly HH (1987) Cyanosis in infants caused by nitrates in well water. J Am Med Assoc 257:2788–2792 DOI: 10.1001/jama.1987.03390200128027
10. Ehteshami M, Farahani ND, Tavassoli S (2016) Simulation of nitrate contamination in groundwater using artificial neural networks. Model Earth Syst Environ 2(1):1–10 DOI: 10.1007/s40808-016-0080-3
11. Fijani E, Nadiri AA, Moghaddam AA, Tsai FTC, Dixon B (2013) Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran. J Hydrol 503:89–100 DOI: 10.1016/j.jhydrol.2013.08.038
12. Geological Survey of India (GSI) (2001) District resource Map. GSI, Nashik district
13. Goyal SK, Chaudhary BS, Singh O, Sethi GK, Thakur PK (2010) GIS based spatial distribution mapping and suitability evaluation of groundwater quality for domestic and agricultural purpose in Kaithal district, Haryana state, India. Environ Earth Sci 61(8):1587–1597. DOI: 10.1007/s12665-010-0472-z
14. Hubbard RK, Sheridan JM, Adriano DC, Iskandar AK, Murarka IP (1994) Nitrates in groundwater in the southeastern USA. Contamination of groundwaters, pp 303–345
15. Kumar PS (2017) Geostatistical modeling of fluoride enrichment and nitrate contamination in the groundwater of Lower Bhavani Basin in Tamil Nadu, India. Model Earth Syst Environ 3(1):1 DOI: 10.1007/s40808-016-0260-1
16. Laurent M, François A, Marie MJ (2010) Assessment of groundwater quality during dry season in Southeastern Brazzaville, Congo
17. Maharashtra pollution control board (MPCB) CSIR-National Environmental Engineering Research Institute (NEERI) (2014) Water quality status of water bodies of Maharashtra with resources to analytical and statistical tool (2007–2011) http://mpcb.gov.in/ereports/pdf/waterreport2007-2011.pdf
18. Maithani S (2009) A neural network based urban growth model of an Indian city. J Indian Soc Remote Sens 37(3):363–376 DOI: 10.1007/s12524-009-0041-7
19. Meisinger JJ, Randall GW (1991) Estimating nitrogen budgets for soil-crop systems. Managing nitrogen for groundwater quality and farm profitability, (managingnitroge), pp 85–124
20. Panaskar DB, Wagh VM, Muley AA, Mukate SV, Pawar RS, Aamalawar ML (2016) Evaluating groundwater suitability for the domestic, irrigation, and industrial purposes in Nanded Tehsil, Maharashtra, India, using GIS and statistics. Arabian J Geosci 9(13):615 DOI: 10.1007/s12517-016-2641-1
21. Reddy AGS (2013) Geochemical evaluation of nitrate and fluoride contamination in varied hydrogeological environs of Prakasam district, southern India. Environ Earth Sci 71:4473–4495 DOI: 10.1007/s12665-013-2841-x
22. Salami ES, Ehteshami M (2015) Simulation, evaluation and prediction modeling of river water quality properties (case study: Ireland rivers). Int J Eng Sci Technol 12(10):3235–3242. doi:10.1007/s13762-015-0800-7
23. Sharma V, Negi SC, Rudra RP, Yang S (2003) Neural networks for predicting nitrate-nitrogen in drainage water. Agric Water Manag 63(3):169–183 DOI: 10.1016/S0378-3774(03)00159-8
24. Strebel O, Duynisveld W, Bo¨ttcher J (1989) Nitrate pollution of groundwater in Western Europe. Agric Ecosyst Environ 26(3):189–214 DOI: 10.1016/0167-8809(89)90013-3
25. Subramani T, Elango L, Damodarasamy SR (2005) Groundwater quality and its suitability for drinking and agricultural use in Chithar River Basin, Tamil Nadu, India. Environ Geol 47:1099–1110 DOI: 10.1007/s00254-005-1243-0
26. Todd DK (1980) Groundwater hydrology, 2nd edn. Wiley, New York
27. Toth J (1999) Groundwater as a geologic agent: an overview of the causes, processes, and manifestations. Hydrogeol J 7(1):1–14 DOI: 10.1007/s100400050176
28. Wagh VM, Panaskar DB, Muley AA, Mukate SV, Lolage YP, Aamalawar ML (2016b) Prediction of groundwater suitability for irrigation using artificial neural network model: a case study of Nanded tehsil, Maharashtra, India. Model Earth Syst Environ 2(4):196 DOI: 10.1007/s40808-016-0250-3
29. Wagh VM, Panaskar DB, Varade AM, Mukate SV, Gaikwad SK, Pawar RS, Muley AA, Aamalawar ML (2016a) Major ion chemistry and quality assessment of the groundwater resources of Nanded tehsil, a part of southeast Deccan Volcanic Province, Maharashtra, India. Environ Earth Sci 75(21):1418