title: Modeling of nitrate concentration in groundwater using artificial intelligence approach--a case study of Gaza coastal aquifer.
abstract: Nitrate concentration in groundwater is influenced by complex and interrelated variables, leading to great difficulty during the modeling process. The objectives of this study are (1) to evaluate the performance of two artificial intelligence (AI) techniques, namely artificial neural networks and support vector machine, in modeling groundwater nitrate concentration using scant input data, as well as (2) to assess the effect of data clustering as a pre-modeling technique on the developed models' performance. The AI models were developed using data from 22 municipal wells of the Gaza coastal aquifer in Palestine from 2000 to 2010. Results indicated high simulation performance, with the correlation coefficient and the mean average percentage error of the best model reaching 0.996 and 7 %, respectively. The variables that strongly influenced groundwater nitrate concentration were previous nitrate concentration, groundwater recharge, and on-ground nitrogen load of each land use land cover category in the well's vicinity. The results also demonstrated the merit of performing clustering of input data prior to the application of AI models. With their high performance and simplicity, the developed AI models can be effectively utilized to assess the effects of future management scenarios on groundwater nitrate concentration, leading to more reasonable groundwater resources management and decision-making.
authors: School of Civil Engineering, Universiti Sains Malaysia, 14300, Nibong Tebal, Pulau Pinang, Malaysia.
authors: Jawad S
authors: JS
authors: Alagha
authors: Md Azlin Md
authors: MA
authors: Said
authors: Yunes
authors: Y
authors: Mogheir
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D060587:Groundwater / Q000737:chemistry*; D008877:Middle East; D008956:Models, Chemical; D016571:Neural Networks, Computer; D009566:Nitrates / Q000032:analysis*; D014874:Water Pollutants, Chemical / Q000032:analysis*
chemical_list: D009566:Nitrates; D014874:Water Pollutants, Chemical
references: Ground Water. 2005 Mar-Apr;43(2):231-41
references: 15819944
references: Environ Geochem Health. 2011 Apr;33(2):189-202
references: 20577784
references: J Hazard Mater. 2007 May 17;143(3):690-701
references: 17270344
references: J Environ Manage. 2005 Mar;74(4):365-81
references: 15737460
references: Sci Total Environ. 2008 Jul 15;398(1-3):164-74
references: 18407316