[1] | Chen, S.H., A.J. Jakeman, and J.P. Norton, Artificial intelligence techniques: an introduction to their use for modelling environmental systems. Mathematics and computers in simulation, 2008. 78(2): p. 379-400. |
[2] | Trichakis, I.C., I.K. Nikolos, and G. Karatzas, Artificial neural network (ANN) based modeling for karstic groundwater level simulation. Water resources management, 2011. 25(4): p. 1143-1152. |
[3] | Schulze, F., et al., Applications of artificial neural networks in integrated water management: fiction or future? Water science and technology: a journal of the International Association on Water Pollution Research, 2005. 52(9): p. 21. |
[4] | Yesilnacar, M.I. and E. Sahinkaya, Artificial neural network prediction of sulfate and SAR in an unconfined aquifer in southeastern Turkey. Environmental Earth Sciences, 2012: p. 1-9. |
[5] | Nourani, V., Conjugation of Artificial Neural Network and Geostatistics Approaches for Groundwater Modeling. Recent Researches in Environmental and Geological Sciences. 2012. ISBN: 978-1-61804-110-4 |
[6] | Seyam, M. and Y. Mogheir, Application of Artificial Neural Networks Model as Analytical Tool for Groundwater Salinity. Journal of Environmental Protection, 2011. 2: p. 56-71. |
[7] | Almasri, M.N. and J.J. Kaluarachchi, Modular neural networks to predict the nitrate distribution in ground water using the on-ground nitrogen loading and recharge data. Environmental Modelling & Software, 2005. 20(7): p. 851-871. |
[8] | Behzad, M., K. Asghari, and E.A. Coppola Jr, Comparative Study of SVMs and ANNs in Aquifer Water Level Prediction. Journal of Computing in Civil Engineering, 2010. 24: p. 408. |
[9] | Yoon, H., et al., A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer. Journal of Hydrology, 2010. 396(1): p. 128-138. |
[10] | Dixon, B., A case study using support vector machines, neural networks and logistic regression in a GIS to identify wells contaminated with nitrate-N. Hydrogeology Journal, 2009. 17(6): p. 1507-1520. |
[11] | Chau, K., A review on integration of artificial intelligence into water quality modelling. Marine pollution bulletin, 2006. 52(7): p. 726-733. |
[12] | UNCT, Gaza in 2020 A liveable place? 2012, Office of the United Nations Special Coordinator for the Middle East Peace Process (UNSCO) - A report by the United Nations Country Team in the occupied Palestinian territory: Jerusalem. |
[13] | PCBS, Statistical Yearbook of Palestine 2012, Palestinian Central Bureau of Statistics 2011: Ramalla- Palestine. |
[14] | Shomar, B., Groundwater contaminations and health perspectives in developing world case study: Gaza Strip. Environmental Geochemistry and Health, 2011. 33(2): p. 189-202. |
[15] | Almasri, M.N. and S.M.S. Ghabayen, Analysis of nitrate contamination of Gaza coastal aquifer, Palestine. Journal of Hydrologic Engineering, 2008. 13: p. 132. |
[16] | Shomar, B., S. Fkher, and A. Yahya, Assessment of groundwater quality in the Gaza Strip, Palestine using GIS Mapping. Journal of Water Resource and Protection, 2010. 2(2): p. 93-104. |
[17] | Yakirevich, A., et al., Simulation of seawater intrusion into the Khan Yunis area of the Gaza Strip coastal aquifer. Hydrogeology Journal, 1998. 6(4): p. 549-559. |
[18] | Shomar, B., K. Osenbruck, and A. Yahya, Elevated nitrate levels in the groundwater of the Gaza Strip: Distribution and sources. Science of the Total Environment, 2008. 398(1-3): p. 164-174. |
[19] | Baalousha, H., Analysis of nitrate occurrence and distribution in groundwater in the Gaza Strip using major ion chemistry. Global NEST J, 2008. 10: p. 337-349. |
[20] | Bekesi, G., M. McGuire, and D. Moiler, Groundwater allocation using a groundwater level response management method—Gnangara groundwater system, Western Australia. Water resources management, 2009. 23(9): p. 1665-1683. |
[21] | Coulibaly, M. and S. Becker, Spatial interpolation of annual precipitation in South Africa-comparison and evaluation of methods. Water International, 2007. 32(3): p. 494-502. |
[22] | Hamdan, S.M., U. Troeger, and A. Nassar, Stormwater Availability in the Gaza Strip, Palestine. International Journal of Environment and Health, 2007. 1(4): p. 580-594. |
[23] | Metcalf and Eddy, Coastal Aquifer Management Plan (CAMP). Final model report (task 7). . 2000, USAID. |
[24] | Al-Mahallawi, K., et al., Using of neural networks for the prediction of nitrate groundwater contamination in rural and agricultural areas. Environmental Earth Sciences, 2012. 65(3): p. 917-928. |