Quantifying the impact of urban area expansion on groundwater recharge and surface runoff

References

• Abbaspour, K.C., Johnson, C.A., and Genuchten, T., 2004. Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone Journal, 1352, 1340–1352. doi:10.2113/3.4.1340.
   Google Scholar
• Abbaspour, K.C., et al., 2007. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333 (2–4), 413–430. doi:10.1016/j.jhydrol.2006.09.014.
   Web of Science ®Google Scholar
• Aish, A., Batelaan, O., and De Smedt, F., 2010. Distributed recharge estimation for groundwater modelling using WETSPASS, case study: Gaza Strip, Palestine. The Arabian Journal for Science and Engineering, 35 (1B), 155–164.
   Web of Science ®Google Scholar
• Ajjur, S. and Mogheir, Y., 2012. Effect of climate change on the groundwater resources (Gaza Strip case study). International Journal of Sustainable Energy and Environment, 1 (8), 136–149.
   Google Scholar
• Baaloush, H., 2008. Analysis of nitrate occurrence and distribution in groundwater in the Gaza Strip using major ion chemistry. Global NEST Journal, 10 (3), 337–349.
   Web of Science ®Google Scholar
• Chu, J., Zhang, C., and Zhou, H., 2010. Study on interface and frame structure of SWAT and MODFLOW models coupling. Geophysical Research–EGU General Assembly Conference Abstracts, 12, 4559.
   Google Scholar
• Coastal Municipalities Water Utility (CMWU)–Gaza, 2010. Water Status in the Gaza Strip and Future Plans, Annual report [Online], Available from: http://www.cmwu.ps [Accessed August 2013].
   Google Scholar
• Dan, J., et al., 1976. The soil of Israel (Historical Palestine) with map 1:500,000. Bet Dagan: Ministry of Agriculture, Division of Scientific Publications.
   Google Scholar
• Dong, W., et al., 2013. Relative effects of human activities and climate change on the river runoff in an arid basin in northwest China. Hydrological Processes, published online. doi:10.1002/hyp.9982.
   Web of Science ®Google Scholar
• Dudeen, B., 2001. The soils of Palestine (The West Bank and Gaza Strip) current status and future perspectives. Options Méditerranéennes: Série B. Etudes et Recherches, 34, 203–225.
   Google Scholar
• Fadil, A., et al., 2011. Hydrologic modelling of the Bouregreg watershed (Morocco) using GIS and SWAT Model. Journal of Geographic Information System, 3 (4), 279–289. doi:10.4236/jgis.2011.34024.
   Google Scholar
• Food and Agriculture Organization of the United Nations FAO, 2006. Guidelines for soil description. Rome: FAO. ISBN 92-5-105521-1.
   Google Scholar
• Geron, R., Amit, R., and Grossman, S., 1985. Dust availability in desert terrains, a study in the deserts of Israel and the Sinai. Institute of Earth Sciences-the Hebrew University of Jerusalem, project for the US Army Research, and Development and Standardization Group-UK. Contract No. DAJA45-83-C-0041.
   Google Scholar
• Ghabayen, S., 2001. Archived data about Gaza Strip, Utah State University [Online]. Available from: http://hydrology.neng.usu.edu/giswr/archive00/termpa-pers/ghabayen.htm [Accessed May 2010]
   Google Scholar
• Government portal–Israel, 2013. Metrological data [Online]. Available from: http://data.gov.il/ims [Accessed August 2013].
   Google Scholar
• Hamad, J., et al., 2012. Modeling the impact of land-use change on water budget of Gaza Strip. Journal of Water Resource and Protection, 4, 325–333. doi:10.4236/jwarp.2012.46036.
   Google Scholar
• Hamdan, S., Troeger, S., and Nassar, A., 2007. Stormwater availability in the Gaza Strip, Palestine. International Journal of Environment and Health, 1 (4), 580–594. doi:10.1504/IJENVH.2007.018582.
   Google Scholar
• HWE (House of Water and Environment), 2010. Ground Water Protection Plan for Gaza Coastal Aquifer project, Final report [Online]. Available from: http://www.hwe.org.ps/ [Accessed March 2011].
   Google Scholar
• Isaac, J., et al., 2006. Analysis of urban trends and landuse changes in the Gaza Strip. Applied Research Institute–Jerusalem (ARIJ) [Online]. the report Available from: http://www.arij.org/publications/books-a-atlases/ [Accessed August 2013].
   Google Scholar
• Ismail, M., Moghavvemi, M., and Mahlia, T., 2013. Energy trends in Palestinian territories of West Bank and Gaza Strip: Possibilities for reducing the reliance on external energy sources. Renewable and Sustainable Energy Reviews, 28, 117–129. doi:10.1016/j.rser.2013.07.047.
   Web of Science ®Google Scholar
• Karcher, S., VanBriesen, J., and Nietch, C., 2013. Alternative land-use method for spatially informed watershed management decision making using SWAT. Journal of Environmental Engineering, 139 (12), 1413–1423. doi:10.1061/(ASCE)EE.1943-7870.0000770.
   Web of Science ®Google Scholar
• Khalaf, A., Al-Najar, H., and Hamed, J., 2006. Assessment of rainwater run-off due to the proposed regional plan for Gaza governorates. Journal of Applied Sciences, 6 (13), 2693–2704. doi:10.3923/jas.2006.2693.2704.
   Google Scholar
• Kim, Y., Band, L., and Song, C., 2013. The influence of forest regrowth on the stream discharge in the north Carolina piedmont watersheds. JAWRA Journal of the American Water Resources Association, published online. doi:10.1111/jawr.12115.
   Web of Science ®Google Scholar
• Krause, P. and Boyle, D.P., 2005. Advances in geosciences comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 5, 89–97. doi:10.5194/adgeo-5-89-2005.
   Google Scholar
• Laronne, J.B., Alexandrov, Y., and Reid, I., 2004. Surface water characterization and utilization in the middle east, respectively exemplified by Nahal Eshtemoa (Wadi Samoa) & the Shiqma Besor (Wadi Gaza) reservoirs, Israel. In: H. Shuval and H. Dwiek, eds. Water for life in the Middle East, Vol. 2. Jerusalem: Israel/Palestine center for research and information, 680–692.
   Google Scholar
• Levick, L., et al., 2004. Adding global soils data to the Automated Geospatial Watershed Assessment Tool (AGWA). The 2nd International Symposium on Transboundary Waters Management, Tucson - Arizona [Online]. Available from: http://www.tucson.ars.ag.gov/agwa/docs/pubs/sahra-global_soils.pdf [Accessed August 2013].
   Google Scholar
• McCuen, R., 2004. Hydrology analysis and design. 4th ed. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Memarian, H., et al., 2014. SWAT-based hydrological modelling of tropical land use scenarios. Hydrological Sciences Journal, Published online: 10 Feb 2014. doi:10.1080/02626667.2014.892598.
   Web of Science ®Google Scholar
• Meteorological Service database, 2013. Archived data [Online]. Available from http://www.ims.gov.il/ims [Accessed August 2013].
   Google Scholar
• MoA (Ministry of Agriculture), 2013. Archived data. Gaza–Palestine: (MoA).
   Google Scholar
• MoP (Ministry of Planning), 2007. Archived data. Gaza–Palestine: (MoP).
   Google Scholar
• Moriasi, D.N., et al., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. T.ASABE, 50 (3), 885–900. doi:10.13031/2013.23153.
   Web of Science ®Google Scholar
• Neitsch, S., et al., 2011. The soil and water assessment tool theoretical documentation version 2009, technical report. Texas water resources institute, No. 406 [Online]. Available from: http://twri.tamu.edu/reports/2011/tr406.pdf [Accessed August 2013].
   Google Scholar
• Niraula, R., et al., 2012. Multi-gauge calibration for modelling the semi-arid Santa Cruz watershed in Arizona-Mexico border area using SWAT. Air, Soil and Water Research, 5, 41–57. doi:10.4137/ASWR.S9410.
   Google Scholar
• NRCCA (Northeast Region Certified Crop Adviser), Cornell University–New York–US, 2013. Soil hydrology [Online]. Available from: http://nrcca.cals.cornell.edu/soil/CA2/CA0212.1-3.php [Accessed August 2013].
   Google Scholar
• PCBS (Palestinian Central Bureau of Statistics), 2006. Palestinians at the end of year 2006, Ramallah–Palestine [Online]. Available from: http://www.pcbs.gov.ps [Accessed August 2013].
   Google Scholar
• Potchter, O. and Ben-Shalom, H., 2013. Urban warming and global warming: combined effect on thermal discomfort in the desert city of Beer Sheva, Israel. Journal of Arid Environments, 98, 113–122. doi:10.1016/j.jaridenv.2013.08.006.
   Web of Science ®Google Scholar
• PWA (Palestinian Water Authority), 2013. Archived data. Gaza–Palestine: PWA.
   Google Scholar
• Quessar, M., et al., 2009. Modeling water-harvesting systems in the arid south of Tunisia using SWAT. Hydrology and Earth System Sciences, 13, 2003–2021. doi:10.5194/hess-13-2003-2009.
   Web of Science ®Google Scholar
• Rahman, M., et al., 2013. An integrated study of spatial multicriteria analysis and mathematical modelling for managed aquifer recharge site suitability mapping and site ranking at Northern Gaza coastal aquifer. Journal of Environmental Management, 124, 25–39. doi:10.1016/j.jenvman.2013.03.023.
   PubMed Web of Science ®Google Scholar
• Rozos, E. and Makropoulos, C., 2012. Assessing the combined benefits of water recycling technologies by modelling the total urban water cycle. Urban Water Journal, 9 (1), 1–10. doi:10.1080/1573062X.2011.630096.
   Web of Science ®Google Scholar
• Santhi, C., et al., 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resources Association, 37 (5), 1169–1188. doi:10.1111/j.1752-1688.2001.tb03630.x.
   Web of Science ®Google Scholar
• Shadeed, S. and Almasri, M., 2010. Application of GIS-based SCS-CN method in West Bank catchments, Palestine. Water Science and Engineering, 3 (1), 1–13.
   Google Scholar
• Singh, A., et al., 2014. Assessing the performance and uncertainty analysis of the SWAT and RBNN models for simulation of sediment yield in the Nagwa watershed, India. Hydrological Sciences Journal, 59 (2), 351–364. doi:10.1080/02626667.2013.872787.
   Web of Science ®Google Scholar
• Spruill, C., Workman, R., and Taraba, J., 2000. Simulation of daily and monthly stream discharge from small watersheds using SWAT model. American Society of Agricultural Engineers, 43 (6), 1431–1439. doi:10.13031/2013.3041.
   Google Scholar
• SWAT (Soil and Water Assessment Tool), 2013. Model website [Online]. Available from: http://swat.tamu.edu/ [Accessed August 2013].
   Google Scholar
• Tang, F.F., Xu, H.S., and Xu, Z.X., 2012. Model calibration and uncertainty analysis for runoff in the Chao River Basin using sequential uncertainty fitting. Procedia Environmental Sciences, 13, 1760–1770. doi:10.1016/j.proenv.2012.01.170.
   Google Scholar
• USGS (US Geological Survey), 2012 EarthExplorer [Online]. Available from: http://earthexplorer.usgs.gov [Accessed March 2012].
   Google Scholar
• Valdivieso, F. and Sendra, J., 2013. Semi-distributed hydrological model with scarce information: an application to a large south-American binational basin. Journal of Hydrologic Engineering, published online. doi:10.1061/(ASCE)HE.1943-5584.0000853.
   Web of Science ®Google Scholar
• Wang, R., et al., 2013. Individual and combined effects of land use/cover and climate change on Wolf Bay watershed streamflow in southern Alabama. Hydrological Processes, published online. doi:10.1002/hyp.10057.
   Web of Science ®Google Scholar
• Water Authorities, Israel (WAI). 2013. Hydrological annual reports. [Online] [Accessed August 2013]. Available from http://www.water.gov.il/hebrew/Pages/home.aspx
   Google Scholar
• White, K. and Chaubey, I., 2005. Sensitivity analysis, calibration and validations for a multisite and multivariable SWAT model. Journal of the American Water Resources Association, 41 (5), 1077–1089. doi:10.1111/j.1752-1688.2005.tb03786.x.
   Web of Science ®Google Scholar
• Wu, Y. and Liu, S., 2013. Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions. Science of the Total Environment, 466/467, 455–466. doi:10.1016/j.scitotenv.2013.07.048.
   Web of Science ®Google Scholar
• Yang, J., et al., 2008. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. Journal of Hydrology, 358 (1–2), 1–23. doi:10.1016/j.jhydrol.2008.05.012.
   Web of Science ®Google Scholar
• Zhang, Y., 2005. Development of study on model-SWAT and its application. Progress in Geography, 24 (5), 121–130.
   Google Scholar