Open Access
Issue
E3S Web Conf.
Volume 167, 2020
2020 11th International Conference on Environmental Science and Development (ICESD 2020)
Article Number 02002
Number of page(s) 7
Section Water Resources
DOI https://doi.org/10.1051/e3sconf/202016702002
Published online 24 April 2020
  1. Ministry of Water Resources and Irrigation, Egypt (MWRIE). Water Scarcity in Egypt. report 1-5., (2014). http://www.mfa.gov.eg/SiteCollectionDocuments/Egypt%20Water%20Resources%20Paper_2014.pdf. [Google Scholar]
  2. Mohamed, E. S., Belal, A. A., & Abu-hashim, M.. Quantitative assessment of surface runoff at arid region: a case study in the Middle of Nile Delta. Bulletin of the National Research Centre, 43(1), 186 (2019). [CrossRef] [Google Scholar]
  3. Mohamed, E. S., Saleh, A. M., & Belal, A. A.. Sustainability indicators for agricultural land use based on GIS spatial modeling in North of SinaiEgypt. The Egyptian Journal of Remote Sensing and Space Science, 17(1), 1-15 (2014). [CrossRef] [Google Scholar]
  4. Mohamed, E. S., Belal, A., & Saleh, A.. Assessment of land degradation east of the Nile Delta, Egypt using remote sensing and GIS techniques. Arabian Journal of Geosciences, 6(8), 2843-2853 (2013). [CrossRef] [Google Scholar]
  5. Abd-Elmabod, S. K., Mansour, H., Hussein, A. A. E. F., Mohamed, E. S., Zhang, Z., Anaya-Romero, M., ... & Jordán, A.. Iinfluence of irrigation water quantity on the land capability classification. Plant Archives, 19(2), 2253-2261 (2019). [Google Scholar]
  6. Mohamed, E. S.. Spatial assessment of desertification in north Sinai using modified MEDLAUS model. Arabian Journal of Geosciences, 6(12), 4647-4659, (2013). [CrossRef] [Google Scholar]
  7. Hammam, A. A., & Mohamed, E. S.. Mapping soil salinity in the East Nile Delta using several methodological approaches of salinity assessment. The Egyptian Journal of Remote Sensing and Space Science, (2018). [Google Scholar]
  8. Muñoz ‐Rojas, M., Jordán, A., Zavala, L. M., De la Rosa, D., Abd‐Elmabod, S. K., & Anaya‐Romero, M.. Impact of land use and land cover changes on organic carbon stocks in Mediterranean soils (1956–2007). Land Degradation & Development, 26(2), 168-179, (2015). [Google Scholar]
  9. Mohamed, E. S., Schütt, B., & Belal, A. Assessment of environmental hazards in the north western coastEgypt using RS and GIS. The Egyptian Journal of Remote Sensing and Space Science, 16(2), 219-229, (2013). [CrossRef] [Google Scholar]
  10. Michel, Claude, Vazken Andréassian, and Charles Perrin. “Soil conservation service curve number method: How to mend a wrong soil moisture accounting procedure?.” Water Resources Research 41, no. 2 (2005). [CrossRef] [PubMed] [Google Scholar]
  11. Morgan, R. P. C. “A simple approach to soil loss prediction: a revised Morgan–Morgan–Finney model.” Catena 44, no. 4 (2001): 305-322 Dunne T. and L. B. Leopold, 1978. Water in Environmental Planning, W. H. Freeman Co., San Francisco, 818 pp. [Google Scholar]
  12. Hawkins, Richard H. “Asymptotic determination of runoff curve numbers from data.” Journal of Irrigation and Drainage Engineering 119, no. 2 (1993): 334-345. [CrossRef] [Google Scholar]
  13. Elhakeem, Mohamed, and Athanasios N. Papanicolaou. “Estimation of the runoff curve number via direct rainfall simulator measurements in the state of Iowa, USA.” Water Resources Management 23, no. 12 (2009): 2455-2473. [CrossRef] [Google Scholar]
  14. Mishra, Surendra Kumar, and Vijay P. Singh. “Another look at SCS-CN method.” Journal of Hydrologic Engineering 4, no. 3 (1999): 257-264. [Google Scholar]
  15. Hendawy, Ehab, A. A. Belal, E. S. Mohamed, Abdelaziz Elfadaly, Beniamino Murgante, Ali A. Aldosari, and Rosa Lasaponara. “The prediction and assessment of the impacts of soil sealing on agricultural land in the North Nile Delta (Egypt) using satellite data and GIS modeling.” Sustainability 11, no. 17 (2019): 46-62. [Google Scholar]
  16. Mohamed, E. S., Abu-hashim, M., AbdelRahman, M. A., Schütt, B., & Lasaponara, R. Evaluating the effects of human activity over the last decades on the soil organic carbon pool using satellite imagery and GIS techniques in the Nile Delta Area, Egypt. Sustainability, 11(9), (2019); 26-44. [Google Scholar]
  17. Abu-Hashim, Mohamed, Elsayed Mohamed, and Abd-ElAziz Belal. “Identification of potential soil water retention using hydric numerical model at arid regions by land-use changes.” International Soil and Water Conservation Research 3, no. 4 (2015): 305-315. [CrossRef] [Google Scholar]
  18. Soulis, K. X., J. D. Valiantzas, N. Dercas, and P. A. Londra. “Analysis of the runoff generation mechanism for the investigation of the SCS-CN method applicability to a partial area experimental watershed.” Hydrology & Earth System Sciences Discussions 6, no. 1 (2009). [CrossRef] [Google Scholar]
  19. Latha M., M. Rajendran, A. Murugappan. Comparison of GIS based SCS-CN and Strange table Method of Rainfall-Runoff Models for Veeranam Tank, Tamil Nadu, India. International Journal of Scientific & Engineering Research, Volume 3, Issue 10, October 2012;1 ISSN 2229-5518 [Google Scholar]
  20. Mantey S. and Naa Dedei Tagoe. Spatial Modelling of Soil Conservation Service Curve Number Grid and Potential Maximum Soil Water Retention to Delineate Flood Prone Areas: A Case Study. Research Journal of Environmental and Earth Sciences 5(8): 449-456, (2013). [CrossRef] [Google Scholar]
  21. Klute, A.. Water retention: Laboratory methods. In: Klute, A. (Ed). Methods of soil analysis. Part 1. 2nd edition. Agronomy Monograph 9, pp 635-662. ASA and SSSA, Madison, WI.. Physics and Chemistry of the Earth, 28, 1377-1387, (1986). [Google Scholar]
  22. Abu-Hashim, Mohamed, Elsayed Mohamed, and Abd-ElAziz Belal. “Identification of potential soil water retention using hydric numerical model at arid regions by land-use changes.” International Soil and Water Conservation Research 3, no. 4 (2015): 305-315. [CrossRef] [Google Scholar]
  23. Elbeih S. F. and El-Zeiny A. M.. Qualitative assessment of groundwater quality based on land use spectral retrieved indices: Case study Sohag Governorate, Egypt. Remote Sensing Applications: Society and Environment; 10: (2018);82-92. https://doi.org/10.1016/j.rsase.2018.03.001 [CrossRef] [Google Scholar]
  24. El-Zeiny, Ahmed M., and Hala A. Effat. “Environmental analysis of soil characteristics in ElFayoum Governorate using geomatics approach.” Environmental monitoring and assessment 191, no. 7 (2019): 463 [CrossRef] [PubMed] [Google Scholar]
  25. El-Alfy, Muhammad A., Amany F. Hasballah, Hazem T. Abd El-Hamid, and Ahmed M. El-Zeiny. “Toxicity assessment of heavy metals and organochlorine pesticides in freshwater and marine environments, Rosetta area, Egypt using multiple approaches.” Sustainable Environment Research 29, no. 1 (2019): 19. [CrossRef] [Google Scholar]
  26. El-Zeiny, Ahmed M., Sameh B. El Kafrawy, and Mahmoud H. Ahmed. “Geomatics based approach for assessing Qaroun Lake pollution.” The Egyptian Journal of Remote Sensing and Space Science (2019). [Google Scholar]
  27. El-Zeiny, Ahmed M., and Salwa F. Elbeih. “GISBased Evaluation of Groundwater Quality and Suitability in Dakhla Oases, Egypt.” Earth Systems and Environment 3, no. 3 (2019): 507-523. [CrossRef] [Google Scholar]
  28. Mohamed, E.S.; Saleh, A.M.; Belal, A.B.; Gad, A. Application of near-infrared reflectance for quantitative assessment of soil properties. The Egyptian Journal of Remote Sensing and Space Science, 2018, 21(1), pp.1-14. [CrossRef] [Google Scholar]
  29. Burrough and McDonnell, 1998 P.A. Burrough, R.A. McDonnellCreating continuous surfaces from point data P.A. Burrough, M.F. Goodchild, R.A. McDonnell, P. Switzer, M. Worboys (Eds.), Principles of Geographic Information Systems, Oxford University Press, Oxford, UK (1998). [Google Scholar]
  30. Abdel Rahman, Mohamed AE, A. Shalaby, and E. S. Mohamed. “Comparison of two soil quality indices using two methods based on geographic information system.” The Egyptian Journal of Remote Sensing and Space Science 22, no. 2 (2019): 127-136. [CrossRef] [Google Scholar]
  31. Mohamed, E. S., Abdelraouf Ali, Mohammed ElShirbeny, Khaled Abutaleb, and Sameh M. Shaddad. “Mapping soil moisture and their correlation with crop pattern using remotely sensed data in arid region.” The Egyptian Journal of Remote Sensing and Space Science (2019). [Google Scholar]
  32. El Nahry, A. H., and E. S. Mohamed. “Potentiality of land and water resources in African Sahara: a case study of south Egypt.” Environmental Earth Sciences 63, no. 6 (2011): 1263-1275. [Google Scholar]
  33. El-Magd, Islam Abou, and Ahmed El-Zeiny. “Quantitative hyperspectral analysis for characterization of the coastal water from Damietta to Port Said, Egypt.” The Egyptian Journal of Remote Sensing and Space Science 17, no. 1 (2014): 61-76. [CrossRef] [Google Scholar]
  34. Amato, Filippo, Josef Havel, Abd-Alla Gad, and Ahmed Mohamed El-Zeiny. “Remotely sensed soil data analysis using artificial neural networks: a case study of El-Fayoum depression, Egypt.” ISPRS International Journal of Geo-Information 4, no. 2 (2015): 677-696. [Google Scholar]
  35. El-Zeiny, Ahmed, and Sameh El-Kafrawy. “Assessment of water pollution induced by human activities in Burullus Lake using Landsat 8 operational land imager and GIS.” The Egyptian journal of remote sensing and space science 20 (2017): S49-S56. [CrossRef] [Google Scholar]
  36. El-Zeiny, Ahmed, Asmaa El-Hefni, and Mohamed Sowilem. “Geospatial techniques for environmental modeling of mosquito breeding habitats at Suez Canal Zone, Egypt.” The Egyptian Journal of Remote Sensing and Space Science 20, no. 2 (2017): 283-293. [CrossRef] [Google Scholar]
  37. El-Zeiny, Ahmed M., and Hala A. Effat. “Environmental monitoring of spatiotemporal change in land use/land cover and its impact on land surface temperature in El-Fayoum governorate, Egypt.” Remote sensing applications: society and environment 8 (2017): 266-277. [CrossRef] [Google Scholar]
  38. El-Shirbeny, Mohammed A., E. S. Mohamed, and Abdelazim Negm. “Estimation of Crops Water Consumptions Using Remote Sensing with Case Studies from Egypt.” In Conventional Water Resources and Agriculture in Egypt, pp. 451-469. Springer, Cham, 2018. [CrossRef] [Google Scholar]

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