Modeling Eco-Hydrology Indicators for Water Resources Assessment in Eastern Sudan
AbstractThe aims of this study is concerned of modeling the combined eco-hydrological components and its spatial distribution effect and evaluate its impact on the potential water flow of selected catchment in eastern Sudan. Spatial variability of landcover types and magnitudes was assessed using landsat7 and sentinel 2 images for years 1996, 2011 and 2018, topographic and soil type factors were used to assess the potentiality for runoff at sub catchment level using Curve Number approach. Rainfall records, Curve Number map and one gauge readings for stream discharge were used to simulate the hydrograph using 10 years return period and assess volumetric flow at sub-catchment level. Land cover changes showed reduction in natural vegetation through the studied periods. Curve Number was reflect the catchment high potentiality for generating runoff. The hydrograph analysis was generated and the runoff peak by means of volume and time during the storm event was generated. This study demonstrates this approach that can be used in agricultural promising areas for water management and planning purposes.
Baldyga, T. J., Miller, S.N., Driese, K.L., Gichaba, C.M., 2008. Assessing land cover change in Kenya's Mau Forest region using remotely sensed data. African Journal of Ecology 46 (1), 46-54.
Base, F., Helmeschrot, J., Mullerschmied, H., Flugel, W.A., 2006. The impact of landuse changes on hydrologicaldynamic of the semi aridTsitsa catchment in south Africa. Proceedings of the 2nd Göttingen GIS and Remote Sensing Days 2006, 4th to 6thOctober, Göttingen, Germany.
Biro, K., Bradhan, B., Buchroithner, M., Makschin, F., 2011. Land Use/Land Cover Analysis and Its Impact on Soil Properties in the Northern Part of Gedarif Region, Sudan. Land Degradation and Development 24 (1), 90-102.
Bormann, H., Breuer, L., Graff, T., Huisman, J.A., 2007. Analyzing the effects of soil properties changes associated with land use changes on the simulated water balance: A comparison of three hydrological catchment models for scenario analysis. Ecological Modelling 209 (1), 29-40.
Brink, A.B., Eva, H.D., 2009. Monitoring 25 years of land cover changed dynamics in Africa: A sample based remote sensing approach. Applied Geography 29, 501–512.
Douville, H., Decharme, B., Alkama, R., 2013. Anthropogenic influence on multi-decadal changes in reconstructed global evapotranspiration. Nature Climate Change 3 (1), 1453.
Ellis, E.A., Baerenklau, K.A., Marcos-Martínez, R., Chávez, E., 2010. Land use/land cover change dynamics and drivers ina low-grade marginal coffee growing region of Veracruz, Mexico, Agroforestry Systems 80, 61-84.
FAO, 2012. The landcover atlas of Sudan. Available URL at: http://www.fao.org/3/a-be896e.pdf (31/10/2020).
Farley, K.A., Jobbágy E.G., Jackson, R.B., 2005. Effects of afforestation on water yield: A global synthesis with implications for policy. Global Change Biology 11 (10), 1565-1576.
Gao, Z., Zhang, Z., Zhang, X., 2009. Responses of water yield to changes in vegetation at a temporal scale. Frontiers of Forestry in China 4 (1), 53-59.
Gumindoga, W., Rientjes, T.H., Haile, A.T., Dube, T., 2014. Predicting streamflow for land cover changes in the Upper Gilgel Abay River Basin, Ethiopia: a TOPMODEL based approach. Physics Chemistry of the Earth, Parts A/B/C 76-78, 3-15.
Hamadi, J.T., Eshtawi, T.A., Abushaban, A.M., Habboub, M.O., 2012. Modeling the impact of land-use change on water budget of Gaza Strip. Journal of Water Resource and Protection 4 (6), 325-333.
Hassaballah, K., Mohamed, Y., Uhlenbrook, S., Biro, K., 2017. Analysis of streamflow response to land use and land cover changes using satellite data and hydrological. Hydrology and Earth System Sciences 21 (10), 5217-5242.
HCENR, 2009. The Higher Council for Environment and Natural Resources, Government of the Republic of Sudan, Ministry of Environment and Physical Development. Sudan Fourth National Report to the Convention on Biological Diversity, Khartoum, Sudan.
Jing, J., Guangjin, T., 2011. Analysis of the impact of land use/land cover change on land surface temperature with remote sensing. Procedia Environmental Sciences 2, 571-575.
Lotfie, A., Abdelrahman, A., Faisal, M., Ahmed, M., Hussain, S., Abdelhadi, A., Yasunori, K., Imad-eldin, A., 2018. Rainfall variability and its implications for agricultural production in Gedarif State, Eastern Sudan. African Journal of Agricultural Research 13 (31), 1577-1590.
Maidment, D.R., 1993. Hand book of hydrology MC Graw-Hill, Newyork. Rodriguez-Iturbe, I., 2000. Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamics. Water Resources Research 36 (1), 3-9.
SCS, 1972. Soil Conservation Services. National Engineering Handbook, Section 4: Hydrology.
Yao, M.K., Angui, P.T., Konaté, S., Tondoh, J.E., Tano, Y., Abbadie, L., Benest, D., 2010. Effects of land use types on soil organic carbon and nitrogen dynamics in midwest Côte d’Ivoire. European Journal of Scientific Research 40, 211-222.
Zhange, Z., Chong, Y.X., El-Tahir, M., Jianrong, C., Singh, V.P., 2011. Spatial and temporal variation of precipitation in Sudan and their possible causes during 1948-2005. Stochastic Environmental Research and Risk Assessment 26 (3), 429-441.
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