Assessment of soil erosion hazard and its relation to land use land cover changes: Case study from alage watershed, central Rift Valley of Ethiopia

被引:7
|
作者
Taye, Gebeyehu [1 ,3 ,4 ]
Teklesilassie, Tesfaye [2 ,3 ,4 ]
Teka, Daniel [1 ,3 ,4 ]
Kassa, Henok [5 ,6 ]
机构
[1] Mekelle Univ, Dept Land Resource Management & Environm Protect, POB 231, Mekelle, Ethiopia
[2] Dilla Univ, Dept Nat Resource Management, POB 419, Dilla, Ethiopia
[3] Mekelle Univ, Inst Geoinformat, POB 231, Mekelle, Ethiopia
[4] Mekelle Univ, Earth Observat Sci, POB 231, Mekelle, Ethiopia
[5] Mizan Tepi Univ, Dept Nat Resources Management, POB 260, Mizan Tepi, Ethiopia
[6] Univ Wroclaw, Dept Ecol, Biogeochem & Environm Protect, Wroclaw, Poland
关键词
Soil loss; Land use land cover change; Revised universal soil loss equation; Rift Valley; Ethiopia; CONSERVATION STRUCTURES; RAINFALL EROSIVITY; RUSLE MODEL; NILE BASIN; GIS; MANAGEMENT; IMPACT; HIGHLANDS; RUNOFF; DEFORESTATION;
D O I
10.1016/j.heliyon.2023.e18648
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Soil erosion by water and wind is among the most crucial land degradation processes in Ethiopia. This is also the case for Alage watershed located in the cental Rift Valley system. This study aimed at assessment of soil erosion hazard and its relation to land use land cover change in the watershed during the period from 1984 to 2016 for a better land management. The study is based on application of Remote Sensing (RS) and Geographical Information System (GIS) to extract inputs factor values for the Revised Universal Soil Loss Equation (RUSLE). Time-series satellite imageries of Landsat TM 1984, ETM+ 2000 and OLI 2016 were used for land use land cover change detection and determination of cover management (C) factor of the RUSLE. Biophysical data such as rainfall, soil properties, land management practices including soil and water conservation measures within the watershed were collected using field survey and secondary data sources. Slope steepness and slope length factors were derived using Digital Elevaition Model (DEM). Long-term average annual soil loss rates were estimated by the RUSLE integrated with GIS for 1984, 2000 and 2016. Using satellite imageries, the land use land cover and changes within the watershed during the three periods were obtained through a supervised classification with maximum likelihood algorithim. The results of land use land cover change indicated that the proportion of rain-fed cropland, bare land and built up areas increased by 17.4%, 5.9% and 2.9% respectively over the three study period. In contrast the proportion of bush/shrub land, irrigated cropland, grass land, forested areas and waterbodies decresaed by 15.5%, 4.7%, 3.4%, 2.3% and 0.3% respectively during the same period. Estimated average annual soil loss rates showed an increasing trend from 24.3 ton ha-1 yr- 1 in 1984 to 38 ton ha-1 yr- 1 in 2016. Increasing trends of average annual soil loss rate is attributed to increased proportion of cropland, bare land and built up areas during those periods leading to decreased protective vegetation cover. Hotspot areas within the watershed require implementation of land management practices to prevent further degradation and expansion of gullies. This study is relevant to demonstrate environmental implication of land use land cover change for future land management practices and land use policy in the Rift Valley of central Ethiopia.
引用
收藏
页数:14
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