Assessment of Soil Erosion Using the RUSLE Model for the Epworth District of the Harare Metropolitan Province, Zimbabwe

被引:42
作者
Marondedze, Andrew K. [1 ]
Schuett, Brigitta [1 ]
机构
[1] Free Univ Berlin, Inst Geog Sci, Phys Geog, Malteserstr 74-100, D-12449 Berlin, Germany
关键词
land use change; urbanization; LULC; RUSLE; WATER EROSION; LOSS EQUATION; LAND-USE; RIVER-BASIN; RAINFALL EROSIVITY; STEEPNESS FACTOR; CATCHMENT-AREA; INTEGRATED USE; SLOPE LENGTH; LS-FACTOR;
D O I
10.3390/su12208531
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban development without adequate soil erosion control measures is becoming a major environmental concern in developing urban areas across Africa. These environmental disturbances encompass rampart Land Use and Land Cover changes (LULC) due to a high population growth rate and increased economic activities. To understand the influence of accelerated LULC changes and urban expansion as major drivers in landscape degradation in the Epworth district of the Harare Metropolitan Province, the RUSLE model was employed. This considers land use, soil, climate and topography as input parameters in the assessment of the extent and impact of these drivers on soil erosion. The Revised Universal Soil Loss Equation (RUSLE) was used to predict the potential erosion between 1984 and 2018 and soil erosion risk for the years 2000 and 2018. The mean rate of the predicted potential soil erosion was 13.2 t ha(-1) yr(-1) (1984-2018); areas especially vulnerable to erosion were predicted for foot slope areas with direct tributaries to the major streams and steep sloping zones. The average soil erosion risk was estimated at 1.31 t ha(-1) yr(-1) for the year 2000 and 1.12 t ha(-1) yr(-1) for 2018. While the overall potential soil loss decreased between 2000 and 2018, the potential soil loss was observed to increase tremendously in residential areas, which doubled in extent between 2000 and 2018. The findings reveal that about 40% of the Epworth district was threatened by unsustainable soil loss resulting from increased soil erosion risk within the built-up areas.
引用
收藏
页码:1 / 24
页数:24
相关论文
共 133 条
  • [1] Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed
    Abdulkareem, J. H.
    Pradhan, B.
    Sulaiman, W. N. A.
    Jamil, N. R.
    [J]. GEOSCIENCE FRONTIERS, 2019, 10 (02) : 389 - 403
  • [2] Adornado H. A., 2009, Agricultural Information Research, V18, P24, DOI 10.3173/air.18.24
  • [3] African Development Bank, 2005, GEND POV ENV IND AFR
  • [4] Broad area mapping of monthly soil erosion risk using fuzzy decision tree approach: integration of multi-source data within GIS
    Ai, L.
    Fang, N. F.
    Zhang, B.
    Shi, Z. H.
    [J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2013, 27 (06) : 1251 - 1267
  • [5] Remote sensing and GIS to assess soil erosion with RUSLE3D and USPED at river basin scale in southern Italy
    Aiello, Antonello
    Adamo, Maria
    Canora, Filomena
    [J]. CATENA, 2015, 131 : 174 - 185
  • [6] Al-Abadi AMA, 2016, CARPATH J EARTH ENV, V11, P153
  • [7] Alaci D.S.A., 2019, THEOR EMPIR RES URBA, V5, P16
  • [8] Alena J., 2013, Soil Water Res, V1, P10, DOI DOI 10.17221/6500-SWR
  • [9] Using the USLE: Chances, challenges and limitations of soil erosion modelling
    Alewell, Christine
    Borrelli, Pasquale
    Meusburger, Katrin
    Panagos, Panos
    [J]. INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2019, 7 (03) : 203 - 225
  • [10] Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of "Yialias" in Cyprus
    Alexakis, Dimitrios D.
    Hadjimitsis, Diofantos G.
    Agapiou, Athos
    [J]. ATMOSPHERIC RESEARCH, 2013, 131 : 108 - 124