Spatial assessment of soil erosion risk using RUSLE and GIS techniques

被引:0
|
作者
Yahya Farhan
Samer Nawaiseh
机构
[1] University of Jordan,Department of Geography
[2] Yarmouk University,Department of Geography
来源
关键词
Jordan; Wadi Kerak; Erodibility; Erosivity; Terrain units; Land use change; Landsat ETM;
D O I
暂无
中图分类号
学科分类号
摘要
Soil erosion by water is considered a major cause for land degradation in Jordan, where 0.14 cm of productive top soil is eroded annually. This investigation is intended to estimate the annual soil loss in Wadi Kerak watershed, and to examine the spatial patterns of soil loss and intensity, as an essential procedure for proper planning of conservation measures. To achieve these objectives, the revised universal soil loss equation (RUSLE) model has been applied in a geographical information system framework. After computing the RUSLE parameters (R, K, LS, C and P) soil erosion risk and intensity maps were generated, then integrated with physical factors (terrain units, elevation, slope, and land uses/cover) to explore the influence of these factors on the spatial patterns of soil erosion loss. The estimated potential annual average soil loss is 64 ton ha−1year−1, and the potential erosion rates from calculated class ranges from 0.0 to 790 ton ha−1year−1. Soil erosion risk assessment indicates that 54.5 % of the catchment is prone to high to extreme soil losses higher than 25 ton ha−1year−1. The lower and middle parts of the catchment suffer from high, severe, to extreme soil erosion. While 45.5 % of the basin still undergoes slight and moderate levels of soil loss of less than 25 ton ha−1year−1, yet 76.91 % of soil erosion occurred on four different terrain units, and 72.29 % of soil erosion occurred in zones less than 600 m in elevation, with 88 % present on areas of 0°–6°, 5°–15°, and 15°–25° slope categories. 32.6, 30.3, and 33.1 % of soil erosion occurred on rainfed mixed farming and irrigated areas, barren, and rangeland, respectively. The present results provide a vital database necessary to control soil erosion in order to ensure sustainable agriculture in the highland region of Jordan.
引用
收藏
页码:4649 / 4669
页数:20
相关论文
共 50 条
  • [21] ASSESSMENT OF SOIL EROSION POTENTIAL USING RUSLE AND GIS: A CASE STUDY OF BOSNIA AND HERZEGOVINA
    Tosic, Radislav
    Kapovic, Marijana
    Lovric, Novica
    Dragicevic, Slavoljub
    FRESENIUS ENVIRONMENTAL BULLETIN, 2013, 22 (11A): : 3415 - 3423
  • [22] Soil erosion evolution and spatial correlation analysis in a typical karst geomorphology using RUSLE with GIS
    Zeng, Cheng
    Wang, Shijie
    Bai, Xiaoyong
    Li, Yangbing
    Tian, Yichao
    Li, Yue
    Wu, Luhua
    Luo, Guangjie
    SOLID EARTH, 2017, 8 (04) : 721 - 736
  • [23] Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland
    Rasanen, Timo A.
    Tahtikarhu, Mika
    Uusi-Kamppa, Jaana
    Piirainen, Sirpa
    Turtola, Eila
    GEODERMA REGIONAL, 2023, 32
  • [24] Using GIS-Based RUSLE Model in Erosion Risk Assessment in Tekirdag Province
    Ozsahin, E.
    JOURNAL OF TEKIRDAG AGRICULTURE FACULTY-TEKIRDAG ZIRAAT FAKULTESI DERGISI, 2014, 11 (03): : 45 - 56
  • [25] Spatial assessment of soil erosion rate using remote sensing and GIS techniques in Mediterranean Watershed
    El Harche, Sanae
    Chikhaoui, Mohamd
    Mustapha, Naimi
    2023 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, MIGARS, 2023, : 190 - 193
  • [26] Assessment of Changes in Soil Erosion Risk Using RUSLE in Navrood Watershed, Iran
    Asadi, H.
    Honarmand, M.
    Vazifedoust, M.
    Mousavi, A.
    JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY, 2017, 19 (01): : 231 - 244
  • [27] Assessment of Morphology and Soil Erosion Risk in Agrarian Watershed of Jharkhand India Using RUSLE, GIS and MCDA-AHP
    Pandey, Soumya
    Kumari, Neeta
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2024,
  • [28] RUSLE2 Model Application for Soil Erosion Assessment Using Remote Sensing and GIS
    Jasmin Ismail
    S. Ravichandran
    Water Resources Management, 2008, 22 : 83 - 102
  • [29] RUSLE2 model application for soil erosion assessment using remote sensing and GIS
    Ismail, Jasmin
    Ravichandran, S.
    WATER RESOURCES MANAGEMENT, 2008, 22 (01) : 83 - 102
  • [30] Assessment of soil erosion and sediment yield in the Peddavagu watershed, India, using a revised universal soil loss equation model (RUSLE) and GIS techniques
    Shekar, Padala Raja
    Mathew, Aneesh
    JOURNAL OF WATER AND CLIMATE CHANGE, 2024, 15 (07) : 3138 - 3157