Soil erosion vulnerability and soil loss estimation for Siran River watershed, Pakistan: an integrated GIS and remote sensing approach

被引:0
作者
Mehwish Mehwish
Muhammad Jamal Nasir
Abdur Raziq
Ayad M. Fadhil Al-Quraishi
Fadhil Ali Ghaib
机构
[1] University of Peshawar,Department of Geography
[2] Islamia College Peshawar,Department of Geography
[3] Tishk International University,Petroleum and Mining Engineering Department
来源
Environmental Monitoring and Assessment | 2024年 / 196卷
关键词
RUSLE model; Remote sensing; GIS; Soil erosion; Siran River; Pakistan;
D O I
暂无
中图分类号
学科分类号
摘要
Soil erosion is a problematic issue with detrimental effects on agriculture and water resources, particularly in countries like Pakistan that heavily rely on farming. The condition of major reservoirs, such as Tarbela, Mangla, and Warsak, is crucial for ensuring an adequate water supply for agriculture in Pakistan. The Kunhar and Siran rivers flow practically parallel, and the environment surrounding both rivers’ basins is nearly identical. The Kunhar River is one of KP’s dirtiest rivers that carries 0.1 million tons of suspended sediment to the Mangla reservoir. In contrast, the Siran River basin is largely unexplored. Therefore, this study focuses on the Siran River basin in the district of Manshera, Pakistan, aiming to assess annual soil loss and identify erosion-prone regions. Siran River average annual total soil loss million tons/year is 0.154. To achieve this, the researchers integrate Geographical Information System (GIS) and remote sensing (RS) data with the Revised Universal Soil Loss Equation (RUSLE) model. Five key variables, rainfall, land use land cover (LULC), slope, soil types, and crop management, were examined to estimate the soil loss. The findings indicate diverse soil loss causes, and the basin’s northern parts experience significant soil erosion. The study estimated that annual soil loss from the Siran River basin is 0.154 million tons with an average rate of 0.871 tons per hectare per year. RUSLE model combined with GIS/RS is an efficient technique for calculating soil loss and identifying erosion-prone areas. Stakeholders such as policymakers, farmers, and conservationists can utilize this information to target efforts and reduce soil loss in specific areas. Overall, the study’s results have the potential to advance initiatives aimed at safeguarding the Siran River watershed and its vital resources. Protecting soil resources and ensuring adequate water supplies are crucial for sustainable agriculture and economic development in Pakistan.
引用
收藏
相关论文
共 257 条
  • [1] Ahmad M(2007)Impact of trainings imparted to enhance agricultural production in district Mansehra Sarhad Journal of Agriculture 23 1211-121
  • [2] Jadoon MA(2009)Estimating rainfall erosivity from daily precipitation records: A comparison among methods using data from the Ebro Basin (NE Spain) Journal of Hydrology 379 111-1155
  • [3] Ahmad I(2018)Identification of erosion-prone areas using different multi-criteria decision-making techniques and GIS Geomatics, Natural Hazards and Risk 9 1129-77
  • [4] Khan H(2017)Modeling risk of soil erosion in high and medium rainfall zones of Pothwar Region, Pakistan: Assessment of soil erosion risk. Proceedings of the Pakistan Academy of Sciences: B Life and Environmental Sciences 54 67-1649
  • [5] Angulo-Martínez M(2021)Soil erosion susceptibility mapping using a GIS-based multi-criteria decision approach: Case of district Chitral, Pakistan Ain Shams Engineering Journal 12 1637-237
  • [6] Beguería S(2021)Subsurface geological model of sedimentary and metasedimentary wedge from Mansehra to Battal based on gravity data, Hazara area, Pakistan Energy Geoscience 2 229-606
  • [7] Arabameri A(2022)Modelling and mapping of soil erosion susceptibility using machine learning in a tropical hot sub-humid environment Journal of Cleaner Production 364 132428-13
  • [8] Pradhan B(2021)Appraisal of soil erosion through RUSLE model and hypsometry in Chakwal Watershed (Potwar-Pakistan) Sarhad Journal of Agriculture 37 594-429
  • [9] Pourghasemi HR(2015)Estimation of soil erosion using RUSLE and GIS techniques: A case study of Barakar River basin, Jharkhand, India Modeling Earth Systems and Environment 1 1-232
  • [10] Rezaei K(2011)Sediments deposition due to soil erosion in the watershed region of Mangla Dam Environmental Monitoring and Assessment 181 419-432