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Soil erosion vulnerability and soil loss estimation for Siran River watershed, Pakistan: an integrated GIS and remote sensing approach.
Mehwish, Mehwish; Nasir, Muhammad Jamal; Raziq, Abdur; Al-Quraishi, Ayad M Fadhil; Ghaib, Fadhil Ali.
Afiliación
  • Mehwish M; Department of Geography, University of Peshawar, Peshawar, Pakistan.
  • Nasir MJ; Department of Geography, University of Peshawar, Peshawar, Pakistan.
  • Raziq A; Department of Geography, Islamia College Peshawar, Peshawar, Pakistan.
  • Al-Quraishi AMF; Petroleum and Mining Engineering Department, Tishk International University, Erbil, 44001, Kurdistan Region, Iraq. ayad.alquraishi@tiu.edu.iq.
  • Ghaib FA; Petroleum and Mining Engineering Department, Tishk International University, Erbil, 44001, Kurdistan Region, Iraq.
Environ Monit Assess ; 196(1): 104, 2023 Dec 30.
Article en En | MEDLINE | ID: mdl-38158498
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suelo / Ríos País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suelo / Ríos País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Países Bajos