Assessment of Soil Erosion and Neotectonics Geomorphology of Bannu Basin using RS and GIS Techniques

Saira Batool; Syed Amer Mahmood; Zainab Tahir; Amer Masood; Jahanzeb Qureshi; Bushra Zia Khan

Authors

Saira Batool Centre For Integrtaed Mountain Research(CIMR) University of the Punjab Lahore Pakistan
Syed Amer Mahmood Department of Space Science University of the Punjab Lahore Pakistan
Zainab Tahir Centre For Integrtaed Mountain Research(CIMR) University of the Punjab Lahore Pakistan
Amer Masood Department of Space Science University of the Punjab Lahore Pakistan
Jahanzeb Qureshi Department of Space Science University of the Punjab Lahore Pakistan
Bushra Zia Khan Centre For Integrtaed Mountain Research(CIMR) University of the Punjab Lahore Pakistan

Keywords:

Soil Erosion, Geospatial Assessment, RUSLE, Hypsometric Integral, Drainage density, Transverse Topographic Asymmetry Factor

Abstract

Soil erosion poses a critical environmental challenge in Bannu District, with adverse effects on agricultural productivity and land sustainability. This research article presents a comprehensive approach to assess and mitigate soil erosion risk in the region by utilizing the Revised Universal Soil Loss Equation (RUSLE) model in conjunction with hypsometry. The study integrates various geospatial data sets, including mean annual rainfall, digital elevation models, soil maps, land use/land cover classification, and satellite imagery. These data are crucial for mapping five key factors of the RUSLE model: Rainfall Erosivity (R), Soil Erodibility (K), Slope Length And Steepness (LS), Land Cover Management (C), and Support Practice (P). By individually mapping and then integrating these factors, the study estimates soil erosion rates in Bannu District. The researchers divide soil erosion risk into five levels, from very low to excessive, for practical assessment. Sustainable land management and agriculture use this classification to identify areas requiring quick attention and intervention. The study article emphasizes combining Remote Sensing (RS) and Geographic Information System (GIS) with the RUSLE model. This combination allows policymakers and land managers to evaluate and reduce soil erosion at a broader scale. Hypsometry's involvement in topography and erosion dynamics is also examined. The RUSLE model explains Bannu District soil erosion trends by adding topographic elements using hypsometric analysis. This article's soil erosion risk assessment in Bannu District is scientifically sound and practical. The RUSLE model and GIS data with hypsometry help solve soil erosion and promote sustainable land use in the region. The findings help policymakers and stakeholders safeguard agricultural productivity and land sustainability in Bannu District.

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