Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing

An approach is proposed in the present study to estimate the soil erosion in data-scarce Kokcha subbasin in Afghanistan. The Revised Universal Soil Loss Equation (RUSLE) model is used to estimate soil erosion. The satellite-based data are used to obtain the RUSLE factors. The results show that the s...

Full description

Saved in:

Bibliographic Details
Main Author:	Safari, Ziauddin
Format:	Thesis
Language:	English
Published:	2021
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/102410/1/ZiauddinSafariMSKA2021.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.102410
record_format	uketd_dc
spelling	my-utm-ep.1024102023-08-29T06:21:33Z Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing 2021 Safari, Ziauddin TA Engineering (General). Civil engineering (General) An approach is proposed in the present study to estimate the soil erosion in data-scarce Kokcha subbasin in Afghanistan. The Revised Universal Soil Loss Equation (RUSLE) model is used to estimate soil erosion. The satellite-based data are used to obtain the RUSLE factors. The results show that the slight (71.34%) and moderate (25.46%) erosion are dominated in the basin. In contrast, the high erosion (0.01%) is insignificant in the study area. The highest amount of erosion is observed in Rangeland (52.2%) followed by rainfed agriculture (15.1%) and barren land (9.8%) while a little or no erosion is found in areas with fruit trees, forest and shrubs, and irrigated agriculture land. The highest soil erosion was observed in summer (June–August) due to snow melting from high mountains. The spatial distribution of soil erosion revealed higher risk in foothills and degraded lands. It is expected that the methodology presented in this study for estimation of spatial and seasonal variability soil erosion in a remote mountainous river basin can be replicated in other similar regions for management of soil, agriculture, and water resources. 2021 Thesis http://eprints.utm.my/id/eprint/102410/ http://eprints.utm.my/id/eprint/102410/1/ZiauddinSafariMSKA2021.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:145711 masters Universiti Teknologi Malaysia Faculty of Engineering - School of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Safari, Ziauddin Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing
description	An approach is proposed in the present study to estimate the soil erosion in data-scarce Kokcha subbasin in Afghanistan. The Revised Universal Soil Loss Equation (RUSLE) model is used to estimate soil erosion. The satellite-based data are used to obtain the RUSLE factors. The results show that the slight (71.34%) and moderate (25.46%) erosion are dominated in the basin. In contrast, the high erosion (0.01%) is insignificant in the study area. The highest amount of erosion is observed in Rangeland (52.2%) followed by rainfed agriculture (15.1%) and barren land (9.8%) while a little or no erosion is found in areas with fruit trees, forest and shrubs, and irrigated agriculture land. The highest soil erosion was observed in summer (June–August) due to snow melting from high mountains. The spatial distribution of soil erosion revealed higher risk in foothills and degraded lands. It is expected that the methodology presented in this study for estimation of spatial and seasonal variability soil erosion in a remote mountainous river basin can be replicated in other similar regions for management of soil, agriculture, and water resources.
format	Thesis
qualification_level	Master's degree
author	Safari, Ziauddin
author_facet	Safari, Ziauddin
author_sort	Safari, Ziauddin
title	Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing
title_short	Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing
title_full	Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing
title_fullStr	Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing
title_full_unstemmed	Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing
title_sort	estimation of spatial and seasonal variability of soil erosion in a cold arid river basin in hindu kush mountainous region using remote sensing
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Civil Engineering
publishDate	2021
url	http://eprints.utm.my/id/eprint/102410/1/ZiauddinSafariMSKA2021.pdf
_version_	1776100916583202816

Estimation of spatial and seasonal variability of soil erosion in a cold arid River Basin in Hindu Kush mountainous region using remote sensing

Similar Items