Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan

Empirically based lumped hydrologic models have an extensive track record of use for various watershed managements and flood related studies. This study focuses on the impacts of land use land cover change for a 10 year period (2000–2010) on the stream discharge in a sub-watershed of Indus River usi...

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Main Authors: Syed Muhammad Zubair Younis, Ahmad Ammar
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982317300182
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spelling doaj-4d73612587074ca9b1ad97b39e0d8b832020-11-24T22:20:03ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232018-12-01213255263Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, PakistanSyed Muhammad Zubair Younis0Ahmad Ammar1Corresponding author at: Institute of Geographical Information Systems, School of Civil and Environmental Engineering, National University of Sciences and Technology, H-12 Sector, Islamabad, Pakistan.; Institute of Geographical Information Systems, School of Civil and Environmental Engineering, National University of Sciences and Technology, Islamabad, PakistanInstitute of Geographical Information Systems, School of Civil and Environmental Engineering, National University of Sciences and Technology, Islamabad, PakistanEmpirically based lumped hydrologic models have an extensive track record of use for various watershed managements and flood related studies. This study focuses on the impacts of land use land cover change for a 10 year period (2000–2010) on the stream discharge in a sub-watershed of Indus River using lumped model HEC-HMS. The input variables for model building in HEC-HMS were calculated based on the DEM, LULC, soil and precipitation data which was collected and pre-processed in HEC-GeoHMS. The model was calibrated for the year 2000 and validation was done for 2010. The statistics shows correlation coefficient = 0.96, relative Bias = −9% and Nash-Sutcliffe coefficient of efficiency (NSCE) = 0.87. The validation statistics are Correlation Coefficient = 0.95, Bias = −14% and NSCE = 0.91. The model results shows that LULC change analysis using Landsat images in 10 years the overall concussion of change on discharge has been negligible in the study area. Due to decrease in forest the percent of bare soil and built up area increases. This conclusion was further supported by the LULC change analysis conducted on a local scale metropolitan district of Mansehra (16 km2). Soil and built up area in this sub-watershed increased from 69%, 8.2% in 2000 to 78%, 13.76% in 2010 respectively, whereas the corresponding river discharge increased by 33.61% from year 2000–2010, proving strong positive correlation on a local scale between the LULC and the river discharge. Keywords: HEC-HMS, Indus above Tarbela, LULC change, LandSat, TRMMhttp://www.sciencedirect.com/science/article/pii/S1110982317300182
collection DOAJ
language English
format Article
sources DOAJ
author Syed Muhammad Zubair Younis
Ahmad Ammar
spellingShingle Syed Muhammad Zubair Younis
Ahmad Ammar
Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan
Egyptian Journal of Remote Sensing and Space Sciences
author_facet Syed Muhammad Zubair Younis
Ahmad Ammar
author_sort Syed Muhammad Zubair Younis
title Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan
title_short Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan
title_full Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan
title_fullStr Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan
title_full_unstemmed Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan
title_sort quantification of impact of changes in land use-land cover on hydrology in the upper indus basin, pakistan
publisher Elsevier
series Egyptian Journal of Remote Sensing and Space Sciences
issn 1110-9823
publishDate 2018-12-01
description Empirically based lumped hydrologic models have an extensive track record of use for various watershed managements and flood related studies. This study focuses on the impacts of land use land cover change for a 10 year period (2000–2010) on the stream discharge in a sub-watershed of Indus River using lumped model HEC-HMS. The input variables for model building in HEC-HMS were calculated based on the DEM, LULC, soil and precipitation data which was collected and pre-processed in HEC-GeoHMS. The model was calibrated for the year 2000 and validation was done for 2010. The statistics shows correlation coefficient = 0.96, relative Bias = −9% and Nash-Sutcliffe coefficient of efficiency (NSCE) = 0.87. The validation statistics are Correlation Coefficient = 0.95, Bias = −14% and NSCE = 0.91. The model results shows that LULC change analysis using Landsat images in 10 years the overall concussion of change on discharge has been negligible in the study area. Due to decrease in forest the percent of bare soil and built up area increases. This conclusion was further supported by the LULC change analysis conducted on a local scale metropolitan district of Mansehra (16 km2). Soil and built up area in this sub-watershed increased from 69%, 8.2% in 2000 to 78%, 13.76% in 2010 respectively, whereas the corresponding river discharge increased by 33.61% from year 2000–2010, proving strong positive correlation on a local scale between the LULC and the river discharge. Keywords: HEC-HMS, Indus above Tarbela, LULC change, LandSat, TRMM
url http://www.sciencedirect.com/science/article/pii/S1110982317300182
work_keys_str_mv AT syedmuhammadzubairyounis quantificationofimpactofchangesinlanduselandcoveronhydrologyintheupperindusbasinpakistan
AT ahmadammar quantificationofimpactofchangesinlanduselandcoveronhydrologyintheupperindusbasinpakistan
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