Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions

Water quality is highly affected by riverside vegetation in different regions. To comprehend this research, the study area was parted into wet and dry regions. The WASP8 was applied for the simulations of water quality profile over both Waterways selected from each region. It was found that the Ara...

Full description

Bibliographic Details
Main Authors: Muhammad Mazhar Iqbal, Lingling Li, Saddam Hussain, Jung Lyul Lee, Faisal Mumtaz, Ahmed Elbeltagi, Muhammad Sohail Waqas, Adil Dilawar
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/7/1058
_version_ 1797437492996079616
author Muhammad Mazhar Iqbal
Lingling Li
Saddam Hussain
Jung Lyul Lee
Faisal Mumtaz
Ahmed Elbeltagi
Muhammad Sohail Waqas
Adil Dilawar
author_facet Muhammad Mazhar Iqbal
Lingling Li
Saddam Hussain
Jung Lyul Lee
Faisal Mumtaz
Ahmed Elbeltagi
Muhammad Sohail Waqas
Adil Dilawar
author_sort Muhammad Mazhar Iqbal
collection DOAJ
description Water quality is highly affected by riverside vegetation in different regions. To comprehend this research, the study area was parted into wet and dry regions. The WASP8 was applied for the simulations of water quality profile over both Waterways selected from each region. It was found that the Ara Waterway, located in the wet regions, has a higher water quality variation in seasonal scale than that of the Yamuna Waterway, which is in the dry region. The interrelationship between river water quality variables and <i>NDVI</i> produce higher association for water quality variables with Pearson correlation coefficient values of about 0.66, 0.68 and −0.58, respectively, over the annual and seasonal scales in the energy limited regions. This approach will help in monitoring the seasonal variation and effect of the vegetation biomass on water quality for the sustainable water environment.
first_indexed 2024-03-09T11:20:08Z
format Article
id doaj.art-50acc39f16e0438493959c37fb858e0c
institution Directory Open Access Journal
issn 2073-4441
language English
last_indexed 2024-03-09T11:20:08Z
publishDate 2022-03-01
publisher MDPI AG
record_format Article
series Water
spelling doaj.art-50acc39f16e0438493959c37fb858e0c2023-12-01T00:19:24ZengMDPI AGWater2073-44412022-03-01147105810.3390/w14071058Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry RegionsMuhammad Mazhar Iqbal0Lingling Li1Saddam Hussain2Jung Lyul Lee3Faisal Mumtaz4Ahmed Elbeltagi5Muhammad Sohail Waqas6Adil Dilawar7Graduate School of Water Resources, Sungkyunkwan University 2066, Suwon 16419, KoreaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaDepartment of Irrigation and Drainage, University of Agriculture Faisalabad, Faisalabad 38000, PakistanGraduate School of Water Resources, Sungkyunkwan University 2066, Suwon 16419, KoreaState Key Laboratory of Remote Sensing Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaAgricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura 35516, EgyptSoil Conservation Wing, Punjab Agriculture Department, Murree Road, Rawalpindi 46300, PakistanUniversity of Chinese Academy of Sciences (UCAS), Beijing 100049, ChinaWater quality is highly affected by riverside vegetation in different regions. To comprehend this research, the study area was parted into wet and dry regions. The WASP8 was applied for the simulations of water quality profile over both Waterways selected from each region. It was found that the Ara Waterway, located in the wet regions, has a higher water quality variation in seasonal scale than that of the Yamuna Waterway, which is in the dry region. The interrelationship between river water quality variables and <i>NDVI</i> produce higher association for water quality variables with Pearson correlation coefficient values of about 0.66, 0.68 and −0.58, respectively, over the annual and seasonal scales in the energy limited regions. This approach will help in monitoring the seasonal variation and effect of the vegetation biomass on water quality for the sustainable water environment.https://www.mdpi.com/2073-4441/14/7/1058WASP8Ara WaterwayYamuna River<i>NDVI</i>anthropogenic activities
spellingShingle Muhammad Mazhar Iqbal
Lingling Li
Saddam Hussain
Jung Lyul Lee
Faisal Mumtaz
Ahmed Elbeltagi
Muhammad Sohail Waqas
Adil Dilawar
Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions
Water
WASP8
Ara Waterway
Yamuna River
<i>NDVI</i>
anthropogenic activities
title Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions
title_full Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions
title_fullStr Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions
title_full_unstemmed Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions
title_short Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions
title_sort analysis of seasonal variations in surface water quality over wet and dry regions
topic WASP8
Ara Waterway
Yamuna River
<i>NDVI</i>
anthropogenic activities
url https://www.mdpi.com/2073-4441/14/7/1058
work_keys_str_mv AT muhammadmazhariqbal analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions
AT linglingli analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions
AT saddamhussain analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions
AT junglyullee analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions
AT faisalmumtaz analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions
AT ahmedelbeltagi analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions
AT muhammadsohailwaqas analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions
AT adildilawar analysisofseasonalvariationsinsurfacewaterqualityoverwetanddryregions