Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial region
Groundwater quality assessment and evaluation for irrigation is critical for decision-making and planning. This study introduces an integrated novel approach to how different soil types interact with groundwater and the dynamics of NDVI and urban development in varied climatic conditions. It assesse...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Environmental Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666765725000134 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850229519924854784 |
|---|---|
| author | Sher Muhammad Ghoto Dr. Habibullah Abbasi Sheeraz Ahmed Memon Khan Muhammad Brohi Rabia Chhachhar Asad Ali Ghanghlo Imran Aziz Tunio |
| author_facet | Sher Muhammad Ghoto Dr. Habibullah Abbasi Sheeraz Ahmed Memon Khan Muhammad Brohi Rabia Chhachhar Asad Ali Ghanghlo Imran Aziz Tunio |
| author_sort | Sher Muhammad Ghoto |
| collection | DOAJ |
| description | Groundwater quality assessment and evaluation for irrigation is critical for decision-making and planning. This study introduces an integrated novel approach to how different soil types interact with groundwater and the dynamics of NDVI and urban development in varied climatic conditions. It assesses the groundwater quality for irrigation purposes. It performs multivariate statistical analysis and geospatial methods to evaluate irrigation groundwater water quality. The parameters and variables were analyzed using correlation matrix analysis (CA) and principal component analysis (PCA). The normalized vegetation index (NDVI) and three-band urban index (3BUI) were calculated using the Landsat image to observe the spatial variation in vegetation cover and urban development, influencing groundwater quality within the region. Furthermore, a detailed analysis of each index for each sample showed insight into the data for irrigation water quality. According to the classified results, 43.75 % of samples fall in a good irrigation water quality index (IWQI) range with 35 samples. 28.75 % of samples fall in the suitable range with 23 samples. 21.25 % of the samples are very good, with 17 samples, and 3.75 % are unsuitable, with 3 out of 80. Only 2 % of the samples are in the excellent category, with 2 out of 80 samples. Moreover, the area experiences variations in groundwater quality due to different source interactions, such as geomorphological conditions and variations in soil, NDVI, urban, and climatic conditions. |
| format | Article |
| id | doaj-art-18ffab7acb3c4332a0be140195b2c685 |
| institution | OA Journals |
| issn | 2666-7657 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental Advances |
| spelling | doaj-art-18ffab7acb3c4332a0be140195b2c6852025-08-20T02:04:11ZengElsevierEnvironmental Advances2666-76572025-04-011910062110.1016/j.envadv.2025.100621Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial regionSher Muhammad Ghoto0Dr. Habibullah Abbasi1Sheeraz Ahmed Memon2Khan Muhammad Brohi3Rabia Chhachhar4Asad Ali Ghanghlo5Imran Aziz Tunio6Mehran University of Engineering & Technology, Jamshoro, Sindh, PakistanCentre for Environmental Sciences, University of Sindh Jamshoro, Sindh, Pakistan; Corresponding author.Mehran University of Engineering & Technology, Jamshoro, Sindh, PakistanHamdard University Karachi, PakistanCentre for Environmental Sciences, University of Sindh Jamshoro, Sindh, PakistanMehran University of Engineering & Technology, Jamshoro, Sindh, PakistanMehran University of Engineering & Technology, Jamshoro, Sindh, PakistanGroundwater quality assessment and evaluation for irrigation is critical for decision-making and planning. This study introduces an integrated novel approach to how different soil types interact with groundwater and the dynamics of NDVI and urban development in varied climatic conditions. It assesses the groundwater quality for irrigation purposes. It performs multivariate statistical analysis and geospatial methods to evaluate irrigation groundwater water quality. The parameters and variables were analyzed using correlation matrix analysis (CA) and principal component analysis (PCA). The normalized vegetation index (NDVI) and three-band urban index (3BUI) were calculated using the Landsat image to observe the spatial variation in vegetation cover and urban development, influencing groundwater quality within the region. Furthermore, a detailed analysis of each index for each sample showed insight into the data for irrigation water quality. According to the classified results, 43.75 % of samples fall in a good irrigation water quality index (IWQI) range with 35 samples. 28.75 % of samples fall in the suitable range with 23 samples. 21.25 % of the samples are very good, with 17 samples, and 3.75 % are unsuitable, with 3 out of 80. Only 2 % of the samples are in the excellent category, with 2 out of 80 samples. Moreover, the area experiences variations in groundwater quality due to different source interactions, such as geomorphological conditions and variations in soil, NDVI, urban, and climatic conditions.http://www.sciencedirect.com/science/article/pii/S2666765725000134IWQI(NDVI)(UI)Climatic Conditions |
| spellingShingle | Sher Muhammad Ghoto Dr. Habibullah Abbasi Sheeraz Ahmed Memon Khan Muhammad Brohi Rabia Chhachhar Asad Ali Ghanghlo Imran Aziz Tunio Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial region Environmental Advances IWQI (NDVI) (UI) Climatic Conditions |
| title | Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial region |
| title_full | Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial region |
| title_fullStr | Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial region |
| title_full_unstemmed | Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial region |
| title_short | Multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of NDVI and urban development in alluvial region |
| title_sort | multivariate hydrochemical assessment of groundwater quality for irrigation purposes and identifying soil interaction effects and dynamics of ndvi and urban development in alluvial region |
| topic | IWQI (NDVI) (UI) Climatic Conditions |
| url | http://www.sciencedirect.com/science/article/pii/S2666765725000134 |
| work_keys_str_mv | AT shermuhammadghoto multivariatehydrochemicalassessmentofgroundwaterqualityforirrigationpurposesandidentifyingsoilinteractioneffectsanddynamicsofndviandurbandevelopmentinalluvialregion AT drhabibullahabbasi multivariatehydrochemicalassessmentofgroundwaterqualityforirrigationpurposesandidentifyingsoilinteractioneffectsanddynamicsofndviandurbandevelopmentinalluvialregion AT sheerazahmedmemon multivariatehydrochemicalassessmentofgroundwaterqualityforirrigationpurposesandidentifyingsoilinteractioneffectsanddynamicsofndviandurbandevelopmentinalluvialregion AT khanmuhammadbrohi multivariatehydrochemicalassessmentofgroundwaterqualityforirrigationpurposesandidentifyingsoilinteractioneffectsanddynamicsofndviandurbandevelopmentinalluvialregion AT rabiachhachhar multivariatehydrochemicalassessmentofgroundwaterqualityforirrigationpurposesandidentifyingsoilinteractioneffectsanddynamicsofndviandurbandevelopmentinalluvialregion AT asadalighanghlo multivariatehydrochemicalassessmentofgroundwaterqualityforirrigationpurposesandidentifyingsoilinteractioneffectsanddynamicsofndviandurbandevelopmentinalluvialregion AT imranaziztunio multivariatehydrochemicalassessmentofgroundwaterqualityforirrigationpurposesandidentifyingsoilinteractioneffectsanddynamicsofndviandurbandevelopmentinalluvialregion |