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!
|
| Summary: | 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. |
|---|---|
| ISSN: | 2666-7657 |