Multi control spatial history of groundwater reservoirs in Pakistan using satellite driven data

• Autorzy: Mahmood Khalid , Basit Iqra , Faizi Fiza

Identyfikatory

DOI

10.1007/s11600-022-00881-w

• Języki publikacji: EN

Abstrakty

EN

Assessment of changing groundwater storage is an important factor that needs to be assessed over both time and space to understand the regional scenarios. This study has employed Geographical Temporal Weighted Regression (GTWR) along with Geographic Weighted Regression and Ordinary Least Squares to find the impact of various variables on Groundwater Storage Anomaly (GWSA). The study has made use of satellite data of gravity change, extracted using fishnet point observation to reduce processing complexity. All three methods have been compared using correlation coefficient, Akaike information criterion, and root mean squared error. Results show that GTWR, with highest R-square of 65.3 and lowest root mean square error of 0.18, is the more comprehensive option for quantifying the effect of controlling factors among its counterparts as it incorporates both spatial and temporal heterogeneity. Runoff, population density, and soil moisture are the dominant factors controlling groundwater changes with interquartile ranges of 2.35, 0.62 and 1.58 respectively, much bigger than twice the standard error. This indicates a significant effect of anthropogenic activities including rapid urbanization and increase in extraction for irrigation. Additionally, the use of GTWR led the analysis to highlight factors that influence neighboring regions. Instead of climate change and poor management of water, the alteration to the natural course of rivers has been highlighted as the biggest cause of water table decline in the region.

Słowa kluczowe

EN

Groundwater Storage Anomaly; geographical weighted regression; Geographical Temporal Weighted Regression; ordinary least square; spatio-temporal heterogeneity

PL

anomalia magazynowania wód podziemnych; regresja ważona geograficznie

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2023
• Tom: Vol. 71, no. 1
• Strony: 423--436
• Opis fizyczny: Bibliogr. 41 poz.

Twórcy

autor

Mahmood Khalid

• Department of Space Science, University of the Punjab, Lahore 54590, Pakistan
• Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Center for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan

• https://orcid.org/0000-0002-7327-8308

autor

Basit Iqra

• Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Center for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan

autor

Faizi Fiza

• Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Center for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).