Analysis of groundwater table variability and trend using ordinary kriging: the case study of Sylhet, Bangladesh
| Autor: | Anzhelika Antipova, Khairul Hasan, Sondipon Paul, Tareq Jamal Chy |
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| Rok vydání: | 2021 |
| Předmět: |
Hydrogeology
Water supply for domestic and industrial purposes Water table Context (language use) Groundwater depth 010501 environmental sciences 010502 geochemistry & geophysics 01 natural sciences Geostatistical analysis Ordinary kriging Kriging Sustainable management Groundwater management Sustainability Environmental science Spatial variability Water resource management Spatial map TD201-500 Groundwater 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Applied Water Science, Vol 11, Iss 7, Pp 1-12 (2021) |
| ISSN: | 2190-5495 2190-5487 |
| DOI: | 10.1007/s13201-021-01454-w |
| Popis: | Many developing countries experience widespread groundwater declination. Sustainable management actions include generation of an accurate groundwater distribution based on an extensive groundwater monitoring network which is often cost prohibiting in the context of a developing country such as Bangladesh. Further, such knowledge is lacking for the Sylhet region where groundwater was documented to be under tremendous pressure. Specifically, the gap in the current literature exists regarding groundwater trends and its areal extent for this region. This paper bridges the gap in research by focusing on trends and spatial and temporal variation of groundwater level changes for this area. This study addresses this problem by creating groundwater level predictions at the ungauged areas using geostatistical methods applied to a detailed set of data. In this study, the spatial variability of annual-average depth to the water table at 46 observation wells in the Sylhet division in Bangladesh is analyzed for 2000, 2005, 2010, and 2015. The geostatistical analysis applies the ordinary kriging method with cross-validation to create the water table maps for the study area. The results indicate a substantial increase in groundwater depths during the studied period from 2000 to 2015 in some locations in the study area. Importantly, this work identifies the vulnerable zones in the area due to the groundwater lowering trend. The study adds to the groundwater management research in developing countries and focuses on the spatial and temporal groundwater variation. The findings from the modeling exercise contribute to identification of the vulnerable areas and therefore help policymakers in making informed decisions to manage groundwater resources in this sensitive region sustainably. |
| Databáze: | OpenAIRE |
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