Open Access
Subscription Access
Open Access
Subscription Access
Analysis of Groundwater Level Differences in Ganges Basin using Geostatistical Modeling
Subscribe/Renew Journal
India is a developing country, with the increase in the industrialization and urbanization burden on the water resources increasing day by day. The most common source for the water extraction is the groundwater. With the increasing demand of water, groundwater exploitation increases. As Ganges basin have many large industrial towns the problem of groundwater exploitation is more widen and the extent of groundwater exploitation varies considerably from one place to other place within basin. Thus, this studies is mainly focused towards the analysis of the spatial variation and mapping of groundwater level differences. Ganges basin is largest basin in India, thus Geostatistical methods are used to assess the depletion of groundwater level. This study is carried out to get the spatial information on extent of groundwater exploitation, it can help to make the policy for the use of water groundwater resources in a more judicial way to avoid more depletion of water level.
Keywords
Geostatistical Modeling, Groundwater Fluctuation, Ganges Basin, GIS.
Subscription
Login to verify subscription
User
Font Size
Information
- Ahmadi, S.H. and Sedghamiz, A. (2007).Geostatistical analysis of spatial and temporal variations of groundwater level. Environ. Monit. Assess.,129 (1-3): 277-294.
- Lee, J.Y. and Song, S.H. (2007). Evaluation of groundwater quality in coastal areas: implications for sustainable agriculture. Environmental Geology, 52 (7) : 1231-1242.
- Mevlut Uyan (2016). Determination of agricultural soil index using geostatistical analysis and GIS on land consolidation projects: A case study in Konya/Turkey. Computers & Electronics in Agriculture, 123:402-409.
- Nayak, Purna Chandra, Wardlaw, Robin and Kharya, Ashok K. (2015).Water balance approach to study the effect of climate change on groundwater storage for Sirhind command area in India. Internat. J. River Basin Mgmt,.13(2) : 243-261.
- Shavkat, Rakhmatullaev, Antoine, Marache, Frederic, Huneau, Philippe, Le Coustumer, Masharif, Bakiev and Mikael, Motelica-Heino (2011). Geostatistical approach for the assessment of the water reservoir capacity in arid regions: A case study of the Akdarya reservoir, Uzbekistan. Environmental Earth Sciences, Springer, 63 (3): 447-460.
- Tayfun, Cay and Mevlut, Uyan (2009).Spatial and temporal groundwater level variation geostatistical modeling in the city of Konya, Turkey.Water Environ. Res., 81 (12): 2460-2470.
- Theodossiou, N. and Latinopoulos, P. (2006). Evaluation and optimization of groundwater observation networks using the Kriging methodology. Environmental Modelling & Software 22 (7): 991-1000.
- Samadder, R.K., Gupta, R.P. and Kumar, S. (2011). Paleochannels and their potential for artificial groundwater recharge in the western Ganga plains. J. Hydrology, 400 : 154164. http://dx.doi.org/10.1016/j.jhydrol.2011.01.039.
- Uyan, Mevlut and Tayfun, Cay (2013). Spatial analyses of groundwater level differences using geostatistical modeling. Environmental & Ecological Statistics, 20 (4): 633-646.
Abstract Views: 378
PDF Views: 0