A Spatiotemporal Analysis of Groundwater Level Changes in Relation to Urban Growth and Groundwater Recharge Potential for Waukesha County, Wisconsin

Choi, Woonsup; Galasinski, Ulrike; Cho, Sung‐Jin; Hwang, Chul-sue

doi:10.1111/j.1538-4632.2012.00848.x

Cited by 19 publications

(6 citation statements)

References 17 publications

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“…Because of over-exploitation, the annual average reduction speed during 2007 and 2013 is higher than that during 2001 and 2006. Under the same land use, the change of exploitation way of the groundwater will cause the change of reduction speed of the groundwater level (Choi et al 2012 ). Due to the rapid development of the urban area and increase of exploitation amount of the groundwater year by year, the groundwater level during 2006 and 2013 presents an overall downward trend.…”

Section: Resultsmentioning

confidence: 99%

Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China

Xiao

Yin

et al. 2016

SpringerPlus

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Based on the geo-statistical theory and ArcGIS geo-statistical module, datas of 30 groundwater level observation wells were used to estimate the decline of groundwater level in Beijing piedmont. Seven different interpolation methods (inverse distance weighted interpolation, global polynomial interpolation, local polynomial interpolation, tension spline interpolation, ordinary Kriging interpolation, simple Kriging interpolation and universal Kriging interpolation) were used for interpolating groundwater level between 2001 and 2013. Cross-validation, absolute error and coefficient of determination (R2) was applied to evaluate the accuracy of different methods. The result shows that simple Kriging method gave the best fit. The analysis of spatial and temporal variability suggest that the nugget effects from 2001 to 2013 were increasing, which means the spatial correlation weakened gradually under the influence of human activities. The spatial variability in the middle areas of the alluvial–proluvial fan is relatively higher than area in top and bottom. Since the changes of the land use, groundwater level also has a temporal variation, the average decline rate of groundwater level between 2007 and 2013 increases compared with 2001–2006. Urban development and population growth cause over-exploitation of residential and industrial areas. The decline rate of the groundwater level in residential, industrial and river areas is relatively high, while the decreasing of farmland area and development of water-saving irrigation reduce the quantity of water using by agriculture and decline rate of groundwater level in agricultural area is not significant.

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Section: Resultsmentioning

confidence: 99%

Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China

Xiao

Yin

et al. 2016

SpringerPlus

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“…Slope : Groundwater recharge is affected by slope (Al Saud et al 2010;El-Baz, 1995;Machiwal et al 2011;Choi et al 2012). Due to the substantial high accumulation of rainwater, low slopes promote groundwater recharge.…”

Section: Land Cover -Usementioning

confidence: 99%

Assessing and Delineation of Groundwater Recharge Areas in Coastal Arid Area in Tunisia Using GIS, Remote Sensing Techniques and Self-organizing Map

Abdelkarim

Telahigue

Agoubi

2022

Preprint

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In Gabès region (southeastern Tunisia), given the semi-arid to arid climate conditions, groundwater is an essential resource to supply the growth needs of the socio-economic development. To ensure sustainable development and preserve water resources, a careful estimation of the present day recharge amount and the delineation of the potential zones of rainfall precipitation are of required for an accurate evaluation of regional water balance. In this context, this study aims to a preliminary assessment of groundwater recharge in Gabes basin in regard to the delineation of the potential recharge areas of phreatic aquifers. Thus, a geological and hydrogeological collected database coupled with remote sensing techniques (RST) were used for the determination of the lateral variation of recharging zone ,Treatment by ArcGIS and Matlab softwares and Kohonen self-organizing maps (K-SOM) approaches.The obtained results indicate that five recharge potential areas have been identified and classified as 27% very low, 23% low, 40% moderate recharge, 7% good and 3 % very good potential recharge located principally on southern part of the study region .This distribution is controlled principally by the geomorphological, geologic, and hydrogeologic features of the region . Reasonable management strategies based on a perennial exploitation of these low renewable resources are required to optimize the water dependent socio-economic development. The estimated groundwater potential recharge of Gabès aquifer system using K-SOM and RST is of 11.4 Mm3.y-1. This recharging rate is very low it present 7% of the total rain, thus it must be ameliorated. K-SOM and RST approach is a useful method for groundwater potential recharge mapping and is a helpful of wells establishment and groundwater sustainable management.an isotopic analyses is recommended to ameliorate the decision maker to establish the adequate strategy.

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“…Despite multiple methodologies being employed to estimate the recharge, this field of determination remains challenging due to natural and man-made factors such as surface and subsurface interaction, soil characteristics, geologic heterogeneity, landscape slope, land use, land cover, climate change, anthropogenic factors, and so on (Holman 2006;Choi et al 2012;Wu et al 2021). The researcher's experience and the availability of the desired data set influence the method of estimation used.…”

Section: Introductionmentioning

confidence: 99%

Groundwater recharge estimation using water table fluctuation and empirical methods

Addisie

2022

H2Open Journal

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The reliable estimation of groundwater recharge is fundamental to the appropriate use of groundwater resources. Shallow groundwater resource quantification for irrigation in highland regions remains challenging. Specifically, in the humid Ethiopian highlands, only limited research has been done on groundwater recharge estimation. Despite the various techniques used to determine recharge, the objective of this study was to better understand natural groundwater recharge using water table fluctuation (WTF) and empirical methods in the sub-humid Ethiopian highlands. The Ene-Chilala watershed was selected for this study. Precipitation, infiltration rate, and piezometric water levels were measured. Precipitation was measured over a 4-year period (2013–2016), whereas infiltration and the groundwater table were measured over a 1-year period (2014). Recharge rates using WTF were determined from the three slope positions and the median of all piezometers for the whole watershed. Infiltration rates on the upslope were greater compared to the mid- and downslopes. The rainfall intensity exceeded the infiltration rate in all slope positions, so the excess rainfall recharged the perched upslope aquifer and eventually drained as interflow to recharge the mid- and downslopes. The estimated groundwater recharge from WTF was less compared to the average of empirical estimations. Surprisingly, from the nine selected empirical equations, the modified Chaturvedi formula had a similar estimation to the WTF method. In conclusion, it is challenging to find long-term seasonal and spatial groundwater-level data. Long-term groundwater data should, therefore, be available in order to arrive at a reliable recharge estimate and for effective groundwater management practices.

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A Spatiotemporal Analysis of Groundwater Level Changes in Relation to Urban Growth and Groundwater Recharge Potential for Waukesha County, Wisconsin

Cited by 19 publications

References 17 publications

Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China

Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China

Assessing and Delineation of Groundwater Recharge Areas in Coastal Arid Area in Tunisia Using GIS, Remote Sensing Techniques and Self-organizing Map

Groundwater recharge estimation using water table fluctuation and empirical methods

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