Contribution of groundwater modeling to planning

Moore, John E.

doi:10.1016/0022-1694(79)90168-9

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…Two types of hydrogeological data are required for the accurate groundwater flow model development. The first data describe physical framework of groundwater system, and the second data express its hydrological stress (Moore 1979).…”

Section: Data Collectionmentioning

confidence: 99%

Conceptualization and development of multi-layered groundwater model in transient condition

Omar¹,

Gaur

Dikshit

2021

Appl Water Sci

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Effective management of water resource is essential in arid and semi-arid areas of India. In Bihar, for drinking purpose humans, livestock is dependent on the groundwater as well as in agricultural areas groundwater plays an important role in irrigation directly or indirectly. There is rise in the groundwater demand due to rapid population increase and fast industrialization. To meet this groundwater demand, excessive withdrawal of groundwater is a point of concern due to limited storage of it. Assessment of the groundwater was done by preparing a numerical model of the groundwater flow. This model is capable of solving large groundwater problems and associated complexity with it. In this study, a transient multi-layered groundwater flow model was conceptualized and developed for the Koshi River basin. In north Bihar plains, the Koshi River is one of the biggest tributaries of the Ganga River system. Koshi originates from the lower part of Tibet and joins the Ganga River in Katihar district, Bihar, India. After model development, calibration of the model was also done, by considering three model parameters, to represent the actual field conditions. For validation of the model, fifteen observation wells have been selected in the area. With the help of observation well data, computed and observed heads were compared. Comparison results have been found to be encouraging and the computed groundwater head matched with the observed water head to a realistic level of accuracy. Developed groundwater model is used to predict the groundwater head and flow budget in the concerned area. The study revealed that groundwater modeling is an important method for knowing the behavior of aquifer systems and to detect groundwater head under different varying hydrological stresses. This type of study will be beneficial for the hydrologist and water resource engineers to predict the groundwater flow behavior, before implementing any project or to implement a correction scheme.

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Section: Data Collectionmentioning

confidence: 99%

Conceptualization and development of multi-layered groundwater model in transient condition

Omar¹,

Gaur

Dikshit

2021

Appl Water Sci

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“…Groundwater modeling approach with MODFLOW software is used to predict climate change impacts on groundwater resources in this research. Data requirements for a predictive model mainly include physical data and system stresses data (Moore 1979). Actually, these data are required to develop the aquifer's conceptual model.…”

Section: Simulating Climate Change Impacts On Groundwater Resourcesmentioning

confidence: 99%

Identifying vulnerable areas of aquifer under future climate change (case study: Hamadan aquifer, West Iran)

Nassery

Salami

2016

Arab J Geosci

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Groundwater is the main source of water in arid and semi-arid regions, so it is very important to recognize vulnerable parts of aquifer under future climate change conditions. In this research, 16 climate models were evaluated based on weighting approach. HADCM3 and CGCM2.3.2a models were selected for temperature and precipitation prediction, respectively. LARS-WG was used for downscaling AOGCMs outputs. Results show that temperature increase by 1.4°C and precipitation changes between +10 and −6 % under B1 and A2 emission scenario, respectively. Runoff volumes will decrease by −39 % under A2 emission scenario whereas runoff volume will increase by +12 % under B1 emission scenario. Simulation of groundwater head variation by MODFLOW software indicates higher groundwater depletion rate under A2 scenario compared to B1 scenario. Groundwater model outputs indicate that the most vulnerable part of the aquifer is located in the southwest region. Large number of extraction wells and low aquifer transmissivity are the reasons for high vulnerability of the region.

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“…In order to calibrate a numerical flow model, the hydraulic parameters can be obtained from aquifer tests, formerly known as pumping tests, which evaluate the response of an aquifer (time-drawdown data usually measured at observation wells) by extracting water (at a constant flow rate) through a pumping well. Another option to determine the hydraulic parameters is the execution of permeability tests performed in the laboratory, or alternatively with the use of tracers, from reference tables, or empirical formulas; however, aquifer tests provide the most representative values for specific aquifer conditions [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Use of the Kalman Filter for the Interpretation of Aquifer Tests Including Model and Measurement Errors

Júnez-Ferreira

2022

Water

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The hydraulic parameters representative of actual aquifer conditions can be obtained through aquifer tests formerly known as pumping tests. Diverse methodologies based on analytical or numerical solutions have been proposed for the interpretation of aquifer tests; however, measurement and model errors are often neglected, which could lead to hydraulic parameter values that do not reflect the aquifer conditions. In this paper, a new alternative is presented for the interpretation of aquifer tests in confined aquifers based on the Cooper–Jacob solution by means of the dynamic Kalman filter and a nonlinear optimization method. This proposal was tested in two previously published case studies; the measured drawdowns were filtered by considering measurement and model errors to match the Cooper–Jacob solution. For the case studies, the results show that filtering the measured drawdowns leads to variations of up to 49.97% in the values for T and 150% for S when compared to the values determined by methodologies that neglect measurement and model errors. A poor match between filtered and measured data reflects large measurement errors and considerable deviations of the aquifer conditions with respect to the proposed model.

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Contribution of groundwater modeling to planning

Cited by 15 publications

References 10 publications

Conceptualization and development of multi-layered groundwater model in transient condition

Conceptualization and development of multi-layered groundwater model in transient condition

Identifying vulnerable areas of aquifer under future climate change (case study: Hamadan aquifer, West Iran)

Use of the Kalman Filter for the Interpretation of Aquifer Tests Including Model and Measurement Errors

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