Finite Hydraulic Conductivity Effects on Optimal Groundwater Pumping Rates

A simulation-based fuzzy optimization method (SFOM) was proposed for regional groundwater pumping management in considering uncertainties. SFOM enhanced the traditional groundwater management models by incorporating a response matrix model (RMM) into a fuzzy chance-constrained programming (FCCP) framework. RMM was used to approximate the input–output relationship between pumping actions and subsurface hydrologic responses. Due to its explicit expression, RMM could be easily embedded into an optimization model to help seek cost-effective pumping solutions. A groundwater management case in Pinggu District of Beijing, China, was used to demonstrate the method's applicability. The study results showed that the obtained system cost and pumping rates would vary significantly under different confidence levels of constraints satisfaction. The decision-makers could identify the best groundwater pumping strategy through analyzing the tradeoff between the risk of violating the related water resources conservation target and the economic benefit. Compared with traditional approaches, SFOM was particularly advantageous in linking simulation and optimization models together, and tackling uncertainties using fuzzy chance constraints.

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Assessment of hydraulic conductivity improvement due to vibration application at riverbank

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/920/1/012022 ◽

2021 ◽

Vol 920 (1) ◽

pp. 012022

Author(s):

F Baharudin ◽

N Hamzah ◽

I N Mohamad ◽

Z Z M Zaki

Keyword(s):

Hydraulic Conductivity ◽

Positive Impact ◽

Subsurface Water ◽

Groundwater Pumping ◽

Groundwater Abstraction ◽

Slug Test ◽

Soil Hydraulic Conductivity ◽

Vibration Method ◽

Before And After ◽

Soil Clogging

Abstract Groundwater abstraction is a process of obtaining subsurface water sources for variety purpose of consumption. However, due to long and continuous pumping, the efficiency might decrease because of soil clogging. This decreased can be quantified and reflected as the change of hydraulic conductivity (K) values at the pumping site. This study aims to assess the variability of soil hydraulic conductivity at groundwater pumping site and also to study the effectiveness of vibration method to improve the hydraulic conductivity by comparing the result of before and after vibration is applied. The study was carried out by measuring the K values using slug test at wells MW01 and MW02 with two durations of vibration which were 45 minutes and 60 minutes. The result shows that values of hydraulic conductivity of the soil were found to have increased for both MW0l and MW02 wells. On first trial, the hydraulic conductivity increases for MW0l and MW02 are 16.7% and 39.3% while on second trial, the percentage increases for MW01 and MW02 are 54.3% and 11.1% respectively. Although the change for MW02 decreased for 60 minutes vibration, it can still be noted as there is a positive impact of vibration to the K value and further extensive data collection will be able to provide better assessment. Thus, it has been proven that the vibration method can be effective in reducing the soil clogging effect and also able to improve the hydraulic conductivity of the soil.

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Modelling surface water-groundwater interactions at the Palas Basin (Turkey) using FREEWAT

Acque Sotterranee-Italian Journal of Groundwater ◽

10.7343/as-2017-288 ◽

2017 ◽

Vol 6 (3) ◽

Cited By ~ 1

Author(s):

Filiz Dadaser-Celik ◽

Mete Celik

Keyword(s):

Surface Water ◽

Groundwater Flow ◽

Water Levels ◽

Central Anatolia ◽

Lake Ecosystem ◽

Groundwater Pumping ◽

Groundwater Abstraction ◽

Groundwater Levels ◽

Water Flows ◽

Pumping Rates

Palas Basin is a semi-arid closed basin located in the Central Anatolia region of Turkey. The major economic activity in the basin is agriculture; therefore, both surface water and groundwater are used for irrigation. However, intensive use of water resources threatens the hydrologic sustainability of a lake ecosystem (Tuzla Lake) located in the basin. In this study, we analyzed the relationships between agricultural water uses in the Palas Basin and water flows to the Tuzla Lake using groundwater flow model developed with the FREEWAT platform. The model grid with 250 m x 250 m resolution was created based on the entire watershed. Two hydrostratigraphic units were identified. The source terms defined in the model were rainfall recharge and the sink terms were evapotranspiration and wells. The model was run for one year at steady state conditions. Three scenarios were simulated to understand the effect of groundwater use on the lake hydrology. The first scenario assumed that there was no groundwater abstraction. As the second and third water management scenario, the model was run with 50% less and %50 more groundwater abstraction than that of the reference conditions. The model successfully simulated the direction of groundwater flow and groundwater levels in the basin. Annual groundwater recharge was simulated as 5.27 million m3. Groundwater losses were due to pumping (1.49 million m3/yr), leakance to Değirmen River (2.25 million m3/yr) and seepage to Tuzla Lake (1.53 million m3/yr). Water flows to Tuzla Lake were significantly related to pumping rates. Increasing groundwater pumping rates reduces groundwater flows to Tuzla Lake and lowers lake water levels. No groundwater abstraction and reduction in groundwater pumping rates increase water flows to Tuzla Lake and cause higher water levels. This analysis showed that protection of hydrologic characteristics of Tuzla Lake is only possible with more control on groundwater abstraction.

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Wetland Vegetation Response to Groundwater Pumping and Hydrologic Recovery

Wetlands ◽

10.1007/s13157-020-01383-5 ◽

2020 ◽

Vol 40 (6) ◽

pp. 2609-2619

Author(s):

Megan K. Bartholomew ◽

Christopher J. Anderson ◽

Jacob F. Berkowitz

Keyword(s):

Species Richness ◽

Community Response ◽

Wetland Vegetation ◽

Groundwater Pumping ◽

Vegetation Response ◽

Prevalence Index ◽

Pumping Rates ◽

Understory Plant ◽

Level Monitoring ◽

Species Importance

AbstractAn investigation of wetland vegetation response to groundwater alteration was conducted at the J.B. Starkey Wilderness Park, a large municipal wellfield in the area of west Florida, USA. Decades of historic groundwater withdrawal had created a gradient of impacted wetlands on the wellfield, after which time the groundwater pumping rates were reduced. Nineteen cypress dome wetlands were grouped, based on their hydrologic histories, as either most-altered (least inundation), marginally-altered (intermediate inundation), or least-altered (near-normal inundation). Annual species–level monitoring data were used to evaluate understory plant community response to the hydrologic recovery that resulted from reduced groundwater pumping. Species richness, cover, prevalence index (PI), and species importance percentages were assessed during pre- (2005–2007) and post- (2012–2014) hydrologic recovery periods. The vegetation in marginally- and most-altered wetlands responded to hydrologic recovery with increased species richness and lower PI values (i.e., greater hydrophytic character). However, species importance percentages indicated greater variation in the recovery of most-altered wetlands, where species composition often remained different from least-altered wetlands. Although reductions in groundwater pumping caused sufficient passive hydrologic recovery to elicit a vegetation response, further reductions and/or more time may be needed before the vegetation of some altered wetlands can become comparable to that of least-impacted wetlands.

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Optimization of Groundwater Pumping and River-Aquifer Exchanges for Management of Water Resources

10.22541/au.163251326.66781035/v1 ◽

2021 ◽

Author(s):

Mayank Bajpai ◽

Shishir Gaur ◽

Anurag Ohri ◽

Shreyansh Mishra ◽

Hervé Piégay ◽

...

Keyword(s):

Water Resources ◽

Boundary Conditions ◽

Simulation Optimization ◽

Optimization Models ◽

Multi Objective Optimization ◽

Groundwater Pumping ◽

Multi Objective ◽

Model Domain ◽

Pumping Rates ◽

Pareto Fronts

Groundwater pumping influences the rate of River-Aquifer (R-A) exchanges and alters the water budget of the aquifer. Therefore, fulfilling the total water demand of the area, with an optimal pumping rate of wells and optimal R-A exchanges rate, is important for the sustainable management of water resources and aquatic ecosystems. Meanwhile, comparison of the output of different simulation-optimization techniques, which is used for the solution of water resource management problems, is a very challenging task where different Pareto fronts are compared to identify the best results. In the present work, mathematical models were developed to simulate the R-A exchanges for the lower part of the River Ain, France. The developed models were coupled with optimization models in MATLAB environment and were executed to solve the multi-objective optimization problem based on the maximization of pumping rates of wells and maximization of groundwater input into the river Ain through R-A exchanges. The Pareto front developed by different simulation-optimization models was compared and analyzed. The Pareto fronts were juxtaposed based on the convergence, total diversity, and uniformity with the help of different performance metrics like hypervolume, generational distance, inverted generational distance, etc. The impact of different groundwater models based on domain size and boundary conditions was also examined. Results show the dominance of MOPSO over other optimization algorithms and concluded that the maximization of pumping rates significantly changes after considering the R-A exchanges-based objective function. It is observed that the model domain also alters the output of simulation-optimization, therefore the model domain and corresponding boundary conditions should be selected carefully for the field application of management models. ANN models were also developed to deal with the computationally expensive simulation model by reducing the processing time and were found efficient. Keywords: Simulation-Optimization, Multi-Objective optimization, Artificial Neural Network, River-Aquifer exchanges.

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Finite hydraulic conductivity effects on optimal ground water pumping rates

Water Resources Research ◽

10.1029/90wr01663 ◽

1990 ◽

Vol 26 (12) ◽

pp. 2861-2864 ◽

Cited By ~ 1

Author(s):

W. R. Zimmerman

Keyword(s):

Hydraulic Conductivity ◽

Ground Water ◽

Water Pumping ◽

Pumping Rates

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Implications of the Melamchi water supply project for the Kathmandu Valley groundwater system

Water Policy ◽

10.2166/wp.2019.084 ◽

2019 ◽

Vol 21 (S1) ◽

pp. 120-137 ◽

Cited By ~ 2

Author(s):

Bhesh Raj Thapa ◽

Hiroshi Ishidaira ◽

Maksym Gusyev ◽

Vishnu Prasad Pandey ◽

Parmeshwar Udmale ◽

...

Keyword(s):

Water Supply ◽

Ground Level ◽

Hydraulic Head ◽

Kathmandu Valley ◽

Groundwater Pumping ◽

Groundwater Availability ◽

Before And After ◽

Pumping Rates ◽

The Government ◽

Near Future

Abstract To meet the demand deficit in Kathmandu Valley, the Government of Nepal has planned to supply an additional 510 million liters per day (mld) of water by implementing the Melamchi Water Supply Project (MWSP) in the near future. In this study, we aim to assess the spatial distribution of groundwater availability and pumping under five scenarios for before and after the implementation of the MWSP using a numerical groundwater flow model. The data on water demand, supply infrastructure, changes in hydraulic head, groundwater pumping rates, and aquifer characteristics were analyzed. Results showed that groundwater pumping from individual wells ranges from 0.0018 to 2.8 mld and the average hydraulic head declined from 2.57 m below ground level (bgl) (0.23 m/year) to 21.58 m bgl (1.96 m/year). Model simulations showed that changes in average hydraulic head ranged from +2.83 m to +5.48 m at various stages of the MWSP implementation, and −2.97 m for increased pumping rates with no implementation of the MWSP. Regulation in pumping such as monetary instruments (groundwater pricing) on the use of groundwater along with appropriate metering and monitoring of pumping amounts depending on the availability of new and existing public water supply could be interventions in the near future.

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Groundwater Flow Modeling in the Malioboro, Yogyakarta, Indonesia

Journal of Applied Geology ◽

10.22146/jag.39996 ◽

2018 ◽

Vol 3 (1) ◽

pp. 11

Author(s):

Alwan Satapona ◽

Doni Prakasa Eka Putra ◽

Heru Hendrayana

Keyword(s):

Secondary Data ◽

Groundwater Table ◽

Groundwater Pumping ◽

Groundwater Abstraction ◽

Groundwater System ◽

Water Abstraction ◽

Deep Wells ◽

Dug Wells ◽

Pumping Rates ◽

Upper Aquifer

Malioboro is a famous tourism area in Yogyakarta City, in which there aremany hotels and increases every years and this follows by the increasing needs of fresh water taken from underlying groundwater. The decreasing of groundwater table become a great issue on this area, therefore the objective of the research is to predict groundwater table change in the next 10 years due to increase abstraction of groundwater. To answer the mentioned objectives, field observation of dug wells and collection of secondary data of log bores also calculation of recharge and water abstraction are used to understand and build the conceptual model of local groundwater system. The prediction is done by conducting simulation on a numerical groundwater model by using MODFLOW. The local groundwater system consists of two aquifer layers; upper aquifer and lower aquifer which separated incompletely by clay layer. Simulation is conducting by distributing the groundwater pumping for domestic and non-domestic utilization by dug wells in the upper aquifer, whereas deep wells non-domestic utilization are applied only in the lower aquifer. Simulations are conducted twice for the recent day and the next ten years predictionof groundwater abstraction. In the case of groundwater abstraction in the next tenyears, dug wells abstraction and deep wells pumping are setting to 4727 m3/day and 1648 m3/day, respectively. The groundwater pumping rates is representing increase of groundwater withdrawal of users in the range only between 0.2–1.2 % per year compare to the recent condition. The simulation reveals change occur on groundwater table depth and pattern. In average, the groundwater table will decrease of about 0.25 meter.

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