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Development of a simple method for determining the influence radius of a pumping well in steady-state condition 被引量:2
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作者 A S El-Hames 《Journal of Groundwater Science and Engineering》 2020年第2期97-107,共11页
Influence radius of a pumping well is a crucial parameter for hydrogeologists and engineers. Knowing the radius of influence for a designed drawdown enables one to calculate the pumping rate required to layout a proje... Influence radius of a pumping well is a crucial parameter for hydrogeologists and engineers. Knowing the radius of influence for a designed drawdown enables one to calculate the pumping rate required to layout a project foundation that may need lowering of groundwater level to a certain depth due to dewatering operation. In addition, this is important for hydrogeologists to determine ground water contamination flow paths and contributing recharge area for domestic water supply and aquifer management purposes. Empirical formulas that usually neglect vital parameters to determine the influence radius accurately have been traditionally utilized due to lack of adequate methods. In this study, a physically based method, which incorporates aquifer hydraulic gradient for determining the influence radius of a pumping well in steady-state flow condition, was developed. It utilizes Darcy and Dupuit laws to calculate the influence radius, where Darcy’s law and Dupuit equation, in steady-state condition, represent the inflow and the outflow of the pumping well, respectively. In an untraditional manner, this method can be also used to determine aquifer hydraulic conductivity as an alternative to other pumping test methods with high degree of accuracy. The developed method is easy to use;where a simple mathematical calculator may be used to calculate the influence radius and the pumping rate or hydraulic conductivity. By comparing the results from this method with the MODFLOW numerical model outputs with different simulated scenarios, it is realized that this method is much superior and more advantageous than other commonly used empirical methods. 展开更多
关键词 radius of influence DEWATERING Hydraulic gradient Hydraulic conductivity Pumping rate Aquifer management
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Simulation of heat transfer performance using middle-deep coaxial borehole heat exchangers by FEFLOW 被引量:5
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作者 KANG Wen-kai LIU Feng +1 位作者 YANG Fei-fan WANG Hua-jun 《Journal of Groundwater Science and Engineering》 2020年第4期315-327,共13页
Due to its large heat transfer area and stable thermal performance,the middledeep coaxial borehole heat exchanger(CBHE)has become one of the emerging technologies to extract geothermal energy.In this paper,a numerical... Due to its large heat transfer area and stable thermal performance,the middledeep coaxial borehole heat exchanger(CBHE)has become one of the emerging technologies to extract geothermal energy.In this paper,a numerical modeling on a three-dimensional unsteady heat transfer model of a CBHE was conducted by using software FEFLOW,in which the model simulation was compared with the other studies and was validated with experimental data.On this basis,a further simulation was done in respect of assessing the influencing factors of thermal extraction performance and thermal influence radius of the CBHE.The results show that the outlet temperature of the heat exchanger decreases rapidly at the initial stage,and then tended to be stable;and the thermal influence radius increases with the increase of borehole depth.The heat extraction rate of the borehole increases linearly with the geothermal gradient.Rock heat capacity has limited impact on the heat extraction rate,but has a great influence on the thermal influence radius of the CBHE.When there is groundwater flow in the reservoir,the increase of groundwater velocity will result in the rise of both outlet temperature and heat extraction rate.The heat affected zone extends along with the groundwater flow direction;and its influence radius is increasing along with flow velocity.In addition,the material of the inner pipe has a significant effect on the heat loss in the pipe,so it is recommended that the material with low thermal conductivity should be used if possible. 展开更多
关键词 Geothermal energy Coaxial borehole heat exchanger Geothermal gradient Groundwater velocity Rock heat capacity Thermal influence radius
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Numerical study on spatially varying control parameters of a marine ecosystem dynamical model with adjoint method
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作者 QI Ping WANG Chunhui +1 位作者 LI Xiaoyan LV Xianqing 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2011年第1期7-14,共8页
Based on the simulation of a marine ecosystem dynamical model in the Bohai Sea, the Yellow Sea and the East China Sea, chlorophyll data are assimilated to study the spatially varying control parameters (CPs) by usin... Based on the simulation of a marine ecosystem dynamical model in the Bohai Sea, the Yellow Sea and the East China Sea, chlorophyll data are assimilated to study the spatially varying control parameters (CPs) by using the adjoint method. In this study, the CPs at some grid points are selected as the independent CPs, while the CPs at other grid points can be obtained through linear interpolation with the independent CPs. The independent CPs are uniformly selected from each 30′ × 30′area, and we confirm that the optimal influence radius is 1.2° by a twin experiment. In the following experiments, when only the maximum growth rate of phytoplankton (Vm) is estimated by two given types of spatially varying CPs, the mean relative errors of Vm are 1.22% and 0.94% while the decrease rates of the mean error of chlorophyll in the surface are 94.6% and 95.8%, respectively. When the other four CPs are estimated respectively, the results are also satisfactory, which indicates that the adjoint method has a strong ability of optimizing the prescribed CP with spatial variations. However, when all these five most important CPs are estimated simultaneously, the collocation of the changing trend of each parameter influences the estimation results remarkably. Only when the collocation of the changing trend of each parameter is consistent with the ecological mechanisms which influence the growth of the phytoplankton in marine ecosystem, could the five most important CPs be estimated more accurately. 展开更多
关键词 marine dynamical ecosystem adjoint method influence radius spatially varyingparameters
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Groundwater remediation engineering——Study on the flow distribution of air sparging using acetylene
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作者 ZHENGYan-mei ZHANGYing +2 位作者 HUANGGuo-qiang JIANGBin LIXin-gang 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2005年第3期437-439,共3页
Air sparging(AS) is an emerging method to remove VOCs from saturated soils and groundwater. Air sparging performance highly depends on the air distribution resulting in the aquifer. In order to study gas flow characte... Air sparging(AS) is an emerging method to remove VOCs from saturated soils and groundwater. Air sparging performance highly depends on the air distribution resulting in the aquifer. In order to study gas flow characterization, a two-dimensional experimental chamber was designed and installed. In addition, the method by using acetylene as the tracer to directly image the gas distribution results of AS process has been put forward. Experiments were performed with different injected gas flow rates. The gas flow patterns were found to depend significantly on the injected gas flow rate, and the characterization of gas flow distributions in porous media was very different from the acetylene tracing study. Lower and higher gas flow rates generally yield more irregular in shape and less effective gas distributions. 展开更多
关键词 air sparging gas flow pattern GROUNDWATER radius of influence(ROI)
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Identification of Aquifer Properties in the Eastern Part of Kushtia District, Bangladesh
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作者 Md. Shahinuzzaman M. Nozibul Haque +1 位作者 Khan M. Nasir Uddin M. Alibuddin 《Journal of Geoscience and Environment Protection》 2020年第11期222-237,共16页
The present study has been undertaken to depict spatial distribution of different aquifer parameters in the eastern part of Kushtia district through a detailed hydrogeological survey. For this investigation, 119 litho... The present study has been undertaken to depict spatial distribution of different aquifer parameters in the eastern part of Kushtia district through a detailed hydrogeological survey. For this investigation, 119 lithologs and 92 pumping test data have been used. These data have been processed, analyzed, interpreted and krigged for the spatial assessment of the aquifer properties viz. transmissivity, hydraulic conductivity, hydraulic diffusivity, specific yield, radius of influence, and specific drawdown. It is seen from the investigation that the transmissivity and hydraulic conductivity values obtained from the pumping tests of the wells are varying from 1811 m<sup>2</sup>/day to 2568 m<sup>2</sup>/day and 32.5 m/day and 61.5 m/day respectively, the hydraulic diffusivity being ranging from 181,143 m<sup>2</sup>/day to 256,788 m<sup>2</sup>/day. The estimated specific yield of 17.97% - 23.46% supports that the area is dominated with coarse grained sands. This study reveals that the distribution of deep tube wells in the area are not within the radius of influence (638 - 760 m) each other, but few shallow and hand tube wells existed within the radius of influence. The estimated specific draw down is varying from 57 m/cumec to 126.1 m/cumec. From the overall analysis, it is found that the area is favorable for groundwater exploration. 展开更多
关键词 Groundwater AQUIFER Pumping Test TRANSMISSIVITY Hydraulic Conductivity Hydraulic Diffusivity Specific Yield radius of Influence Specific Yield
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Hydrogeological Comparison of Three Wells with a Basin Approach in the Nandaime-Rivas Aquifer, 2021
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作者 Victor Rogelio Tirado Picado 《Open Journal of Applied Sciences》 CAS 2022年第7期1141-1151,共11页
In general, the content of this study is aimed at presenting a comparative analysis of the hydrogeological results of three underground sources. The points or sources of analysis are the Dolores 01, Dolores 02 and Mec... In general, the content of this study is aimed at presenting a comparative analysis of the hydrogeological results of three underground sources. The points or sources of analysis are the Dolores 01, Dolores 02 and Mecatepillo wells, which are registered at the following coordinates: East 610561, North 1292576, East 610234, North 1293090, East 611482, North 1293881, respectively, according to the UTM WGS system 84 Zone 16N, the analysis is done with a basin approach in the Nandaime-Rivas aquifer. According to the above, bibliographic resources have been consulted that help to further understand the comparative criteria such as transmissibility, storage coefficient, a radius of influence and thickness of the aquifer, providing complementary and additional information. 展开更多
关键词 HYDROGEOLOGY Well TRANSMISSIBILITY Hydraulic Conductivity Flow Rate Thickness radius of Influence
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