The Experts below are selected from a list of 27513 Experts worldwide ranked by ideXlab platform
Ashu Jain - One of the best experts on this subject based on the ideXlab platform.
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identification of unknown Groundwater Pollution sources using artificial neural networks
Journal of Water Resources Planning and Management, 2004Co-Authors: Raj Mohan Singh, Bithin Datta, Ashu JainAbstract:The temporal and spatial characterization of unknown Groundwater Pollution sources remains an important problem in effective aquifer remediation and assessment of associated health risks. The characterization of contaminated source involves identifying spatially and temporally varying source locations, injection rates, and release periods. The proposed methodology exploits the universal function approximation capability of a feed forward multilayer artificial neural network (ANN) to identify the unknown Pollution sources. The ANN is trained to identify source characteristics based on simulated contaminant concentration measurement data at specified observation locations in the aquifer. These concentrations are simulated for a large set of randomly generated Pollution source fluxes. The back-propagation algorithm is used for training the ANN, with each corresponding set of source fluxes and resulting concentration measurement constituting a pattern for training the ANN. Performance of this methodology is evaluated for various data availability, measurement error, and source location scenarios. The developed ANNs are capable of identifying unknown Groundwater Pollution sources at multiple locations using erroneous measurement data.
Jinsheng Wang - One of the best experts on this subject based on the ideXlab platform.
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A least squares method for identification of unknown Groundwater Pollution source
Hydrology Research, 2021Co-Authors: He Zhukun, Rui Zuo, Dan Zhang, Kexue Han, Zhenkun Xue, Jinsheng WangAbstract:Abstract The identification of unknown Groundwater Pollution sources is one of the most important premises in Groundwater Pollution prevention and remediation. In this paper, an exploratory application of a least squares method to identify the unknown Groundwater Pollution source is conducted. Supported by a small amount of observation data and the analytical solutions of the pollutant transport model, the initial concentration, the leakage location and the pollutant mass are identified by using the least squares method under a sand tank experiment and a gas station area. In the sand tank experiment, it is found that the fitting errors of three cross-sections are within 6%. In the gas station area, it is found that the results are nearly consistent with the site investigation information. The results indicate that the least squares method has considerable application values in the identification of Groundwater Pollution sources.
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Economic Losses of Groundwater Pollution
Groundwater Pollution Risk Control from an Industrial Economics Perspective, 2018Co-Authors: Huan Huan, Jinsheng WangAbstract:Recognizing the value of environmental resource, the developed countries and regions around the world are reforming their national economic account system by including economic losses of environmental resources, so as to truly reflect the development of the national economy. The integration of economic losses caused by Pollution-included Groundwater depletion into economic construction costs is of high significance to environmental protection, resource conservation and national economic development. Based on the results of Groundwater Pollution risk assessment, this chapter estimates the economic losses caused by Groundwater Pollution are calculated, which intuitively provides a dynamic and scientific basis for Groundwater environmental protection and governance. The results support the establishment and implementation of Groundwater Pollution prevention and control system and the sustainability of economic development.
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Industrial and Economic Analysis of Groundwater Pollution
Groundwater Pollution Risk Control from an Industrial Economics Perspective, 2018Co-Authors: Huan Huan, Jinsheng WangAbstract:Since that environmental resources are valuable, the developed countries and regions around the world are reforming the existing national economic account system to include economic losses of environmental resources, so as to truly reflect the development of the national economy. The integration of economic losses caused by Groundwater depletion, including Groundwater Pollution, into economic construction costs, is of great significance to environmental protection, resource conservation and national economic development. The economic losses caused by Groundwater Pollution are calculated based on the results of Groundwater Pollution risk assessment. The measurement more intuitively provides a dynamic and scientific basis for Groundwater environmental protection and governance, which supports the establishment and implementation of Groundwater Pollution prevention and control system and the sustainability of economic development. This chapter probes into the mechanism of interaction between industrial structure and Groundwater Pollution and reveals the water Pollution characteristics of different sectors.
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Groundwater Pollution Risk Assessment
Groundwater Pollution Risk Control from an Industrial Economics Perspective, 2018Co-Authors: Huan Huan, Jinsheng WangAbstract:Groundwater Pollution prevention and control should be given priority to avoid costly remediation since Groundwater Pollution is invisible, complex, and has long-term impact. Groundwater Pollution risk assessment, which refers to the process of determining potential impacts of any pollutant, is an effective tool for designing efficient Groundwater management and protection strategies. The chapter adopts the index overlay method to assess the risk of Groundwater Pollution covering a variety of typical pollutants in the study area. Groundwater Pollution risk is believed to be a superposed result of intrinsic Groundwater vulnerability and Groundwater Pollution load, and Groundwater function, so the risk assessment is focused on Pollution load assessment and Groundwater function assessment.
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Groundwater Pollution Characteristics and Source Apportionment
Groundwater Pollution Risk Control from an Industrial Economics Perspective, 2018Co-Authors: Huan Huan, Jinsheng WangAbstract:The chapter elaborates on the analysis of Groundwater hydro-chemical characteristic, assessing the Groundwater quality and Groundwater Pollution according to the Groundwater quality data collected in the 2005 and judging the sources of Groundwater Pollution according to the distribution of land use, pollutant sources and concentration of typical components which exceed the Groundwater quality standard. The results will guide the following validation of Groundwater Pollution risk mapping and making the appropriate risk control measures.
Raj Mohan Singh - One of the best experts on this subject based on the ideXlab platform.
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identification of unknown Groundwater Pollution sources using artificial neural networks
Journal of Water Resources Planning and Management, 2004Co-Authors: Raj Mohan Singh, Bithin Datta, Ashu JainAbstract:The temporal and spatial characterization of unknown Groundwater Pollution sources remains an important problem in effective aquifer remediation and assessment of associated health risks. The characterization of contaminated source involves identifying spatially and temporally varying source locations, injection rates, and release periods. The proposed methodology exploits the universal function approximation capability of a feed forward multilayer artificial neural network (ANN) to identify the unknown Pollution sources. The ANN is trained to identify source characteristics based on simulated contaminant concentration measurement data at specified observation locations in the aquifer. These concentrations are simulated for a large set of randomly generated Pollution source fluxes. The back-propagation algorithm is used for training the ANN, with each corresponding set of source fluxes and resulting concentration measurement constituting a pattern for training the ANN. Performance of this methodology is evaluated for various data availability, measurement error, and source location scenarios. The developed ANNs are capable of identifying unknown Groundwater Pollution sources at multiple locations using erroneous measurement data.
Maogui Hu - One of the best experts on this subject based on the ideXlab platform.
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geographical detection of Groundwater Pollution vulnerability and hazard in karst areas of guangxi province china
Environmental Pollution, 2019Co-Authors: Jiaxin Wang, Maogui HuAbstract:Abstract Groundwater Pollution is a critical concern in karst areas. This study used the PLEIK (P: protective cover; L: land use; E: epikarst development; I: infiltration conditions; K: karst development) method to assess the vulnerability of Groundwater Pollution in Guangxi Province, which is the largest karst area in China. The Pollution sources and attenuation consist of Groundwater Pollution hazards. The attributions for the vulnerability and hazard were measured using the geodetector method from geographical information system in Luzhai County in Guangxi. The results confirmed that the vulnerability of Groundwater Pollution was higher in karst areas than in non-karst areas. In Guangxi, 36.35% of the Groundwater samples were polluted. A total of 49.73% of the areas in Luzhai County contained hazardous levels of Pollution. The risk assessment map, which interacted with the vulnerability and hazards, was 58.2% similar to the Groundwater Pollution distribution. The influence of the hazard on Groundwater Pollution was 2.6 times that of the vulnerability. It is crucial to control Pollution sources to prevent Groundwater Pollution.
Zengguang Yan - One of the best experts on this subject based on the ideXlab platform.
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Research on the process-based risk evaluation method of Groundwater Pollution for contaminated site
Water Supply, 2015Co-Authors: Li Ping Bai, Ye Yao Wang, Youya Zhou, Li Liu, Zengguang YanAbstract:The universal method to evaluate Groundwater Pollution risk with the site scale has not been established. The Groundwater Pollution risk is commonly evaluated by overlaying the results of Groundwater vulnerability and Pollution sources, while this method is inapplicable for the contaminated sites. Considering the current supervision demands of Groundwater Pollution in China, this paper suggested the risk evaluation method for contaminated sites. The present and forecasted Groundwater pollutant concentrations and the variation trend of Groundwater quality were used to get the risk classes of Groundwater Pollution. Chromium is one of the most common Groundwater contaminants found at industrially contaminated sites. A chromium residue disposal site in Baotou, China was selected as the study area. The Groundwater flow model and solute transport model were constructed by MODFLOW and MT3DMS. Based on the simulation results of the numerical model, the Groundwater Pollution risk of the contaminated site was divided into four classes, and the regulation measures of Groundwater Pollution were suggested. This study could provide guidance for the environmental supervision and management of contaminated sites.
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Research of early-warning method for regional Groundwater Pollution based on risk management
Huan jing ke xue= Huanjing kexue, 2014Co-Authors: Li Ping Bai, Ye Yao Wang, Youya Zhou, Li Liu, Yong-li Guo, Zengguang YanAbstract:Groundwater is the main source of water supply in China, and China's overall situation of Groundwater Pollution is not optimistic at present. Groundwater Pollution risk evaluation and early-warning are the effective measures to prevent Groundwater Pollution. At present, research of Groundwater early-warning method at home and abroad is still at the exploratory stage, and the sophisticated technology has not been developed for reference. This paper briefly described the data and technological demand of the early-warning method in different scales, and the main factors influencing the early-warning results of Groundwater Pollution were classified as protection performance of geological medium, characteristics of Pollution sources, Groundwater dynamics and Groundwater value. Then the main early-warning indexes of Groundwater Pollution were screened to establish the early-warning model of regional or watershed scale by the index overlay method. At last, the established early-warning model was used in Baotou plain, and the different early-warning grades were zoned by the model. The research results could provide scientific support for the local management department to protect the Groundwater resources.
