Review on Groundwater Nitrate Contamination: Causes, Effects and Remedies : A Guideline for Efficient Management Strategies
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概要
- 論文の詳細を見る
Literatures are reviewed to give an overview of the causes, effects and remedies of groundwater nitrate contamination. It is evident that groundwater nitrate contamination is a worldwide problem, which needs to be controlled because of its implications on human health. Many environmental, geological, hydrological and agricultural factors are associated with groundwater nitrate contamination. Anthropogenic sources, mainly due to application of excess nitrogen-based fertilizer to the agricultural fields, livestock manure, and uncontrolled septic tanks, cause nitrate contamination. As a remedy of the problem, treatment of contaminated water may be a solution, but treatment process is expensive and all nitrates cannot be removed from the water by any of the techniques. Therefore, rather than nitrate removal from contaminated water, protection of groundwater from potential contamination is preferred. A location specific management model is indeed needed, which establishes the relationship between the management indicators and the groundwater nitrate concentration. Literatures show that usual processes of managing nitrate-contaminated aquifers are: to identify the sources and causes of contamination and then to find out a management model either by aquifer vulnerability analyses or simulation technique. However, in most of the cases it is very difficult to construct a definite correlation between the groundwater nitrate concentrations and aquifer vulnerability potential indicators, which limits management of nitrate-contaminated aquifers using the vulnerability map. On the other hand, groundwater nitrate simulation is also complicated due to the complexity of nitrate leaching flux estimation. Most of the nitrate simulation models are physically-based, which require many input parameters, thus limiting their actual field application. On the contrary, there are very few conceptual models requiring less data, but their predictive capability with regard of assessing the impacts of alternative management practices is questionable. To overcome these problems we must have to find out alternative techniques. For instance, incorporating Artificial Neural Network (ANN) in vulnerability analyses or developing nitrate leaching model of conceptual quasi-physical type may be a solution.
- 日本雨水資源化システム学会の論文
著者
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Takeuchi Junichiro
Graduate School of Agricultural Science, Kyoto University
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Kawachi Toshihiko
Graduate School of Agricultural Science, Kyoto University
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Kawachi Toshihiko
Graduate School Of Agricultural Science Kyoto University
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Takeuchi Junichiro
Graduate School Of Agricultural Science Kyoto University
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Fazal Abul
Laboratory Of Groundwater Resources Department Of Regional Resources National Institute For Rural En
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Alam Badiul
Graduate School Of Agricultural Science Kyoto University
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Imaizumi Masayuki
Laboratory of Groundwater Resources, Department of Regional Resources, National Institute for Rural
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Ishida Satoshi
Laboratory of Groundwater Resources, Department of Regional Resources, National Institute for Rural
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Tsuchihara Takeo
Laboratory of Groundwater Resources, Department of Regional Resources, National Institute for Rural
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Tsuchihara Takeo
Laboratory Of Groundwater Resources Department Of Regional Resources National Institute For Rural En
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Imaizumi Masayuki
Laboratory Of Groundwater Resources Department Of Regional Resources National Institute For Rural En
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Ishida Satoshi
Laboratory Of Groundwater Resources Department Of Regional Resources National Institute For Rural En
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Kawachi Toshihiko
Graduate School Of Agricultural Kyoto University
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Fazal Md.
Laboratory of Groundwater Resources, Department of Regional Resources, National Institute for Rural Engineering
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