Comparison of first-order analysis and fuzzy set approach for the evaluation of imprecision in a pesticide groundwater pollution screening model

Catherine Freissinet; Michel Vauclin; Marc Erlich

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Comparison of first-order analysis and fuzzy set approach for the evaluation of imprecision in a pesticide groundwater pollution screening model

机译：农药地下水污染筛选模型不精确性评估的一级分析和模糊集方法比较

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摘要

The results of a screening model are always approximate, lying within an imprecision range. This paper for uses first on various types of imprecision in such modelling results, introduced either by subjective or state--of the--art estimates of coefficients or through measurement error, and second on the different types of methods able to take into account imprecision in the input parameters in order to evaluate imprecision in the simulation results. Emphasis is placed on the evaluation of imprecision in potential groundwater contamination by pesticides using the Attenua- tion Factor (AF) index, the Retardation Factor (RF) index and two different methods of uncertainty analysis' the classical first--order uncertainty analysis and a method based on the fuzzy set approach as an illustration of the basic ideas. The results of this comparison show that the fuzzy set approach is more suitable for evaluating imprecision in screening models than the classical technique. Furthermore, it furnishes a mean value imprecision range and adds a degree of confidence to this range.

机译：筛选模型的结果始终是近似的，处于不精确的范围内。本文首先在这种建模结果中使用各种类型的不精确性，通过对系数的主观估计或状态估计或通过测量误差引入，其次使用能够考虑不精确性的不同类型的方法在输入参数中，以评估仿真结果中的不精确性。重点放在使用衰减因子（AF）指数，延迟因子（RF）指数和两种不同的不确定性分析方法（经典的一阶不确定性分析和a）来评估农药对地下水潜在污染的不精确性。以模糊集方法为基础的方法作为基本思想的例证。比较结果表明，与经典技术相比，模糊集方法更适合于评估筛选模型中的不精确性。此外，它提供了平均值的不精确范围，并为该范围增加了置信度。

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来源
《Journal of Contaminant Hydrology》 |1999年第2期|p.21-43|共23页
作者
Catherine Freissinet; Michel Vauclin; Marc Erlich;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
原文格式 PDF
正文语种 eng
中图分类环境科学、安全科学;
关键词
Imprecision; Mathematical model; Fuzzy set; First-order analysis; Pesticide; Pollution;

机译：不精确;数学模型;模糊集;一阶分析;农药;污染;

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机译：用二元语义分析，使用集对分析的综合方法评估地下水质量 - 以二元语义分析为例：以中国广州盆地东部交通灌溉区为例
2. A FUZZY SET APPROACH FOR ASSESSING PARAMETER IMPRECISION IN GROUND WATER MODELING [J] . M. Z. EL-BESHRY Journal of engineering and applied science . 2007,第3期

机译：地下水建模参数估计的模糊集方法
3. A Modified Comprehensive Evaluation System of Groundwater Pollution Based on Fuzzy Set Theory [J] . Jianfang FU, Tao MIAO, Keqin WU 气象与环境研究：英文版 . 2021,第001期

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4. Risk evaluation of groundwater pollution by pesticides in China: a short review [C] . Y.Y. Zhao, Y.S. Pei Biennial ISEM Conference on Ecological Modelling for Global Change and Coupled Human and Natural System . 2013

机译：中国农药地下水污染风险评估：简要审查
5. Use of index methodologies for predicting or evaluating pesticide pollution of groundwater. [D] . Lee, Sa Ba. 1988

机译：使用指数方法来预测或评估农药对地下水的污染。
6. Risk Assessment of Groundwater Contamination: A Multilevel Fuzzy Comprehensive Evaluation Approach Based on DRASTIC Model [O] . Qiuwen Zhang, Xiaohong Yang, Yan Zhang, 2013

机译：地下水污染风险评估：基于DRASTIC模型的多层次模糊综合评价方法
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机译：科罗拉多州农业中农药使用的地下水污染潜力筛选方法

Comparison of first-order analysis and fuzzy set approach for the evaluation of imprecision in a pesticide groundwater pollution screening model

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