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基于熵权TOPSIS模型在入河排水口水质综合评价中的应用
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Abstract:
入河排水口水质综合评价是地方政府水环境保护和管理决策关注的重要问题，TOPSIS评价法虽然能够确定监测点位的水质类别并根据水质优劣情况进行排序，但评价赋权过程存在较强的主观性，从而影响评价结果。为了使计算过程变简洁、客观，建立了基于熵权的TOPSIS水质综合评价模型，对决策矩阵的正向化和标准化，使决策矩阵的构建步骤简化，同时采用信息熵进行客观赋权，减少主观赋权带来的误差。以2017年独流减河入河排水口监测点位水质现状为例的评价结果显示，该模型不仅具有更好的实用性，而且对COD、NH3-N和总磷这三项常规监测指标具有较好的普适性，实现了对入河排水口水质进行实时有效的评价。
River outfall water quality assessment is an important issue for the local government in water environmental protection and management decision. TOPSIS model is applied widely in water quality assessment. Not only the water quality grade is determined by this model, but also ranked the objects in order. However, there is relatively strong subjectivity in the weight assignment process. And it affects the evaluation results. Water quality assessment model based on the entropy weight TOPSIS is built to make the results concise and objective. In order to simplify construction steps of the decision matrix, it was normalized and standardized. The informative weighting was introduced into the TOPSIS model to reduce errors caused of subjective weighting. The approach is applied to the water quality assessment of the river outfalls of Duliujian River in Tianjin in 2017. Results suggest that it has good practicability and universality for the COD, NH3-N and total phosphorus. This model realizes the real-time and effective assessment for water quality of the river outfalls.
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