School of Energy and Environment, Southeast University, Nanjing 210096, China.
School of Environment and Municipal Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
Int J Environ Res Public Health. 2020 Jan 3;17(1):334. doi: 10.3390/ijerph17010334.
Eutrophication has become one of the most serious problems threatening the lakes/reservoirs in China over 50 years. Evaluation of eutrophication is a multi-criteria decision-making process with uncertainties. In this study, a cloud matter element (CME) model was developed in order to evaluate eutrophication level objectively and scientifically, which incorporated the randomness and fuzziness of eutrophication evaluation process. The elements belonging to each eutrophication level in the CME model were determined by means of certainty degrees through repeated simulations of cloud model with reasonable parameters of expectation , entropy , and hyper-entropy . The weights of evaluation indicators were decided by a combination of entropy technology and analytic hierarchy process method. The neartudes of water samples to each eutrophication level of lakes/reservoirs in the CME model were generated and the eutrophication levels were determined by maximum neartude principal. The proposed CME model was applied to evaluate eutrophication levels of 24 typical lakes/reservoirs in China. The results of the CME model were compared with those of comprehensive index method, matter element model, fuzzy matter element model, and cloud model. Most of the results obtained by the CME model were consistent with the results obtained by other methods, which proved the CME model is an effective tool to evaluate eutrophication.
富营养化已成为中国 50 多年来威胁湖泊/水库的最严重问题之一。富营养化评价是一个具有不确定性的多准则决策过程。本研究旨在开发一种云物元（CME）模型，以客观、科学地评价富营养化水平，该模型综合考虑了富营养化评价过程中的随机性和模糊性。CME 模型中属于每个富营养化水平的元素通过云模型的多次模拟，利用合理的期望、熵和超熵参数来确定其属于每个富营养化水平的确定性程度。评价指标的权重由熵技术和层次分析法相结合确定。通过最大贴近度主原则生成水样对湖泊/水库各富营养化水平的贴近度，从而确定富营养化水平。将提出的 CME 模型应用于评价中国 24 个典型湖泊/水库的富营养化水平。将 CME 模型的结果与综合指数法、物元模型、模糊物元模型和云模型的结果进行了比较。CME 模型的结果与其他方法的结果大多一致，证明了 CME 模型是一种有效的富营养化评价工具。
