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Comprehensively Study On Assessment Of Regional Water Environmental Security And Estimation Of Economic Losses Caused By Water Environment Deterioration

Posted on:2008-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:W LiangFull Text:PDF
GTID:2189360215483991Subject:Hydrology and water resources
Abstract/Summary:PDF Full Text Request
Nowadays, Water environment security research has become a hot point on the area of eco-environment security research. The regional water environment plays important roles on regional industry programming, environmental programming, people's life etc. So it is necessary to know the state of entire regional water environment, to identify the main factors which influence regional water environment security, and to evaluate economic losses caused by water environment deterioration. That is the purpose of this article.Based on the theory of ecology, environment, hydrology, economics, and sustainable development, this article has a certain innovation in combining two methods: one is regional water environment security assessment. The other is estimating economic losses caused by regional water environment deterioration. And then these methods are well applied to Haihe Basin water environment evaluation. One of the main parts in the article is about research on regional water environment assessment. In this part, based on DPSIR conceptual model and hiberarchy system, a four-layer assessment index system of regional water environment security is set up, including many indicators, such as society, economy, environment and landscape ecology. Then, the index function method is selected to convert primal indexes into proper dimensionless indexes. At last, the Haihe Basin water environment security is evaluated, by the combination determining weights method based on maximizing deviations and improved multi-objective and multilevel fuzzy optimization model. The other main part of this article is about research on estimation economic losses caused by regional water environment deterioration. In this part, function relationships between water environment insecurity index and economic losses are established firstly. The results got by classification computing method are used to calibrate parameters of computing model and validate computing model. Then regional water environment insecurity indexes as input data of computing model are got by assessing regional water environment security. Then the economic losses caused by regional water environment deterioration can be calculated by the model. The assessment results of Haihe Basin water environment security show that the situation of Haihe Basin water environment security is very serious. According to state of water environment security from good to poor, the order of the second class areas of Haihe Basin are Luanhe and Jidongyanhai area, Haihebeixi area, Tuhaimajiahe area, and Haihenanxi area. And the order of the province-level administrative areas of Haihe basin are Neimenggu, Liaoning, Beijing, Shanxi, Tianjin, Shandong, Hebei, and Henan.The calculated results of economic losses caused by Haihe Basin water environment deterioration indicate that the losses are huge. In the year of 2000, the losses caused by Haihe Basin water environment deterioration are above 4.98% of GDP. The value of losses is about 58 billion. According to the economic losses (percent of GDP) from few to many, the order of the second class areas of Haihe Basin are Luanhe and Jidongyanhai area, Haihebeixi area, Tuhaimajiahe area, and Haihenanxi area. Similarly, the order of province-level administrative areas of Haihe Basin in regard to economic losses (percent of GDP) are Neimenggu, Liaoning, Beijing, Shanxi, Tianjin, Shandong, Hebei, and Henan. The order of economic losses is consistent with the order of regional water environment security assessment from good to bad.These results show that the situation of Haihe basin water environment security is very serious. It has no time to delay retorting this trend.
Keywords/Search Tags:Regional water environment security Assessment, DPSIR conceptual model, Combination determining weights method based on maximizing deviations, modified multi-objective and multilevel fuzzy optimization model
PDF Full Text Request
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