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基于GIS建模的海水环境质量可变模糊识别评价 被引量:4

Variable Fuzzy Recognition Model of Seawater Environmental Quality Based on GIS Modeling Technique
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摘要 基于对立统一与质量互变定理的可变模糊评价方法引入海水水质综合评价,构建基于对立统一与质量互变定理的海洋环境质量可变模糊评价模型,首先分析可变模糊评价方法的原理和方法,然后结合GIS栅格数据在表达空间信息方面具有的独特优势,以栅格数据为基础,利用地理信息系统空间叠置分析、地理信息系统空间建模等计算,建立基于多源栅格数据的海水环境可变模糊综合评价模型,得到莱州湾2004~2010年海水环境空间分布图。实践证明,该模型应用于海水水质综合评价是完全可行的,为海洋环境领域的多目标综合评价与决策提供了新的思路与方法。 Fuzzy comprehensive evaluation method is widely used in the comprehensive evaluation of seawater quality. But its model calculation is more complicated, and the model is difficult to self adjustment and self validation.This paper will introducethe unity of opposites and variable quality Exchange Theorem of fuzzy evaluation, and bulid a variable fuzzy recognition model of seawater environmental quality. Firstly, the principle and method of variable fuzzy evaluation method is analyzed, and then a variable fuzzy comprehensive evaluation model of seawater environment based on multi source raster data is established, based on the unique advantages of GIS raster data, geographic information system spatial overlay analysis, spatial modeling of geographic information system and so on. In the expression of spatial information, the spatial distribution of seawater environment in Laizhou Bay from 2004 to 2010 was obtained. It is proved that the model is feasible in the comprehensive evaluation of seawater quality, and provides a new method for the comprehensive evaluation and decision of multi objective in the field of marine environment. The monitoring results of many years show that the water quality of Laizhou Bay is poor as a whole, the comprehensive evaluation grade value is between 1.60~3.32, the content of dissolved inorganic nitrogen is generally higher, the evaluation grade is decreasing from west and southwest to the northeast, and is fanning out. There is a small range in the central area of the Laizhou Bay estuary, the spatial distribution maps showed obvious protrusions.
出处 《地理科学》 CSSCI CSCD 北大核心 2017年第8期1251-1258,共8页 Scientia Geographica Sinica
基金 国家自然科学基金(41501594 41771159) 中国博士后科学基金面上基金(2014M561248)资助~~
关键词 可变模糊识别模型 海水环境质量评价 GIS Variable Fuzzy Recognition Model seawater quality evaluation GIS
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