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海湾健康的概念和评估:数值模型在乐清湾健康评估中的作用
引用本文:周大成,孙志林,黄煜,黄赛花,李莉. 海湾健康的概念和评估:数值模型在乐清湾健康评估中的作用[J]. 海洋学报(英文版), 2016, 35(8): 3-15. DOI: 10.1007/s13131-016-0899-5
作者姓名:周大成  孙志林  黄煜  黄赛花  李莉
作者单位:浙江大学海洋学院, 杭州, 310058, 中国,浙江大学海洋学院, 杭州, 310058, 中国,浙江大学海洋学院, 杭州, 310058, 中国,浙江大学海洋学院, 杭州, 310058, 中国,浙江大学海洋学院, 杭州, 310058, 中国;近海海洋环境科学国家重点实验室(厦门大学), 厦门, 361005, 中国
基金项目:The Key National Project under contract No. 009zx07424-001; Doctoral Fund of Ministry of Education of China under contract No. 2012101110108; MEL Visiting Fellowship Program; the Fundamental Research Funds for the Central Universities; Zhejiang Provincial Natural Science Foundation of China under contract No. LQ16D060002.
摘    要:本文引入数值化海湾健康理论,提出三维数值化海湾健康评估方法以评估和预测海湾健康动态。选用五个指标组用以构建数值化海湾健康指标体系,包括地理指标组、水动力和泥沙动态指标组、生态指标组、水质指标组和社会经济指标组,用以评估自然过程和社会经济对海湾健康的影响。每一指标组中包括不同数量的二级指标。根据二级指标的不同重要性,运用层次分析法对其赋予不同的权重。指标的数据来源于三维数值模型和观测数据。三维数值模型能够为海湾健康评估提供更加全面、完整和详细的数据,并且可以提供预测数据。以乐清湾为例,数值化海湾健康评估方法成功应用于其健康评估过程。基于评估结果,乐清湾口门处表层水体的地理环境是健康的,水动力过程和泥沙动态过程属于亚健康状态,水质和生态环境处于不健康状态。总体而言,乐清湾的海湾健康评估结果为亚健康状态。

关 键 词:数值化海湾健康理论  数值模型  数值化指标体系  三维评估方法  乐清湾
收稿时间:2015-07-15
修稿时间:2016-03-25

Concept and evaluation of bay health: the role of numerical model in the Yueqing Bay, China
ZHOU Dacheng,SUN Zhilin,HUANG Yu,HUANG Saihua and LI Li. Concept and evaluation of bay health: the role of numerical model in the Yueqing Bay, China[J]. Acta Oceanologica Sinica, 2016, 35(8): 3-15. DOI: 10.1007/s13131-016-0899-5
Authors:ZHOU Dacheng  SUN Zhilin  HUANG Yu  HUANG Saihua  LI Li
Affiliation:1.Ocean College of Zhejiang University, Hangzhou 310058, China2.Ocean College of Zhejiang University, Hangzhou 310058, China;State Key Laboratory of Marine Environmental Science (Xiamen University), Xiamen 361005, China
Abstract:To better evaluate the three-dimensional bay health and predict the dynamic bay health conditions, a concept of numerical bay health was introduced and a method of numerical bay health evaluation (NBHE) was developed. To support the NBHE method, a numerical bay health index (NBHI) system was constructed, which assess the natural and socio-economic effects on the entire bay. Five index groups are combined to formulate the NBHI, including geometry, hydrodynamics and sediment dynamics, bio-ecology, water quality and socio-economy. Each group has different number of indices selected and weighted using AHP method according to their importance. Data were mainly synthesized from a variety of numerical models together with monitoring programs, which provide superior to other approaches in discriminating data integrity and predicting data in future. The NBHE method using NBHI system was applied in the Yueqing Bay during spring tide in April 2007. According to the NBHE results, Sta. A, at the surface level of the estuarine mouth, has a healthy geometry condition, sub-healthy hydrodynamic and sediment dynamic condition, and unhealthy water quality and bioecology conditions. The integrated healthy score at Sta. A indicates its sub-healthy condition.
Keywords:numerical bay health concept  numerical model  numerical index system  three dimensional evaluation  Yueqing Bay
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