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大亚湾水质对人类活动响应的关键控制指标识别和量化解析

1. 1．中国海洋大学，海洋与大气学院，山东 青岛 266100；

2．中国海洋大学，海洋发展研究院，山东 青岛 266100；

3．中国海洋大学，物理海洋教育部重点实验室，山东 青岛 266100

• 收稿日期:2022-05-25 修回日期:2022-06-26 出版日期:2022-07-06 发布日期:2022-07-06
• 通讯作者: 武文
• 基金资助:

国家自然科学基金项目（No. 41806132

Identification and quantitative analysis of key controlling indicators of water quality response to human activities in Daya Bay

JIANG Xun1, WU Wen*1,2, SONG Dehai3

1. 1．College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100；

2．Institute of Marine Development of Ocean University of China, Qingdao 266100；

3．Key Laboratory of Physical Oceanography, Ministry of Education, China, Qingdao 266100

• Received:2022-05-25 Revised:2022-06-26 Online:2022-07-06 Published:2022-07-06
• Contact: Wen WU
• Supported by:

National Natural Science Foundation of China（No. 41806132）

Abstract: With the rapid development of economy and population in coastal areas, the water quality of the main bays around the world has been affected by human activities resulting in the deterioration of the ecological environment. Based on the survey and statistical data from 1995 to 2014 in Daya Bay, Guangdong Province, China, coefficient of variation method, bivariate correlation analysis, principal component analysis and linear regression analysis were used to identify the key controlling indicators from the anthropogenic pressure indicators and coastal carrying indicators, which have significant impact on the water quality of Daya Bay. The proportion of the carrying capacity of each important controlling factor was used to quantify the water quality effect. The results showed that the key controlling indicators contained three anthropogenic pressure indicators, including land reclamation, domestic sewage discharge and industrial wastewater discharge. The key controlling indicators had remarkable variation and greater loading values, and they were significantly correlated to the CDIN which was the main pollutant in Daya Bay. The quantitative assessment results showed that the carrying capacity of key controlling indicators (land reclamation, domestic sewage discharge and industrial wastewater discharge) were 30.5%, 23.8% and 45.7% respectively, of which the proportion of industrial wastewater discharge is the highest and has the greatest impact on the Bay. Therefore, human activities were the main reason for the deterioration of water quality in Daya Bay. These results illustrated that the control of land-based pollution and the regulation of the coastline should be implemented to promote the sustainable development of social economy around Daya Bay.