Journal of Tropical Oceanography ›› 2023, Vol. 42 ›› Issue (1): 182-191.doi: 10.11978/2022120CSTR: 32234.14.2022120

• Marine Environmental Protection • Previous Articles     Next Articles

Identification and quantitative analysis of key controlling factors of water quality response to human activities in the Daya Bay, China

JIANG Xun1(), WU Wen1,2(), SONG Dehai3   

  1. 1. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
    2. Institute of Marine Development of Ocean University of China, Qingdao 266100, China
    3. Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao, 266100, China
  • Received:2022-05-25 Revised:2022-07-06 Online:2023-01-10 Published:2022-07-06
  • Contact: WU Wen. emails: wenwu1985@ouc.edu.cn
  • Supported by:
    National Natural Science Foundation of China(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 which results in the deterioration of the ecological environment. Based on the survey and statistical data from 1995 to 2014 in the 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 the 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 the 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 6.19%, 5.07% and 17.51%, respectively, of which the proportion of industrial wastewater discharge is the highest and has the greatest impact on the Daya Bay. Therefore, human activities were the main cause for the deterioration of water quality in the 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 the Daya Bay.

Key words: Daya Bay, water quality, indicators identification, quantitative analysis, human activities