Improvement of water quality in the Pearl River Estuary, China: a long-term (2008–2017) case study of temporal-spatial variation, source identification and ecological risk of heavy metals in surface water of Guangzhou

被引:0
|
作者
Yan-ping Zhao
Rui Wu
Jin-li Cui
Shu-chai Gan
Jia-chuan Pan
Peng-ran Guo
机构
[1] Guangdong Academy of Sciences,Guangdong Provincial Key laboratory of Emergency Test for Dangerous Chemicals, Guangdong Provincial Engineering Research Center for Online Monitoring of Water Pollution, Guangdong Institute of Analysis
[2] Guangzhou University,Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering
关键词
Heavy metals; Pearl River Estuary; Surface water; Temporal-spatial variation; Ecological risk;
D O I
暂无
中图分类号
学科分类号
摘要
A series of environmental protective policies have been taken recently in the Pearl River Estuary (PRE) to alleviate water pollution; however, their influence on the reduction of heavy metals in estuarine water has not been known. This study selected Guangzhou as a representative city in the PRE and collected estuarine water monthly from 2008 to 2017 to track the variation of As, Hg, Pb, Cd, Cu, Zn, and Se. During the last decade, the high time-resolved record showed that the concentration of Hg, Pb, Cd, Cu, and Zn in estuarine water reduced by 39.5%, 91.0%, 86.2%, 74.6%, and 97.3%, respectively. However, the concentration of As kept in a stable range (1.89–2.69 μg L−1) and Se (0.17–0.65 μg L−1) increased slightly. The principal component analysis (PCA) and absolute principal component scores-multiple linear regression (APCS-MLR) results suggested that the upstream industrial effluents were major sources for Hg (45.5–92.7%), Pb (47.3–100%), Cd (42.0–90.6%), Cu (85.5–100%), and Zn (100%) and the geogenic source was major origin for As (84.6–98.3%) and Se (0–67.5%). The risk quotient of Hg, Pb, Cd, Cu, and Zn to aquatic organisms largely decreased from 0.03, 0.59, 0.03, 2.06, and 0.26 in 2008 to 0.02, 0.05, 0.006, 0.52, and 0.007 in 2017, respectively. The effective control of heavy metal pollution in the study area can be primarily due to the relocation of hundreds of polluting factories during the last decade.
引用
收藏
页码:21084 / 21097
页数:13
相关论文
共 42 条
  • [21] Spatial Variation and Risk Assessment of Arsenic and Heavy Metals in Surface Water and Suspended Particulate Matter in Tail Reaches of the Yellow River, China
    Zhigao Sun
    Jing Li
    Liping Tian
    Bingbing Cehn
    Xingyun Hu
    [J]. Chinese Geographical Science, 2021, 31 : 181 - 196
  • [22] Spatial Variation and Risk Assessment of Arsenic and Heavy Metals in Surface Water and Suspended Particulate Matter in Tail Reaches of the Yellow River, China
    SUN Zhigao
    LI Jing
    TIAN Liping
    CEHN Bingbing
    HU Xingyun
    [J]. Chinese Geographical Science, 2021, (01) - 196
  • [23] Spatial Variation and Risk Assessment of Arsenic and Heavy Metals in Surface Water and Suspended Particulate Matter in Tail Reaches of the Yellow River, China
    SUN Zhigao
    LI Jing
    TIAN Liping
    CEHN Bingbing
    HU Xingyun
    [J]. Chinese Geographical Science, 2021, 31 (01) : 181 - 196
  • [24] Temporal and spatial changes of water quality in intensively developed urban rivers and water environment improvement: a case study of the Longgang River in Shenzhen, China
    Zhang, Xupo
    Cheng, Gong
    Xu, Shengjun
    Bi, Yeliang
    Jiang, Cancan
    Ma, Shuanglong
    Wang, Dongsheng
    Zhuang, Xuliang
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (44) : 99454 - 99472
  • [25] Temporal and spatial changes of water quality in intensively developed urban rivers and water environment improvement: a case study of the Longgang River in Shenzhen, China
    Xupo Zhang
    Gong Cheng
    Shengjun Xu
    Yeliang Bi
    Cancan Jiang
    Shuanglong Ma
    Dongsheng Wang
    Xuliang Zhuang
    [J]. Environmental Science and Pollution Research, 2023, 30 : 99454 - 99472
  • [26] Health risk assessment of heavy metals in wild fish and seasonal variation and source identification of heavy metals in sediments: a case study of typical urban river in Xi’an, China
    Jiale Zhang
    Tao Yang
    Ning Wang
    Xingyu Luo
    Haiyan Li
    Yilin Liao
    [J]. Environmental Science and Pollution Research, 2024, 31 : 8898 - 8916
  • [27] Health risk assessment of heavy metals in wild fish and seasonal variation and source identification of heavy metals in sediments: a case study of typical urban river in Xi'an, China
    Zhang, Jiale
    Yang, Tao
    Wang, Ning
    Luo, Xingyu
    Li, Haiyan
    Liao, Yilin
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (06) : 8898 - 8916
  • [28] Evaluation of spatial and temporal variation in stream water quality by multivariate statistical techniques: A case study of the Xiangxi River basin, China
    Wang, Xingzhong
    Cai, Qinghua
    Ye, Lin
    Qu, Xiaodong
    [J]. QUATERNARY INTERNATIONAL, 2012, 282 : 137 - 144
  • [29] Contaminant occurrence, water quality criteria and tiered ecological risk assessment in water: A case study of antifouling biocides in the Qiantang River and its estuary, Eastern China
    Luo, Hai-Wei
    Jiang, Jian-Ming
    Wang, Xun
    Li, Minjie
    Ding, Jin-Jian
    Hong, Wen-Jun
    Guo, Liang-Hong
    [J]. MARINE POLLUTION BULLETIN, 2023, 194
  • [30] Geochemical characteristics of dissolved heavy metals in Zhujiang River, Southwest China: spatial-temporal distribution, source, export flux estimation, and a water quality assessment
    Zeng, Jie
    Han, Guilin
    Wu, Qixin
    Tang, Yang
    [J]. PEERJ, 2019, 7