Environmental risk analysis of surface water based on multi-source data in Tianjin Binhai New Area, China

被引:2
作者
Qiao, Yue [1 ]
Guo, Qiaozhen [1 ]
Wu, Xiaoxu [2 ]
Wu, Huanhuan [1 ]
Zhu, Li [1 ]
He, Yunhai [1 ]
机构
[1] Tianjin Chengjian Univ, Sch Geol & Geomat, Tianjin 300384, Peoples R China
[2] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
关键词
Gaofen-6; image; Risk source; Risk receptor; Analytic hierarchy process; Surface water environment; POLLUTION; REGION; MODEL; BASIN; IDENTIFICATION; GROUNDWATER; RESERVOIR; LAKE;
D O I
10.1007/s10661-021-09273-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The study on environmental risk of surface water is of great practical significance for the ecological security of water environment and water pollution treatment, and it can provide a certain reference basis for risk prevention and control of water environment. The Tianjin Binhai New Area faces severe water shortage and serious water pollution, but few studies have been reported on surface water environment risk in this area. Therefore, in this study, based on Gaofen-6 remote sensing image, the factors including land use, landscape index, population density, and enterprise source are integrated to develop the evaluation model of surface water environment risk index. It is developed using analytic hierarchy process from two aspects of hazard of risk source and sensitivity of risk receptor. The comprehensive risk of Tianjin Binhai New Area is classified using mean standard deviation method. The result indicates that the developed model could better quantify the impact of various factors on the surface water environment, and comprehensively and accurately depict the spatial distribution of surface water environmental risk. Generally, the areas of higher and high risk grades are mainly concentrated on the west of Binhai Street, Beitang Street, and Hangzhou Road Street. The risk grade in most other areas is medium, and it is low in coastal and northernmost areas. This study not only clarifies the distribution of surface water environmental risks in Binhai New Area, but also develops an evaluation model, which can provide reference for the evaluation of water environmental risks in other areas. Through the investigation and research on the current situation of water pollution, social and economic development, and other factors of the streets and towns in Binhai New Area, it is found that in recent years, the urbanization of Binhai Street, Beitang Street, and Hangzhou Road Street has developed rapidly, and the intensity of human activities is high, which has a great impact on the water environment. The research results are consistent with the actual situation, which can provide theoretical and technical support for the prevention, control, and management of water environmental risks in Binhai New Area.
引用
收藏
页数:15
相关论文
共 39 条
  • [1] Hybrid tool for occupational health risk assessment and fugitive emissions control in chemical processes based on the source, path and receptor concept
    Alhamdani, Yousef A.
    Hassim, Mimi H.
    Shaik, Salim M.
    Jalil, Aishah A.
    [J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2018, 118 : 348 - 360
  • [2] River Water Pollution Status and Water Policy Scenario in Ethiopia: Raising Awareness for Better Implementation in Developing Countries
    Awoke, Aymere
    Beyene, Abebe
    Kloos, Helmut
    Goethals, Peter L. M.
    Triest, Ludwig
    [J]. ENVIRONMENTAL MANAGEMENT, 2016, 58 (04) : 694 - 706
  • [3] Storm water contamination and its effect on the quality of urban surface waters
    Baralkiewicz, Danuta
    Chudzinska, Maria
    Szpakowska, Barbara
    Swierk, Dariusz
    Goldyn, Ryszard
    Dondajewska, Renata
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2014, 186 (10) : 6789 - 6803
  • [4] Bujnovsky Radoslav, 2016, Ekologia (Bratislava), V35, P66, DOI 10.1515/eko-2016-0005
  • [5] Study on the accumulation characteristics and conduction trend of water environment risk from Taizihe River Basin, China
    Chen, Qiuying
    Lu, Zhengshan
    Zhang, Xinyi
    Wang, Qi
    Xin, Shigang
    [J]. ECOTOXICOLOGY, 2019, 28 (06) : 619 - 630
  • [6] Development of a relative risk model for evaluating ecological risk of water environment in the Haihe River Basin estuary area
    Chen, Qiuying
    Liu, Jingling
    Ho, Kin Chung
    Yang, Zhifeng
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2012, 420 : 79 - 89
  • [7] Quantifying the connections-linkages between land-use and water in the Kathmandu Valley, Nepal
    Davids, Jeffrey C.
    Rutten, Martine M.
    Shah, Ram Devi T.
    Shah, Deep N.
    Devkota, Nischal
    Izeboud, Petra
    Pandey, Anusha
    van de Giesen, Nick
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (05)
  • [8] The Spatial Distributions and Variations of Water Environmental Risk in Yinma River Basin, China
    Di, Hui
    Liu, Xingpeng
    Zhang, Jiquan
    Tong, Zhijun
    Ji, Meichen
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (03)
  • [9] Distribution and human health risk assessment of antibiotic residues in large-scale drinking water sources in Chongqing area of the Yangtze River
    Feng, Li
    Cheng, Yanru
    Zhang, Yiyi
    Li, Ziwei
    Yu, Yichang
    Feng, Lei
    Zhang, Sheng
    Xu, Linji
    [J]. ENVIRONMENTAL RESEARCH, 2020, 185
  • [10] Guo Shao-zhuang, 2018, Yingyong Shengtai Xuebao, V29, P4080, DOI 10.13287/j.1001-9332.201812.018