The characteristics of rainfall runoff pollution and its driving factors in Northwest semiarid region of China - A case study of Xi'an

被引:44
作者
Hu, Dexiu [1 ]
Zhang, Cong [1 ]
Ma, Bo [2 ]
Liu, Zichen [1 ]
Yang, Xiao [2 ]
Yang, Liu [2 ]
机构
[1] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China
[2] Power Construct Corp China, Northwest Engn Corp Ltd, Xian, Peoples R China
关键词
Rainfall runoff; Pollution assessment; Trend; Logarithmic Mean Divisia Index (LMDI); STORMWATER RUNOFF; RISK-ASSESSMENT; WATER-QUALITY; HEAVY-METALS; ROAD; DECOMPOSITION; ENVIRONMENT; EVOLUTION; EMISSIONS; SURFACES;
D O I
10.1016/j.scitotenv.2020.138384
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the effective control of point source pollution, rainfall runoff pollution has become the main source of water pollution in Xi'an. Understanding the characteristics and driving factors of rainfall runoff pollution would provide theoretical foundation for urban rainfall runoff pollution control. In this study, a total of 32 rainwater samples, 604 roof runoff samples and 608 road runoff samples obtained from literature and a total of 35 rainwater samples, 127 roof runoff samples and 70 road runoff samples collected by our group were mixed to analyze the rainfall runoff pollution from 2008 to 2019. The Mann-Kendall and Logarithmic Mean Divisia Index (LMDI) method were used to determine the trend of pollution and the driving factors of water quality changes. The results showed that the major pollutant from rainwater was nitrogen, while the main pollutants from roof and road run-off were COD and SS. The rain water quality during the study period was "clean to slightly polluted". The roof runoff quality of most years (67%) was "clean to slightly polluted". The road runoff quality was poor: 22% was "moderately polluted", and 45% was "heavily polluted". The concentration of pollutants except COD in rainwater showed a decreasing trend, while the trend of pollutants in roof and road runoff was not completely consistent with that in rainwater. NH3-N showed strong positive correlation with TN in roof runoff, which indicated common sources of these pollutants. There was a significant correlation between SS and COD in road runoff, and between SS and TP in roof runoff, suggesting SS was an important carrier of COD and TP. Technology innovation was the dominant factor affecting water quality, followed by industrial structure. Economic development and population scale contribute negatively to water quality improvement, and there was a sharp increase in the population scale effect in 2017. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
相关论文
共 50 条
[41]   Spatiotemporal Variation and Driving Factors Analysis of Habitat Quality: A Case Study in Harbin, China [J].
Qi, Yuxin ;
Hu, Yuandong .
LAND, 2024, 13 (01)
[42]   Is the impact of atmospheric microplastics on human health underestimated? Uncertainty in risk assessment: A case study of urban atmosphere in Xi'an, Northwest China [J].
Liu, Ze ;
Huang, Qian'en ;
Chen, Long ;
Li, Jiahui ;
Jia, Hanzhong .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 851
[43]   Impact of Industrial Pollution of Cadmium on Traditional Crop Planting Areas and Land Management: A Case Study in Northwest China [J].
Song, Yu ;
Li, Wenlong ;
Xue, Yating ;
Zhou, Huakun ;
Wang, Wenying ;
Liu, Chenli .
LAND, 2021, 10 (12)
[44]   Contribution of Satellite-Based Precipitation in Hydrological Rainfall-Runoff Modeling: Case Study of the Hammam Boughrara Region in Algeria [J].
Bemmoussat, Abdelkader ;
Korichi, Khaled ;
Baahmed, Djelloul ;
Maref, Noureddine ;
Djoukbala, Omar ;
Kalantari, Zahra ;
Bateni, Sayed M. .
EARTH SYSTEMS AND ENVIRONMENT, 2021, 5 (04) :873-881
[45]   Long-term spatiotemporal variations of ammonia in the Yangtze River Delta region of China and its driving factors [J].
Xue, Jingkai ;
Xing, Chengzhi ;
Li, Qihua ;
Wang, Shanshan ;
Hu, Qihou ;
Zhu, Yizhi ;
Liu, Ting ;
Zhang, Chengxin ;
Liu, Cheng .
JOURNAL OF ENVIRONMENTAL SCIENCES, 2025, 150 :202-217
[46]   Outdoor thermal comfort of urban river landscape belt in China's cold region: A case study of Xi'an [J].
Liu, Limin ;
Xia, Bo ;
Zhang, Linrui .
URBAN CLIMATE, 2023, 48
[47]   Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China [J].
Zhang, Maomao ;
Chen, Weigang ;
Cai, Kui ;
Gao, Xin ;
Zhang, Xuesong ;
Liu, Jinxiang ;
Wang, Zhiyuan ;
Li, Deshou .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (22)
[48]   Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China [J].
Ge, Yi ;
Zhang, Haibo ;
Dou, Wen ;
Chen, Wenfang ;
Liu, Ning ;
Wang, Yuan ;
Shi, Yulin ;
Rao, Wenxin .
SUSTAINABILITY, 2017, 9 (01)
[49]   Risk Assessment of Geological Hazards in the Alpine Gorge Region and Its Influencing Factors: A Case Study of Jiulong County, China [J].
Zhang, Xin ;
Jiang, Lijun ;
Deng, Wei ;
Shu, Zhile ;
Gao, Meiben ;
Liu, Guichuan .
SUSTAINABILITY, 2024, 16 (05)
[50]   Hydrological Characteristics of Ordovician Karst Top in a Deep Region and Evaluation of Its Threat to Coal Mining: A Case Study for the Weibei Coalfield in Shaanxi Province, China [J].
Li, Tao ;
Zhang, Jiarui ;
Gao, Ying ;
Cao, Xinqi ;
Liu, Hongyang ;
Zhang, Peng ;
Yang, Junwei .
GEOFLUIDS, 2020, 2020