Impact of rapid urbanization on the threshold effect in the relationship between impervious surfaces and water quality in shanghai, China

被引:30
作者
Wang, Zhonghao [1 ]
Zhang, Sen [1 ]
Peng, Yuru [1 ]
Wu, Chenhao [2 ]
Lv, Yongpeng [2 ]
Xiao, Kexin [3 ]
Zhao, Jun [1 ]
Qian, Guangren [1 ]
机构
[1] Shanghai Univ, Dept Environm Sci & Engn, 99 Shangda Rd, Shanghai 200444, Peoples R China
[2] Shanghai Municipal Engn Design Inst Grp Co Ltd, Shanghai 200092, Peoples R China
[3] Shanghai Ind Dev Res & Appraisal Ctr, 96 Guokang Rd, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Impervious surfaces; Segmented regression; Threshold effect; Water quality; Rapid urbanization; LAND-USE; URBAN-DEVELOPMENT; CLIMATE CHANGES; RIVER-BASIN; AREAS; ENVIRONMENT; MANAGEMENT; POLLUTION; RUNOFF; GROWTH;
D O I
10.1016/j.envpol.2020.115569
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The threshold effect in the relationship between impervious surfaces and water quality has been a focus in past decades, but little attention has been paid to how the threshold effect changes during a rapid urbanization period. This study reveals the temporal variation of threshold effect in the relationship between the percentage of total impervious area (PTIA) and water quality indicators in a reticular river network area in Shanghai, China. The PTIA was surveyed and defined using the ISC method (impervious surface coefficients). A segmented regression model was used to disclose the non-linear relationship between PTIA and water quality. It is confirmed that the threshold effect was different in terms of water quality indicators, but the effect size became smaller as the threshold increased with urbanization level during the period of 1989-2010. Meteorological conditions make influence on the threshold effect, it can be found that the effect is more significant under higher air temperature conditions, while in the lower temperature situation, there is no significant threshold effect. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 58 条
[1]   Impervious surface coverage - The emergence of a key environmental indicator [J].
Arnold, CL ;
Gibbons, CJ .
JOURNAL OF THE AMERICAN PLANNING ASSOCIATION, 1996, 62 (02) :243-258
[2]   A procedure for quantifying runoff response to spatial and temporal changes of impervious surface in Qinhuai River basin of southeastern China [J].
Bian, G. D. ;
Du, J. K. ;
Song, M. M. ;
Xu, Y. P. ;
Xie, S. P. ;
Zheng, W. L. ;
Xu, C. -Y. .
CATENA, 2017, 157 :268-278
[3]   Impervious surfaces and water quality: A review of current literature and its implications for watershed planning [J].
Brabec, E ;
Schulte, S ;
Richards, PL .
JOURNAL OF PLANNING LITERATURE, 2002, 16 (04) :499-514
[4]   Effects of water temperature and dissolved oxygen on daily feed consumption, feed utilization and growth of channel catfish (Ictalurus punctatus) [J].
Buentello, JA ;
Gatlin, DM ;
Neill, WH .
AQUACULTURE, 2000, 182 (3-4) :339-352
[5]   Impervious surface as an indicator of pH and specific conductance in the urbanizing coastal zone of New Jersey, USA [J].
Conway, Tenley M. .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2007, 85 (02) :308-316
[6]   RESPONSE OF WATER TEMPERATURES TO METEOROLOGICAL CONDITIONS [J].
EDINGER, JE ;
DUTTWEILER, DW ;
GEYER, JC .
WATER RESOURCES RESEARCH, 1968, 4 (05) :1137-+
[7]   chngpt: threshold regression model estimation and inference [J].
Fong, Youyi ;
Huang, Ying ;
Gilbert, Peter B. ;
Permar, Sallie R. .
BMC BIOINFORMATICS, 2017, 18
[8]   Driving forces of impervious surface in a world metropolitan area, Shanghai: threshold and scale effect [J].
Fu, Bingbing ;
Peng, Yuru ;
Zhao, Jun ;
Wu, Chenhao ;
Liu, Qiuxia ;
Xiao, Kexin ;
Qian, Guangren .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2019, 191 (12)
[9]  
Fukushima T, 2000, HYDROL PROCESS, V14, P593, DOI 10.1002/(SICI)1099-1085(20000228)14:3<593::AID-HYP956>3.0.CO
[10]  
2-O