Low impact development practices mitigate urban flooding and non-point pollution under climate change

被引:55
作者
Yang, Wenyu [3 ]
Zhang, Jin [1 ,2 ]
Krebs, Peter [3 ]
机构
[1] Hohai Univ, Yangtze Inst Conservat & Dev, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi, Peoples R China
[3] Tech Univ Dresden, Inst Urban & Ind Water Management, D-01062 Dresden, Germany
基金
中国国家自然科学基金;
关键词
Low impact development; General circulation model; Climate change; Urban flooding; Stormwater management; Water quality modeling; SPONGE CITY CONSTRUCTION; VOLUME CAPTURE RATIO; STORMWATER MANAGEMENT; LAND-USE; PERFORMANCE; GREEN; RUNOFF; PRECIPITATION; URBANIZATION; OPTIMIZATION;
D O I
10.1016/j.jclepro.2022.131320
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change-induced extreme rainfall events exacerbate the failure in stormwater hydraulic and water quality management. As a promising alternative for stormwater management, the low impact development (LID) performance under the impact of climate change was analyzed in this study. The hydraulic and water quality models were integrated and the hydrological inputs were derived from downscaled general circulation model (GCM) projections. Results demonstrated that the LID practices in the given areas mitigated runoff volume, peak flow, and non-point pollution by 45-80%, 39-60%, and 31-82%, respectively. Scenario analysis showed that the LID hydraulic performance declined under all three future climate scenarios (RCP 2.6, RCP 4.5, and RCP 8.5), while the LID water quality performance fluctuated among different climate patterns. Uncertainty analysis suggested that the climate change caused wide-range uncertainties on LID performance, the uncertainty of LID water quality performance was larger than that of LID hydraulic performance. Spatial analysis indicated that the LID performance was spatially heterogeneous under climate change, and the heterogeneity was related to the land cover distribution of the given area. In addition, sensitivity analysis suggested that the impact of climate change on the short-term performance of LID practices was stronger than that on the long-term performance. Accordingly, the methods and findings provided herein could assist sustainable urban water management by investigating the LID performance under climate change.
引用
收藏
页数:15
相关论文
共 91 条
[1]   Evaluation and Optimization of Low Impact Development Designs for Sustainable Stormwater Management in a Changing Climate [J].
Abduljaleel, Yasir ;
Demissie, Yonas .
WATER, 2021, 13 (20)
[2]   Modelling carbon emission intensity: Application of artificial neural network [J].
Acheampong, Alex O. ;
Boateng, Emmanuel B. .
JOURNAL OF CLEANER PRODUCTION, 2019, 225 :833-856
[3]   Is the covariate based non-stationary rainfall IDF curve capable of encompassing future rainfall changes? [J].
Agilan, V. ;
Umamahesh, N. V. .
JOURNAL OF HYDROLOGY, 2016, 541 :1441-1455
[4]   Land use and climate change impacts on runoff and soil erosion at the hillslope scale in the Brazilian Cerrado [J].
Anache, Jamil A. A. ;
Flanagan, Dennis C. ;
Srivastava, Anurag ;
Wendland, Edson C. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 :140-151
[5]   Redefining the stormwater first flush phenomenon [J].
Bach, Peter M. ;
McCarthy, David T. ;
Deletic, Ana .
WATER RESEARCH, 2010, 44 (08) :2487-2498
[6]   Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: Experimental and modeling approach [J].
Baek, Sang-Soo ;
Choi, Dong-Ho ;
Jung, Jae-Woon ;
Lee, Hyung-Jin ;
Lee, Hyuk ;
Yoon, Kwang-Sik ;
Cho, Kyung Hwa .
WATER RESEARCH, 2015, 86 :122-131
[7]   Stability and Global Sensitivity Analysis for an Agree-Disagree Model: Partial Rank Correlation Coefficient and Latin Hypercube Sampling Methods [J].
Bidah, Sara ;
Zakary, Omar ;
Rachik, Mostafa .
INTERNATIONAL JOURNAL OF DIFFERENTIAL EQUATIONS, 2020, 2020
[8]   Towards a fair comparison of statistical and dynamical downscaling in the framework of the EURO-CORDEX initiative [J].
Casanueva, A. ;
Herrera, S. ;
Fernandez, J. ;
Gutierrez, J. M. .
CLIMATIC CHANGE, 2016, 137 (3-4) :411-426
[9]   A comprehensive study on green roof performance for retrofitting existing buildings [J].
Cascone, Stefano ;
Catania, Federico ;
Gagliano, Antonio ;
Sciuto, Gaetano .
BUILDING AND ENVIRONMENT, 2018, 136 :227-239
[10]   Evaluation on the integrated water resources management in China's majorcities - Based on City Blueprint® Approach [J].
Chang, I-Shin ;
Zhao, Mengdie ;
Chen, Yilin ;
Guo, Xiaomin ;
Zhu, Ying ;
Wu, Jing ;
Yuan, Tao .
JOURNAL OF CLEANER PRODUCTION, 2020, 262