Hydrologic performance quantification of green roofs using an analytical stochastic approach based on kernel distribution estimation: Extensive case studies in Shandong Province, northern China
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作者:
Wang, Jiachang
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Shandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R ChinaShandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R China
Wang, Jiachang
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Wang, Jun
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Shandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R ChinaShandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R China
Wang, Jun
[1
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Cao, Shengle
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Shandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R ChinaShandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R China
Cao, Shengle
[1
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Li, Chuanqi
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Shandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R ChinaShandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R China
Li, Chuanqi
[1
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Zhang, Shouhong
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Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R ChinaShandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R China
Zhang, Shouhong
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Guo, Yiping
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McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L7, CanadaShandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R China
Guo, Yiping
[3
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机构:
[1] Shandong Univ, Sch Civil Engn, Jinan 250061, Shandong, Peoples R China
[2] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China
Study region: Nine representative cities in Shandong Province, northern China Study focus: The analytical stochastic approach is computationally -efficient in green roofs (GRs) ' hydrologic performances. However, use of rainfall event separation methods and the resulting rainfall statistic affect the accuracy of this approach. This study integrates a Kernel distribution estimation (KDE)-based rainfall event separation method with the analytical stochastic model (ASM) developed for GRs. The proposed approach was tested for 198 design cases of GRs with considering different soil types and depths at 9 cities in the Shandong Province, northern China. New hydrologic insights for the region: Poisson and Kolmogorov -Smirnov tests can be performed to obtain the available pairs of minimum interevent time and threshold rainfall event depth. The optimal pairs of MIET- v t can be further determined based on the standardized procedure by the KDE-based rainfall event separation and characterization approach. Exponential distributions fit well the observed frequency distributions of rainfall event characteristics of the study area. ASM results using rainfall statistics obtained from a KDE-based method agree very well with those obtained from continuous simulations. The proposed integration of KDE-based rainfall statistics and ASM is accurate and useful for the planning, design and assessment of green roofs in regions of northern China.