Introduction

The permeability of urban land has been changed substantially with urban sprawl (Czemiel Berndtsson, 2010; Chen, 2013; Berndtsson, 2010) since the original permeable soil is replaced by relatively impervious surfaces. As a result, the Middle and Lower Reaches of the Yangtze River region (MLRYR), one of the most densely populated areas in China, is suffering from serious urban flooding and groundwater depletion. On the one side, total annual precipitation in this region has increased significantly since the end of the 1970s. In addition, there is a decrease in the number of precipitation days and a significant increasing precipitation intensity as proved by previous studies (Li et al. 2015; Ye and Huang, 1991; Wang and Zhou, 2005; Zhang et al., 2008; Feng, 2012; Wang et al., 2016). On the other side, drought in the MLRYR has significant sustainability in the past 50 years with increasing intensity over the past two decades (Wang, el. at, 2014). For example, severe droughts have been detected in the MLRYR in 2000, 2001, 2004, 2007, 2011, and 2013 (Liu, 2017). Therefore, the MLRYR climatic characteristics result in relatively high frequency of urban flooding and groundwater depletion.
Green Roof Systems (GRS), which include a substrate for vegetation, have considerable potential to alleviate urban flooding caused by excessive surface runoff (Carson et al., 2015; Cipolla et al., 2016; Sims et al., 2016; Claudia et al., 2019). In comparison to a Traditional Roof System (TRS), the GRS can intercept, detain, and delay surface runoff (Berndtsson, 2010; Li and Babcock, 2014). For example, the evaluated results in Li and Babcock (2014) showed that the GRS could reduce total runoff volume by 30 - 86%, peak flow rates by 22 - 93%, and delay peak surface runoff flows by up to 30 minutes. Furthermore, GRS is feasible to apply since it can be retrofitted to existing buildings and does not require as much additional space as other approaches. Considering that existing buildings in many cities account for a large fraction (often 40-50%) of impermeable area (Dunnet and Kingsbury 2004; Sims et al., 2016), GRS is a potential Low Impact Development (LID) method to address urban flooding issue in this region because it can be implemented widely.
Recognizing the advantages of GRS, more and more research has been devoted to this field such as measuring the rainwater retention of green roofs over a certain period of time (Mentens et al., 2006; Simmons et al., 2008; Liu et al., 2019), comparing the rainwater retention amount of green roofs under different rainfall intensities (Hilten et al., 2008; Talebi et al., 2019), detecting the impact of roof slope and thickness of the substrate on the retention effect (Voyde, et al., 2010;Yio et al., 2013; Carter and Jackson, 2007; Feitosa and Wilkinson, 2016; Bollman et al., 2019; Peng et al., 2019), comparing the rainwater retention ability of common roofs, green roofs and white roofs (VanWoert et al., 2005; Yang and Bou-Zeid, 2019), and the selection of green roof vegetation (Schroder et al., 2019; Du et al., 2019; Tran et al., 2019). Previous research has shown that GRS performance depends strongly on climate condition (Sims et al., 2016; Chen, 2013; Wong and Jim, 2014;), rooftop configuration, and plant species (Li and Babcock, 2014; VanWoert et al., 2005; Sendo et al., 2010; Metselaar, 2012; Liu et al., 2019).
However, the existent literature is scarce in the following aspects: (1) Few studies focus on the application potential of GRS in the MLRYR region with its unique climate condition that is the main factor determining the performance of GRS. In the MLRYR region, the studies on GRS mainly focus on the landscape design, vegetation selection and energy saving (Xiao et al., 2014; Jiang, 2011; Li et al., 2019), and only a few studies on the stormwater retention capacity which includes the calculation of the runoff mitigation of green roofs under different rainfall intensity, the interception of rainwater by statistical analysis of the measured rainfall data, and the feasibility study of using waste sludge from sewage treatment plant as green roof soil layer (Shen et al., 2017; Liu and Chen, 2018; Li et al., 2019). These studies, however, did not aim at the special climate characteristics of MLRYR, nor did they run the simulation for a long period with the long-term rainfall data. They only used the experimental method to analyze the short-term rainfalls. Therefore, it is necessary to study long-term rainfall for many years and short-term rainfall with different intensities according to the rainfall characteristics of MLRYR, especially the unique plum rain season every year. (2) Previous research did not give a comprehensive analysis of the important effect of evapotranspiration in the hydrodynamic process of GRS (Ebrahimian et al., 2019; Zhang et al., 2019; Li et al., 2019; Cascone et al., 2019). We therefore need to better understand the evapotranspiration of GRS by analyzing the PET (Potential ET), AET (Actual ET) and RET (Reference ET). (3) Although there are many researches on the retention and detention of GRS, these studies did not analyze the mitigation potential of GRS for urban flooding by calculating the overload of CSS / SWS which is the most direct part to determine whether urban flooding will occur. (4) Many studies have recognized the effect of soil layer on the retention efficiency of GRS, but the sensitivity of soil parameters was not comprehensively analyzed which is important because each soil parameter has a different effect on the retention results. The sensitivity analysis of soil parameters will be helpful to the structural design of GRS in future studies, so as to obtain better retention efficiency. Moreover, considering that most surface runoff is discharged via the drainage layer of GRS into the CSS / SWS in heavy precipitation because the retention volume of GRS decreases as precipitation intensity increases (Li and Babcock, 2014), we propose an Improved Green Roof System (IGRS) that combines green roof and rooftop disconnection to decrease drainage system loads and better recharge groundwater.
Therefore, the objectives of this work are to address the following questions: (1) What are the impacts of the GRS and IGRS on hydrology characters (e.g., surface runoff, flood, evaporation, and infiltration) of an urban catchment in Nanchang that has typical rainfall characteristics of MLRYR? (2) Based on the comprehensive analysis of PET, AET, and RET, what role does evapotranspiration play in the hydrological cycle of GRS? And (3) Does the GRS or IGRS have the potential to be applied in cities like Nanchang? To answer these questions, this study simulated the hydrological process of runoff, flooding flow, evaporation, and infiltration of GRS under different rainfall intensities and durations, and tested the sensitivity of soil parameters of GRS, so as to explore the potential of GRS to mitigate the urban flooding problems. The novelty of the urban flooding mitigation study stems from the fact that the hydraulic condition of CSS / SWS is the most direct factor to decide whether urban flooding will occur. We analyzed flooding nodes and overloaded conduits of CSS / SWS as well as runoff retention of GRS and IGRS under the unique climatic and high-density developed conditions in MLRYR. On the whole, we first analyzed the potential application of GRS to reduce surface runoff and peak flow rates and recharge groundwater in a densely developed city in the MLRYR region. We performed the analyses using the United States Environmental Protection Agency (USEPA) Storm Water Management Model (SWMM). Then we explored the potential and impacts of green roof application by analyzing hydrological characteristics of TRS, GRS, and IGRS in terms of surface runoff, flood, evaporation, and infiltration, to see if the GRS or IGRS is superior to the TRS in the studying city. Finally, we synthesized and discussed results in Section 3.