Characterization of semi-top-down excavation for subway station in Shanghai soft ground

et al. 2017

IJERPH

Jinan is a famous spring city in China. Construction of underground metro system may block groundwater seepage, inducing the depletion risk of springs. This paper presents an assessment of the risk due to metro line construction to groundwater in Jinan City using Analytic Hierarchy Process (AHP) and Geographic International System (GIS). Based on the characteristics of hydrogeology and engineering geology, the assessment model is established from the perspectives of surface index and underground index. The assessment results show that the high and very high risk levels of surface index exceed 98% in the north region; and high and very high risk levels of underground index exceed 56% in urban center and southern region. The assessment result also shows that about 14% of the urban area belongs to very high risk level; regions of high risk are 20% in urban area, 9% in Changqing County and 43% in Pingyin County. In the high risk region, metro lines R1 to R3, which are under construction, and metro lines L1 to L5, which are planned, have very high and high risk. Therefore, risk control measures are proposed to protect the groundwater seepage path to spring.

Section: Discussionmentioning

confidence: 99%

Evaluation of Environmental Risk Due to Metro System Construction in Jinan, China

Wang

et al. 2017

IJERPH

“…In general, four methods have been developed to predict the inundation risk: (1) a statistical analysis based on historical disaster records (Nott, 2006), (2) geographical information system and remote sensing (GIS-RS) techniques (Sampson et al, 2012;Meesuk et al, 2015), (3) multi-criteria index analysis (Jiang et al, 2009;Kazakis et al, 2015), and (4) scenario-based inundation analysis (Willems, 2013;Naulin et al, 2013). Although assessment results based on historical disaster records can predict the inundation risk of an area, the method requires high numbers of data (Nott, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…The multi-criteria index analysis has a few limitations regarding the determination of subjective indices (Jiang et al, 2009;Kazakis et al, 2015). The scenario-based inundation analysis predicts the inundation risk for different scenarios (Willems, 2013;Naulin et al, 2013;Wu et al, 2018) and requires the topography, land use, and urban drainage system data. Owing to the complex interaction between the drainage system and overland surface in urban regions, scenario-based models can only simulate inundation for a small range (e.g.…”

Section: Introductionmentioning

confidence: 99%

Inundation analysis of metro systems with the storm water management model incorporated into a geographical information system: a case study in Shanghai

Hydrol. Earth Syst. Sci.

Yang

et al. 2019

108

Abstract. This study presents an integrated approach to evaluate inundation risks, in which an algorithm is proposed to integrate the storm water management model (SWMM) into a geographical information system (GIS). The proposed algorithm simulates the flood inundation of overland flows and in metro stations for each designed scenario. It involves the following stages: (i) determination of the grid location and spreading coefficient and (ii) an iterative calculation of the spreading process. In addition, an equation is proposed to calculate the inundation around a metro station and to predict the potential inundation risks of the metro system. The proposed method is applied to simulate the inundation risk of the metro system in the urban centre of Shanghai under 50-year, 100-year, and 500-year rainfall intensities. Both inundation extent and depth are obtained and the proposed method is validated with records of historical floods. The results demonstrate that in the case of a 500-year rainfall intensity, the inundated area with a water depth excess of 300 mm covers up to 5.16 km2. In addition, four metro stations are inundated to a depth of over 300 mm.

“…With rapid urbanization, numerous urban constructions (e.g., underground metro system, malls, infrastructural systems, and parks) have been built (Peng and Peng, 2018). The disturbance caused by underground constructions (Shen et al 2014(Shen et al , 2017Tan et al 2017) makes the geological environment susceptible to natural hazards, e.g., floods, tornados, and typhoons (Chang et al 2010;Lyu et al 2016Lyu et al , 2017. In recent years, climate change has resulted in various rainstorm events in China (Zhou et al 2012;Yin et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Scenario-based inundation analysis of metro systems: a case study in Shanghai

Yang

et al. 2019

Preprint

Abstract. Catastrophic urban floods result in severe inundation of underground facilities in recent years. This paper presents an integrated approach in which an algorithm is proposed to integrate the storm water management model (SWMM) into the geographical information system (GIS) to evaluate the inundation risk. The proposed algorithm simulates the flood inundation of overland flow and metro station for each schemed scenario. It involves i) determination of the grid location and spreading coefficient and ii) iterative calculation of the spreading process. Furthermore, to evaluate the potential inundation risks of metro systems, an equation to qualitatively calculate the inundation depth around a metro station is proposed. This equation considered the drainage capacity and characteristics of each metro station. The proposed method is applied to simulate the inundation risks of the metro system in the urban centre of Shanghai under 50-year, 100-year, and 500-year scenarios. Both the inundation extent and depth are derived. The proposed method is validated by verifying from the records of historical floods. The results demonstrate that in case of the 500-year-rainfall scenario, for an inundation depth of over 300 mm, the inundated area is up to 5.16 km2, which is 4.3 % of the studied area and that there are four metro stations inundated to a depth of over 300 mm.