Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

Abstract

In the context of climate change and rapid urbanization, flood disaster loss caused by extreme rainstorm events is becoming more and more serious. An accurate assessment of flood disaster loss has become a key issue. In this study, extreme rainstorm scenarios with 50- and 100-year return periods based on the Chicago rain pattern were designed. The dynamic change process of flood disaster loss was obtained by using a 1D–2D coupled model, Hazard Rating (HR) method, machine learning, and ArcPy script. The results show that under extreme rainstorm events, the direct economic loss and affected population account for about 3% of the total GDP and 16% of the total population, respectively, and built-up land is the main disaster area. In addition, the initial time and the peak time of flood disaster loss increases with an increasing flood hazard degree and decreases with the increase in the return period. The total loss increases with the increase in the return period, and the unit loss decreases with the increase in the return period. Compared with a static assessment, a dynamic assessment can better reveal the development law of flood disaster loss, which has great significance for flood risk management and the mitigation of flood disaster loss.

Flood Management, Characterization and Vulnerability Analysis Using an Integrated RS-GIS and 2D Hydrodynamic Modelling Approach: The Case of Deg Nullah, Pakistan

“…Assessment of flood risk and management practices is important in identifying the flood hazards, flood-prone areas and future mitigation strategies [22]. Understanding the characteristics of floods is essential in developing flood management action plans and analyzing the impact of various proposed management measures.…”

Simulation and Optimization Strategy of Storm Flood Safety Pattern Based on SCS-CN Model

“…In the book “Regional Ecological Security Pattern: Beijing Case” published in 2009, the spatial analysis module and hydrological module of ArcGIS were used for the first time to analyze and simulate the process of flood and surface runoff, thereby constructing the rain and flood safety [ 10 ]. This can be described in other words as the storm flood security pattern based on the mutual feedback of ecological and urban system, through the construction of the security pattern, to achieve effective regulation of the storm flood process [ 15 ]. The current global research on urban rainwater regulation and storage capacity is more inclined to think about rainwater issues from a systematic and comprehensive perspective and establish a sound technical framework [ 16 ].…”

The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble

“…Global economic losses caused by droughts have been estimated to be as high as USD 6-8 billion annually, which is considerably higher than those caused by other meteorological disasters. In the past 50 years, thousands of people have died from the increase in extreme climate incidents around the world, mainly resulting from climate change, such as the flood on the Yangtze River Basin in 1998 [5], the heat wave in Eastern China in 2013 [6], the extreme snowfall anomaly over the northeast Tibetan plateau in early winter, 2018 [7], and the extreme rainstorm event on 20 July 2021 in Zhengzhou [8]. Furthermore, severe, and extreme drought events have occurred frequently in China, causing huge social and economic losses [9].…”