Research on the management scheme of urban flooding based on GIS technology

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Янв. 17, 2024

Abstract With rapid urbanization, flooding disasters caused by heavy rainfall and floods have brought huge economic social losses. Therefore, it is critical to seek a scientific effective stormwater management solution. Using GIS technology, this study focuses on the growing urban problem in three stages: before, during, after rainstorm. In pre-storm stage, used for flood risk assessment prediction provide accurate early warning information decision support so that timely countermeasures can be taken. mid-storm plays key role command dispatch emergency response, enabling task assignment optimization, facilitating inter-departmental collaboration. post-storm phase, technology identify areas, evaluate effectiveness, offer summarizing lessons learned improving system. Hence, provides efficient solutions reduce risks, improve city resilience floods, promote sustainable development. Through application of proposed findings will reveal spatial analysis, data management, functions employed comprehensive systematic management.

Язык: Английский

Assessing Economic Loss from Urban Waterlogging in Beijing under Climate Change Using a Hydraulic Model

ACS Sustainable Chemistry & Engineering, Год журнала: 2024, Номер 12(35), С. 13090 - 13105

Опубликована: Авг. 17, 2024

Long-term climate change has amplified the frequency of extreme events, such as intense short-duration heavy rainfall, which increased risk urban waterlogging. The severe economic losses that result warrant serious attention, but accurately quantifying remains a significant challenge. In this study, change-adapted loss evaluation framework is established for waterlogging using hydraulic model with coupled intercomparison project phase 6 (CMIP6) scenarios. Choosing Beijing case based on shared socioeconomic pathways (SSP) and representative concentration (RCP), we formulate three future scenarios (SSP2–RCP4.5, SSP3–RCP7.0, SSP5–RCP8.5) CMIP6 data. Next, simulate under each scenario four return period subscenarios employing InfoWorks integrated catchment management (InfoWorks ICM) model. We develop rate functions distinct land-use types in Beijing. Finally, quantify caused by find impacts an extensive area 199 million m2, or 26.05% study region, causes maximum estimated at 29.78 billion yuan 100 year recurrence SSP5–RCP8.5 scenario. largest are observed residential land use, closely followed commercial use. By offering method arising from change, aids implementation effective risk-management strategies.

Язык: Английский

Urban Waterlogging Risk Assessment Based on Multivariate Data and Machine Learning

Опубликована: Ноя. 8, 2024

Язык: Английский