Abstract

Urban flooding poses serious threats to human life. In China, many cities have recently experienced flooding during every rainy season. Several years ago, policies, scientific methods, and engineering measures were applied to address this systematic problem. However, flooding disasters remain frequent in urban areas in China. Therefore, this article discusses the human-earth relationship from a philosophical perspective to analyse the causes of urban water problems. This article mainly illustrates the value of the what-if analysis concept and how to use this concept to address urban flooding issues and improve the management of urban overland flow. However, the existing simulation models and software do not effectively support what-if analyses. In particular, most existing urban hydrological simulation models and software do not sufficiently consider the heterogeneity of geographical objects on urban surfaces and lack interactions to support what-if analyses. These limitations hinder effective implementation of what-if analysis. This article introduces three key technologies that allow an urban overland flow simulation system to effectively support what-if analyses: 1) urban spatial automatic discretization and topo-adjacency, which reflect the heterogeneity of an urban area; 2) hydrological models for the simulation of the hydrologicalprocesses of the main geographical objects in the urban area; and 3) key strategies for a visual analytic platform to support what-if analyses in well-perceived way. The experiment was conducted using a community in Chongqing as a case study. The results demonstrate that the designed key technologies and functions of the proposed system can support what-if analysis and that what-if analysis is an important and useful concept for urban water management.

Highlights

  • Most humans live in urban areas, and urban areas have been the most thoroughly changed places from their natural environments [1] [2]

  • The results demonstrate that the designed key technologies and functions of the proposed system can support what-if analysis and that what-if analysis is an important and useful concept for urban water management

  • Due to the application demands of urban flooding emergencies and computer-aided design for urban planning, certain commercial software, such as the Surface Water Modelling System (SMS) and the MIKE series software, includes spatial discretization functions to help with spatial discretization, and these programs are widely used as pre-processing tools to support spatial discretization

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Summary

Introduction

Most humans live in urban areas, and urban areas have been the most thoroughly changed places from their natural environments [1] [2]. 1) An automatic urban surface spatial discretization method supports the generation of mesh grids and implementation of spatial adjacency; this component is the basis for supporting overland flow simulations In this proposed system, the discretization method considers the main urban geographical objects separately, which provides the basic boundary conditions and input parameters to the simulation models. The discretization method considers the main urban geographical objects separately, which provides the basic boundary conditions and input parameters to the simulation models This method is a key step in supporting the interactions between humans and the urban environment. 3) An urban overland flow geo-visual analytic platform is used to support processing of the input data and dynamic visualization of the output data in a well-perceived way This platform provides human-earth interaction methods and geo-visual analysis methods to help implement the what-if analysis.

Basic Idea and Overall Framework
Urban Surface Spatial Discretization and Topo-Adjacency
Related Work
Spatial Discretization
Topo-Adjacency
Automatic Extraction of Surface Parameters
Models of Urban Overland Flow Processes
Surface Infiltration Model
Water Distribution Rules for Buildings
Key Strategies for the Geo-Visual Analytic Platform Used for What-If Analysis
Human-Earth Interactions
Understanding the Influences in a Well-Perceived Way
Development of the Prototype System
Experiments
Conclusions and Future Work

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