An online participatory system for SWMM-based flood modeling and simulation

Zhang, Beichen; Chen, Min; Ma, Zaiyang; Zhang, Zhuo; Yue, Songshan; Xiao, Dawei; Zhu, Zuo-Nong; Wen, Yongning; Lv, Guonian

doi:10.1007/s11356-021-16107-3

Cited by 26 publications

(10 citation statements)

References 77 publications

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“…In this section, the Storm Water Management Model (SWMM) and LISFLOOD‐FP model are selected as examples for demonstrating the functionalities of the open model knowledge framework. SWMM and LISFLOOD‐FP have been widely used in studying urban stormwater, for example, runoff simulation, underground pipe network flow simulation, stormwater simulation, and various drainage planning, design, and drainage analyses (Rossman, 2010; Rossman & Supply, 2006; Xiao et al., 2019; Zhang et al., 2022).…”

Section: Methodsmentioning

confidence: 99%

Construction of an open knowledge framework for geoscientific models

Xu,

Yue,

Chen

et al. 2024

Transactions in GIS

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Geoscientific models have rapidly developed in recent decades as effective tools to understand the past, perceive the present, and predict the future. However, with the increasing number of models available, discovering suitable ones and applying them properly in problem‐solving situations has become more challenging. Existing materials describing geoscientific models (e.g., articles, manuals, handbooks, metadata documents, and web pages) are scattered and varied in structure and content. To help model users from different disciplinary backgrounds find, access, implement, and reuse models more conveniently, we propose an open knowledge framework for geoscientific models. The knowledge framework includes three levels: a resource level for indicating where to find a model, a connection level for indicating what materials are related to a model, and an application level for indicating how the model is applied. Through such a three‐level framework, model users can collaboratively provide descriptive information for a model, link different materials to a model (e.g., data, references, and tools), and contribute experiences regarding model application in practical cases (as reusable solutions). Thus, a web‐based community can be formed to facilitate the better use of geoscientific models. This article introduces the Open Geographic Modeling and Simulation System (OpenGMS) as the implementation of this open knowledge framework. Case studies are given to showcase the effectiveness and capability of the proposed framework.

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Section: Methodsmentioning

confidence: 99%

Construction of an open knowledge framework for geoscientific models

Xu,

Yue,

Chen

et al. 2024

Transactions in GIS

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“…These systems catering to large-scale data processing and distribution can now leverage new protocols and information-sharing schemes. For instance, Zhang et al (2022) evaluated the connection between the urban water model SWMM and ondemand flood modeling via WebRTC, facilitating collaborative peer exchanges that mitigate server-data limitations. Combining specialized systems with this technology enables progressive web applications, particularly for web-based geospatial analysis (Sit et al, 2021a), supporting decision-support systems (Shahid et al, 2023).…”

Section: Related Workmentioning

confidence: 99%

HydroRTC: A Web-Based Data Transfer and Communication Library for Collaborative Data Processing and Sharing in the Hydrological Domain

Erazo Ramirez,

Sermet,

Shahid

et al. 2024

Preprint

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The exponential growth in data generated by satellites, radars, sensors, and analysis and reanalysis from model outputs for the hydrological domain requires efficient real-time data management and distribution mechanisms. This paper introduces HydroRTC, a web-based data transfer and communication library designed to accelerate large-scale data sharing and analysis. Leveraging next-generation web technologies like WebSockets, WebRTC and Node.js, the library enables seamless peer-to-peer sharing, smart data transmission, and large dataset streaming. Three primary scenarios are presented as use cases, demonstrating the potential of HydroRTC as server-to-peer with intelligent data scheduling and large data streaming, peer-to-peer data sharing, and peer-to-server for data exchange. HydroRTC offers a promising solution for collaborative infrastructures in the hydrological and environmental domain, allowing real-time and high-throughput data sharing and transfer for enhancing research efficiency and collaboration capabilities.

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“…They can also predict the balance between supply and demand of water resources, and optimize the management strategies of natural reserve areas [4]. In natural-disaster risk assessment, geospatialanalysis models can quantitatively analyze the spatial distribution and impact the range of natural risks [5,6]. In recent years, advances in Earth observation technology have provided a more convenient and efficient channel for obtaining high-resolution geographic data.…”

Section: Introduction 1research Backgroundmentioning

confidence: 99%

A Containerized Service-Based Integration Framework for Heterogeneous-Geospatial-Analysis Models

Zhu,

Wang,

Kong

et al. 2024

IJGI

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The integration of geospatial-analysis models is crucial for simulating complex geographic processes and phenomena. However, compared to non-geospatial models and traditional geospatial models, geospatial-analysis models face more challenges owing to extensive geographic data processing and complex computations involved. One core issue is how to eliminate model heterogeneity to facilitate model combination and capability integration. In this study, we propose a containerized service-based integration framework named GeoCSIF, specifically designed for heterogeneous-geospatial-analysis models. Firstly, by designing the model-servicized structure, we shield the heterogeneity of model structures so that different types of geospatial-analysis models can be effectively described and integrated based on standardized constraints. Then, to tackle the heterogeneity in model dependencies, we devise a prioritization-based orchestration method, facilitating optimized combinations of large-scale geospatial-analysis models. Lastly, considering the heterogeneity in execution modes, we design a heuristic scheduling method that establishes optimal mappings between models and underlying computational resources, enhancing both model stability and service performance. To validate the effectiveness and progressiveness of GeoCSIF, a prototype system was developed, and its integration process for flood disaster models was compared with mainstream methods. Experimental results indicate that GeoCSIF possesses superior performance in model management and service efficiency.

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An online participatory system for SWMM-based flood modeling and simulation

Cited by 26 publications

References 77 publications

Construction of an open knowledge framework for geoscientific models

Construction of an open knowledge framework for geoscientific models

HydroRTC: A Web-Based Data Transfer and Communication Library for Collaborative Data Processing and Sharing in the Hydrological Domain

A Containerized Service-Based Integration Framework for Heterogeneous-Geospatial-Analysis Models

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