2022
DOI: 10.1111/tgis.12904
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Design and development of a web‐based interactive twin platform for watershed management

Abstract: There are limitations to traditional digital watershed platforms in terms of realistic visualization of geospatial elements and powerful decision support for watershed management.To advance the status quo, a web-based digital twin is designed and implemented in this article that can: (1) realize virtual simulation of geographic elements on the browser side; (2) present the current situation and excessive information of the watershed water environment; and (3) provide decision support for integrated watershed m… Show more

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Cited by 14 publications
(5 citation statements)
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References 47 publications
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“…This growth is underscored by the development of multi-hazard and multi-criteria platforms (Ries et al, 2010;Heil et al, 2014;Kochilakis et al, 2016;Ong et al, 2017;Abily et al, 2020;Lin et al, 2020;Mamassis et al, 2021). Concurrently, digital watershed designs have emerged (Qiu et al, 2022), complemented by reservoir inundation mapping tools (Aekakkararungroj et al, 2020) and specialized Python utilities (Christensen et al, 2017). The embrace of crowd intelligence, notably via natural language processing of tweets (Donratanapat et al, 2020), has been enhanced through high-performance computing (Svatoň et al, 2018;Bottazzi et al, 2021) and satellite data analytics (Craciunescu et al, 2016).…”
Section: Flood Information Systemsmentioning
confidence: 99%
“…This growth is underscored by the development of multi-hazard and multi-criteria platforms (Ries et al, 2010;Heil et al, 2014;Kochilakis et al, 2016;Ong et al, 2017;Abily et al, 2020;Lin et al, 2020;Mamassis et al, 2021). Concurrently, digital watershed designs have emerged (Qiu et al, 2022), complemented by reservoir inundation mapping tools (Aekakkararungroj et al, 2020) and specialized Python utilities (Christensen et al, 2017). The embrace of crowd intelligence, notably via natural language processing of tweets (Donratanapat et al, 2020), has been enhanced through high-performance computing (Svatoň et al, 2018;Bottazzi et al, 2021) and satellite data analytics (Craciunescu et al, 2016).…”
Section: Flood Information Systemsmentioning
confidence: 99%
“…The approach aims to achieve sustainable management by emphasising the proper use and conservation of essential resources like water, soil, and various ecosystem services (Wang et al 2016). In this context, decision support systems play a vital role in simplifying and improving IWM practices (Arteaga et al 2020, Qiu et al 2022). Nevertheless, in spite of the exceptional significance of initiating IWM programmes as a strategy for enhancing rural areas, Wang et al (2016) assess that so far there has been an insufficient number of studies related to their application and potential impact.…”
Section: Decision-makingmentioning
confidence: 99%
“…The answer is extracted from the stored data, which is basically coordinate-based. These services have been extremely helpful in a broad spectrum of disciplines ranging from agriculture [1], ecology [2,3], mining [4,5], and archeology [6] to urban planning [7,8], public health [9], and water resources [10]. The role of the rapid growth of spatial data acquisition technologies in the success of GIS is undeniable.…”
Section: Introductionmentioning
confidence: 99%