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Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure

Artificial intelligence; Catchments; Decision making; Expert systems; Rivers; Runoff; Storm sewers; Storms; Urban planning; Water pollution; Water quality; Water treatment; Decision support system (dss); Green infrastructure; Hydrological cycles; Practical experience; Rapid urbanizations; Storm-wate...

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Main Authors: Sidek L.M., Mohiyaden H.A., Haris H., Basri H., Muda Z.C., Roseli Z.A., Norlida M.D.
Other Authors: 35070506500
Format: Conference Paper
Published: Institute of Physics Publishing 2023
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spelling my.uniten.dspace-227982023-05-29T14:12:19Z Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure Sidek L.M. Mohiyaden H.A. Haris H. Basri H. Muda Z.C. Roseli Z.A. Norlida M.D. 35070506500 56780374500 57191870496 57065823300 55812444000 55746324600 57189248522 Artificial intelligence; Catchments; Decision making; Expert systems; Rivers; Runoff; Storm sewers; Storms; Urban planning; Water pollution; Water quality; Water treatment; Decision support system (dss); Green infrastructure; Hydrological cycles; Practical experience; Rapid urbanizations; Storm-water managements; Stormwater best management practices; Stormwater pollutants; Decision support systems; automation; catchment; decision support system; drainage water; ecohydrology; expert system; greenspace; infrastructural development; organic pollutant; river; sustainable development; urban area; urbanization; wastewater; water management; water quality Rapid urbanization has known to have several adverse impacts towards hydrological cycle due to increasing impervious surface and degradation of water quality in stormwater runoff. In the past, urban waterways have been confined to narrow river corridors with the channels canalised and concrete and other synthetic materials forming the bed and banks of the river. Apart from that, stormwater pollutants such as litter, debris and sediments in drainage system are common problems that can lead to flooding and the degradation of water quality. To solve this problem, implementing stormwater Best Management Practices (BMPs) proves very promising due to its near natural characteristics and multiple effects on the drainage of stormwater runoff in urban areas. This judgment of using BMPs depends on not only relevant theoretical considerations, but also a large amount of practical experience and the availability of relevant data, as well. To fulfil this task, the so-called Decision Support System (DSS) in MSMA Design Aid and Database system are able to assist engineers and developers in management and improvement of water quantity and quality entering urban rivers from urban regions. This system is also helpful when an expert level judgment procure some repetitive and large amount of cases, like in the planning of stormwater BMPs systems for an entire city catchment. One of the advantages of an expert system is that it provides automation of expert-level judgement using availability of checking tools system. Final 2023-05-29T06:12:18Z 2023-05-29T06:12:18Z 2016 Conference Paper 10.1088/1755-1315/32/1/012068 2-s2.0-84966521760 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966521760&doi=10.1088%2f1755-1315%2f32%2f1%2f012068&partnerID=40&md5=84bbbe945a9335576ef605c32f17ecab https://irepository.uniten.edu.my/handle/123456789/22798 32 1 12068 All Open Access, Bronze Institute of Physics Publishing Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Artificial intelligence; Catchments; Decision making; Expert systems; Rivers; Runoff; Storm sewers; Storms; Urban planning; Water pollution; Water quality; Water treatment; Decision support system (dss); Green infrastructure; Hydrological cycles; Practical experience; Rapid urbanizations; Storm-water managements; Stormwater best management practices; Stormwater pollutants; Decision support systems; automation; catchment; decision support system; drainage water; ecohydrology; expert system; greenspace; infrastructural development; organic pollutant; river; sustainable development; urban area; urbanization; wastewater; water management; water quality
author2 35070506500
author_facet 35070506500
Sidek L.M.
Mohiyaden H.A.
Haris H.
Basri H.
Muda Z.C.
Roseli Z.A.
Norlida M.D.
format Conference Paper
author Sidek L.M.
Mohiyaden H.A.
Haris H.
Basri H.
Muda Z.C.
Roseli Z.A.
Norlida M.D.
spellingShingle Sidek L.M.
Mohiyaden H.A.
Haris H.
Basri H.
Muda Z.C.
Roseli Z.A.
Norlida M.D.
Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure
author_sort Sidek L.M.
title Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure
title_short Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure
title_full Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure
title_fullStr Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure
title_full_unstemmed Decision Support System (DSS) for MSMA Integrated Stormwater Management Ecohydrology for Sustainable Green Infrastructure
title_sort decision support system (dss) for msma integrated stormwater management ecohydrology for sustainable green infrastructure
publisher Institute of Physics Publishing
publishDate 2023
_version_ 1806428074024108032
score 13.222552

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