Stormwater characterisation and modelling for Sungai Air Hitam in Selangor, Malaysia using model for urban stormwater improvement conceptualisation (music)

Idros, Noorhayati; Sidek, Lariyah Mohd; Rahim, Nur Anis Aishah M.; Noh, Nurshahira Mohd; Abdelkader, Amr M.; Mohiyaden, Hairun Aishah; Basri, Hidayah; Zawawi, Mohd Hafiz Bin; Ahmed, Ali Najah

doi:10.1016/j.ecolind.2024.111850

Cited by 1 publication

(1 citation statement)

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“…Due to the fact that urban surface pollution is affected by rainfall characteristics, surface features and other factors, the simulation is difficult, and some existing models lack accuracy and applicability [18,19], while others vary in functionality and lack a comprehensive LID model [20]. Similar models are the Model for Urban Stormwater Improvement (MUSIC) [21] and Rainwater+ [22]. Furthermore, scholars have researched the optimisation of layout for sponge city facilities.…”

Section: Introductionmentioning

confidence: 99%

Storage Scale Assessment of a Low-Impact Development System in a Sponge City

Xie,

He,

Dong

et al. 2024

Water

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A sponge city is an established urban stormwater management approach that effectively reduces urban runoff and pollutant discharges. In order to plan and design, estimate costs, and evaluate the performance of urban sponge city systems, it is essential to calculate the storage scale. In this context, a sponge city storage scale and calculation method based on a multifactor spatial overlay was designed, utilising the starting area of the Dafeng Hi-tech Development Zone in Yancheng City, China, as an illustrative example. The indicators for assessing the impact of sponge city systems on river plain networks are constructed based on four aspects: land planning, building density, water surface rate and green space rate. The relative importance of each indicator was determined based on the necessity of controlling runoff from land parcels and the appropriateness of facility construction. The annual runoff control rate of the 39 low-impact development control units in the study area was calculated using ArcGIS through multifactor spatial overlay mapping and weighting. The results showed that (1) the Geographic Information System (GIS)overlay technology can effectively assist in the decomposition of LID scales; (2) data can be derived, including the design storage volume and other basic control scale indicators for each unit. The study results are expected to serve as a reference for the preparation of special low-impact development plans in the river plain network area of China and the promotion of the construction of a sustainable blue–green system in the city.

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