E3S Web Conf.
Volume 347, 20222nd International Conference on Civil and Environmental Engineering (ICCEE 2022)
|Number of page(s)||10|
|Section||Water and Environmental Engineering|
|Published online||14 April 2022|
A numerical modelling on the effectiveness of bioretention system for dengue control
* Corresponding author 1: email@example.com
† Corresponding author 2: firstname.lastname@example.org
Conventional urban drainage structures that store water over time are habitat for the mosquito larvae. Appropriate stormwater management practices can help in preventing the breeding of the mosquito larvae. Thus, a study was conducted to evaluate the performance of a proposed bioretention system in controlling dengue at the campus university in Semenyih, Malaysia. The XP Stormwater Management Model (XPSWMM) was applied for the numerical analysis and modelling in this study. A series of simulations were carried out for the ARI of 2, 5, and 10 years to evaluate the performance under the two scenarios of conventional drainage system and bioretention system, taking into considerations the maximum water depth (stages), inflow volume from runoff, and pollutant load reduction from the sub-catchments to control the breeding of aedes mosquitoes. The simulated results indicated that the bioretention system is capable of reducing the maximum water depth (stages) of the sub-catchments to up to 85% as compared to the conventional drainage system. In addition, the reduction of the inflow volume from runoff ranges from 0.3% to 0.5% and the pollutant loads reduced by approximately 100%. The reduction in water depth and inflow volume will result in mitigating the risk of water stagnancy within all the sub-catchments of the study area. The simulated results demonstrated that bioretention system could be used effectively to control the breeding of mosquitoes. Hence, the findings obtained in this study can assist the decision makers of the university in the adoption of bioretention system to control dengue within the campus.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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