Particle Swarm Optimization for Calibrating and Optimizing Xinanjiang Model Parameters

Kuok, Kuok King; Chan, Chiu Po

doi:10.14569/ijacsa.2012.030917

Cited by 6 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kuching receives rainfall throughout the year, with January typically receiving the most (457 mm) and July receiving the least (156 mm) [25] [26]. The windiest month is January, with an average wind speed of roughly 6.4 km/h, while May has the lowest average wind speed at 3.9 km/h [27] [28].…”

Section: Study Areamentioning

confidence: 99%

Green Roof Performance for Stormwater Management in Equatorial Urban Areas Using Storm Water Management Model (SWMM)

Kuok,

Chiu,

Chin

et al. 2023

JWARP

View full text Add to dashboard Cite

Many Low Impact Developments (LIDs) have recently been developed as a sustainable integrated strategy for managing the quantity and quality of stormwater and surrounding amenities. Previous research showed that green roof is one of the most promising LIDs for slowing down rainwater, controlling rainwater volume, and enhancing rainwater quality by filtering and leaching contaminants from the substrate. However, there is no guideline for green roof design in Malaysia. Hence, Investigating the viability of using green roofs to manage stormwater and address flash flood hazards is urgently necessary. This study used the Storm Water Management Model (SWMM) to evaluate the effectiveness of green roof in managing stormwater and improving rainwater quality. The selected study area is the multi-story car park (MSCP) rooftop at Swinburne University of Technology Sarawak Campus. Nine green roof models with different configurations were created. Results revealed that the optimum design of a green roof is 100 mm of berm height, 150 mm of soil thickness, and 50 mm of drainage mat thickness. With the ability to reduce runoff generation by 26.73%, reduce TSS by 89.75%, TP by 93.07%, TN by 93.16%, and improved BOD by 81.33%. However, pH values dropped as low as 5.933 and became more acidic due to the substrates in green roof. These findings demonstrated that green roofs improve water quality, able to temporarily store excess rainfall and it is very promising and sustainable tool in managing stormwater.

show abstract

Section: Study Areamentioning

confidence: 99%

Green Roof Performance for Stormwater Management in Equatorial Urban Areas Using Storm Water Management Model (SWMM)

Kuok,

Chiu,

Chin

et al. 2023

JWARP

View full text Add to dashboard Cite

show abstract

“…Comparable in performance to evolutionary algorithms, the PSO algorithm may therefore be considered an alternative to such methods (Angeline, 1998;Poli et al, 2007;Kuok and Chan, 2012).…”

Section: Introductionmentioning

confidence: 99%

Calibrating RZWQM2 model using quantum-behaved particle swarm optimization algorithm

Zou

et al. 2015

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

Climate change impacts on sea level rise to flood depth and extent of Sarawak River

et al. 2022

View full text Add to dashboard Cite

This study focuses on the impact of climate change on Sarawak River flow due to heavy rainfall and the backflow of sea level. The sea level around Sarawak is expected to rise at 3.6 mm/year. When surface runoff meets seawater backflow, especially during king tides, determining the flood inundation level at low-lying regions along the Sarawak River is critical to prepare appropriate mitigation measures. The hydrodynamic model was developed using Infoworks River Simulation (RS) software. The flow of the Sarawak River is modeled from Git Station to Muara Tebas port. Various data are input into the hydrodynamic model for calibration and validation, including boundary conditions, river networks, ground models, river cross-section, water level, and rainfall data. The simulation was carried out for the years 2050 and 2080. The flood maps were generated to depict flood depth, extent, and submerged areas. In 2020, the backflow of seawater did not overwhelm Kuching City, which is located within the Sarawak River Basin. However, many low-lying locations along Sarawak River are expected to be inundated by 2050, with the flood depth ranging from 1 to 4 m. In 2080, the average increment of flood depth is predicted to be 1 m especially for low-lying areas compared to year 2050. Hence, the relevant authorities must take proactive efforts to manage the growing flood challenges caused by climate change, particularly in low-lying areas.

show abstract

Particle Swarm Optimization for Calibrating and Optimizing Xinanjiang Model Parameters

Abstract: Abstract-

Cited by 6 publications

References 14 publications

Green Roof Performance for Stormwater Management in Equatorial Urban Areas Using Storm Water Management Model (SWMM)

Green Roof Performance for Stormwater Management in Equatorial Urban Areas Using Storm Water Management Model (SWMM)

Calibrating RZWQM2 model using quantum-behaved particle swarm optimization algorithm

Climate change impacts on sea level rise to flood depth and extent of Sarawak River

Contact Info

Product

Resources

About