Modelling the effects of urbanization on nutrients pollution for prospective management of a tropical watershed: A case study of Skudai River watershed

Bello, Al-Amin Danladi; Haniffah, Mohd Ridza Mohd

doi:10.1016/j.ecolmodel.2021.109721

Cited by 9 publications

(2 citation statements)

References 81 publications

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“…On the other hand, in the case of HSPF, it is difficult to consider soil characteristics, and applying BMP on a field basis is relatively more difficult than the SWAT, so it is not efficient in rural areas [43,44]. In the case of HSPF, various management studies are being widely conducted to improve water quality management due to the increase in impervious area ratio in urban areas during rainfall [45][46][47][48]. A description of each model and regional application studies in this study is provided in the following subsections.…”

Section: Description Of Swat and Hspfmentioning

confidence: 99%

Analyzing Priority Management for Water Quality Improvement Strategies with Regional Characteristics

Lee,

Park,

Choi

et al. 2024

Water

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As the management areas for NPS pollution continue to increase, it is essential to conduct a situation analysis considering the regional characteristics and the scope of pollution reduction. In this study, the focus is on differentiating regional (urban, agricultural) characteristics to enhance water quality and reduce pollution loads in the increasing management areas for NPSs. Furthermore, priority management areas are identified based on urgency and vulnerability, and management strategies are proposed. The assessment involved evaluating both streamflow and water quality (T-P) using long-term monitoring data and watershed models (SWAT and HSPF) that take into account regional characteristics. The results indicated notable regional improvements, with T-P pollution reductions ranging from 20.7% to 26.8% and T-P concentration reductions ranging from 16.4% to 24.7% compared to baseline conditions in unmanaged areas. Based on these research findings, it is anticipated that the efficient and effective management of NPS pollution can be implemented on a regional basis. Moreover, the results of this study will not only contribute to the establishment of pollution standards, but also significantly impact the evaluation and proposal of management objectives, thereby making a substantial contribution to national water quality policies.

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Section: Description Of Swat and Hspfmentioning

confidence: 99%

Analyzing Priority Management for Water Quality Improvement Strategies with Regional Characteristics

Lee,

Park,

Choi

et al. 2024

Water

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“…Typically, anthropogenic sources in rivers come from land-based sources, including mining, factories, and riverside development, which may influence the water quality, especially TSS (Azrina et al, 2006). In particular, sewage effluent and nutrient runoff from nearby residential areas can impact the TSS pollutants in river water (Bello & Haniffah, 2021;Tengku Ibrahim et al, 2021). Thus, anthropogenic activities are a major factor influencing the spatiotemporal variation of TSS content in river bodies.…”

Section: Possible Factors Affecting Spatiotemporal Variation Of Tss D...mentioning

confidence: 99%

Assessment of the Current Spatiotemporal Variations of Total Suspended Solid on the Surface Waters of Kuala Perlis, Perlis

A R,

Kamaruddin S A,

K N

et al. 2023

BSJ

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Rivers are vital water sources for human existence and environmental health. Due to freshwater scarcity, monitoring river water quality is crucial, especially concerningtotal suspended solids (TSS), which pose potential risks to health and the environment. Despite this importance, there is a lack of assessment of spatiotemporal TSS variation in Malaysia, particularly in Sungai Kuala Perlis. This study aims to evaluate spatial-temporal TSS variations in the surface water of Kuala Perlis, Perlis. Sampling points were GPS recorded in December 2021. Five sites were established for morning, afternoon, and evening sampling. Water samples were collected and subjected to gravimetric analysis using the American Public Health Assessment (APHA) standard. ANOVA (p=0.05) in SPSS version 26 found TSS ranges of 110.67 mg/L -177.67 mg/L, 27.67 mg/L – 132 mg/L, and 78 mg/L – 304.67 mg/L for morning, afternoon, and evening, respectively. Surprisingly, no significant mean TSS differences were found for temporal (p>0.05) or spatial (p>0.05) variations. Factors influencing TSS variation such as water flow, salinity, and anthropogenic activities, were discussed. These findings inform researchers, governments, and NGOs for future planning in Kuala Perlis, promoting river health and eco-friendly management

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Simulation-based cost-risk analysis of phosphorus reduction alternatives: application to a mountainous watershed

Nourinezhad

Rajabi

2022

Model. Earth Syst. Environ.

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Modelling the effects of urbanization on nutrients pollution for prospective management of a tropical watershed: A case study of Skudai River watershed

Cited by 9 publications

References 81 publications

Analyzing Priority Management for Water Quality Improvement Strategies with Regional Characteristics

Analyzing Priority Management for Water Quality Improvement Strategies with Regional Characteristics

Assessment of the Current Spatiotemporal Variations of Total Suspended Solid on the Surface Waters of Kuala Perlis, Perlis

Simulation-based cost-risk analysis of phosphorus reduction alternatives: application to a mountainous watershed

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