Browsing by Author "Muhammad Rendana"

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    Mapping Chini Lake (Pahang, Malaysia) using Sentinel-2 images to determine the effect of acid mine drainage in the pre- to post-COVID-19 restriction period
    (Springer, 2023) Muhammad Rendana; Wan Mohd Razi Idris; Sahibin Abdul Rahim
    Mining activities in the Chini Lake catchment area have been extensive for several years, contributing to acid mine drainage (AMD) events with high concentrations of iron (Fe) and other heavy metals impacting the surface water. However, during the restriction period due to the COVID-19 outbreak, anthropogenic activities have been suspended, which clearly shows a good opportunity for a better environment. Therefore, we aimed to analyze the variation of AMD-associated water pollution in three main zones of the Chini Lake catchment area using Sentinel-2 data for the periods pre-movement control order (MCO), during MCO, and post-MCO from 2019 to 2021.
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    Relationships between land use types and urban heat island intensity in Hulu Langat district, Selangor, Malaysia
    (Springer, 2023) Muhammad Rendana; Wan Mohd Razi Idris; Sahibin Abdul Rahim; Hazem Ghassan Abdo; Hussein Almohamad; Ahmed Abdullah Al Dughairi; Motrih Al?Mutiry
    Urban heat island (UHI) is an urban climate phenomenon that primarily responds to urban conditions and land use change. The extent of hard surfaces significantly influences the thermal properties of the land. To address this issue, a novel approach quantifying the association between land use and UHI is developed.
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    The Variation of Riverine Heavy Metal Flux Using RUSLE Model in the Ranau Sub-basins, Malaysia. Adjacent to Ultrabasic Soil
    (Springer, 2022) Muhammad Rendana; Wan Mohd Razi Idris; Sahibin Abdul Rahim
    The ultrabasic soils exhibit sources of natural geogenic contamination and potential to contaminate soil and water resources. In Ranau basin area, Malaysia, there are three sub-basins which locate adjacent to the ultrabasic soil. The transport of metals concentration can be assessed using the riverine heavy metal flux analysis based on the empirical erosion models. The erosion models such as the Revised Universal Soil Loss Equation (RUSLE) give a common and extensive framework for evaluating soil erosion and its causative factors. RUSLE examined rainfall (R), topography (LS), soil erodibility (K), cover management (C), and support practice (P) as prominent factors influencing soil erosion. Several heavy metals (Co, Cr, Ni, Pb, Cu, and Zn) and a toxic element (As) were analyzed in this study using the standard laboratory analysis.