Climatology

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  • ItemEmbargo
    Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia
    (Springer, 2015) Zulkarnain Hassan; Supiah Shamsudin; Sobri Harun; Marlinda Abdul Malek; Nuramidah Hamidon
    The increase in global surface temperature in response to the changing composition of the atmosphere will significantly impact upon local hydrological regimes and water resources. This situation will then lead to the need for an assessment of regional climate change impacts. The objectives of this study are to determine current and future climate change scenarios using statistical downscaling model (SDSM) and to assess climate change impact on river runoff using artificial neural network (ANN) and identification of unit hydrographs and component flows from rainfall, evaporation and streamflow data (IHACRES) models, respectively.
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    Discovering meaningful patterns for tropical climate change in Malaysia
    (Inderscience Enterprises Ltd, 2018) Ghassan Saleh Al-Dharhani; Zulaiha Ali Othman; Azuraliza Abu Bakar; Sharifah Mastura Syed Abdullah
    This paper investigated patterns of climate change in Malaysia and proposed a fuzzy based symbolic data representation known as a shapelet patterns algorithm (SPA). The Shapelet Pattern visualise climate change patterns in the form of coloured shapes to indicate annual changes in temperature patterns. The experiment used climate change data collected from four stations in Malaysia, Petaling-jaya, Subang, KLIA-Sepang and University Malaya, to produce three types of results.
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    Climate change in Malaysia: Trends, contributors, impacts, mitigation and adaptations
    (Elsevier, 2019) Kuok Ho Daniel Tang
    This paper reviews the past and future trends of climate change in Malaysia, the major contributors of greenhouse gases and the impacts of climate change to Malaysia. It also reviews the mitigation and adaptations undertaken, and future strategies to manage the impacts of regional climate change.
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    Future climate change impact assessment of watershed scale hydrologic processes in Peninsular Malaysia by a regional climate model coupled with a physically-based hydrology modelo
    (Elsevier, 2017) M.Z.M. Amin; A.J. Shaaban; A. Ercan; K. Ishida; M.L. Kavvas; Z.Q. Chen; S. Jang
    Impacts of climate change on the hydrologic processes under future climate change conditions were assessed over Muda and Dungun watersheds of Peninsular Malaysia by means of a coupled regional climate and physically-based hydrology model utilizing an ensemble of future climate change projections. An ensemble of 15 different future climate realizations from coarse resolution global climate models' (GCMs) projections for the 21st century was dynamically downscaled to 6 km resolution over Peninsular Malaysia by a regional climate model, which was then coupled with the watershed hydrology model WEHY through the atmospheric boundary layer over Muda and Dungun watersheds.
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    Investigation of Flood Pattern Using ANOVA Statistic and Remote Sensing in Malaysia
    (IOP Publishing, 2014) Norsuzila Ya’acob; Nor Syazwani Ismail; Norfazira Mustafa; Azita Laily Yusof
    This project will be focus on flood causes by monsoon. For the last few years, the number of extreme flood was occurred and brings great economic impact. The extreme weather pattern is the main sector contributes for this phenomenon.
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    Mapping of post-event earthquake induced landslides in Sg. Mesilou using LiDAR
    (IOP Publishing, 2016) Habibah Hanan Mat Yusoff; Khamarrul Azahari Razak; Florence Yuen; Afifi Harun; Jasmi Talib; Zakaria Mohamad; Zamri Ramli; Razain Abd Razab
    This study aims at providing a better insight into the use of advanced LiDAR mapping technology for recognizing landslide induced by earthquakes particularly in a vegetated terrain, assessing post event hazard and analyzing its distribution for hazard zonation. We developed the landslide inventory using LiDAR-derived visual analysis method and validated in the field. A landslide inventory map improved with the support of LiDAR derivative data. Finally, landslide inventory was analysed by emphasizing its distribution and density in such a way that it provides clues of risky zone as a result of debris flow.
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    Techniques to implement in green data centres to achieve energy efficiency and reduce global warming effects
    (Inderscience Enterprises Ltd, 2011) Mueen Uddin; Azizah Abdul Rahman
    Energy demand in data centre industry is growing rapidly as computing technology changes and Information Technology (IT) professionals seek to maximise performance of data centres. A multitude of methods have been used to estimate and quantify energy intensity. Rising energy costs, continuing concerns about global economic downturn and global warming effects has leaded ways for energy efficient data centres. The goal of computer system design has been shifted to power and energy efficiency. This paper highlights strategies and techniques that provide energy savings in data centre like reducing frequent hardware purchases, power/cooling cost reductions, green metrics, shrinking data storage, workload consolidation and reducing physical servers.
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    Climate change simulations in terms of solar radiation and cloud fraction based on PRECIS over Malaysia region
    (UMS, 2013) Steven S.K. Kong; Justin Sentian
    This paper simulated the solar radiation and total cloud fraction for Malaysia by the end of the 21st century based on the A2 and the B2 scenarios by utilizing the latest generation of the Hadley Centre regional climate modeling system, PRECIS (Providing Regional Climates for Impact Studies).
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    Urbanization and it impacts to land surface temperature on small medium size city for year 1991, 2011 and 2018: Case study Kota Kinabalu
    (UMS, 2020) Ricky Anak Kemarau; Oliver Valentine Eboy
    Transformation of land cover vegetation toward urban areas causes the temperature at urban higher to compare to suburban and rural areas, namely urban heat island (UHI) effect. The UHI has a negative impact, such a stroke heat, air pollution, green gasses emission, and electric consumption. UHI studies at a tropical country still limited due to the containment of cloud cover. Besides that, studies only focus on big cities which have residents above than 2 million. The outcome this studied important to enhance our knowledge of urban heat effect at small-medium cities and guidelines to policymaker and urban planner to discover there has effectively taken to decrease the effect of urban heat at the hot spot area. The main goal of this research about to discovered influence of urban growth and selected urban index, namely the Normalized Difference Built Index (NDBI) to LST.
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    Daily temperature effects on under-five mortality in a tropical climate country and the role of local characteristics
    (Elsevier, 2023) Vera Ling Hui Phung; Kazutaka Oka; Yasushi Honda; Yasuaki Hijioka; Kayo Ueda; Xerxes Tesoro Seposo; Mazrura Sahani; Wan Rozita Wan Mahiyuddin; Yoonhee Kim
    Climate change and its subsequent effects on temperature have raised global public health concerns. Although numerous epidemiological studies have shown the adverse health effects of temperature, the association remains unclear for children aged below five years old and those in tropical climate regions.
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    Asymmetric boundary shifts of tropical montane Lepidoptera over four decades of climate warming
    (Wiley, 2011) I-Ching Chen; Jane K. Hill; Hau-Jie Shiu; Jeremy D. Holloway,Suzan Benedick; Vun Khen Chey; Henry S. Barlow; Chris D. Thomas
    To estimate whether species have shifted at equal rates at their leading edges (cool boundaries) and trailing edges (warm boundaries) in response to climate change. We provide the first such evidence for tropical insects, here examining elevation shifts for the upper and lower boundaries shifts of montane moths. Threats to species on tropical mountains are considered.
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    Spatiotemporal changes in Hourly Wet Bulb Globe temperature in Peninsular Malaysia
    (Springer, 2023) Mohamad Rajab Houmsi; Zulhilmi Ismail; llya Khairanis Othman; Daeng Siti Maimunah Ishak; Mohammed Magdy Hamed; Zafar Iqbal; Deprizon Syamsunur; Shamsuddin Shahid
    Global warming causes a temperature rise and alteration of other meteorological variables that directly or indirectly affect human comfort. The wet bulb globe temperature (WBGT) incorporates the effects of multiple meteorological variables to provide a reliable measure of human thermal stress. Despite the large significance of WBGT on public health, studies related to characterization and trends assessment of WBGT are limited in the tropical humid region like Peninsular Malaysia due to the unavailability of all meteorological variables required for such analysis. This study employed reanalysis meteorological data of ERA5 to assess the characteristics and changes in hourly, daily, monthly, seasonal and annual outdoor WBGT over peninsular Malaysia for the period 1959–2021 using the Liljegren method.
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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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    Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia
    (Springer, 2022) Asif Raihan; Rawshan Ara Begum; Mohd Nizam; Mohd Said; Joy Jacqueline Pereira
    This study empirically investigates the nexus among energy use, agricultural land expansion, deforestation, and carbon dioxide (CO2) emissions in Malaysia. Time series data from 1990 to 2019 were utilized using the bounds testing (ARDL) approach followed by the Dynamic Ordinary Least Squares (DOLS) method. The DOLS estimate findings show that the energy usage coefficient is positive and significant with CO2 emissions, indicating a 1% increase in energy consumption is related to a 0.91% rise in CO2 emissions.
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    Extreme heat vulnerability assessment in tropical region: a case study in Malaysia
    (Taylor and Francis Ltd., 2022) Nurfatin Izzati Ahmad Kamal; Zulfa Hanan Ash'aari; Ahmad Makmom Abdullah; Faradiella Mohd Kusin; Ferdaus Mohamat Yusuff; Amir Hamzah Sharaai; Farrah Melissa Muharam & Noor Afiza Mohd Ariffin
    In this study, the extreme heat vulnerability index (EHVI) has been evaluated to identify the most vulnerable districts to extreme heat events. We evaluated exposure, population sensitivity and adaptive capacity from sociodemographic and remote sensing data.
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    IoT Based Real-time Monitoring System of Rainfall and Water Level for Flood Prediction Using LSTM Network
    (IOP Publishing, 2023) A A M Faudzi; M M Raslan; N E Alias
    This proposal outlines the design of a monitoring system to obtain real-time data on rain gauge and water level. The monitoring system is based on IoT via a GSM network to provide real-time data cloud and dashboard display on Grafana platform. The rainfall forecasting model used Long Short-Term Memory (LSTM) networks to predict future rainfall and water level values which could cause floods.
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    Trend analysis and change point detection of annual and seasonal temperature series in Peninsular Malaysia
    (Springer, 2018) Jamaludin Suhaila; Zulkifli Yusop
    This study proposes to investigate the trends, and change point detection of mean, maximum and minimum temperature series, both annually and seasonally in Peninsular Malaysia and determine the possible factors that could contribute to the significance trends. In this study, Pettitt and sequential Mann–Kendall (SQ–MK) tests were used to examine the occurrence of any abrupt climate changes in the independent series.
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    Observed trends in extreme temperature over the Klang Valley, Malaysia
    (Springer, 2019) Ahmad Norazhar Mohd YATIM; Mohd Talib LATIF; Fatimah AHAMAD; Md Firoz KHAN; Mohd Shahrul Mohd NADZIR; Liew JUNENG
    This study investigates the recent extreme temperature trends across 19 stations in the Klang Valley, Malaysia, over the period 2006–16. Fourteen extreme index trends were analyzed using the Mann-Kendall non-parametric test, with Sen’s slope as a magnitude estimator.
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    Buffer Zone Prediction for Simulated Earthquake-Induced Slope Failures in Mesilou, Kundasang, Sabah, Malaysia
    (IOP Publishing, 2023) H F W S Erfen; B Musta
    The research area is located at Mesilou, Kundasang, Sabah at 1400 meters to 2000 meters from the sea level. It focuses on slopes of Pinousuk Gravel Unit, tilloid deposits from the glaciation of Mount Kinabalu during Late Pleistocene age. Four slopes were chosen for the estimation of "buffer zone" of earthquake-induced slope failures. The simulation of the earthquake is conducted by using shaking table method and the earthquake event occurred in the research area on year 2018.
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    Preliminary Study on Flood Simulation Using the HEC-HMS Model for Muda River, Malaysia
    (IOP Publishing, 2023) Z Hassan; N H Mohd Razali; A N Kamarudzaman; M Z M Salwa; N A S Nordin
    Flooding poses a severe threat to human beings and causes significant damage to property, infrastructure, and agricultural production. The flood also has severe consequences for socio-economic activities and can lead to the loss of human life. One of the significant factors that cause the flood is rapid development, especially in the floodplain area. ThisThis study estimates the flood discharge along the Muda River, Malaysia using Hydrological Modelling System (HEC-HMS).