scholarly journals Weather Downtime and its Effect on Fishing Operation in Peninsular Malaysia

2012 ◽  
Author(s):  
Omar Yaakob ◽  
Peng Chau Quah
Keyword(s):  
Key Words ◽  
West Coast ◽  
East Coast ◽  
Monsoon Season ◽  
Wave Pattern ◽  
Peninsular Malaysia ◽  
Fishing Industry ◽  
Fishing Boat ◽  
Close Relationship

Kertas kerja ini membentangkan hasil kajian mengenai kesan cuaca ke atas industri perikanan di Semenanjung Malaysia. Kajian ini dilakukan dengan tujuan untuk menentukan perhubungan yang jelas antara operasi menangkap ikan dan cuaca terutama di musim tengkujuh. Kertas kerja ini difokuskan kepada corak ombak dan angin dan kesannya ke atas kebolehoperasian bot perikanan, tangkapan, kesediaadaan dan harga ikan. Kesan ke atas aktiviti nelayan dan pendapatan akibat cuaca buruk juga dibincangkan. Keputusan yang diperolehi menunjukkan pertalian rapat antara cuaca dan operasi menangkap ikan dan seterusnya pendapatan nelayan. Kajian ini juga menyimpulkan bahawa kesan cuaca lebih ketara bagi nelayan Pantai Timur berbanding nelayan Pantai Barat. Kata kunci: Kesan cuaca, bot perikanan, operasi perikanan, tengkujuh This paper presents the results of a study of the effect of weather downtime on the fishing industry in Peninsular Malaysia. The study was carried out with the aim of establishing a clearer relationship between weather and fishing operation, especially during monsoon season. This paper focused on the wind and wave pattern and their effects on fishing boat operability, fish landing, fish availability, and price. The effect on the fishermen activity and income as a result of the weather down time was also discussed. The result of the study has indicated that there is a close relationship between weather and fishing operation as well as fishermen’s income. The study also concluded that weather has been significantly affecting the East Coast fishermen compared with their West Coast counterparts. Key words: Weather downtime, fishing boats, fishing operation, monsoon

scholarly journals Statistical Modeling of RPCA-FCM in Spatiotemporal Rainfall Patterns Recognition

Atmosphere ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 145
Author(s):  
Siti Mariana Che Mat Nor ◽  
Shazlyn Milleana Shaharudin ◽  
Shuhaida Ismail ◽  
Sumayyah Aimi Mohd Najib ◽  
Mou Leong Tan ◽  
...  
Keyword(s):  
Statistical Modeling ◽  
East Coast ◽  
Monsoon Season ◽  
Clustering Algorithms ◽  
Breakdown Point ◽  
Peninsular Malaysia ◽  
Northeast Monsoon ◽  
Number Of Components ◽  
Torrential Rainfall ◽  
Rainfall Patterns

This study was conducted to identify the spatiotemporal torrential rainfall patterns of the East Coast of Peninsular Malaysia, as it is the region most affected by the torrential rainfall of the Northeast Monsoon season. Dimension reduction, such as the classical Principal Components Analysis (PCA) coupled with the clustering approach, is often applied to reduce the dimension of the data while simultaneously performing cluster partitions. However, the classical PCA is highly insensitive to outliers, as it assigns equal weights to each set of observations. Hence, applying the classical PCA could affect the cluster partitions of the rainfall patterns. Furthermore, traditional clustering algorithms only allow each element to exclusively belong to one cluster, thus observations within overlapping clusters of the torrential rainfall datasets might not be captured effectively. In this study, a statistical model of torrential rainfall pattern recognition was proposed to alleviate these issues. Here, a Robust PCA (RPCA) based on Tukey’s biweight correlation was introduced and the optimum breakdown point to extract the number of components was identified. A breakdown point of 0.4 at 85% cumulative variance percentage efficiently extracted the number of components to avoid low-frequency variations or insignificant clusters on a spatial scale. Based on the extracted components, the rainfall patterns were further characterized based on cluster solutions attained using Fuzzy C-means clustering (FCM) to allow data elements to belong to more than one cluster, as the rainfall data structure permits this. Lastly, data generated using a Monte Carlo simulation were used to evaluate the performance of the proposed statistical modeling. It was found that the proposed RPCA-FCM performed better using RPCA-FCM compared to the classical PCA coupled with FCM in identifying the torrential rainfall patterns of Peninsular Malaysia’s East Coast.

scholarly journals Variability of rainfall in Peninsular Malaysia

2009 ◽  
Vol 6 (4) ◽  
pp. 5471-5503 ◽  
Author(s):  
C. L. Wong ◽  
R. Venneker ◽  
S. Uhlenbrook ◽  
A. B. M. Jamil ◽  
Y. Zhou
Keyword(s):  
Spatial Variation ◽  
Annual Cycle ◽  
West Coast ◽  
East Coast ◽  
Rainfall Variability ◽  
Peninsular Malaysia ◽  
Monthly Rainfall ◽  
Northeast Monsoon ◽  
The West ◽  
Coast Region

Abstract. This study analyzed and quantified the spatial patterns and time-variability of rainfall in Peninsular Malaysia on monthly, yearly and monsoon temporal scales. We first obtained an overview of rainfall patterns through the analysis of 16 point data sources. The results led to choosing three distinct regions, i.e.~the east coast, inland and west coast regions. For detailed analysis, Shepard's interpolation scheme was applied to the station data to produce daily rainfall fields on a 0.05 degree resolution grids for the period 1971–2006. The rainfall characteristics in time and space derived from a frequency analysis were found to be distinctly different in these three regions. In the east coast region, monthly rainfall shows a significant periodicity dominated by an annual cycle, followed by a half-year cycle. The inland and west coast regions show that the dominant periodic fluctuations in the monthly rainfall are dominated by a half-year cycle, followed by an annual cycle. The long-term rainfall variability analysis shows that the dry and wet conditions in Peninsular Malaysia are not primarily governed by the ENSO events. The results from the individual regions suggest that although the relative variability is influenced by ENSO, local and regional conditions have an effect on the interannual rainfall variability, which is superimposed on the large-scale weather conditions. A significant increasing trends in annual rainfall (9.3 mm/year) and northeast monsoon rainfall (6.2 mm/monsoon) were only detected in the west coast region. No trend was found in the monthly rainfall, except for November in the west coast region. The spatial variation analysis shows that the east coast region, which received substantially higher amounts of rainfall during the northeast monsoon, has lower spatial rainfall variability and a more uniform rainfall distribution than other regions. A larger range for the monthly spatial variation was observed in the west coast region.

scholarly journals Flood and Flash Flood Geo-Hazards in Malaysia

2018 ◽  
Vol 7 (4.35) ◽  
pp. 760
Author(s):  
F. S. Buslima ◽  
R. C. Omar ◽  
Tajul Anuar Jamaluddin ◽  
Hairin Taha
Keyword(s):  
East Coast ◽  
Flash Flood ◽  
Monsoon Season ◽  
Rapid Development ◽  
Flash Floods ◽  
Peninsular Malaysia ◽  
Northeast Monsoon ◽  
Natural Phenomena ◽  
Subject Matter Experts ◽  
Rapid Rise

Floods are natural phenomena of geo-hazards that usually happened when experiencing prolonged heavy rainfalls. Floods in Malaysia can be categorized into monsoon floods and flash floods. Monsoon floods is caused of Northeast Monsoon season commences in early November and ends in March that brings heavy rainfall, particularly to the east coast states of Peninsular Malaysia and western Sarawak. Flash floods usually occur in areas with rapid development by a rapid rise in water level, high velocity, and large amounts of debris. Flooding that occurred in December 2014 can be classified as worst floods that affected several states in Peninsular Malaysia, and the worst affected is Kelantan state. This disaster was recorded more than 200,000 people were affected with 21 people were killed and gives a massive impact on people, properties, agriculture, livestock, and infrastructure facilities. Following the worst floods that hit Malaysia in 2014, the opinions and views from various parties such as subject matter experts was needed to produce mitigations and prevents of the flood disaster at once to minimize vulnerability to hazard.

scholarly journals An updated checklist of marine copepoda from Peninsular Malaysia with notes on their functional traits and distributional records

2021 ◽  
Vol 5 (1) ◽  
pp. 8-24
Author(s):  
BALQIS BALQIAH ◽  
Azman Abdul Rahim
Keyword(s):  
West Coast ◽  
East Coast ◽  
Peninsular Malaysia ◽  
Species Level ◽  
The West ◽  
Marine Zooplankton ◽  
Ecological Literature ◽  
Malacca Strait ◽  
Extensive List ◽  
Euterpina Acutifrons

An up-to-date checklist of marine zooplankton copepods from the water of Peninsular Malaysia is presented, there are 235 species of copepods which consists of 89 genera and 44 families. Extensive list of bibliographical references with synonymy, detailed information on their functional groups, and distributional data are provided for each species. The checklist is based on taxonomic and ecological literature until 28 May 2020. Calanoida recorded the most diverse order with 101 species in total, followed by Harpacticoida with 70 species and 61 species from Cyclopoida. As for Canuelloida, Monstrilloida and Siphonostomatoida all recorded with 1 species respectively. There are 192 species of copepod recorded along the west coast (Malacca Strait) and 123 species on the east coast (South China Sea).  Endemicity at species level attains 1% for the whole Peninsular Malaysian coast, with 2 genera restricted to the east coast (Kensakia parva and Brachiella malayensis) and one genus to the west coast (Labidocera jaafari). There are six dominant species that can be found along the coast of Peninsular Malaysia (Acartia erythraea, Acartia pacifica, Bestiolina similis, Euterpina acutifrons, Microsetella norvegica, Paracalanus aculeatus, Oithona nana, Oithona simplex and Temora discaudata).  

scholarly journals VARIATION OF CHART DATUM TOWARDS MARITIME DELIMITATION DUE TO RISING SEA LEVEL

2017 ◽  
Vol XLII-4/W5 ◽  
pp. 73-80
Author(s):  
A. R. M. Faizuddin ◽  
M. M. Razali
Keyword(s):  
Sea Level ◽  
West Coast ◽  
East Coast ◽  
Linear Trend ◽  
Peninsular Malaysia ◽  
The West ◽  
Mean Sea Level ◽  
Base Points ◽  
Rising Sea Level

The importance of Chart Datum in hydrographic surveying is inarguable because its determination is part of the process to obtain the actual depth of bathymetry. The Chart Datum has a relationship with the determination of base points because any uncertainty of the base points would definitely cause uncertainty to the determination of the maritime baseline. If there is any doubt on the baselines, it will then cause doubt on the maritime zones as well which includes the equidistant line that forms the border between the two countries. However, due to the ongoing rising sea level, there has been some variations of the Chart Datum in some areas in Malaysia. This research discusses about the variation of Mean Sea Level and Chart Datum for the tide gauge stations at Geting, Cendering, Sedili and Tioman at East Coast and Kukup, Langkawi, Lumut and Penang at the West Coast of Peninsular Malaysia. The tidal analysis was carried out by using the 23 years of data beginning at 1993 to 2015. The observed tidal data for 23 years were processed and analysed by using GeoTide software. In this research, the Harmonic Analysis technique was used in order to calculate the values of Mean Sea Level and the Chart Datum while the slope of the shoreline is modelled by using Global Mapper. The linear trend of the Mean Sea Level and the Chart Datum was analysed to determine the increase of the annual sea level in millimetres accuracy and also to determine the variation of the Chart Datum for each tidal station and its impact towards maritime baseline. The result has shown that the linear trend of sea level rise varies from 24 millimetres per year up to 168 millimetres per year at the East Coast and 24 millimetres per year up to 96 millimetres per year at the West Coast of Peninsular Malaysia. As for the maritime baseline, results has indicated that there exist shifting in the horizontal which are varies from 1.564 metres per year to 3.299 metres per year at the East Coast and from 1.331 metres per year up to 5.857 metres per year at the West Cost of Peninsular Malaysia. From the analysis, it can be stated that the horizontal shift occur greater at the East Coast rather than at the West Coast of Peninsular Malaysia. As a conclusion, the sea level rise does have significant impact towards maritime baseline. Furthermore, the determination of a stable Chart Datum is important to define the maritime baseline in other to avoid conflict with other neighbouring countries.

scholarly journals Antimicrobial susceptibility, serotype distribution, virulence profile and molecular typing of piliated clinical isolates of pneumococci from east coast, Peninsular Malaysia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nurul Diana Dzaraly ◽  
Mohd Nasir Mohd Desa ◽  
AbdulRahman Muthanna ◽  
Siti Norbaya Masri ◽  
Niazlin Mohd Taib ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Antimicrobial Susceptibility ◽  
East Coast ◽  
Tertiary Hospital ◽  
Multidrug Resistant ◽  
Peninsular Malaysia ◽  
Clinical Isolates ◽  
Serotype Distribution ◽  
Antimicrobial Susceptibility Test ◽  
Conjugate Vaccines

AbstractPilus has been recently associated with pneumococcal pathogenesis in humans. The information regarding piliated isolates in Malaysia is scarce, especially in the less developed states on the east coast of Peninsular Malaysia. Therefore, we studied the characteristics of pneumococci, including the piliated isolates, in relation to antimicrobial susceptibility, serotypes, and genotypes at a major tertiary hospital on the east coast of Peninsular Malaysia. A total of 100 clinical isolates collected between September 2017 and December 2019 were subjected to serotyping, antimicrobial susceptibility test, and detection of pneumococcal virulence and pilus genes. Multilocus sequence typing (MLST) and phylogenetic analysis were performed only for piliated strains. The most frequent serotypes were 14 (17%), 6A/B (16%), 23F (12%), 19A (11%), and 19F (11%). The majority of isolates were resistant to erythromycin (42%), tetracycline (37%), and trimethoprim-sulfamethoxazole (24%). Piliated isolates occurred in a proportion of 19%; 47.3% of them were multidrug-resistant (MDR) and a majority had serotype 19F. This study showed ST236 was the most predominant sequence type (ST) among piliated isolates, which was related to PMEN clone Taiwan19F-14 (CC271). In the phylogenetic analysis, the piliated isolates were grouped into three major clades supported with 100% bootstrap values. Most piliated isolates belonged to internationally disseminated clones of S. pneumoniae, but pneumococcal conjugate vaccines (PCVs) have the potential to control them.

scholarly journals Draft Genome Sequence of the Shrimp Pathogen Vibrio parahaemolyticus ST17.P5-S1, Isolated in Peninsular Malaysia

2018 ◽  
Vol 7 (11) ◽  
Author(s):  
Sridevi Devadas ◽  
Subha Bhassu ◽  
Tze Chiew Christie Soo ◽  
Fatimah M. Yusoff ◽  
Mohamed Shariff
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Vibrio Parahaemolyticus ◽  
East Coast ◽  
Draft Genome ◽  
Antibiotic Resistance Genes ◽  
Peninsular Malaysia ◽  
Penaeus Vannamei ◽  
Content Type ◽  
Acute Hepatopancreatic Necrosis Disease

We sequenced the genome of Vibrio parahaemolyticus strain ST17.P5-S1, isolated from Penaeus vannamei cultured in the east coast of Peninsular Malaysia. The strain contains several antibiotic resistance genes and a plasmid encoding the Photorhabdus insect-related (Pir) toxin-like genes, pirAvp and pirBvp, associated with acute hepatopancreatic necrosis disease (AHPND).

scholarly journals ENSO and Wintertime Extreme Precipitation Events over the Contiguous United States

2008 ◽  
Vol 21 (1) ◽  
pp. 22-39 ◽  
Author(s):  
Siegfried D. Schubert ◽  
Yehui Chang ◽  
Max J. Suarez ◽  
Philip J. Pegion
Keyword(s):  
United States ◽  
West Coast ◽  
Extreme Precipitation ◽  
East Coast ◽  
Daily Precipitation ◽  
Precipitation Variability ◽  
The West ◽  
Extreme Precipitation Events ◽  
The Impact ◽  
Precipitation Events

Abstract In this study the authors examine the impact of El Niño–Southern Oscillation (ENSO) on precipitation events over the continental United States using 49 winters (1949/50–1997/98) of daily precipitation observations and NCEP–NCAR reanalyses. The results are compared with those from an ensemble of nine atmospheric general circulation model (AGCM) simulations forced with observed SST for the same time period. Empirical orthogonal functions (EOFs) of the daily precipitation fields together with compositing techniques are used to identify and characterize the weather systems that dominate the winter precipitation variability. The time series of the principal components (PCs) associated with the leading EOFs are analyzed using generalized extreme value (GEV) distributions to quantify the impact of ENSO on the intensity of extreme precipitation events. The six leading EOFs of the observations are associated with major winter storm systems and account for more than 50% of the daily precipitation variability along the West Coast and over much of the eastern part of the country. Two of the leading EOFs (designated GC for Gulf Coast and EC for East Coast) together represent cyclones that develop in the Gulf of Mexico and occasionally move and/or redevelop along the East Coast producing large amounts of precipitation over much of the southern and eastern United States. Three of the leading EOFs represent storms that hit different sections of the West Coast (designated SW for Southwest coast, WC for the central West Coast, and NW for northwest coast), while another represents storms that affect the Midwest (designated by MW). The winter maxima of several of the leading PCs are significantly impacted by ENSO such that extreme GC, EC, and SW storms that occur on average only once every 20 years (20-yr storms) would occur on average in half that time under sustained El Niño conditions. In contrast, under La Niña conditions, 20-yr GC and EC storms would occur on average about once in 30 years, while there is little impact of La Niña on the intensity of the SW storms. The leading EOFs from the model simulations and their connections to ENSO are for the most part quite realistic. The model, in particular, does very well in simulating the impact of ENSO on the intensity of EC and GC storms. The main model discrepancies are the lack of SW storms and an overall underestimate of the daily precipitation variance.

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