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Proximity matrix analysis for a study on the impact of tourism activity on the economic of vendors at Bukit Maras, Terengganu, Malaysia

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AIP Conference Proceedings 2021年第1期2355卷

作者： Ummu Atiqah Mohd Roslan Mohd Naim Fadhli Mohd Radzi Siti Marsila Mhd Ruslan Muhamad Fairus Noor Hassim Mohd lzham Mohd A. Wahid Amirrudin Ahmad 1Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. 2Marine Management Science Research Group Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. 3Faculty of Science and Marine Environment Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. 4Faculty of Maritime Studies Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. 5Biological Security and Sustainability Research Group Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. 6Corporate Communication Centre Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia.

Bukit Maras, one of the recreational areas in Terengganu enJoys a steady influx of hikers and recreational visitors yearly with an adequate development in terms of facility. Nevertheless, there is no clear indicator to measure the sustainab ility of ecotourism on the economic improvement of the locals. Thus, this study was conducted to assess the impact of tourist, specifically on one of the primary beneficiary of tourism activity which are the local vendors. Questionnaire was developed for two categories of respondents, the visitors and local vendors regarding several elements of Bukit Maras tourism as well as visitors spending habits and vendor’s income. The data obtained were then analysed using the proximity matrix analysis and visualised as heat map. A very positive response regarding tourism of Bukit Maras were recorded for both visitors and vendors. However, most visitors (79%) spend less than RM50 on site. Additionally, several elements evaluated by the visitors such as the facilities, environment and vendors’ behavior have been ide ntified to have a positive correlation with an improvement in the vendor’s income. This indicates that although positive ratings ha ve been given by the visitors on Bukit Maras, it does not affect both the expenditure of visitors and income of the vendors. Thus, there is need for improvement in the current management of Bukit Maras eco-tourism; focusing on the sustainable income of the local vendor.

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Annual and Diurnal Trend of Surface Ozone (O3) in Industrial Area

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IOP Conference Series: Earth and Environmental Science 2020年第1期498卷

作者： N N L Mohd Napi S Abdullah A N Ahmed A Abu Mansor M Ismail Air Quality and Environment Research Group Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. Institute of Engineering Infrastructures Universiti Tenaga Nasional Bangi Selangor Malaysia. Faculty of Engineering Universiti Tenaga National 43650 Bangi Selangor Malaysia. Faculty of Science and Marine Environment Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. Institute of Tropical Biodiversity and Sustainable Development (BIO-D TROPIKA) Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia.

Malaysia is a developing country that facing air pollution issues due to industrialization, urbanization activities and population growth. Ozone (O3) is one of the pollutants that can give adverse effects to human health either in long- term or short-term effect. Moreover, it also can interrupt the normal ecosystem and cause extinction in species. This study aims to analyse the annual trends of the concentration of ozone (O3) level for 3-year and the diurnal trends of ozone at Kemaman, Terengganu. One-way Analysis of Variance (ANOVA) revealed that there exists statistically significant different (p<0.05) of O3 concentrations during year 2012-2014. Meanwhile, diurnal trend showed the lowest O3 concentration values in the morning and the highest average concentration values of O3 in the noon, but it starts to decrease gradually in evening and night. The understanding of the ozone trend, yearly and hourly, can helps in tackling the atmospheric pollution problems due to industrialization in Malaysia.

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Erosion and Sedimentation at Headwater Stream: A Case Study for Pergau Water Intake

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IOP Conference Series: Earth and Environmental Science 2020年第1期549卷

作者： Mohd Sofiyan Sulaiman Mohamad Faiz Mohd Amin Abdul Hafidz Yusoff Mohd Fikri Samsudin Aisah Md Shukor Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Nerus. Terengganu Malaysia Faculty of Earth Science Universiti Malaysia Kelantan Jeli Campus Locked Bag No. 100 17600 Jeli Kelantan Malaysia Advanced Materials Research Cluster Faculty of Bioengineering and Technology Universiti Malaysia Kelantan Jeli Campus Locked Bag No. 100 17600 Jeli Kelantan Malaysia TNB Research Sdn. Bhd. No 1 Lorong Ayer Hitam Kawasan Institusi Penyelidikan 43000 Kajang Selangor Malaysia

Headwater stream can be defined as colluvial and fluvial system located at mountainous areas where stream order of less than four is recorded from the source to the outlet point of interest. This river system is crucial not only for impounding activities but high kinetic energy at highland areas able to entrain and transport large amount of sediment particles from upstream to the downstream river reach. Due to strategic location for water intake facilities, a study was carried out to determine the extent of erosion and sedimentation process at Pergau water intakes that conveyed water into Pergau Lake. Three specific aims were formulated: Soil loss determination at catchment scale, sediment load determination at reach scale and river bank stability and toe erosion near the intake facility. A desktop study using remote sensing and GIS tools was executed to determine the extent of soil loss at catchment scale. The sediment load and river bank stability were measured in the field using wading technique. It was concluded that all seven TNB water intake are having low soil loss rate (<10 ton/***) should the current settings of forest land cover is maintained. The recorded sediment load (bed load) only occurred at Suda and Renyok 1 water intake with a rate of 0.0024 kg/s and 0.03 kg/s, respectively. High eroded material at toe was simulated at Renyok 1 and Suda Intake. The high sediment load at Renyok 1 is a manifest from unstable toe material near the water intake. Therefore, a close monitoring should be attained at the upstream from Renyok 1 intake to assess any land use change or disturbance activities.

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Multiple Linear Regression (MLR) and Principal Component Regression (PCR) for Ozone (O3) Concentrations Prediction

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IOP Conference Series: Earth and Environmental Science 2020年第1期616卷

作者： Nur Nazmi Liyana Mohd Napi Mohammad Syazwan Noor Mohamed Samsuri Abdullah Amalina Abu Mansor Ali Najah Ahmed Marzuki Ismail Air Quality and Environment Research Group Faculty of Ocean Engineering Technology and Informatics University Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia Faculty of Science and Marine Environment University Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia Institute of Energy Infrastructure (IEI) Department of Civil Engineering College of Engi-neering Universiti Tenaga Nasional (UNITEN) Kajang Selangor Darul Ehsan 43000 Malaysia Institute of Tropical Biodiversity and Sustainable Development Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia

Rapid economic growth has led to an increase in ozone (O3) concentration which significantly affecting human health and environment. The prediction of O3 is complicated due to the redundancy of influencing parameters which introduce the multicollinearity problem. The aim of this study is to assess the best prediction model for O3 concentration which is Multiple Linear Regression (MLR) and Principle Component Regression (PCR). Data from 2012 to 2014 were used including O3, nitrogen dioxide (NO2), nitrogen oxide (O2), temperature, relative humidity and wind speed on hourly basis. Principle Component Analysis (PCA) was used in order to reduce multicollinearity problem, prior to the implementation of MLR. The hybrid model of PCR was selected as best -fitted models as it had higher correlation coefficient, R2 values compared with MLR model. In conclusion, the information from best-fitted prediction model can be used by local authorities to plan the precaution measure in combating and preserve the better air quality level.

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Assessment of the air quality parameter at Melaka: Jonker Walk and Surrounding Area

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IOP Conference Series: Earth and Environmental Science 2019年第1期373卷

作者： Nurul Ashraf Razali Wan Nurdiyana Wan Mansor Samsuri Abdullah Aliashim Albani Mohammad Fakhratul Ridwan Zulkifli Mohd Sabri Mohd Ghazali Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Malaysia Air Quality and Environment Research Group University Malaysia Terengganu 21030 Nerus Terengganu Malaysia Faculty of Science and Marine Environment Universiti Malaysia Terengganu Terengganu Malaysia

Melaka has been ruled by Portuguese, Dutch and British and well known with its historical background. Melaka also becomes an attraction for tourism; thus give positive impacts to local economies. Tourist, bus driver and the traders working along the main roads are amongst the people who affected with air pollution. In this study, data was collected at the Jonker Walk and surrounding area using VelociCalc/Q-trak 7575 by TSI. The measurement was taken at every 1-minute data for an interval of 60-minutes along the route. Data for carbon monoxide (CO) were measured using electrochemical method, while carbon dioxide (CO2) were measured using non-dispersive infrared (NDIR) technique. Other data such as temperature and relative humidity were also measured using the same instrument. Findings showed that the concentration of CO2 was the highest from 6.00 pm to 7.00 pm with a concentration of 934 ppm. The maximum median was found from 7.00 to 8.00 pm with 350 ppm, which was in the range of the ASHRAE limit. The highest value of CO was observed from 7.00 to 8.00 pm at 8.6 ppm with a median of 1.25 ppm. The 1-hour averaging time showed low concentration for CO level at 1.953 ppm which was below the acceptable limit of 35 ppm. Statistical analysis showed that there is no correlation between CO2 and CO. Moderate relationship exists between CO2 and temperature, CO and temperature and CO and *** findings provide useful information for the tourists during their Melaka visit.

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Erratum to "Willingness among food consumers to recycle human urine as crop fertiliser: Evidence from a multinational survey" [Sci. Total Environ. 765 (2021), 144438]

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The Science of the total environment 2021年 790卷 148318页

作者： Prithvi Simha Melissa A Barton Luis Fernando Perez-Mercado Jennifer R McConville Cecilia Lalander Maria Elisa Magri Shanta Dutta Humayun Kabir Albert Selvakumar Xiaoqin Zhou Tristan Martin Thanasis Kizos Rupam Kataki Yoram Gerchman Ronit Herscu-Kluska Dheaya Alrousan Eng Giap Goh Daniela Elenciuc Aleksandra Głowacka Laura Korculanin Rongyu Veneta Tzeng Saikat Sinha Ray Charles Niwagaba Christine Prouty James R Mihelcic Björn Vinnerås Swedish University of Agricultural Sciences Department of Energy and Technology Box 7032 SE-750 07 Uppsala Sweden. Electronic address: Prithvi.Simha@slu.se. Swedish University of Agricultural Sciences Department of Energy and Technology Box 7032 SE-750 07 Uppsala Sweden. Swedish University of Agricultural Sciences Department of Energy and Technology Box 7032 SE-750 07 Uppsala Sweden Center for Water and Environmental Sanitation (Centro de Aguas y Saneamiento Ambiental CASA) Universidad Mayor de San Simon Calle Sucre y Parque Latorre Cochabamba Bolivia. Universidade Federal de Santa Catarina Department of Sanitary and Environmental Engineering Florianópolis Brazil. Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong China. Department of Agricultural Economics Bangladesh Agricultural University Mymensingh 2202 Bangladesh. College of Engineering and Technology Samara University Ethiopia. School of Energy and Environmental Engineering Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants University of Science and Technology Beijing Beijing 100083 China. Université Paris-Saclay INRAE AgroParisTech UMR ECOSYS Avenue Lucien Bretignières 78850 Thiverval-Grignon France. Department of Geography University of the Aegean GR-81100 Mytilene Greece. Department of Energy Tezpur University Tezpur India. Department of Biology and Environment Faculty of Natural Sciences University of Haifa Oranim Tivon 36006 Israel Oranim College Kiryat Tivon 36006 Israel. Department of Water Management and Environment Faculty of Natural Resources and Environment The Hashemite University P.O. Box 150459 Zarqa 13115 Jordan. Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Terengganu Terengganu Malaysia. University of Academy of Sciences of Moldova Chișinău Moldavia. University of Life Sciences in Lublin Faculty of Agrobioengineering 15 Akademicka Str

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INTRODUCTION

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Bulletin of the American Meteorological Society 2024年第8期105卷 S1-S11页

作者： Boyer, T. Blunden, J. Dunn, R.J.H. NOAA/NESDIS National Centers for Environmental Information Silver Spring Maryland NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Scripps Institution of Oceanography University of California San Diego La Jolla California NOAA/NWS National Centers for Environmental Prediction Climate Prediction Center College Park Maryland Brandenburg University of Technology (BTU) Cottbus-Senftenberg Germany Servicio Meteorológico Nacional Buenos Aires Argentina NOAA/OAR Physical Sciences Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Bonn Germany Center for Geophysical Research and School of Physics University of Costa Rica San José Costa Rica Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Centro Nacional de Monitoramento e Alertas de Desastres Naturais CEMADEN São Paulo Brazil Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Hampton University Hampton Virginia Seychelles Meteorological Authority Mahe Seychelles Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder Colorado Servicio Nacional de Meteorología e Hidrología del Perú Lima Perú Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Department o

In 2023, La Niña conditions that generally prevailed in the eastern Pacific ocean from mid-2020 into early 2023 gave way to a strong El Niño by October. Atmospheric concentrations of Earth’s major greenhouse gases—carbon dioxide, methane, and nitrous oxide—all increased to record-high levels. The annual global average carbon dioxide concentration in the atmosphere rose to 419.3±0.1 ppm, which is 50% greater than the pre-industrial level. The growth from 2022 to 2023 was 2.8 ppm, the fourth highest in the record since the 1960s. The combined short-term effects of El Niño and the long-term effects of increasing levels of heat-trapping gases in the atmosphere contributed to new records for many essential climate variables reported here. The annual global temperature across land and oceans was the highest in records dating as far back as 1850, with the last seven months (June–December) having each been record warm. Over land, the globally averaged temperature was also record high. Dozens of countries reported record or near-record warmth for the year, including China and continental Europe as a whole (warmest on record), India and Russia (second warmest), and Canada (third warmest). Intense and widespread heatwaves were reported around the world. In Vietnam, an all-time national maximum temperature record of 44.2°C was observed at Tuong Duong on 7 May, surpassing the previous record of 43.4°C at Huong Khe on 20 April 2019. In Brazil, the air temperature reached 44.8°C in Araçuaí in Minas Gerais on 20 November, potentially a new national record and 12.8°C above normal. The effect of rising temperatures was apparent in the cryosphere, where snow cover extent by June 2023 was the smallest in the 56-year record for North America and seventh smallest for the Northern Hemisphere overall. Heatwaves contributed to the greatest average mass balance loss for Alpine glaciers around the world since the start of the record in 1970. Due to rapid volume loss beginning in 2021, St. A

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GLOBAL CLIMATE

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Bulletin of the American Meteorological Society 2024年第8期105卷 S12-S155页

作者： Dunn, R.J.H. Blannin, J. Gobron, N. Miller, J.B. Willett, K.M. Met Office Hadley Centre Exeter United Kingdom European Commission Joint Research Centre Ispra Italy NOAA Global Monitoring Laboratory Boulder Colorado European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland European Centre for Medium-Range Weather Forecasts Bonn Germany Department of Meteorology and National Centre for Earth Observation University of Reading Reading United Kingdom Hampton University Hampton Virginia National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Agriculture Osaka Metropolitan University Sakai Japan NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina Science Faculty Universidad Nacional de Colombia Bogotá Colombia University of Bremen Bremen Germany Centro de Investigaciones sobre Desertificación – Spanish National Research Council (CSIC-UV-GVA) Valencia Spain Hydro-Climate Extremes Lab (H-CEL) Ghent University Ghent Belgium Laboratoire des Sciences du Climat et de l’Environnement (LSCE) LSCE/IPSL CEA-CNRS-UVSQ Gif-sur-Yvette France Instituto de Geografía Pontificia Universidad Católica de Valparaíso Valparaíso Chile Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia University of Reading Reading United Kingdom Institute Pierre Simon Laplace (IPSL) Guyancourt France School of Engineering Newcastle University Newcastle-upon-Tyne United Kingdom Université Paris Cité Institut de physique du globe de Paris CNRS IGN F-75005 Paris France Univ Gustave Eiffel ENSG IGN F-77455 Marne-la-Vallée France Laboratoire EDYTEM CNRS/Université Savoie Mont-Blanc Le Bourget-du-Lac France Global Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt Maryland Universität Hamburg Hamburg Germany Climate Dynamics Lab University of St Andrews St Andrews United Kingdom Ea

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The Computational Model for Environment Quality Measurement

The Computational Model for Environment Quality Measurement

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Computing Conference

作者： Jamaiah H. Yahaya Aziz Deraman Abdul Razak Hamdan Noor Zaitun Yahaya Izhar Abadi Ibrahim Rais Mohamed Shahrir M. Zahari Faculty of Information Science and Technology Universiti Kebangsaan Malaysia School of Informatics and Applied Mathematics Universiti Malaysia Terengganu School of Ocean Engineering Universiti Malaysia Terengganu Mineral Research Centre Department of Mineral and Geoscience School of Foundation and Liberal Education Universiti Malaysia Terengganu

ISBN: (纸本)9781509054442

The development of quarry management and monitoring system with systematic modelling and architecture is a valuable and attentive solution to assure the management of dynamic environmental data object to be more reachable and expandable to various domains. The simplified but comprehensive dataset is applicable for excellent and expanded analysis as require by the domain experts for better decision making. This research attempts to establish the modelling of environmental quarry components which are particles, vibration and noise (PVN) and the relationship and connectivity into another form of environmental digital objects (EDOs). This research aims to develop an exclusive quarry management and monitoring system (EQMMS) that utilized a new integrated environmental digital object model (iEDO). This model allows sharing and manipulating information with a knowledge discovery through related objects in the environment to produce new integrated EDOs. During site visit, observations and discussions with experts have discovered that environment data is confined to the local format and requirements. This study involves three main quarry components and formula representation which are applied in the computational model for environment quality measurements in Malaysia quarry industry and can used in future related research.

关键词： Environmental Digital Object Computational Model Environment Quality Measurement

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Bio-Inspired Locomotion Control of Limbless Robots 1

Bio-Inspired Locomotion Control of Limbless Robots

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1000年

作者： Guoyuan Li Houxiang Zhang Jianwei Zhang

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