KESAN GEMPA BUMI RANAU TAHUN 2015 TERHADAP RISIKO BANJIR DI KOTA BELUD MENGGUNAKAN GIS
THE EFFECT OF THE 2015 RANAU EARTHQUAKE TOWARDS FLOOD RISK IN KOTA BELUD USING GIS
DOI:
https://doi.org/10.55197/qjssh.v5i2.361Keywords:
Kota Belud, banjir, sosio-ekonomi, GIS, sungaiAbstract
Pada tahun 5 Jun 2015, Sabah digemparkan dengan kejadian gempa bumi sekuat 5.9 skala richter yang menyebabkan sebilangan nyawa terkorban dan hartabenda. Fenomena ini juga menyebabkan perubahan fizikal muka bumi yang mengakibatkan frekuensi banjir di Kota Belud semakin meningkat. Kesan daripada frekunsi banjir ini memberi kesan kepada sosio-ekonomi penduduk di daerah tersebut dari aspek pendapatan, perniagaan, trauma, infrastruktur perhubungan terjejas dan juga tempat tinggal penduduk itu sendiri yang menjadi mangsa kepada banjir ini. Kajian ini bertujuan untuk mengenalpasti impak frekunsi banjir ini kepada penduduk di daerah Kota Belud dengan mengedarkan borang soal selidik di samping melawat kawasan kampung yang selalu terjejas dengan banjir. Secara kesuluruhan Analisis data adalah menggunakan kaedah Spatial Analysis (Arcgis) untuk mengesan kampung yang pempunyai kesan sosio-ekonomi dan hasil analisis soal selidik akan digunakan untuk menyokong dapatan analsis GIS. Kertas ini dapat disimpulkan bahawa terdapat hubungan antara kejadian frekuensi banjir dan implikasinya kepada penduduk kampung-kampung di Kota Belud berkaitrapat. Situasi ini akan dapat memberi gambaran yang lebih luas walaupun impak sosio ekonomi penduduk ini tidak dapat dilihat secara mata kasar dari pelbagai pihak.
References
Ali, A. (2021): Quantitative Data Analysis. – University of Sindh 9p.
Balasubramanian, A. (2016): Floods as Natural Hazards. – University of Mysore 9p.
Balasubramanian, A., Nagaraju, D. (1994): The Hydrologic Cycle. – International Geophysics 56(C): 115-135.
Chapman, D.V. (2021): Water quality assessments: a guide to the use of biota, sediments and water in environmental monitoring. – CRC Press 21p.
De Silva, M.M.G.T., Kawasaki, A. (2018): Socioeconomic Vulnerability to Disaster Risk: A Case Study of Flood and Drought Impact in a Rural Sri Lankan Community. – Ecological Economics 152: 131-140.
Doswell, C.A. (2003): Flooding. – Encyclopedia of Atmospheric Sciences 7p.
Easton, Z.M. (2020): Hydrology Basics and the Hydrologic Cycle. – Virginia Cooperative Extension 14p.
EcoAdapt Web Portal (2024): Socioeconomic Vulnerability Assessment. – EcoAdapt Web Portal 32p.
Gabriel (2019): GIS Book: Reclassifications. – GIS Crack Web Portal 4p.
Gerut, L.A., Eboy, O.V. (2023): Penilaian Kerentanan Zon Pinggir Pantai Terhadap Perubahan Iklim Menggunakan GIS Dan Penderiaan Jauh: Satu Kajian Literatur. – Jurnal Komunikasi Borneo (JKoB) 11: 274-284.
He, Y., Pappenberger, F., Manful, D., Cloke, H., Bates, P., Wetterhall, F., Parkes, B. (2013): Flood Inundation Dynamics and Socioeconomic Vulnerability under Environmental Change. – In Climate Vulnerability: Understanding and Addressing Threats to Essential Resources, Elsevier Inc. 5: 14p.
Hosseinzadeh, S.R. (2011): Drainage Network Analysis, Comparis of DigitalElevation Model (DEM) from ASTER with HighResolution Satellite Image and Areal Photographs. – International Journal of Environmental Science and Development 2(3): 194-198.
Kadir, A.A., Kaamin, M., Azizan, N.S., Sahat, S., Bukari, S.M., Mokhtar, M., Ngadiman, N., Hamid, N.B. (2016): Application of Geographic Information Systems (GIS) in Analysing Rainfall Distribution Patterns in Batu Pahat District. – IOP Conference Series: Materials Science and Engineering 136(1): 9p.
Krishnamoorthi, N. (2016): Role of Remote Sensing and GIS in Natural Disaster Management Cycle. – Imperial Journal of Interdisciplinary Research (IJIR) 2(3): 144-154.
Liyana, N., Roslan, B., Ibrahim, Z. (2016): The Mechanics of Natural Straight River during Flooding and Non-flooding. – Universiti Teknologi Malaysia 14p.
Montz, B.E., Tobin, G.A. (2012): Natural Hazards and Natural Disasters. – 21st Century Geography: A Reference Handbook 9p.
Pandey, R.P., Desai, M., Panwar, R. (2023): Hybrid deep learning model for flood frequency assessment and flood forecasting. – Multidisciplinary Science Journal 5: 8p.
Pingel, T. (2018): The Raster Data Model. – The Geographic Information Science & Technology Body of Knowledge 8p.
Plakhotnyk, A. (2017): Building DEM in Arcgis with Contour Data. – 50°North Web Portal 13p.
Sarsani, M.R. (2011): Socio-Economic status and performance on creativity tests. – Encyclopedia of Creativity 4p.
Sharir, K., Roslee, R. (2023): Analisis Indeks Kemudahterancaman Banjir Secara Fizikal, Sosial dan Persekitaran di Kawasan Kota Belud, Sabah, Malaysia. – Sains Malaysiana 52(6): 1619-1633.
Sieng, K.T., Eboy, O.V., Pugh-Kitingan, J., Bee, B.B.B., Bagul, A.H.B.P., Baco, Z. (2023): Megalithic stone heritage trail mapping using GIS as tourism product for cultural sustainability in Tambunan. – Sustainability 15(4): 15p.
Somantri, L. (2018): Land Use: One of Essential Geography Concept Based on Remote Sensing Technology. In IOP Conference Series: Earth and Environmental Science, IOP Publishing 145(1): 6p.
Suraj, R., Neelakantan, R. (2013): Detection of land use pattern changes and management priorities for Thrissur district, Kerala, India. – Int. J. of Remote Sens. & Geoscience 2(1): 22-29.
University Corporation for Atmospheric Research (UCAR) (2023): The Water Cycle. – UCAR Web Portal 9p.
Valentine Eboy, O., Chan Kim Lian, J. (2021): Application of GIS in Identifying Potential Site For River Tourism Activities Along The Petagas River. – Ilkogretim Online 20(4): 743-752.
Water Science School (2022): The water cycle. – United State Geological Survey (USGS) Web Portal 4p.
Wei, X., Eboy, O.V., Cao, G., Xu, L. (2023): Spatio-temporal variation of water conservation and its impact factors on the southern slope of Qilian Mountains. – Regional Sustainability 4(1): 54-67.
Yaakup, A., Johar, F., Dahlan, N.A. (1997): GIS and decision support systems for local authorities in Malaysia. – In: Timmermans H (ed.) Decision Support System in Urban Planning, London: E & FN SPON 16p.
Yuan, F., Zhang, L., Wah Win, K.W., Ren, L., Zhao, C., Zhu, Y., Jiang, S., Liu, Y. (2017): Assessment of GPM and TRMM multi-satellite precipitation products in streamflow simulations in a data sparse mountainous watershed in Myanmar. – Remote Sensing 9(3): 23p.
Zhou, Q. (2017): Digital Elevation Model and Digital Surface Model. – International Encyclopedia of Geography: People, the Earth, Environment and Technology 17p.