This study was carried out on the hilly topographic area in Kundasang, Sabah. This area is known to be extremely prone to landslides that occurred either naturally or by human interference to natural slopes. Aerial photographs interpretation was conducted in order to identify landslide distributions across three assessment years (2012, 2009 and 1984
This study focused on the Landslide Susceptibility Analysis (LSA) of the Karak highway, which link the Genting Sempah to Bentong area, Pahang. The physical relief of the study area is largely flat to undulating and moderately rough to steep mostly. The aims of this study are to identify the landslide prone area and to produce the Landslide Susceptibility Level (LSL) map using Weighted Overlay Method (WOM) integrated with Geographic Information System (GIS) and remote sensing techniques. Landslide locations were identified in the study area from imagery and aerial photograph interpretations followed by field work observation. The topographic, geologic data and satellite images were collected, processed and constructed into a spatial database using image processing. The factors that influence landslide occurrences such as slope gradient, slope aspect, topographic curvature and distance from drainage were retrieved from the topographic database. Geomorphology, lithology and geological structure were generated from the geologic database; whereas land use and soil types from SPOT satellite data image. Several areas are considered as susceptible, such as areas of Ladang Fook Who, Kg. Temiang, Ladang Ng Chin Siu, Kemajuan Tanah Genting Pandak, Kg. Lentang, Kg. Baharu Bt. Tinggi and Ladang Pandak. To avoid or minimize the landslide occurrences, development planning has to consider the hazard and environmental management program. This engineering geological study may play a vital role in Landslide Risk Management (LRM) to ensure the public safety.
Geotourism is a means in geology that contributes to one of the 17 sustainable development goals (SDGs). One of the key areas in geology that can contribute to geotourism activities is hot spring exploration. This study, therefore explores hot springs in Hulu Langat, Selangor for their potential in geotourism based on their physico-chemical properties and their attributed health benefits potential. These renowned hot springs are Batu 16, Dusun Tua, National Youth Training Institute (IKBN), Sg. Serai, and Sg. Lalang. Despite their popularity among tourists, their health benefits potential remain unclear. Therefore, the physico-chemical properties of these hot springs and their potential health benefits as indicated by the abundance of trace elements in each site will be determined in this study. The temperature (℃), conductivity (µs/ cm), total dissolved solid (mg/L), salinity (ppt), dissolved oxygen (mg/L) and pH values of the hot springs have been measured in-situ, and the concentrations of trace elements (Si, Li, Fe, and Cu) in hot springs water have been determined in the laboratory. Based on the in-situ measurement results, the hot springs are classified according to their pH and temperature. The pH value range from 6. 83-8.71 shows that these hot springs are neutral to weak alkaline. The lowest temperature (40.47°C) has been recorded in Dusun Tua hot spring, whereas the highest temperatures (70.41-74.03°C) have been observed in IKBN hot springs. High concentrations of Si, Li, Na, K, As and Cu are found in Batu 16 hot spring. The concentrations of Fe and Ca are higher in Sg. Serai and Sg. Lalang hot springs, and the highest K concentration is found in Dusun Tua hot spring. The other concentration of trace elements are generally low and similar across hot springs. Given the abundance of trace elements, the hot springs could possibly cure certain diseases, such as psoriasis and eczema. The Batu 16, Sg. Serai and Sg Lalang hot springs have the potential to be developed as important sites for health geotourism industries due to the high trace elements concentration. Thus, this study may serve as a basis for further investigations on this aspect. kelimpahan unsur surih di setiap lokasi akan ditentukan dalam kajian ini. Suhu (℃), kekonduksian elektrik (µs/cm), jumlah pepejal terlarut (mg/L), kemasinan (ppt), oksigen terlarut (mg/L) dan nilai pH mata air panas diukur secara insitu, dan kepekatan unsur kimia (Si, Li, Fe, Cu) di dalam mata air panas ditentukan melalui kajian makmal. Berdasarkan hasil pengukuran in-situ, mata air panas dikelaskan berdasarkan nilai pH dan suhunya. Julat pH adalah 6.83-8.71 menunjukkan mata air panas ini adalah neutral ke alkali lemah. Suhu paling rendah (40.47°C) telah direkodkan di mata air panas Dusun Tua, manakala suhu tertinggi (70.41-74.03°C) telah didapati di mata air IKBN. Kepekatan Si, Li, Na, K, As dan Cu yang tinggi ditemukan di mata air panas Batu 16. Kepekatan Fe dan Ca didapati lebih tinggi di Sg Serai dan Sg Lalang, manakala kepekatan K tertinggi ditemukan di mata air ...
-The topic on Landslide Vulnerability Assessment (LVAs) in Malaysia is relatively new and received little attention from geoscientists and engineers. This research paper tries to formulate the concept of LVAs by taking into account the science and socio-economic aspects. A new approach in vulnerability concept is also introduced herein. To achieve this goal, a framework was designed for assessing the LVAs. The framework was formulated semiquantitatively through the development of database for the risk elements (human and properties) based on information from secondary data (technical reports), extensive review of literature, and field observations. The vulnerability parameters included in assessing LVAs are 1) physical implication (building structures, internal materials, property damage, infrastructural facilities, and stabilization actions), 2) social status (injury, fatalities, safety, loss of accommodation, and public awareness), and 3) interference on environment (affected period, daily operation, and diversity). Each considered parameter in the vulnerability assessment is allocated with a certain index value ranges from 0 (0 % damage/victims/period), 0.25 (1 -25% damage/victims/period), 0.50 (26 -50% damage/victims/period), 0.75 (51 -75% damage/victims/period), and 1.00 (75 -100% damage/victims/period). All of these parameters are compiled and analyzed with "Landslide Distribution Map" (LDM) to generate a "Landslide Vulnerability Degree map (LVD)". The LDM was produced based on field studies and satellite image interpretations in order to locate the landslide locations in the studied area. Finally, three types of physical, human, and environment vulnerabilities were then classified into five classes of vulnerabilities, namely: Class 1 (< 0.20): Very Low Vulnerability; Class 2 (0.21 -0.40): Low Vulnerability; Class 3 (0.41 -0.60): Medium Vulnerability; Class 4 (0.61 -0.80): High Vulnerability); and Class 5 (> 0.81): Very High Vulnerability. Results from this study indicate that a further study is needed to the areas of high to very high vulnerability only. This LVAs approach is suitable as a guideline for preliminary development planning, controlling, and managing the landslide hazard /risk in the studied area and potentially to be extended with different background environments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.