Problem statement:The study area is frequently subjected to landslides especially alongside the E-W high way. This study demonstrates the implementation of the Frequency Ratio (FR) model with the aid of GIS tool to assess the contribution of every predisposing factor on landslides and produce a landslide susceptibility map to the area. Approach: A landslide location map of the study area was prepared based on the interpretation of aerial photographs, previous landslide maps and field surveys. In addition, ten relevant thematic maps representing considered factors were extracted from the constructed spatial database. Slope gradient, slope aspect, elevation, distance to road and drainage density, all were calculated from the topographic database; lithology, strata dip map and foliation dip map were generated from the geologic database; lineament density was prepared from Landsat-7 (ETM+) satellite image; and a soil map was prepared from the soil database. Results: relationship between landslides and instability factors was statistically evaluated by frequency ratio analysis. The results suggested that distance to road, lineament density and slope gradient are the most important factors effecting landslides. Frequency ratio values were used to produce the Landslide Susceptibility Index (LSI) with which the study area was divided into five zones of relative landslide susceptibility. Conclusion: The results of the analysis have been validated by calculating the AUC which shows an accuracy of 88.31% in the case of success rate curve and 84.68 % in the case of the prediction rate curve, indicating a high quality susceptibility map obtained from the FR model. The map could be used by decision makers as basic information for slope management and land use planning.
-The shortage of clean water occurs almost everywhere around the world. The demand for water supply increases from time to time due to various problems such as development, population growth, pollution, global warming, agricultural activities, logging, and so on. This study was conducted in the vicinity of Kota Kinabalu, Sabah, by using the Geographic Information System (GIS) for mapping the groundwater potential zones. The main objective of this study was to generate the predictive map of groundwater potential zones in the studied area through the integration of various thematic maps by using the GIS. This study includes five stages, namely collection and preparation of basic data, data analyses, development of space database, spatial analyses, and space integration. There are eleven parameters used in this study, namely rainfall, drainage, soil type, landuse, lithology, lineament density, topography, slope steepness, the ratio of sand and clay, major fault zones, and syncline zones. By using the Heuristic method, the final map of groundwater potential zones in the studied area is divided into five classes, which are very low, low, moderate, high, and very high.
Abstrak-Pemetaan zon potensi tanah runtuh dengan menggunakan kaedah GIS lazimnya melibatkan pertimbangan yang subjektif dan pertimbangan ini jika tidak dibimbing, boleh menyebabkan hasil yang diperolehi tidak tepat. Kertas ini membincangkan penggunaan teknik Faktor Penilaian Bencana Tanah Runtuh (LHEF) untuk memetakan zon potensi tanah runtuh untuk kawasan yang luas. Kaedah ini telah mempunyai faktor-faktor dan klasifikasi tanah runtuh yang telah ditetapkan dan ini dapat membantu pengkaji dalam pemetaan potensi tanah runtuh suatu kawasan dengan berpandukan ketetapan yang telah ada dalam kaedah ini. Sebanyak enam faktor tanah runtuh digunakan dalam kajian ini untuk memetakan zon potensi bencana tanah runtuh di sepanjang Lebuhraya Pantai Timur (LPT) km160-km190, Pahang. Faktorfaktor kebolehancaman tanah runtuh yang digunakan dalam kajian ini adalah litologi, jenis tanah, guna tanah, topografi, kecuraman cerun dan jumlah hujan tahunan. Satu peta potensi bencana tanah runtuh untuk kawasan kajian telah dihasilkan dan kawasan kajian telah dikelaskan kepada empat zon potensi dengan peratus keluasan daripada yang tertinggi iaitu zon potensi tinggi (38.9%), sangat tinggi (13.4%), sederhana (37.0%) dan rendah (10.7%). Faktor yang menyebabkan ketidakstabilan kepada kawasan kajian adalah litologi yang terdiri daripada batuan seperti syal, batu lodak, filit dan sabak serta jenis tanah yang mempunyai peratusan kandungan lempung yang tinggi. Faktor hujan pula dianggap sebagai faktor pencetus kepada ketidakstabilan yang berlaku di kawasan kajian. Berdasarkan penilaian peta dengan menggunakan kaedah correlation coefficient, ketepatan peta potensi bencana tanah runtuh berbanding taburan tanah runtuh bernilai 0.87. Nilai ini menunjukkan peta potensi bencana tanah runtuh kawasan kajian berdasarkan teknik Faktor Penilaian Tanah Bencana Tanah Runtuh (LHEF) akan menghasilkan peta potensi bencana tanah runtuh yang berketepatan tinggi.Abstract-The use of the GIS method in mapping zones of potential landslides usually involves subjective criteria which produce inaccurate results if the criteria are not proper. This paper discusses the use of a Landslide Hazard Evaluation Factor (LHEF) in mapping zones of landslide potential for a large area. The technique contains standardized factors and landslide classification that will aid researcher to map landslide potential of an area in accordance to the standard. Six landslide factors were used in this research to map the landslide hazard potential zone along km 160-km 190 of the East Coast Highway (ECE), Pahang. The landslide susceptibility factors used in this research are lithology, soil type, landuse, topography, slope steepness and annual rainfall. The landslide hazard potential map of the study area were produced and classified to four potential zones with the highest area percentage namely high potential (38. 9%), very high potential (13.4%), moderate (37.0%) and low potential (10.7%). Factors that caused instability of the study area are lithology such as shale, siltstone, phyllite and sl...
Together with other factors, geological factors such as lithology, bedding, fractures (lineaments), faults and folds playa very significant role in the movement and accumulation of groundwater in hard rock terrain. However, in most cases of groundwater potential mapping, only the role of lithology and lineaments are considered together with other non-geological factors. This paper will demonstrate the effect of faults and folds in groundwater potential mapping by using remote sensing and the geographic information system integration method. By incorporating faults and folds in the study, zones of groundwater potential become more focussed and well defined as compared to the result when only lithology and lineaments are considered. It is hoped that the derived ground water potential zonation map will be useful for further work in groundwater exploration of a selected area. Abstrak: Di samping faktor lain, faktor geologi seperti jenis litologi, perlapisan batuan, retakan (lineamen), sesar dan lipatan berperanan daripada segi pergerakan serta pengumpulan air tanah dalam terain berbatuan. Walau bagaimanapun, kebanyakan kajian tentang pemetaan potensi air tanah hanya mengambil kira faktor litologi dan juga lineamen di samping faktor bukan geologi yang lain. Kertas ini mempa:merkan kesan atau pengaruh faktor sesar dan lipatan dalam pemetaan potensi air tanah menggunakan kaedah integrasi penderiaan jauh dan sistem maklumat geografi. Kajian ini mendapati bahawa penzonan kawasan berpotensi air tanah lebih jelas dan terfokus jika dibandingkan dengan kajian yang hanya mengambil kira faktor litologi dan lineamen. Peta penzonan potensi air tanah yang terhasil diharapkan akan lebih membantu serta memudahkan kerja-kerja eksplorasi air tanah selanjutnya.
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