scholarly journals Assessment of landslide risk in the mountainous area. Case study: Bumiaji Sub-District

2021 ◽  
Vol 916 (1) ◽  
pp. 012009
Author(s):  
A R A Prasetya ◽  
T A Rachmawati ◽  
F Usman
Keyword(s):  
Secondary Data ◽  
Risk Level ◽  
Landslide Risk ◽  
Mountainous Area ◽  
Tourist Destinations ◽  
Digital Elevation ◽  
Medium Level ◽  
Hazard Level ◽  
Elevation Model ◽  
High Level

Abstract Throughout 2016-2021, there were 31 landslides that have caused physical, economic, and social damages. Bumiaji Sub-District has several tourist destinations that are potentially exposed to landslides. This study aims to create a landslide risk map in Bumiaji Sub-District. This research was conducted during the COVID-19 pandemic situation. Therefore, the data collected was secondary data obtained from Google satellite images, Google Street View, the digital elevation model from the National Geospatial Institution, and other literature reviews. The data was then analysed using a landslide risk assessment based on Perka BNPB Number 2/2012. The results of this risk analysis show that Bumiaji Sub-District is dominated by low-level risk (48%), followed by high-level risk (30%), and medium-level risk (15%). High-risk level is affected by high hazards and vulnerabilities, especially in Giripurno Village. High hazard level is affected by high intensity of rainfall, slope degree, the sensitivity of soil to erosion, and the type of land cover. High vulnerabilities are affected by physical, social, and economic aspects susceptible to losses.

scholarly journals IMPACT OF KVK IN DOUBLING FARMERS INCOME IN SITAPUR DISTRICT OF UTTAR PRADESH

2021 ◽  
Vol 8 (9) ◽  
pp. 92-105
Author(s):  
Ritesh Kumar Yadav ◽  
Jahanara Jahanara
Keyword(s):  
Agricultural Sector ◽  
Uttar Pradesh ◽  
Secondary Data ◽  
Learning By Doing ◽  
Primary Data ◽  
Technology Generation ◽  
Farming Community ◽  
Medium Level ◽  
High Level ◽  
The Impact

More than half of Indian population were engaged in agricultural sector but the available technology doesn’t ensure food security of the country. Hence, to diffuse new agricultural invention and innovation in the farming community, there arises a need for effective medium for transfer of technology. Thus, KVK bridges the gap between the technology generation and dissemination. The present study was proposed to understand the impact of KVK in doubling farmers income to formulate suitable programmes. For the study, descriptive research design was adopted. 120 respondents from Biswan taluk of Sitapur district of Uttar Pradesh were selected as respondents. Primary data collected from respondents and secondary data from available literatures. The findings revealed that majority of the respondents were middle aged, illiterate, upto 5 members in their family, medium level of annual income, possesses their own land, agriculture as their main occupation, medium level of mass media exposure, office bearer in one organization, high level of extension contact. Meanwhile, more than half of the respondents had reported medium level of impact towards the activities carried out by KVK, beneficiary selection is not unbiased is a major constraint suggested that maximum emphasis should be given on learning by doing.

scholarly journals Risk analysis of landslide as a basis of mitigation plan: a case study of Mangunan Village, Bantul, Indonesia

2021 ◽  
Vol 933 (1) ◽  
pp. 012034
Author(s):  
S Aminatun ◽  
Jafar ◽  
A U Jamal
Keyword(s):  
High Capacity ◽  
Secondary Data ◽  
Primary Data ◽  
Risk Level ◽  
Eastern Region ◽  
Infrastructure Development ◽  
Risk Map ◽  
Risk Zone ◽  
Capacity Level ◽  
Hazard Level

Abstract When rainy season comes, in Mangunan Village, landslide occurs frequently. Mangunan is one of the villages in Bantul District that possesses high intensity of landslide events. Located in a contoured hilly area on the eastern region of Bantul District is one of the reasons. This study aims to analyze the risk of landslide in Mangunan by detailing the risk map, which constitutes a general risk map, and to identify the number of households that are currently residing in each risk-zone area. In this study, we applied a descriptive method that combined both qualitative and quantitative approaches in order to generate a good depiction of settlements in each risk-zone area. The data of this study can be classified into two categories, primary and secondary data. Primary data were obtained from field activities such as interviews and field documentation. Meanwhile, secondary data were obtained from archives, notes, or reports from related agencies. The results of this study are: 1) the number of settlements that are located in high- and medium-vulnerability areas are 143 and 12, respectively; 2) Mangunan Village possesses high hazard level, medium to high vulnerability level, and high-capacity level which means the village has medium to high risk level; 3) Recommendations of infrastructure development for landslide mitigation.

scholarly journals Potential of Sentinel-2 Images for Estimating of Soil Resistivity over Agricultural Fields

Proceedings ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 18
Author(s):  
Remy Fieuzal ◽  
Vincent Bustillo ◽  
David Collado ◽  
Gerard Dedieu
Keyword(s):  
Electrical Resistivity ◽  
Near Infrared ◽  
Soil Layers ◽  
Digital Elevation ◽  
Combined Use ◽  
Input Variables ◽  
Elevation Model ◽  
High Level ◽  
Sentinel 2 ◽  
Soil Electrical Resistivity

The aim of this study is to assess the possibilities of the VNIR (Visible and Near InfraRed) and SWIR (Short Wavelength InfraRed) satellite data for estimating intra-plot patterns of soil electrical resistivity consistent with ground measurements. The methodology is based on optical reflectances that constitute the input variables of random forest, alone or in combination with parameters derived from a digital elevation model (DEM). Over a field located in southwestern France, the results show high level of accuracy for the 0–50 and 0–100 cm soil layers (with R² of 0.69 and 0.59, and a relative RMSE of 18% and 16%, respectively), the performances being lower for the 0–170 cm layer (R² of 0.39, relative RMSE of 20%). The combined use of optical reflectances with parameters derived from the DEM slightly improves the performances, whatever the considered layer. The influence of each reflectance on soil electrical resistivity estimates is finally analyzed, showing that the wavelengths acquired in the SWIR have a relative higher importance than VNIR reflectance.

scholarly journals Spatial Downscaling of GPM Annual and Monthly Precipitation Using Regression-Based Algorithms in a Mountainous Area

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Chesheng Zhan ◽  
Jian Han ◽  
Shi Hu ◽  
Liangmeizi Liu ◽  
Yuxuan Dong
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Mountainous Area ◽  
Monthly Precipitation ◽  
Practical Applications ◽  
Precipitation Measurement ◽  
Digital Elevation ◽  
Elevation Model ◽  
Global Precipitation ◽  
Spatial Downscaling

As a fundamental component in material and energy circulation, precipitation with high resolution and accuracy is of great significance for hydrological, meteorological, and ecological studies. Since satellite measured precipitation is often too coarse for practical applications, it is essential to develop spatial downscaling algorithms. In this study, we investigated two downscaling algorithms based on the Multiple Linear Regression (MLR) and the Geographically Weighted Regression (GWR), respectively. They were employed to downscale annual and monthly precipitation obtained from the Global Precipitation Measurement (GPM) Mission in Hengduan Mountains, Southwestern China, from 10 km × 10 km to 1 km × 1 km. Ground observations were then used to validate the accuracy of downscaled precipitation. The results showed that (1) GWR performed much better than MLR to regress precipitation on Normalized Difference Vegetation Index (NDVI) and Digital Elevation Model (DEM); (2) coefficients of GWR models showed strong spatial nonstationarity, but the spatial mean standardized coefficients were very similar to standardized coefficients of MLR in terms of intra-annual patterns: generally NDVI was positively related to precipitation when monthly precipitation was under 166 mm; DEM was negatively related to precipitation, especially in wet months like July and August; contribution of DEM to precipitation was greater than that of NDVI; (3) residuals’ correction was indispensable for the MLR-based algorithm but should be removed from the GWR-based algorithm; (4) the GWR-based algorithm rather than the MLR-based algorithm produced more accurate precipitation than original GPM precipitation. These results indicated that GWR is a promising method in satellite precipitation downscaling researches and needed to be further studied.

scholarly journals Tsunami risk levels mapping in Puger Sub-District, Jember Regency

2021 ◽  
Vol 930 (1) ◽  
pp. 012094
Author(s):  
E P Anindia ◽  
E Hidayah ◽  
R U A Wiyono
Keyword(s):  
Tsunami Hazard ◽  
Weighting Method ◽  
Risk Levels ◽  
Low Level ◽  
Prone Area ◽  
Medium Level ◽  
Run Up ◽  
Hazard Level ◽  
Tsunami Run Up ◽  
High Level

Abstract Puger sub-district is categorized as a tsunami-prone area because of its location in the South Coast, directly facing the Indian Ocean, which is the meeting point for two active tectonic plates. The active plate zone is prone to causing earthquakes that raise tsunamis. This article will describe the tsunami hazard and vulnerability level in Puger sub-district using the Geographic Information System (GIS) application. The method in this study uses a weighted overlay method. The weighting method is carried out to determine the level of tsunami hazard and vulnerability by following the weighting criteria in previous studies. Physical vulnerability criteria include land elevation, slope, beach type, land use, coastline distance, and rivers. The tsunami hazard level is determined based on the tsunami run-up map from previous studies. Based on the results of the risk mapping, it was found that there were five risk categories in Puger sub-district, namely the very low level (13.90 Ha), low level (271.99 Ha), medium level (7133.25 Ha), high level (644.22 Ha), and very high level (23.29 Ha).

scholarly journals LANDSLIDE SUSCEPTIBILITY MODELLING IN SELECTED STATES ACROSS SE. NIGERIA

2020 ◽  
Vol 4 (1) ◽  
pp. 23-27
Author(s):  
R. O. E. Ulakpa ◽  
V.U.D. Okwu ◽  
K. E. Chukwu ◽  
M. O. Eyankware
Keyword(s):  
Landslide Susceptibility ◽  
Landsat Imagery ◽  
Control Measures ◽  
Landslide Risk ◽  
Susceptibility Map ◽  
Landsat 8 ◽  
Aerial Photos ◽  
Anambra State ◽  
Digital Elevation ◽  
Elevation Model

Identification and mapping of landslide is essential for landslide risk and hazard assessment. This paper gives information on the uses of landsat imagery for mapping landslide areas ranging in size from safe area to highly prone areas. Landslide mitigation largely depends on the understanding of the nature of the factors namely: slope, soil type, lineament, lineament density, elevation, rainfall and vegetation. These factors have direct bearing on the occurrence of landslide. Identification of these factors is of paramount importance in setting out appropriate and strategic landslides control measures. Images for this study was downloaded by using remote sensing with landsat 8 ETM and aerial photos using ArcGIS 10.7 and Surfer 8 software, while Digital Elevation Model (DEM) and Google EarthPro TM were used to produce slope, drainage, lineament and elevation. From the processed landsat 8 imagery, landslide susceptibility map was produced, and landslide was category into various class; low, medium and high. From the study, it was observed that Enugu and Anambra state ranges from high to medium in terms of landslide susceptibility, Imo state ranges from medium to low.

scholarly journals USULAN PERBAIKAN PADA PENERAPAN SISTEM MANAJEMEN KESELAMATAN DAN KESEHATAN KERJA DI PT. SURYA TOTO INDONESIA TBK DIVISI SANITARY DENGAN METODE HIRA DAN FTA

2021 ◽  
Vol 6 (1) ◽  
pp. 27
Author(s):  
Nur Fadilah Fatma ◽  
Dhimas Eka Mustafa Putra
Keyword(s):  
High Risk ◽  
Occupational Safety ◽  
Risk Assessments ◽  
Risk Level ◽  
Potential Hazard ◽  
Occupational Illness ◽  
Root Cause ◽  
Unsafe Behavior ◽  
Medium Level ◽  
High Level

Identification of potential hazards and risk assessments are part of the occupational safety and health program in the risk management stage, which is conducted in an effort to prevent work accidents and occupational illness. The purpose of this research is to identify the potential hazard in PT Surya Toto Indonesia Tbk Sanitary division and analyze the root cause and give suggestion of improvement. Location and time of observation is PT Surya Toto Indonesia Tbk in April until May 2017. Object of observation is potential danger in section Slip Preparing PT Surya Toto Indonesi Tbk. The methods used by the researchers are HIRARC and FTA. The identification of potential hazards and risk assessments undertaken by researchers together with experts, which in this case are OSH officers and local supervisors, resulted in 25 different risks. With the following division, 2 low risk level, 10 medium level risk, 11 high risk level and 2 extreme level risk. After handling by the management of the company against the risk of extreme and high level, there is risk to be 2 high risk and 11 medium level risks. To reduce the value of risk, companies can make safer working conditions and better supervision of employee's unsafe behavior. Keywords: Hazard Potential Identification, Risk Assessment, SMK3, HIRARC, FTA

scholarly journals APPLICATION OF AHP METHOD FOR MAPPING SLOPE GEOMORPHIC PHENOMENA

2017 ◽  
Author(s):  
Florin Constantin MIHAI
Keyword(s):  
Risk Mitigation ◽  
Characteristic Curve ◽  
Confusion Matrix ◽  
Predictive Performance ◽  
Landslide Risk ◽  
Good Correspondence ◽  
Topographic Features ◽  
Digital Elevation ◽  
Elevation Model ◽  
Hierarchy Process

Landslides are common and frequent geomorphic phenomena for the plateau regions in Romania having important consequences, especially economic ones, that needs designing scientific and technical plans for landslide risk mitigation. For this, an important preliminary step is assessing and mapping the landslide susceptibility. This paper examines a plateau zone in eastern Romania providing such a map, based on the landslides inventory, the digital elevation model (DEM) and the thematic layers of several factors thought to be potential predictors of landslides occurrence: topographic features, land use, and lithology. The methodological framework is based on the analytical hierarchy process (AHP) principles and factors weights attributed based on frequency of landslides. The predictive performance of the model was assessed using the confusion matrix, the ROC (receiver operating characteristic) curve and the AUC (area under curve) parameter. The results indicate a good correspondence between the susceptibility estimated for the test samples and for the validation samples

scholarly journals Settlement Arrangement based on Landslide Risk Analysis in Girirejo, Bantul, Yogyakarta

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Sri Aminatun ◽  
Yunalia Muntafi
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Group Discussion ◽  
Disaster Risk ◽  
Risk Level ◽  
Landslide Risk ◽  
Weighting Method ◽  
Risk Identify ◽  
Risk Areas ◽  
High Level

<em>Located on a hilly topography with a steep slope, highlighted the importance of settlement arrangement based on a landslide risk assessment in Girirejo village, Imogiri, Bantul, Yogyakarta. This study aims to map landslides risk, identify houses in the landslide risk zone, and provide recommendations for settlement arrangements. The research begins with observation, interviews, and focus group discussion. Disaster risk mapping and analysis were carried out through weighting method based on Perka BNPB No.2 of 2012 concerning General Guidelines for Disaster Risk Assessment and a formula with parameters of hazard, vulnerability, and capacity. Results showed the medium to a high-level of landslide risk was dominated by northern and eastern parts of Girirejo (21 families in red-zone, 23 families in yellow-zone), while western and southern regions had a low landslide risk level. This research also provided a formulation of settlements concept for medium and high-risk areas by considering landslides risk analysis study.</em>

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