scholarly journals Penilaian Risiko Bencana Longsor di Wilayah Kabupaten Serang

2020 ◽  
Vol 34 (1) ◽  
pp. 1
Author(s):  
Heru Sri Naryanto ◽  
Qoriatu Zahro
Keyword(s):  
High Risk ◽  
Age Groups ◽  
Landslide Hazard ◽  
Landslide Risk ◽  
Hazard Maps ◽  
Geological Conditions ◽  
Medium Risk ◽  
Risk Areas ◽  
Vulnerability Maps ◽  
Risk Maps

Kabupaten Serang membutuhkan peta bahaya, peta kerentanan dan peta risiko bencana tanah longsor sebagai dasar dalam pengurangan risiko. Parameter dan bobot untuk pembuatan peta bahaya longsor adalah: kelerengan (50%), kondisi geologi (20%), curah hujan (15%) dan penggunaan lahan (15%). Zona bahaya tanah longsor tinggi di Kabupaten Serang terdapat di kecamatan-kecamatan Padarincang, Ciomas, Mancak, Anyar, Cinangka, Pulo Ampel dan Bojonegara. Pembuatan peta kerentanan digunakan kerentanan sosial dengan indikatornya adalah: kepadatan penduduk, rasio jenis kelamin, rasio kemiskinan, rasio orang cacat dan rasio kelompok umur. Peta risiko tanah longsor dibuat dengan mengoverlaykan dari peta bahaya tanah longsor dan peta kerentanan. Pembuatan peta bahaya, peta kerentanan dan peta risiko mengunakan teknik overlay atau tumpang tindih dengan software ArcGIS. Daerah berisiko rendah di Kabupaten Serang seluas 92.416 ha (63,6% dari seluruh luas Kabupaten Serang), berisiko sedang seluas 46.971 ha. (32,3%) dan yang berisiko tinggi 5.907 ha. (4,1%). Bila dilihat dari tingkatan kecamatan, 5 urutan teratas kecamatan yang memiliki luasan daerah berisiko tinggi terbesar adalah Kecamatan Anyar (1.498 ha), Pulo Ampel (1,082 ha), Bojonegara (1.019 ha), Baros (828,5 ha) dan Padarincang (561 ha). Peta bahaya, peta kerentanan dan peta risiko sangat dibutuhkan oleh Pemerintah Kabupaten Serang, selain sebagai acuan kegiatan pengurangan risiko bencana juga untuk penataan kawasan yang aman berkelanjutan. Serang District requires hazard maps, vulnerability maps and risk maps as a basis for reducing the risk of landslides. Parameters and weights for making landslide hazard maps are: slope (50%), geological conditions (20%), rainfall (15%) and land use (15%). High landslide hazard zones in Serang District are found in the sub-districts of Padarincang, Ciomas, Mancak, Anyar, Cinangka, Pulo Ampel and Bojonegara. Making a vulnerability map used social vulnerability with indicators: population density, sex ratio, poverty ratio, ratio of disabled people and ratio of age groups. Landslide risk maps are made by overlaying landslide hazard maps and vulnerability maps. Making hazard maps, vulnerability maps and risk maps using overlay techniques with ArcGIS software. Low-risk areas in Serang District covering 92,416 ha (63.6% of the total area of Serang Regency), medium risk of 46,971 ha. (32.3%) and high risk 5,907 ha. (4.1%). When viewed from the sub-district level, the top 5 sub-districts that have the largest high-risk areas are Anyar District (1,498 ha), Pulo Ampel (1,082 ha), Bojonegara (1,019 ha), Baros (828.5 ha) and Padarincang (561 ha ) Hazard maps, vulnerability maps and risk maps are urgently needed by the Serang District Government, in addition to being a reference for disaster risk reduction activities as well as for the sustainable arrangement of areas. 

scholarly journals Landslide Hazards and Risks in Tanon, Sragen, Central Java Province

2004 ◽  
Vol 18 (1) ◽  
Author(s):  
Suwarno Suwarno
Keyword(s):  
High Risk ◽  
Research Area ◽  
Landslide Hazard ◽  
Low Risk ◽  
Landslide Risk ◽  
Hazard Class ◽  
Central Java ◽  
Medium Risk ◽  
High Hazard ◽  
Terrain Units

The aims of this research are 1) to study and classify the landslide hazard of the study area, and 2) to evaluate the landslide risk of the research area. Field survey and laboratory analysis were used in this research. Terrain characteristic and social economic data were collected by purposive sampling. The structure of terrain unit based on landform unit map, slope map, soil map, and landuse map. Terrain parameters were divided into five classes; that were no hazard, low hazard, medium hazard, high hazard, and highest hazard classes. The risk classes were divided into four classes, that were no risk, low risk, midium risk, and high risk. Based on the landform units, soil type and the land used, the study area can be divided into 27 terrain units. The terrain units are differentiated into the landslide hazard classes and their landslide risk. In the study area there were found 5 classes of landslide hazard, namely 1) no hazard (2 terrain units); 2) low hazard (4 terrain units); 3) medium hazard (8 terrain units); 4) high hazard (11 terrain units); and 5) highest hazard (2 terrain units). Most of the high hazard class are located on hilly terrain units. Distribution of landslide risk in the study area are as follow: 4 terrain units have no risk; 17 terrain units have low risk; 4 terrain units in medium risk; and 2 terrain units have high risk. High risk are mostly located on hilly area with closely populated area.

scholarly journals Landslide Hazard Knowledge, Risk Perception and Preparedness in Southeast Bangladesh

2020 ◽  
Vol 12 (16) ◽  
pp. 6305 ◽  
Author(s):  
Edris Alam
Keyword(s):  
Risk Perception ◽  
High Risk ◽  
Economic Status ◽  
Informal Settlements ◽  
Landslide Hazard ◽  
Low Risk ◽  
Community Members ◽  
Landslide Occurrence ◽  
Hilly Region ◽  
Risk Areas

Over the last thirty years, Bangladesh has been experiencing hill cutting problems and subsequent landslide occurrence in its southeastern hilly region. Since 2000, landslides have caused over 500 deaths, mostly in informal settlements in southeast Bangladesh. The most significant single event was the 2007 landslide causing 127 deaths in Chittagong’s informal settlements. The landslide events took over 110 people in Rangamati on 12 June 2017. In the scenario of rising deaths by landslides in the southeastern region, this research aimed to understand communities’ landslide hazard knowledge, reasons for living in at-risk areas, risk perception and preparedness. This research applied both quantitative (i.e., structural questionnaire) and qualitative (i.e., semi-structured and open-ended questionnaire and informal interviews) data collection techniques to assess hill-top and hill-side dwellers knowledge, risk perception and preparedness to landslides in southeast Bangladesh. The investigation conducted face-to-face interviews with 208 community members, 15 key informant interviews, three Focus Group Discussions (FGDs) and field observations and visits in southeast Bangladesh. The findings suggest that unplanned development activities, overpopulation, settlement along hill slopes and ineffective disaster risk reduction efforts are the anthropogenic contributories accompanying climate-change induced increased torrential rainfall are the main reasons for the increase of landslide occurrence. The results suggest that community members perceive a low-risk for landslides, despite the community’s location in high-risk areas. The community’s perception of low risk results in a lack of preparedness and an unwillingness to relocate a comparatively safer place. It was noted that landslide disaster preparation depends on the communities’ development maturity, house ownership, ethnicity, gender and economic status of the residents. It is suggested that the place of relocation for residents living in the high-risk areas should be selected with full consideration of psychosocial aspects of the community, particularly providing acceptable livelihood options.

Field and producer survey of ACCase resistant wild oat in Manitoba

1997 ◽  
Vol 77 (4) ◽  
pp. 709-715 ◽  
Author(s):  
Luc Bourgeois ◽  
Ian N. Morrison ◽  
David Kelner
Keyword(s):  
High Risk ◽  
Herbicide Resistance ◽  
Wild Oat ◽  
Medium Risk ◽  
Risk Areas ◽  
Resistance Assessment ◽  
Herbicide Use ◽  
Risk Categories ◽  
Weed Survey ◽  
Group 1

In a previous study, 729 townships in Manitoba were differentiated as being at low, medium, or high risk of evolving wild oat resistant to Group 1 herbicides based on herbicide use histories from 1981 to 1993. In the present study, 16 townships representing the three risk categories were surveyed in 1994 in order to determine the percentage of resistant wild oat patches. As well, a questionnaire was mailed to farmers in these townships requesting information on practices and attitudes relating to herbicide resistance. The wild oat survey consisted of sampling seed from conspicuous wild oat patches visible from north-south roads in each township. A total of 533 samples were collected and screened with fenoxaprop-P and sethoxydim using a bioassay. An average of eight resistant wild oat patches was found in the high risk townships. This was significantly higher than in low and medium risk townships where an average of less than one resistant wild oat patch per township was detected. The attitude of producers towards herbicide resistance was similar in all risk categories. However, the number of respondents suspecting Group 1 resistance on their farms was related to risk categories with producers in high risk areas suspecting the most cases of resistance. Key words: Weed survey, resistance assessment, wild oat, ACCase inhibitors

Zoonotic cutaneous leishmaniasis in northeastern Iran: a GIS-based spatio-temporal multi-criteria decision-making approach

2016 ◽  
Vol 144 (10) ◽  
pp. 2217-2229 ◽  
Author(s):  
A. MOLLALO ◽  
E. KHODABANDEHLOO
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Cutaneous Leishmaniasis ◽  
Vegetation Index ◽  
Fuzzy Ahp ◽  
Public Health Problem ◽  
Study Region ◽  
Zoonotic Cutaneous Leishmaniasis ◽  
Risk Areas ◽  
Risk Maps

SUMMARYZoonotic cutaneous leishmaniasis (ZCL) constitutes a serious public health problem in many parts of the world including Iran. This study was carried out to assess the risk of the disease in an endemic province by developing spatial environmentally based models in yearly intervals. To fill the gap of underestimated true burden of ZCL and short study period, analytical hierarchy process (AHP) and fuzzy AHP decision-making methods were used to determine the ZCL risk zones in a Geographic Information System platform. Generated risk maps showed that high-risk areas were predominantly located at the northern and northeastern parts in each of the three study years. Comparison of the generated risk maps with geocoded ZCL cases at the village level demonstrated that in both methods more than 90%, 70% and 80% of the cases occurred in high and very high risk areas for the years 2010, 2011, and 2012, respectively. Moreover, comparison of the risk categories with spatially averaged normalized difference vegetation index (NDVI) images and a digital elevation model of the study region indicated persistent strong negative relationships between these environmental variables and ZCL risk degrees. These findings identified more susceptible areas of ZCL and will help the monitoring of this zoonosis to be more targeted.

Characteristics of Flood Fatalities in Japan’s Typhoon Hagibis in 2019: Secondary Analysis of Public Data and Media Reports

2021 ◽  
pp. 1-5
Author(s):  
Izumi Yoshida ◽  
Akihiko Ozaki ◽  
Tomohiro Morita ◽  
Masaharu Tsubokura ◽  
Masahiro Kami
Keyword(s):  
High Risk ◽  
Secondary Analysis ◽  
Health Issues ◽  
Hazard Maps ◽  
Local Municipalities ◽  
Public Data ◽  
Risk Areas ◽  
Media Reports ◽  
Japanese Residents ◽  
Do So

Abstract Objective: Typhoon Hagibis struck Japan on October 12, 2019. This study documents and characterizes deaths caused by Hagibis and helps identify strategies to reduce mortality in future disasters. Methods: Japanese residents, who were killed by Typhoon Hagibis, as reported by Japan’s Fire and Disaster Management Agency, were considered for the study. Details were collected from mainstream Japanese media, and flooding data from hazard maps published by local municipalities. Results: Out of the 99 total fatalities, 65 (73.0%) were aged 65 years or above. Among those who drowned indoors (20), 18 (90.0%) lived in high-risk areas of flooding, and their bodies were found on the first floor of their residences. A total of 10 (55.6%) out of the 18 fatalities lived in homes with 2 or more floors, indicating that they could have moved upstairs to avoid the floodwater. However, 6 (33.3%) could not do so due to existing health issues. Conclusions: Relatively elderly people, particularly those in areas at high risk of flooding, were most affected. Seeking higher ground is a standard safety measure in times of flooding, but this may not be possible for everyone depending on their health status, structure of their residence, and the depth of floodwaters.

scholarly journals Use of Sat Scan for Identification of Cholera Hotpots in a High-Density Suburb of Harare, Zimbabwe.

2020 ◽  
Author(s):  
Layman Chigumadzi ◽  
Panashe Chiurunge ◽  
Pisirai Ndarukwa
Keyword(s):  
High Risk ◽  
Real Time ◽  
Disease Surveillance ◽  
Age Groups ◽  
Significant Risk ◽  
Health Department ◽  
High Density ◽  
Low Flow ◽  
Real Time Analysis ◽  
Risk Areas

Abstract Background: The cholera pandemic remains a major public health risk in developing nations most of which are in the Sub Saharan regions. However, there is limited data on near real time analysis using the Sat Scan whichIn this study, of particular concern is the spatial-temporary distribution of cholera cases obtained from the mapping and detection of cholera hotspots or clusters in Budiriro on the outbreak, which occurred in September 2018. Methods: The research study used the spatial geographical distribution approach in order to study the clusters of high diseases incidence in Budiriro high-density suburb of Harare, Zimbabwe. The participants in this study included patients from all age groups and gender who were either suspects or confirmed cases of cholera according to the line lists provided by Harare City Health Department. Data was then analysed using the Python, Geographic Information Systems (GIS) and the Sat-Scan. Since this study, is an essential part of the health-needs assessment in the identification of high-risk areas for a disease, understanding the characteristics of high-risk areas was needed to indicate areas, which required improvements in the provision of WASH programmes in order to reduce the risk of cholera outbreaks. Results: The results from this study showed significant clusters or hotspots of cholera in Budiriro for the period of the outbreak (29 September-02 October 2019). People within 0.22km and 0.55km showed a significant risk of being susceptible to cholera (p=0.001). Clusters 1-3 were considered to be hotspots (p<0.05) for cholera outbreak and correspondingly there were more cases of cholera. These hotspots were linked to contaminated water sources (HA034, HA039 and HA075). Water was contaminated from low flow rate of sewage. Conclusions: Cholera and other general infectious disease surveillance can benefit from this perspective approach by monitoring outbreaks in real-time as new data becomes available. The results emphasised on the importance of focusing surveillance on emerging and active clusters during epidemics. Further we concluded that safe water provision could reduce the risk of such outbreaks if Sat-scans could be applied in locating possible areas of contamination.

scholarly journals Solving the dilemma of transforming landslide hazard maps into effective policy and regulations

2012 ◽  
Vol 12 (1) ◽  
pp. 53-60 ◽  
Author(s):  
J. V. DeGraff
Keyword(s):  
Risk Reduction ◽  
Scientific Information ◽  
Landslide Hazard ◽  
Landslide Risk ◽  
Hazard Map ◽  
Hazard Maps ◽  
Populations At Risk ◽  
Landslide Event ◽  
Effective Policy ◽  
Landslide Hazard Map

Abstract. As geoscientists, we often perceive the production of a map or model to adequately define landslide hazard for an area as the answer or end point for reducing risk to people and property. In reality, the risk to people and property remains pretty much the same as it did before the map existed. Real landslide risk reduction takes place when the activities and populations at risk are changed so the consequences of a landslide event results in lower losses. Commonly, this takes place by translating the information embodied in the landslide hazard map into some change in policy and regulation applying to the affected area. This is where the dilemma arises. Scientific information generally has qualifications, gradations, and conditions associated with it. Regulations are necessarily written in language that tries to avoid any need for interpretation. Effectively incorporating geologic information into regulations and ordinances requires continued involvement with their development and implementation. Unless geoscientists are willing to participate in that process, sustainable risk reduction is unlikely to occur.

scholarly journals Clinical value of self-assessment risk of osteoporosis in Chinese

Open Medicine ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 190-195 ◽  
Author(s):  
Hong-Mei Zhang ◽  
Hui-Ling Liu ◽  
Xuan Wang ◽  
Wei Chen ◽  
Dan Chen ◽  
...  
Keyword(s):  
High Risk ◽  
Age Groups ◽  
Risk Groups ◽  
Cross Sectional Study ◽  
Height Loss ◽  
High Risk Population ◽  
Clinical Value ◽  
Self Assessment ◽  
Cross Sectional ◽  
Medium Risk

AbstractBackgroundEarly detection of high-risk population for osteoporosis is the key to preventing this disease. Methodology: In this cross-sectional study a continuous sample of 270 women and 89 men (age: 20–90 years) was divided into four groups by age (≤ 55 or > 55 years) and sex. Participants completed the IOF test. Low-, medium-, and high-risk grades were defined by an OSTA index of greater than -1, -1 to -4, and less than -4, respectively. Results: Most participants were categorized in the low-risk group (240 people, 66.9%), followed by the medium-risk (102 people, 28.4%) and high-risk groups (17 people, 4.7%). Compared to women, men in both age groups had significantly higher OSTA index and greater numbers of positive answers on the IOF test. 64.3% individuals were susceptible to osteoporosis risk (≥1 positive answers on the IOF test). Multiple regression analysis demonstrated that family history of fragility fracture (OR: 0.503, 95% CI: 0.26–0.97), height loss exceeding 3 cm (OR: 2.51, 95% CI: 1.55–4.05), and earlier menopause (OR: 0.434, 95% CI: 0.19–0.97) were associated with higher risk grades. Conclusions: Combined use of the OSTA and IOF test is a simple and effective method for assessing the risk of osteoporosis.

Landslide hazard zonation in high risk areas of Rethymno Prefecture, Crete Island, Greece

2009 ◽  
Vol 52 (3) ◽  
pp. 599-621 ◽  
Author(s):  
Maria Kouli ◽  
Constantinos Loupasakis ◽  
Pantelis Soupios ◽  
Filippos Vallianatos
Keyword(s):  
High Risk ◽  
Landslide Hazard ◽  
Hazard Zonation ◽  
Landslide Hazard Zonation ◽  
Crete Island ◽  
Risk Areas

scholarly journals Temporal variation and geospatial clustering of dengue in Delhi, India 2015–2018

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e043848
Author(s):  
Poornima Suryanath Singh ◽  
Himanshu K Chaturvedi
Keyword(s):  
High Risk ◽  
Geographical Distribution ◽  
Descriptive Analysis ◽  
Age Groups ◽  
Spatiotemporal Analysis ◽  
Study Data ◽  
Distance Weighting ◽  
Ns1 Antigen ◽  
Risk Areas ◽  
Health Administrators

ObjectivesThe study was focused on geographical mapping of dengue cases and also to identify the hotspots or high-risk areas of dengue in Delhi.DesignA retrospective spatial–temporal (ecological) study. Descriptive analysis was used to know the distribution of dengue cases by age, sex, seasons and districts of Delhi. The spatiotemporal analysis was performed using inverse distance weighting and Getis-Ord Gi* statistic to know the geographical distribution and identify the hotspot areas.SettingsAll the confirmed and diagnosed dengue cases (IgM +ve or NS1 Antigen +ve ELISA) recorded by the Municipal Corporation of Delhi for the last 4 years (2015–2018) were collected with their local address. The location of all the dengue cases was geocoded using their address to prepare the spatiotemporal dengue database.ParticipantsRecord of all the dengue cases (4179) reported for treatment in the hospitals during the past 4 years were extracted and included in the study. Data were not collected directly from dengue patients.ResultsSeasonal occurrence of dengue cases (4179) shows that the cases start emerging in July, peaked in September–October and declined in December. The proportions of dengue cases were recorded high among the males 57.3% compared with females 42.6%, and differences were also recorded in all the age groups with more cases in age groups <15 and 16-30 years. Mapping of the cases reflects the spatial heterogeneity in the geographical distribution. The geomapping of cases indicates the presence of a significantly high number of cases in West, Southwest, South and Southeast districts of Delhi. High-risk areas or hotspots were also identified in this region.ConclusionDengue occurrence shows significant association with age, sex and seasons. The spatial analysis identified the high-risk areas, which can aid health administrators to take necessary action for prevention and better disease management.

Sign in / Sign up

Export Citation Format

Share Document