scholarly journals Mapping of Dissaster-Prone Area for Residential Area Development: Evaluation in Barabai City, Hulu Sungai Tengah District, South Kalimantan

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Rosalina Kumalawati
Keyword(s):  
Sampling Technique ◽  
Research Area ◽  
Residential Development ◽  
Residential Area ◽  
Residential Areas ◽  
The People ◽  
Prone Area ◽  
Development Evaluation ◽  
Flood Prone Area ◽  
Flood Prone Areas

Flood disaster has some influences towards residential area. The effect of flood towards residential area needs to be investigated to determine the correct allocation of residential development space for the people who live in a flood-prone area. This research aims to develop a map of flood-prone areas for the sake of residential development evaluation in Baraba district, Hulu Sungai Tengah Regency, South Borneo.The purposive sampling technique was used to select the research area. The unit analysis is some districts and included in the flood-prone areas. To determine the sample based on flood-prone level, the stratified sampling was used.The result of the research shows that most of the investigated areas prone to flood. A secure location for resident should utilize the land in accordance with the criteria of safe and appropriate settlement layout. The low-prone and safe areas can be used for the space allocation of residential areas development in order to be safer from flooding.

The Development of the Southeast Lower Town of Sirkeli Höyük

2020 ◽  
Vol 47 (2) ◽  
pp. 215-286
Author(s):  
Alexander E. Sollee ◽  
Hannah Mönninghoff ◽  
Ekin Kozal ◽  
Doğa Karakaya ◽  
Joëlle Heim ◽  
...  
Keyword(s):  
Iron Age ◽  
Residential Area ◽  
Urban Center ◽  
Residential Areas ◽  
Stratigraphic Sequence ◽  
The People ◽  
Archaeological Work ◽  
Archaeobotanical Remains ◽  
Modern Turkey ◽  
Excavation Area

AbstractThe site of Sirkeli Höyük in the province of Adana in modern Turkey is one of the largest settlement mounds in Plain Cilicia. In 2012, a geophysical survey revealed that the ancient settlement was not confined to the höyük, but also encompassed an extensive lower town to the southeast of the main mound. To gain information on the dating and development of this part of the settlement, an excavation area (“Sector F”) was opened at a spot where the magnetometry survey suggested the presence of a city gate. Since then, archaeological work in this area has continuously produced new discoveries that help us understand how this residential area and its inhabitants developed throughout the periods of its occupation. Especially the Iron Age (Neo Cilician period) levels, which cover approximately the 11th–7th centuries B.C., provide important information on how this urban center of the Neo Hittite kingdom Hiyawa/Que changed over time and to which extent historical events impacted the people living in one of its residential areas. This contribution discusses the stratigraphic sequence, the pottery, and the archaeobotanical remains discovered in Sector F during the 2013–2019 campaigns, and concludes with a synthesis of the development in this area from a historical perspective.

SISTEM INFORMASI GEOGRAFIS (SIG) DAERAH RAWAN BANJIR DI KOTA BENGKULU MENGGUNAKAN ARCVIEW

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Rahma Wayan Lestari ◽  
Indra Kanedi ◽  
Yode Arliando
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
The Body ◽  
Microsoft Excel ◽  
Microsoft Word ◽  
Prone Area ◽  
Flood Prone Area ◽  
The City ◽  
Flood Prone Areas

The purpose of this research is to create a geographic information system Bengkulu city flood-prone areas using ArcView. Apply the knowledge obtained during the lecture, especially relating to the development of Geographic Information Systems. To be able to produce a system that is accurate and useful information for the community. Where the research was conducted in the city of Bengkulu BASARNAS. Bengkulu BASARNAS office specializing in Search and Rescue (SAR), is the body that manage the flood of data that is still done manually, using Microsoft Word and Microsoft Excel. Thus experiencing problems in delivering information directly to the office because the SAR agencies require a long time.Keywords: Geographic Information System, Flood Prone Area

Explore the Commercial and Residential Area of Contemporary Landscape Design Problems

2014 ◽  
Vol 641-642 ◽  
pp. 481-483
Author(s):  
Yong Zhang
Keyword(s):  
Correlation Analysis ◽  
Residential Development ◽  
Landscape Design ◽  
Residential Area ◽  
Residential Areas ◽  
Design Problems ◽  
Residential Landscape ◽  
Contemporary Chinese

With the development of economy, the rapid commercial and residential development of China's domestic. In the contemporary Chinese, many problems have designed many new residential areas. There are imitation, lack of style characteristics alone, poorly designed, designers and builders out of line and other issues. Through correlation analysis of Residential Landscape Design, presented various solutions.

scholarly journals Potential of Community Volunteers in Flood Early Warning Dissemination: A Case Study of Bangladesh

2021 ◽  
Vol 18 (24) ◽  
pp. 13010
Author(s):  
Murtuza Al-Mueed ◽  
Md Rafique Ahasan Chawdhery ◽  
Emmanuel Harera ◽  
Riyadh A. Alhazmi ◽  
Abdulmajeed M. Mobrad ◽  
...  
Keyword(s):  
Early Warning ◽  
National Policy ◽  
Economic Stability ◽  
Community Based ◽  
The People ◽  
Prone Area ◽  
Community Volunteers ◽  
Vital Component ◽  
Flood Prone Area

Flood early warning (FEW) is a vital component of disaster risk management and is particularly important for saving lives, developing a sustainable agro-based economy, economic stability, and the overall development of the people of Bangladesh as well as others. This study was conducted in a northern, flood-prone area of Bangladesh to investigate the potential of incorporating volunteers of the community to the Union Councils (UCs) to disseminate FEW alongside the top-down approach. Several studies have found that despite having a sophisticated flood forecasting technology, local communities are not reaping the benefits of it, as the existing dissemination system is inaccessible to most local people. Since risk communication takes place in a social context, this study investigated and thereby proposed that volunteerism, as a form of social capital or communal virtue, can potentially assist the community-based disaster management (CBDM) institutions in enhancing their capacity to reach the maximum population at times of flood risk. Therefore, it was confirmed that the trained volunteers need to be integrated into and endorsed by the national policy. In addition, this study also provides a number of recommendations connecting literature with policy documents of Bangladesh.

scholarly journals Pemetaan Tingkat Kerawananan Banjir Di Kota Jambi Menggunakan Metode Scoring Dan Overlay Berbasis Sistem Informasi Geografis

2021 ◽  
Vol 5 (2) ◽  
pp. 132-141
Author(s):  
Lusiani Pryastuti ◽  
Keyword(s):  
Land Use ◽  
Information System ◽  
Spatial Distribution ◽  
Geographic Information System ◽  
Soil Type ◽  
Flood Vulnerability ◽  
Overlay Method ◽  
Prone Area ◽  
Flood Prone Area ◽  
Flood Prone Areas

This research is about flood vulnerability mapping in Jambi City based on Geographic Information System (GIS). This study is aiming to find out the flood vulnerability level, spatial distribution of flood, and flood prone areas in Jambi City. We used five parameters that affect flood vulnerability, including land slope, land level, land use, soil type, and rainfall during 2019. The method used is the scoring and overlay method with the help of ArcGis software. Flood vulnerability level was divided into three categories, namely quite vulnerable, vulnerable, and very vulnerable. The results obtained in this study are that most of Jambi City has a level of flood vulnerability in the vulnerable category, which is an area of 9254.82 ha (58%), while for the area that is dominated quite safe from flooding, Jambi Selatan sub-district, is 2849.14 ha (18%). This shows that more than half of the Jambi city area is a flood-prone area so it is very important to carry out structural and non-structural mitigation actions

scholarly journals Machine-Learning blends of geomorphic descriptors: value and limitations for flood hazard assessment across large floodplains

2021 ◽  
Author(s):  
Andrea Magnini ◽  
Michele Lombardi ◽  
Simone Persiano ◽  
Antonio Tirri ◽  
Francesco Lo Conti ◽  
...  
Keyword(s):  
Machine Learning ◽  
Decision Tree ◽  
Recent Literature ◽  
Flood Hazard ◽  
Open Problems ◽  
Prone Area ◽  
Tree Models ◽  
Multivariate Approaches ◽  
Flood Prone Area ◽  
Flood Prone Areas

Abstract. Recent literature shows several examples of simplified approaches that perform flood hazard (FH) assessment and mapping across large geographical areas on the basis of fast-computing geomorphic descriptors. These approaches may consider a single index (univariate) or use a set of indices simultaneously (multivariate). What is the potential and accuracy of multivariate approaches relative to univariate ones? Can we effectively use these methods for extrapolation purposes, i.e. FH assessment outside the region used for setting up the model? Our study addresses these open problems by considering two separate issues: (1) mapping flood-prone areas, and (2) predicting the expected water depth for a given inundation scenario. We blend seven geomorphic descriptors through Decision Tree models trained on target FH maps, referring to a large study area (≈105 km2). We discuss the potential of multivariate approaches relative to the performance of a selected univariate model and on the basis of multiple extrapolation experiments, where models are tested outside their training region. Our results show that multivariate approaches may (a) significantly enhance flood-prone area delineation (overall accuracy: 93 %) relative to univariate ones (overall accuracy: 84 %), (b) provide accurate predictions of expected inundation depths (determination coefficient ≈0.7), and (c) produce encouraging results in extrapolation.

scholarly journals Examination of Household Evacuation Influencing Factors In Flood Disaster: A Case Study of Saptari Flood in Nepal

2021 ◽  
Vol 4 (1) ◽  
pp. 64-76
Author(s):  
Praja Bhakta Shrestha ◽  
Gangadhar Chaudhary
Keyword(s):  
Decision Making ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Future Research ◽  
Policy Makers ◽  
The People ◽  
Major Disaster ◽  
Prone Area ◽  
Flood Prone Area ◽  
Past Experiences

Disaster, a serious disruption in functioning of society whether by natural or manmade cause can happen anywhere. Devastating seismic, hurricane, flood, drought and fire are major disaster. Mitigating disaster risk, prompt rescue and timely evacuation decision during such disaster can prevent loss of lives and properties. The evacuation decision is the choice of people to stay away from the area of risk. The study analyzes the people’s perception of evacuation decisions in a flood disaster in the Saptari district of Nepal affected by Koshi River and other tributaries of it as a Disaster Risk Management. According to United Nations (2016), Management refers to “the organization, planning and applications of measure preparing for, responding to and recovering form disasters”. From the flood-affected site, 246 people were randomly selected for this study and examined the factors influencing evacuation decision-making. The study analyzes the past experiences of the people and their perception. The study has explored that Gender, Destination of evacuation, warning condition, reasons for not evacuating, education, age, proximity to the River from residence, land ownership, the capacity of the people are the factors examined and found no any association with the people’s decision on evacuation during the flood disaster in affected areas in Saptari district. These findings help the student, Disaster Risk Reduction field, Government policy makers and different actors to minimize the loss of lives and properties. The study also recommends for future research on victim’s evacuation decision-making capability in different flood-prone area of Nepal.

scholarly journals Analisis Kesesuaian Lahan Permukiman Menggunakan Sistem Informasi Geografis Di Kota Binjai

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Geniusmaniat Laia ◽  
Zulkifli Nasution ◽  
Achmad Siddik Toha
Keyword(s):  
Information Technology ◽  
Land Use ◽  
Residential Development ◽  
Residential Area ◽  
Capacity Analysis ◽  
Physical Factors ◽  
Residential Areas ◽  
Effectiveness Analysis ◽  
Development Direction ◽  
Very High

<p>A determination location for residential areas was influenced by physical factors, accessibility, socioeconomics, existing land use conditions, etc. Binjai is a municipality that has the <em>highest population</em><em> </em>growth and resulting in the development of settlement highest growth. It is necessary to analyze land suitability for settlement development that provides appropriate residential location direction to realize productive and effective land use by utilizing Geographic Information Technology (GIS). This study aims to analyze residential development direction in Binjai as well as determine potential location into a residential area by considering carrying land capacity, land use effectiveness, and productivity. The suitability land capacity analysis for settlements development results: Very High (ST) 2,616.12 Ha, High (T) 4,295.65 Ha, Medium (S) 2,332.15 Ha, Low (R) 465.67 Ha, and Very Low (SR) 65.16 Ha. Suitability effectiveness analysis for settlements development results: Very High (ST) 4,560.08 Ha, High (T) 2,636.54 Ha, Medium (S) 1,533.04 Ha, Low (R) 417.36 Ha, and Very Low (SR) 167.65 Ha. Conformity analysis productivity utilization for settlements development results; Very High (ST) 4,216.52 Ha, High (T) 2,036.35 Ha, Medium (S) 1,249.72 Ha, Low (R) 1,122.23 Ha, and Very Low (SR) 451.52 Ha.</p>

scholarly journals Household Preparedness to Reducing Landslide Disaster Risk in Sepakung Village

2021 ◽  
Vol 8 (8) ◽  
pp. 618-627
Author(s):  
Yohanes Dwi Anugrahanto ◽  
Dewi Liesnoor Setyowati ◽  
Erni Suharini
Keyword(s):  
Sampling Technique ◽  
Early Warning Systems ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Central Java ◽  
The People ◽  
Analysis Technique ◽  
Prone Area ◽  
Household Preparedness ◽  
Evacuation Routes

Landslides are one of the natural disasters that often occur in Indonesia. Throughout 2019, Indonesia experienced 1483 landslides. Indonesian people need to have preparedness in dealing with disasters. Sepakung village is included in a landslide-prone area in Semarang regency, Central Java. This study aims to analyze the preparedness of the people of Sepakung village who live around landslide-prone points. The research method used is quantitative with a descriptive percentage analysis technique. The population of this research is the residents of Sepakung village. The sampling technique used is purposive sampling. Data collection techniques using observation, questionnaires, and documentation. The data processing results show that the experience of dealing with landslides for the residents of Sepakung village is quite good. This is shown from the average descriptive percentage score reaching 65.909091. The attitude of the respondent's vigilance is included in the very good category, with a descriptive score of the percentage getting 85%. All respondents in this study agreed that awareness of landslides needs to be increased during the rainy season. Knowledge of landslides that are owned needs to be increased again, especially for knowledge about the signs of landslides, disaster mitigation, early warning systems, and evacuation routes. Keywords: disaster, disaster risk reduction, preparedness, landslide.

scholarly journals Comparison of Lung Capacity in Communities in Low Land and High Land

2021 ◽  
Vol 21 (1) ◽  
pp. 95
Author(s):  
Norma Juniati ◽  
Syamsul Bahri ◽  
Yenni Desimarlina ◽  
Annisa Zikri Robbia ◽  
Ainun Jariah ◽  
...  
Keyword(s):  
Vital Capacity ◽  
Sampling Technique ◽  
Research Area ◽  
The Body ◽  
Major Influence ◽  
Average Value ◽  
Lung Capacity ◽  
The People ◽  
The Difference ◽  
Physical Capacities

The environment in which they live has a major influence on the development of a person's physical characteristics and abilities. One of the physical capacities that is strongly influenced by the anthropometric measurements of the body and the body's adaptability to the environment is the vital capacity of the lungs. The vital capacity is the maximum volume of air that can enter and leave the lungs during one breathing cycle after maximum inspiration and maximum expiration. This study aims to determine the difference in the vital capacity of the lungs in the people in the lowlands of Mataram city and the highlands of Sembalun village. Sampling was done using purposive sampling technique with a sample of 20 people in each research area with an age range of 21-25 years. The data were collected using a simple spirometer made by the researcher. The control variables in this study included gender, age, height, body weight and sample hemoglobin levels. The results showed the average value of vital lung capacity in the lowlands was 2837.5 ml, while the vital capacity of the lungs in the highlands was 2767.5 ml. The results of hypothesis testing were carried out using the Independent Sample t-test using SPSS 16 and the results of the significance value (2-tailed) 0.740> 0.05 so that Ho was accepted, which means that there is no difference in the vital capacity of the lungs in the highlands and lowlands.

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