scholarly journals ANALISIS KERAWANAN BANJIR MENGGUNAKAN PENDEKATAN GEOMORFOLOGI DI DKI JAKARTA

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Siti Dahlia ◽  
Tricahyono Nurharsono ◽  
Wira Fazri Rosyidin
Keyword(s):  
At Risk ◽  
Central Government ◽  
Flood Hazard ◽  
Research Area ◽  
Capital City ◽  
Capital Region ◽  
Low Area ◽  
Flood Susceptibility ◽  
Element At Risk ◽  
Result Analysis

ABSTRACT  Special Capital Region of Jakarta Province is Capital City of Indonesia, which has various strategic functions, such as central government and economic and business center. Geographically DKI Jakarta Province is lowland, it caused Jakarta has high of flood hazard. This condition potentially result of high risk. Based on it, the aims of research is: 1). Making map of flood susceptibility in Special Capital Region of Jakarta area, based on geomorphology approach, and 2). Data inventory element at risk of flood. The method of data analysis used qualitative, based on interpretation satellite imagery data using elements of interpretation. Indicators used to result map of flood susceptibility are elevation, slope, and landform, using scoring and overlay technique. The result of research is flood susceptibility of low area is 13.613,40 ha, medium is 23.238,67 ha, and higt is 27.216,72 ha. Based on it, the majority of research area have hight of flood susceptibility. Based on spatial pattern, it showed that areas with high flood susceptibility are mostly located in the northern part of research area, and areas with the lowest flood susceptibility are majority in the southern part of researh area. The result analysis of element at risk, it showed that element at risk  affected by flood for high, medium, or low level is settlement. Key Words: Flood Susceptibility of Map, Exposure, Geomorphology, and Special Capital Region of Jakarta ABSTRAK Provinsi DKI Jakarta merupakan Ibu Kota negara Indonesia yang memiliki beragam fungsi startegis, seperti pusat pemerintahan, dan pusat ekonomi dan bisnis. Akan tetapi, kondisi geografis Provinsi DKI Jakarta yang merupakan dataran rendah, mengakibatkan wilayah Jakarta memiliki ancaman tinggi terhadap bahaya banjir. Hal ini dapat berpotensi menghasilkan tingginya risiko kerugian terhadap bencana. Berdasarkan hal tersebut, tujuan dalam penelitian ini yaitu: 1) Membuat peta kerawanan banjir Provinsi DKI Jakarta berdasarkan pendekatan geomorfologi, dan 2). Melakukan inventarisasi elemen berisiko yang berpotensi terpapar banjir. Metode analisis data dalam penelitian ini menggunakan analisis kualitatif, karena berdasarkan teknik interpretasi data citra secara kualitatif yaitu menggunakan unsur-unsur interpretasi. Parameter- parameter yang digunakan untuk menghasilkan peta kerawanan banjir yaitu elevasi, kemiringan lereng, dan bentuklahan, dengan menggunakan skoring dan tumpang susun. Hasil penelitian menunjukkan bahwa tingkat kerawanan banjir rendah seluas 13.613,40 ha, sedang seluas 23.238,67 ha, dan tinggi seluas 27.216,72 ha. Mayoritas wilayah penelitian terletak pada tingkat kerawanan banjir tinggi. Berdasarkan pola spasial menunjukkan bahwa daerah dengan tingkat kerawanan banjir tinggi mayoritas terletak di bagian utara wilayah penelitian, dan daerah dengan tingkat kerawanan banjir rendah mayoritas dibagian selatan wilayah penelitian. Hasil analisis keterpaparan elemen berisiko wilayah penelitian menunjukkan bahwa elemen berisiko yang berpotensi tertinggi terkena banjir baik tingkat tinggi, sedang, atau rendah yaitu pemukiman. Kata Kunci: Pemetaan Kerawanan Banjir, Keterpaparan, Gemorfologi, dan DKI Jakarta

scholarly journals ANALYSIS OF FLOOD EXPOSURE USING DEM SRTM AND LANDSAT IMAGE IN JAKARTA

2018 ◽  
Vol 18 (1) ◽  
pp. 81 ◽  
Author(s):  
Siti Dahlia ◽  
Tricahyono Nurharsono ◽  
Wira Fazri Rosyidin
Keyword(s):  
At Risk ◽  
Satellite Imagery ◽  
Research Area ◽  
Low Area ◽  
Flood Susceptibility ◽  
Flood Exposure ◽  
Element At Risk ◽  
Overlay Technique ◽  
High Flood ◽  
Result Analysis

The aims of research is: 1). Making map of flood susceptibility in Special Capital Region of Jakarta area, based on geomorphology approach using DEM SRTM satellite imagery, and 2). Data inventory element at risk of flood. The method of data analysis used qualitative, based on interpretation satellite imagery data using elements of interpretation. Indicators used to result map of flood susceptibility are elevation, slope, and landform, using scoring and overlay technique. The result of research is flood susceptibility of low area is 13.613,40 ha, medium is 23.238,67 ha, and higt is 27.216,72 ha. Based on it, the majority of research area have hight of flood susceptibility. Based on spatial pattern, it showed that areas with high flood susceptibility are mostly located in the northern part of research area, and areas with the lowest flood susceptibility are majority in the southern part of researh area. The result analysis of element at risk, it showed that element at risk affected by flood for high, medium, or low level is settlement.

scholarly journals Definitions and Concepts for Quantitative Rockfall Hazard and Risk Analysis

Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 158
Author(s):  
Didier Hantz ◽  
Jordi Corominas ◽  
Giovanni B. Crosta ◽  
Michel Jaboyedoff
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Failure Probability ◽  
Rockfall Hazard ◽  
Process Failure ◽  
Failure Propagation ◽  
Element At Risk ◽  
Hazard And Risk ◽  
Hazard And Risk Assessment ◽  
Definition Of

There is an increasing need for quantitative rockfall hazard and risk assessment that requires a precise definition of the terms and concepts used for this particular type of landslide. This paper suggests using terms that appear to be the most logic and explicit as possible and describes methods to derive some of the main hazards and risk descriptors. The terms and concepts presented concern the rockfall process (failure, propagation, fragmentation, modelling) and the hazard and risk descriptors, distinguishing the cases of localized and diffuse hazards. For a localized hazard, the failure probability of the considered rock compartment in a given period of time has to be assessed, and the probability for a given element at risk to be impacted with a given energy must be derived combining the failure probability, the reach probability, and the exposure of the element. For a diffuse hazard that is characterized by a failure frequency, the number of rockfalls reaching the element at risk per unit of time and with a given energy (passage frequency) can be derived. This frequency is relevant for risk assessment when the element at risk can be damaged several times. If it is not replaced, the probability that it is impacted by at least one rockfall is more relevant.

scholarly journals The “Smart Work” Myth: How Bureaucratic Inertia and Workplace Culture Stymied Digital Transformation in the Relocation of South Korea’s Capital

2021 ◽  
Author(s):  
JY Hur ◽  
Wonhyuk Cho ◽  
G Lee ◽  
Sarah Bickerton
Keyword(s):  
Large Scale ◽  
Business Processes ◽  
New Technologies ◽  
Central Government ◽  
Digital Transformation ◽  
Capital City ◽  
Digital Government ◽  
Face To Face ◽  
Work Routines ◽  
Traditional Work

© 2019, © 2019 Asian Studies Association of Australia. Starting in 2012, the South Korean government has implemented a large-scale relocation of its central government agencies, which are now split between the existing capital city (Seoul) and a new administrative-capital city (Sejong). One of the most controversial aspects of the relocation has been the bureaucratic inefficiency caused by its split nature. ICT-enabled solutions, dubbed “Smart Work”, were adopted to deal with this challenge, but have not been effective in avoiding inefficiency. In this article, we argue that different forms of organisational inertia created resistance to switching from traditional work routines to Smart Work’s ICT-assisted equivalents. Various forms of inertia–psychological (anxiety around learning new technologies), cognitive (culture/norms in face-to-face work routines), technological (stickiness of pre-existing IT system), political (continued influence from elected officials), and resource allocation (success bias from previous digital government projects)–significantly influenced public managers’ work practices in Sejong. These types of inertia, we argue, have reinforced face-to-face communication rather than digital communication, on-site visits rather than video-conferencing, and fixed-time work rather than flex-work. Our findings challenge dominant views from functionalist models of digital transformation and emphasise the importance of cultural congruency between workplace norms and technophilic business processes.

scholarly journals Activity of the Regional Polish United Workers’ Party Apparatus in 1970–1989

2021 ◽  
Vol 8 (55) ◽  
pp. 79-94
Author(s):  
Dariusz Standerski
Keyword(s):  
Statistical Analysis ◽  
Correlation Coefficient ◽  
Communist Party ◽  
Economic Activity ◽  
Central Government ◽  
Capital City ◽  
State Archive ◽  
Macroeconomic Performance ◽  
Macroeconomic Variables ◽  
Archival Documents

Abstract The article aims to verify whether, in the 1980s, there was a significant decrease in the involvement of the regional communist party structures in charge of economic affairs in Poland. The analysis is made on the case of the Warsaw Committee (KW) of the Polish United Workers’ Party (PUWP). Archival documents gathered in the State Archive in Warsaw were used to perform the analysis. The protocols of the meetings of the Executive and Secretariat 1970–1989 were collected, described and analysed. Moreover, the analysis was supplemented by the Statistical Yearbooks of Warsaw (GUS, 1957–1974), the Statistical Yearbooks of the Capital City of Warsaw (GUS, 1976–1981) and the Journal of Laws of the People's Republic of Poland 1970–1989. A statistical analysis of economic activity of the KW of the PUWP in the context of macroeconomic variables and economic activity of central authorities was performed. The correlation coefficient between macroeconomic performance and Party activity indicates the convergence of both trends in the 1970s and the lack of correlation in the 1980s. The decline in engagement after 1978 was unprecedented. In this period, there was a discrepancy between the activities of the central government and the Party apparatus, which remained in place until the end of the system. Institutional mechanisms in the Principal–Agent relation weakened significantly in 1980s.

Comparison of statistical and analytical hierarchy process methods on flood susceptibility mapping: In a case study of the Lake Tana sub-basin in northwestern Ethiopia

2021 ◽  
Vol 13 (1) ◽  
pp. 1668-1688
Author(s):  
Azemeraw Wubalem ◽  
Gashaw Tesfaw ◽  
Zerihun Dawit ◽  
Belete Getahun ◽  
Tamrat Mekuria ◽  
...  
Keyword(s):  
Land Use Planning ◽  
Analytical Hierarchy Process ◽  
Flood Hazard ◽  
Google Earth ◽  
Information Value ◽  
Lake Tana ◽  
Ahp Model ◽  
Flood Susceptibility ◽  
Susceptibility Modeling ◽  
Hierarchy Process

Abstract The flood is one of the frequently occurring natural hazards within the sub-basin of Lake Tana. The flood hazard within the sub-basin of Lake Tana causes damage to cropland, properties, and a fatality every season. Therefore, flood susceptibility modeling in this area is significant for hazard reduction and management purposes. Thus, the analytical hierarchy process (AHP), bivariate (information value [IV] and frequency ratio [FR]), and multivariate (logistic regression [LR]) statistical methods were applied. Using an intensive field survey, historical document, and Google Earth Imagery, 1,404-flood locations were determined, classified into 70% training datasets and 30% testing flood datasets using a subset within the geographic information system (GIS) environment. The statistical relationship between the probability of flood occurrence and 11 flood-driving factors was performed using the GIS tool. The flood susceptibility maps of the study area were developed by summing all weighted aspects using a raster calculator. It is classified into very low, low, moderate, high, and very high susceptibility classes using the natural breaks method. The accuracy and performance of the models were evaluated using the area under the curve (AUC). As the result indicated, the FR model has better performance (AUC = 99.1%) compared to the AHP model (AUC = 86.9%), LR model (AUC = 81.4%), and IV model (AUC = 78.2%). This research finds out that the applied methods are quite worthy for flood susceptibility modeling within the study area. In flood susceptibility modeling, method selection is not a serious challenge; the care should tend to the input parameter quality. Based on the AUC values, the FR model is comparatively better, followed by the AHP model for regional land use planning, flood hazard mitigation, and prevention purposes.

scholarly journals Prospects of Multifunctionality in Nepalese Agriculture: The Agritourism Perspectives

2019 ◽  
Vol 2 (1) ◽  
pp. 108-118
Author(s):  
Kumar Bhatta
Keyword(s):  
Developing Countries ◽  
Rural Development ◽  
Rural Areas ◽  
Agricultural Sector ◽  
Central Government ◽  
Developed Countries ◽  
Educational Background ◽  
Capital City ◽  
Sustainable Rural Development ◽  
Household Heads

Multi functionality of agriculture in the developed countries is employed as a means of rural revitalization and economic circulation. Although farm diversification in the developing countries is much more crucial, in most of the rural areas of the developing countries, it is not performed, and it is delayed. In this regard, the main objective of this study is to explore the possibilities of the multi functionality of agriculture for the sustainable rural development for the implementation of the sustainable development goals (SDGs) in the developing countries. The empirical study was conducted in two of the rural districts of Nepal called Nuwakot and Rasuwa. The author intentionally chose these districts because it is one separate area north of the capital city Kathmandu and bordering to China. Further, even though the location is nearby the capital city, and the rural villages have excessive potentials for tourism activities, the farmers are still focusing on subsistence farming without getting benefits from tourism. Based on the macro data of Nepal government and field visit, the author conducted a case study. This study explored that most of the household heads are working in the agricultural sector, which can be one of the opportunities to launch multi functionality of agriculture. However, due to their weak educational background, they are expecting external supports in terms of knowledge, technology, and more importantly, supportive policy. The federal and central government should give subsidy to the farmers so that they canstart multi functionality in their farms, which lead to sustainable rural development.

scholarly journals Assessing the susceptibility of schools to flood events in Iran

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Saleh Yousefi ◽  
Hamid Reza Pourghasemi ◽  
Sayed Naeim Emami ◽  
Omid Rahmati ◽  
Shahla Tavangar ◽  
...  
Keyword(s):  
Flood Risk ◽  
Flood Hazard ◽  
Rural Students ◽  
Flood Hazards ◽  
Analytic Hierarchy ◽  
Flood Susceptibility ◽  
Susceptibility Maps ◽  
High Flood ◽  
Analytic Hierarchy Process Method ◽  
Very High

Abstract Catastrophic floods cause deaths, injuries, and property damages in communities around the world. The losses can be worse among those who are more vulnerable to exposure and this can be enhanced by communities’ vulnerabilities. People in undeveloped and developing countries, like Iran, are more vulnerable and may be more exposed to flood hazards. In this study we investigate the vulnerabilities of 1622 schools to flood hazard in Chaharmahal and Bakhtiari Province, Iran. We used four machine learning models to produce flood susceptibility maps. The analytic hierarchy process method was enhanced with distance from schools to create a school-focused flood-risk map. The results indicate that 492 rural schools and 147 urban schools are in very high-risk locations. Furthermore, 54% of rural students and 8% of urban students study schools in locations of very high flood risk. The situation should be examined very closely and mitigating actions are urgently needed.

Development of System Tracer of Lost Aircraft

2016 ◽  
Vol 5 (2) ◽  
pp. 68
Author(s):  
Siswayudi Azhari
Keyword(s):  
Local Governments ◽  
Central Government ◽  
Tracking System ◽  
Human Movement ◽  
Capital City ◽  
Air Transport ◽  
Aircraft Accidents ◽  
Plane Crash ◽  
Airport Terminal ◽  
The Government

<p>Today the world has entered the era of modern air transport where human movement needed to support facilities and infrastructure that support for the movement of activity. The number of routes and flights are always growing by leaps and bounds every year.</p><p>In Indonesia alone by more than 10 of the largest airliner in which two, namely Garuda Indonesia and Lion Airline, based on data in 2012 each have no less than 50 routes per day and more than 4,000 flights per week [1] (web magazine ZonaAero). To support the security and safety of air transport, the government through the aviation authorities are trying to build an adequate infrastructure. A number of local governments and central government together with Angkasa Pura and Airnav Indonesia (LPPNPI) has a lot to develop the airport terminal, lengthen and widen the runway, install instrument flight (radar, DVOR, ILS etc.), and make the regulations more guarantees The good level of a security and aviation safety.</p><p>However, for things that are not desirable that may occur as aircraft accidents, it is necessary to support the system also prepared to facilitate the search for the location of the accident. Still clear in our memory how when, on May 9, 2012 a plane Sukhoi Superjet 100 has crashed in the promotion and demonstration flights. It takes more than one day to find the crash site in the area around Mount Salak located less than 100 kilometers from the capital city of Jakarta [2] (Indonesia Wikipedia).</p><p>The distance of time ranging from a loss of communication with the aircraft until the discovery of the accident scene will be very good if it can be reduced to as small as possible. This will help Basarnas and NTSC accelerate the process of investigation and to provide certainty for the families of the victims as well as those of other interested parties.</p>Location tracking system of aircraft accident would be able to find the location of a plane crash just a few moments after the breakdown of communication between the aircraft control tower / flight controller.

scholarly journals Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms

2020 ◽  
Vol 12 (21) ◽  
pp. 3568
Author(s):  
Shahab S. Band ◽  
Saeid Janizadeh ◽  
Subodh Chandra Pal ◽  
Asish Saha ◽  
Rabin Chakrabortty ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Flash Flood ◽  
Flood Hazard ◽  
Machine Learning Algorithms ◽  
Mitigation Strategies ◽  
Boosted Regression Tree ◽  
Flash Flooding ◽  
Flood Susceptibility ◽  
Susceptibility Modeling

Flash flooding is considered one of the most dynamic natural disasters for which measures need to be taken to minimize economic damages, adverse effects, and consequences by mapping flood susceptibility. Identifying areas prone to flash flooding is a crucial step in flash flood hazard management. In the present study, the Kalvan watershed in Markazi Province, Iran, was chosen to evaluate the flash flood susceptibility modeling. Thus, to detect flash flood-prone zones in this study area, five machine learning (ML) algorithms were tested. These included boosted regression tree (BRT), random forest (RF), parallel random forest (PRF), regularized random forest (RRF), and extremely randomized trees (ERT). Fifteen climatic and geo-environmental variables were used as inputs of the flash flood susceptibility models. The results showed that ERT was the most optimal model with an area under curve (AUC) value of 0.82. The rest of the models’ AUC values, i.e., RRF, PRF, RF, and BRT, were 0.80, 0.79, 0.78, and 0.75, respectively. In the ERT model, the areal coverage for very high to moderate flash flood susceptible area was 582.56 km2 (28.33%), and the rest of the portion was associated with very low to low susceptibility zones. It is concluded that topographical and hydrological parameters, e.g., altitude, slope, rainfall, and the river’s distance, were the most effective parameters. The results of this study will play a vital role in the planning and implementation of flood mitigation strategies in the region.

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