scholarly journals The FLOOD DISASTER MANAGEMENT BASED ON EXTREME TROPICAL RAINFALL IN DECADES OF CLIMATE CHANGE IN INDONESIA

2021 ◽  
Vol 5 (2) ◽  
pp. 124-130
Author(s):  
Rahmat Gernowo ◽  
Muhamad Irham Nurwidyanto
Keyword(s):  
Distribution Pattern ◽  
Disaster Management ◽  
Rainfall Intensity ◽  
Wrf Model ◽  
Extreme Rainfall ◽  
Heavy Rain ◽  
Atmospheric Dynamics ◽  
Flood Disaster ◽  
South Sulawesi ◽  
The Tropics

Indonesia's climate classification is divided into three rainfall patterns. The three patterns are Seasonal Pattern, Equatorial Pattern, and Local Pattern (Anti Seasonal). Flood Disaster Management based on extreme rainfall is very much needed, as the analysis was taken as a case study on January 22, 2019, a flood disaster occurred in South Sulawesi. The flood event indicated that there was heavy rain that flushed the South Sulawesi region for several days, which is classified as monsoonal rainfall. This study aims to analyze the characteristics of heavy rain with atmospheric anomalies during these events by calculating rainfall intensity to determine future flooding patterns and using the WRF model to analyze cloud distribution patterns and rainfall distribution. The method used in this research is Mononobe and Weather Research and Forecasting (WRF) using the Fabric Fritsch cumulus parameterization scheme. The analysis showed that the intensity and duration of rainfall of 2, 5 10, 25, and 50 years were obtained from the Mononobe model, as well as from the atmospheric dynamics data, there was rain for 3 consecutive days caused by cumulonimbus type rain clouds. Based on the WRF model, it can be seen that the CAPE value before the onset of rain is quite significant, thus supporting the growth of rain clouds as an important variable in flood disaster management in the South Sulawesi region in particular and the tropical zone in. general. Motivation/Background: Indonesia is included in a tropical climate where extreme rainfall is important to analyze. The majority of flood disasters in the tropics occur in decades of extreme atmosphere, this is an important reason in this study. Method: The Mononobe method can be used to calculate the distribution pattern of rainfall intensity throughout 2, 5, 10, 25, and 50 years, as a prediction of future rainfall intensity patterns. The WRF model is used to calculate the cloud distribution pattern and the spatial distribution of rainfall. Results: The results of this study obtained patterns of rainfall intensity and duration of 2, 5, 10, 25, and 50 years from the Mononobe model, as well as from the atmospheric dynamics data, there was rain for 3 consecutive days caused by cumulonimbus rain clouds. The pattern of cloud distribution and rainfall at the time of the incident at the WRF model research location. Conclusions: Analysis of the distribution pattern of rainfall intensity for the periods of 2, 5, 10, 25, and 50 years, as well as the distribution pattern of clouds and rainfall, is very necessary for disaster identification, especially hydrometeorology. This is very important as a variable in flood disaster management, especially in the tropics

scholarly journals AKTIVASI PERAN BINA KELUARGA REMAJA DALAM PENGURANGAN RESIKO BENCANA BANJIR MENUJU KEMANDIRIAN BENCANA DIKAMPUNG KB PUCANGSAWIT,SURAKARTA

2020 ◽  
Vol 4 (2) ◽  
pp. 100
Author(s):  
Dewi Kartika Sari ◽  
Rina Sri Widayati2 ◽  
Yulaikha Istiqomah ◽  
Saftirta Gatra Dewantara ◽  
Sandy Anwar Mursito ◽  
...  
Keyword(s):  
Disaster Management ◽  
Heavy Rain ◽  
Active Role ◽  
First Aid ◽  
Flood Disaster ◽  
Disaster Mitigation ◽  
River Channels ◽  
Increased Risk ◽  
The Impact

Flood is a natural event caused by the overflowing of water out of the river channel because the volume of water exceeds the capacity of the available river channels. An area of overflow from a river is referred to as a flood-plain area. Kampung KB which is located in Pucang sawit Village, Jebres, Surakarta, is located along the side of the Bengawan Solo river, making this location prone to the impact of the overflowing of the Bengawan Solo river in this extreme weather. Therefore, disaster mitigation activities in the form of flood disaster management are needed for the people of that area. The prevalence of heavy rain in Indonesia is increasing, resulting in an increased risk of flooding. The result of this problem is the lack of public knowledge regarding how to deal with flood disasters that may arise. The solution is with disaster training in the form of activating the role of youth family development in the KB village. The target output expected from this health education is the increasing number of people who know the procedures for handling floods in disaster locations, as well as youth being able to play an active role in disaster activities. Information on the Activation of Action and the Role of Youth in Flood Disaster Management in Kampung KB Pucangsawit, Surakarta was held on the 21st October 2020, followed by five students, two accompanying lecturers and audiences. During the counseling, a demonstration of first aid was carried out in the case of floods and questions and answers to clarify the understanding of the residents. After counseling about first aid to flood victims, we also did scene designs or actions in the field and practiced what had been taught directly on the banks of the Bengawan Solo river.

Orographic Influences on an Oahu Flood

2011 ◽  
Vol 139 (7) ◽  
pp. 2198-2217 ◽  
Author(s):  
Michael J. Murphy ◽  
Steven Businger
Keyword(s):  
Flash Flood ◽  
Wrf Model ◽  
Extreme Rainfall ◽  
Heavy Rain ◽  
Weather Research And Forecasting ◽  
Mountain Range ◽  
Rain Event ◽  
Freezing Level ◽  
High Concentrations ◽  
Convective Cells

Abstract On 2 April 2006, Oahu’s Ko‘olau Mountain Range endured more than 6 h of heavy rain with accompanying flash flooding along its northeast-facing slopes. The storm responsible for the event left a pattern of precipitation characteristic of orographic anchoring of convection with extreme rainfall gradients along the slopes and maxima along the crest of the mountain range. In fact, this was the third flash-flood event to impact the Ko‘olau Mountains in just over 1 month, with each event occurring under conditions of moist southeasterly flow at low levels and moderate conditional instability. Under these conditions persistent convection and localized heavy rainfall often occur over the Ko‘olau Mountain Range. Mesoscale analyses of the thunderstorm complex responsible for the 2 April 2006 heavy rain event and the results of a high-resolution numerical simulation employing the Weather Research and Forecasting (WRF) model are described in this study. Key features of the convection that contributed to the longevity of the event include repeat formation of convective cells along the eastern side of the central Ko‘olaus, minimal horizontal cloud motion, and strong updrafts that sloped toward the northwest in the lower levels. The westerly shear of the low-level flow determined the pattern of accumulated precipitation by aligning the slope of the convective updrafts nearly parallel to the southeast-to-northwest-orientated Ko‘olau Mountain Range. The microphysical structure of the convection was complex, with the vertical advection of hydrometeors originating below the freezing level facilitating high concentrations of ice particles and an environment conducive to charge separation and lightning.

scholarly journals Flood vulnerability mapping using the spatial multi-criteria evaluation (SMCE) method in the Minraleng Watershed, Maros Regency, South Sulawesi

2020 ◽  
Vol 153 ◽  
pp. 01004
Author(s):  
Muhammad Fadhil ◽  
Yoanna Ristya ◽  
Nahra Oktaviani ◽  
Eko Kusratmoko
Keyword(s):  
Information System ◽  
Rainfall Intensity ◽  
Physical Factors ◽  
Relative Importance ◽  
Flood Vulnerability ◽  
South Sulawesi ◽  
Multi Criteria Evaluation ◽  
Gis Environment ◽  
Very High ◽  
Vulnerable Zones

This study focuses on the assessment of flood-vulnerable areas in the Minraleng watershed, Maros Regency, where the area experiences floods every year. Spatial analysis in the Geographic Information System (GIS) environment has been applied to estimate flood-vulnerable zones using six relevant physical factors, such as rainfall intensity, slope, Elevation, distance from the rivers, land use and soil type. The relative importance of physical factors has been compared in paired matrices to obtain weight values using the Spatial Multi-Criteria Evaluation (SMCE) method. The result showed that the areas located in Camba sub-district had the high vulnerability. The region with a high and very high vulnerability to flood were spread with an area of 436 ha (0,84 %) and 6.168 ha (11.8%).

Exploring critical success factors (CSFs) of humanitarian supply chain management (HSCM) in flood disaster management (FDM)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Isaac Sakyi Damoah
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Disaster Management ◽  
Success Factors ◽  
Flood Disaster ◽  
Chain Management ◽  
Content Type ◽  
Humanitarian Operations ◽  
Critical Success ◽  
Humanitarian Supply Chain

PurposeThis study explores the critical success factors (CSFs) in humanitarian supply chain management (HSCM) by focussing on flood disaster management (FDM) in Ghana.Design/methodology/approachAn in-depth semi-structured interview and questionnaire surveys in a sequential data collection approach were used to collect data from definitive stakeholders of humanitarian organisations. The data was analysed using exploratory factor analysis (EFA), confirmatory factors analysis (CFA) and structural equation modelling (SEM) techniques.FindingsSeventy-four factors were identified as success factors of HSCM of flood disaster management. However, 41 of these factors were statistically significant and considered as critical. In descending order, these factors relate to management practices, education and training, stakeholder involvement and cooperation, infrastructure, innovation and technology, materials and resources, administrative practices, socio-cultural and economic. Whilst some factors are internal to the humanitarian organisations, others are external factors that are beyond the control of humanitarian organisations.Research limitations/implicationsEven though this study offers empirical results that could guide policymakers in their decision-making about humanitarian operations, care needs to be taken since the data is within one country and within a specific disaster context – hence, policymakers need to consider the local contextual dynamics. Future studies could look at different disasters context to make a comparative analysis of various types of disaster operations.Practical implicationsInstitutions such as World Health Organization, Red Cross organisations and UN seeking to curbs global-warming-related disasters and the reduction of the effects of flood disaster can use findings as a guide during the formulation of HSCM policies and strategies.Originality/valueUnlike previous studies of humanitarian operations that focussed extensively on theoretical expositions, simulations, conceptual frameworks and models, this present study offers empirical evidence of humanitarian operations in the context of SCM. Further, by highlighting on the HSCM CSFs, this study contributes to disaster reduction and their effects on humanity in the context of FDM. This research could be used as guide by governments and FDM organisations to make informed decisions on SCM areas to focus the most during FDM.

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