scholarly journals Assessment of the level of drainage services in Damai settlement area (Ampal River Watershed), Balikpapan, Indonesia

2021 ◽  
Vol 916 (1) ◽  
pp. 012001
Author(s):  
A Nursaiba ◽  
M Ulimaz

Abstract Flood is a major disaster in Balikpapan City. One of the locations experiencing high flooding is in the Damai settlement area (Ampal River Watershed), especially in Mayor Polisi Zainal Arifin Street. One of the causes of this flood-prone area is the suboptimal drainage conditions. This study aimed to assess the drainage services in the Damai settlement area (Ampal River Watershed), of Mayor Polisi Zainal Arifin Street to observe the drainage services and overcome flood problems. Achieving such goals was done by analyzing the service level of the drainage channel by using the scoring and weighting method. The scoring and weighting method produced classifications of drainage services in the Damai settlement area (Ampal River Watershed) on Mayor Polisi Zainal Arifin Street, namely, medium and bad drainage services. There is segment 2 channel 2A, segment 3 channel 3A, segment 4 channel 4A, and segment 5 on channel 5A and 5B classified as having bad service level and there are 13 channels classified as having moderate service levels.

2021 ◽  
Vol 4 (1) ◽  
pp. 64-76
Author(s):  
Praja Bhakta Shrestha ◽  
Gangadhar Chaudhary

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.


2021 ◽  
Author(s):  
Chinh Luu ◽  
Quynh Duy Bui ◽  
Romulus Costache ◽  
Luan Thanh Nguyen ◽  
Thu Thuy Nguyen ◽  
...  

2021 ◽  
Vol 226 ◽  
pp. 00030
Author(s):  
Muhamad Nurdin Yusuf ◽  
Agus Yuniawan Isyanto ◽  
Sudradjat Sudradjat

The research was carried out with the aim to find out the behavior of farmers towards risk and the factors that influence it. The research sample was 100 paddy farmers in flood-prone area paddy fields in Pangandaran District, West Java Province, Indonesia. Farmer’s behavior towards risk was analyzed using quadratic utility functions, while the factors that influence farmer’s behavior towards risk were analyzed using logistic regression. The results showed farmers 87 was risk neutral, while 13 farmer risk takers were farmers. Education, familys size and income significantly influence farmer’s behavior towards risk; while age, experience, land area, production risk, price risk, income risk and group did not significantly influence farmer’s behavior towards risk.


Author(s):  
Gabrielle Gauthier Melançon ◽  
Philippe Grangier ◽  
Eric Prescott-Gagnon ◽  
Emmanuel Sabourin ◽  
Louis-Martin Rousseau

Despite advanced supply chain planning and execution systems, manufacturers and distributors tend to observe service levels below their targets, owing to different sources of uncertainty and risks. These risks, such as drastic changes in demand, machine failures, or systems not properly configured, can lead to planning or execution issues in the supply chain. It is too expensive to have planners continually track all situations at a granular level to ensure that no deviations or configuration problems occur. We present a machine learning system that predicts service-level failures a few weeks in advance and alerts the planners. The system includes a user interface that explains the alerts and helps to identify failure fixes. We conducted this research in cooperation with Michelin. Through experiments carried out over the course of four phases, we confirmed that machine learning can help predict service-level failures. In our last experiment, planners were able to use these predictions to make adjustments on tires for which failures were predicted, resulting in an improvement in the service level of 10 percentage points. Additionally, the system enabled planners to identify recurrent issues in their supply chain, such as safety-stock computation problems, impacting the overall supply chain efficiency. The proposed system showcases the importance of reducing the silos in supply chain management.


2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Rahma Wayan Lestari ◽  
Indra Kanedi ◽  
Yode Arliando

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


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rosa G. González-Ramírez ◽  
J. Rene Villalobos ◽  
Cesar Meneses

PurposeThis paper explores the effect of port's service time, particularly the mean and variability, on shippers' total landed costs to determine the competitive position of the port and derive recommendations for the strategic design of port services.Design/methodology/approachThe competitive position of a port is estimated considering the service level offered to the end-users of the port such as port service time, its variability and its effect on the total landed costs observed by the port users. The proposed methodology is meant to help ports to determine the required service time levels to maintain or gain a competitive advantage against other ports, in terms of attracting common hinterland's customers.FindingsResults show the advantages of considering service levels factors to determine the competitive position of a port, and what are the minimum characteristics required to capture more traffic volumes, that can help port managers to take strategic design decisions to better position the port in the current fierce market.Research limitations/implicationsThe proposed methodology is illustrated by considering a case study, which is the Port of Guaymas in Mexico. Data was not directly collected by the port, but based on interviews with shippers and public information, a representative case is presented. Due to a confidentiality agreement with the Port, specific references for most of the data used to estimate the model's parameters are not provided. The analysis is intended to show the potential value of this mechanism and can be used for evaluating the competitive position, from a high-level perspective, of any port to determine potential hinterland by improving the service level of the port.Originality/valueThe existing literature on port choice and port competition has not previously considered the effect of port service levels under the perspective of total landed costs of the users, being this paper a contribution to fulfill this gap.


2016 ◽  
Vol 28 (2) ◽  
pp. 91-101 ◽  
Author(s):  
TF Khan ◽  
MW Ullah ◽  
SM Imamul Huq

A study was carried out in 24 Upazillas of 12 districts of Bangladesh with a view to identifying risks, vulnerabilities and impacts of different types of natural disasters commonly occurring in Bangladesh with respect to agricultural production and sustainable agricultural development. Three districts were selected from each category of the disaster viz., drought, saline, river flood and flash flood prone. Two Upazillas were selected randomly from each district by considering the homogeneity (climate, agricultural practices, agricultural production, disaster risks, livelihood system, population, etc.) of the particular disaster affected areas. Of the four disasters, drought prone area covers the highest net cultivable area (NCA) measuring about 121 ha. Flash flood, salinity and river flood prone area covers approximately 115, 60 and 30 ha, respectively. The dominant cropping pattern in drought areas is Fallow-T.Aman-Wheat. In saline areas, it is Fallow-T. Aman- Pulse while in flood areas, it is Fallow-T.Aman- HYV Boro. Trend analysis shows that overall cropped area decreased by 1% in all disaster prone areas from 1984 - 2013. The highest decrease in cropped area was found for pulse in both drought (13%) and river flood (14%) areas. In saline and flash flood areas, it was for spice and potato, respectively. Among 72 farmers, 85% is vulnerable to drought, 90% to salinity, 69% to river flood and 95% to flash flood. Medium high land was found to be the most vulnerable for agricultural production in all disaster prone areas. Due to vulnerability to disasters, medium high land remains fallow in saline (83%), river flood (51%) and flash flood (31%) areas. In case of drought regions, medium low land (37%) remains fallow.Bangladesh J. Sci. Res. 28(2): 91-101, Dec-2015


2017 ◽  
Vol 46 (2) ◽  
pp. 150-158
Author(s):  
SMR Rahman ◽  
NR Sarker ◽  
MR Amin ◽  
M Kamruzzaman ◽  
MR Haque

An investigation was carried out with the objectives to identify the naturally occurring forage species, seasonal availability, production patterns under different climatic zones and production performance and methane emission from dairy cow under existing feeding systems. For this purpose, three different agro-climatic zones of Bangladesh, namely saline prone area (Satkhira), flood plain/river basin areas (Pabna), semi-arid/drought prone areas (Chapainobabgonj) were selected. To achieve the objectives, three Focus Group Discussions (FGD) were conducted in each location to obtain more information from different age groups of farmers. A total of 9 FDGs were conducted under three selected locations and twelve participants were attended in each FGD. During FDGs, information was collected through participatory discussions through check list and also discussion was recorded to verify the information gathered as per check list.  After collection of information in each side, all the data were checked and analyzed. The results indicated that in saline area, farmers reported that different types of local grass e.g. Tale Shapna,Durba,Nona Shapna, Khud Gate/ KhudKhachra, Shama, Full Paira, Bass Pata, Math Pora/KhataShak, GhimeeShak and Baksha etc were available round the year but according to their observation Nona Shapna, Tale Shapna and Baksha were more available compared to other species of the natural grasses and these three natural forages are more suitable in this area. In the drought prone area, different types of native grasses e.g. Durba,Shama, Mutha,Katla,Kausha/Kannar, Binna, Datuloka,Shanchi, Shunshue, Bash Batari, Ulo and Binna Pati were identified and utilized by the farmers in different seasons but Durba,Katla and Mutha were found more drought tolerant compared to other species. In flood prone area, Kolmi, Shanti, Baksha, Arail, Dubla, Bokma, Vadail and Bolenga etc were found and Kolmi, Baksha and Arail are more suitable in this area. Farmers were also reported that fodder tree like Dumur/khoksha also is survive in water logging situation and or flood prone area. The study revealed that calculated total DMI (Kg/h/day) was the highest (14.14±1.06) in flood prone  followed by drought (13.80±1.30) and saline areas (4.43±0.20),  respectively. Similarly, the milk production was also higher (12.06±1.19 litre/h/day) in flood prone area followed by drought (4.47±0.60 litre/h/day) and saline (1.83±0.11 litre/h/day) areas, respectively. The calculated total methane emission (g/h/d) was significantly higher in flood prone (478.31±36.36) and the lowest in saline (153.35±7.14) prone areas. Whereas, methane production per unit of milk yield, was the lowest in flood prone (46.55±6.78) and the highest (110.48±21.69) in drought prone area and the difference was statistically significant (p<0.05).  Therefore, it may be concluded that farmers’ rearing animals under climate vulnerable areas utilizing natural grasses are more prone to higher methane production compared to animals rearing better feed resources though their availability was varied with the seasons and locations.  Hence, further research is needed to explore more suitable natural grasses in addition to introduction of high yielding fodder with higher biomass and nutritive values based on the existing cropping systems in those climate vulnerable areas for higher milk production and low enteric methane emission in the country.Bang. J. Anim. Sci. 2017. 46 (2): 150-158


Sign in / Sign up

Export Citation Format

Share Document