TY - JOUR
T1 - A Study of Anticipating the Flood Hazard in Agricultural Areas in Ular Watershed by Using Geospatial Approach
AU - Arselan Rambe, Ahmad
AU - Ash Shidiq, Iqbal Putut
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd..
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/11/25
Y1 - 2019/11/25
N2 - Indonesia is a country which is extremely vulnerable to the natural disasters, one of which is Indonesia is a country vulnerable to various natural disasters such as flood. Flood in a coastal area can cause plant damages and increase of plant diseases. Flood is potential to disrupt the food security because the production of crops decreases due to the damages to agricultural and fishery areas. Therefore, it is necessary to make some efforts to develop the anticipationability to face flood in order to reduce the flood impacts. This research is a descriptive quantitative encompassing the analysis of potentials of flood hazard in the agricultural areas and the implementation of forms of anticipation in the agricultural areas which are vulnerable to flood hazard. The mapping of distribution areas that are vulnerable to flood hazard in Ular watershed by utilizing the technology of Geographic Information System through the overlay method for rainfall, geomorphologic, land use, and flood mappings. According to the research results, The area with high flood vulnerability class is 1,105.56 ha The anticipation efforts which the farmers have carried out are: (1) building some dams and embankments along the borderline of the Ular River, (2) selecting the types of plants and patterns of planting, and (3) preparing some budget to anticipate the damage due to flood. The effort that has been done to anticipate the flood, is pay Agricultural Insurance preimium of Rp. 50.000, - per hectare, where with the sum insured price of Rp.6.000.000, - per hectare, then the cost of compensation to be prepared by the government is Rp. 6,000,000 x 1,105.56 ha = Rp. 6.630.000.000,00 per planting season.
AB - Indonesia is a country which is extremely vulnerable to the natural disasters, one of which is Indonesia is a country vulnerable to various natural disasters such as flood. Flood in a coastal area can cause plant damages and increase of plant diseases. Flood is potential to disrupt the food security because the production of crops decreases due to the damages to agricultural and fishery areas. Therefore, it is necessary to make some efforts to develop the anticipationability to face flood in order to reduce the flood impacts. This research is a descriptive quantitative encompassing the analysis of potentials of flood hazard in the agricultural areas and the implementation of forms of anticipation in the agricultural areas which are vulnerable to flood hazard. The mapping of distribution areas that are vulnerable to flood hazard in Ular watershed by utilizing the technology of Geographic Information System through the overlay method for rainfall, geomorphologic, land use, and flood mappings. According to the research results, The area with high flood vulnerability class is 1,105.56 ha The anticipation efforts which the farmers have carried out are: (1) building some dams and embankments along the borderline of the Ular River, (2) selecting the types of plants and patterns of planting, and (3) preparing some budget to anticipate the damage due to flood. The effort that has been done to anticipate the flood, is pay Agricultural Insurance preimium of Rp. 50.000, - per hectare, where with the sum insured price of Rp.6.000.000, - per hectare, then the cost of compensation to be prepared by the government is Rp. 6,000,000 x 1,105.56 ha = Rp. 6.630.000.000,00 per planting season.
UR - http://www.scopus.com/inward/record.url?scp=85077553455&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/338/1/012037
DO - 10.1088/1755-1315/338/1/012037
M3 - Conference article
AN - SCOPUS:85077553455
SN - 1755-1307
VL - 338
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012037
T2 - 13th Southeast Asian Geography Association Conference, SEAGA 2017
Y2 - 28 November 2017 through 1 December 2017
ER -