scholarly journals Optimal Size Determination of Flood Mitigation Facilities in a Watershed Using Geo-Spatial Information System and Economic Analysis: Focused on Dam Height Raise Project

Author(s):  
Cheon-Kyu Choi ◽  
Gil-Ho Kim ◽  
Kyu-Dong Yeo ◽  
Myung-Pil Shim ◽  
Yun-Seok Choi
2021 ◽  
Vol 1 (2) ◽  
pp. 55-60
Author(s):  
Moh. Ali Ma'sum

One of the anticipation actions that can be done before the flood disaster comes is to determine the evacuation route and evacuation location or shelter for flood relief and spread to the public in order to accelerate the process of evacuation of disaster victims so as to minimize losses from the flood itself. This research was conducted by approaching Geographic Information System (SIG) The purpose of this research is (1) Knowing the flood-prone agihan in Laweyan Subdistrict based on SIG. (2) Analyze the Availability of Shelter Locations (Educational Buildings and Buildings of Worship) of flood victims in Laweyan Subdistrict. It is expected that in the research to know the potential of the best temporary evacuation shelter / protection and evacuation design so that it can be considered and help the relevant agencies, especially local BPBD in order to improve flood mitigation in Sumber Village, Banjarsari District, Surakarta City. To reduce or overcome the impact caused by flood disasters on the comfort and safety of the community in Laweyan Subdistrict, researchers need to raise the title, " Determination of Flood Victim Shelter in Lawean District of Surakarta City Based on Geographic Information System".


Author(s):  
Muhammad Sholikhan ◽  
Sri Yulianto Joko Prasetyo ◽  
Kristoko Dwi Hartomo

WebGIS is an online-based application of Geographic Information System, this application is a combination of web design and web mapping. WebGIS is mainly used for publishing map-based spatial information. Therefore, the author utilized webGIS, in order to mapping area that prone to landslides by using scoring and weighting methods. Parameters that used in this paper referring to the estimation model by Puslittanak in 2004, the parameters were rainfall, rock type, slope, land use, and type of soil maps. The determination of area prone to landslides was carried out by multiplying score by weight for each parameter, subsequently, the result was added up according to the reference of Puslittanak. The result of this study indicates that there are 4 sub-districts with high disaster-prone level, the sub-districts are Ampel, Cepogo, Musuk, and Selo. The final result of the map processed into a webGIS by applying Google maps service and framework bootstrap; the webGIS can be accessed by internet browser.


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