Flood Risk Mapping Using GIS and Multi-Criteria Analysis at Nanga Pinoh West Kalimantan Area

Purwanto, Ajun; Rustam, Rustam; Andrasmoro, Dony; Eviliyanto, Eviliyanto

doi:10.22146/ijg.69879

Cited by 11 publications

(8 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conversely, suppose the form and land use method are incorrect, meaning land use does not align with the land's capabilities. In that case, the natural balance becomes disrupted, referred to as hazardous land conditions [29]. Land with abundant vegetation will facilitate rainwater infiltration, and it takes more time for runoff to reach rivers, reducing the likelihood of flooding compared to areas without vegetation [26].…”

Section: Resultsmentioning

confidence: 99%

Application of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) in flood hazard analysis in the Rawa Pening Sub-Watershed, Indonesia

Khumaeroh,

Sari

2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The watershed is one of the ecological functional units in a region. The Rawa Pening Sub-Watershed, located in Semarang Regency and its surroundings, is the upper region of the Tuntang Watershed, which experiences periodic floods. Flood hazard disasters occur due to several contributing factors. This phenomenon significantly affects the residents in the Rawa Pening Sub-Watershed, particularly in the agricultural sector, specifically in the local paddy fields. With the development of Geographic Information Systems (GIS) in disaster management, it is possible to provide preliminary information on predicting flood hazard zones, particularly in the Rawa Pening Sub-Watershed. This study aimed to determine the most influential parameters and areas highly prone to flood hazards in the Rawa Pening Sub-Watershed. Nine parameters, including elevation, slope, curvature, precipitation, land use, soil type, distance to the river, Normalized Difference Vegetation Index, and Topographic Wetness Index, were analyzed based on their respective roles. The Analytical Hierarchy Process (AHP) and Ordered Weighted Averaging (OWA) techniques were employed to obtain the flood hazard map. The nine parameters were weighted according to a Forum Group Discussion. The results yielded a flood hazard map divided into five zones: very low (3451,64 Ha / 13,16%), low (5024,29 Ha / 19,16%), moderate (6049,35 Ha / 23,07%), high (7949,67 Ha / 30,31%), and very high (3750,93 Ha / 14,30%).

show abstract

Section: Resultsmentioning

confidence: 99%

Application of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) in flood hazard analysis in the Rawa Pening Sub-Watershed, Indonesia

Khumaeroh,

Sari

2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…marked increase in the level of watershed management through the characteristics of a watershed (Hasan et al, 2017;Purwanto et al, 2022). Many studies related to spatial-based morphometric analysis, namely Remote Sensing and Geographic Information Systems.…”

Section: Morphometric Analysis Ismentioning

confidence: 99%

Morphometry Analysis of Silat Sub-Watershed Based on Geospatial Technology in the Silat Hulu Sub District

Ramdhania

Rianingsih²,

Nurfitri³

et al. 2023

geoeco

View full text Add to dashboard Cite

<p>This study aims to obtain morphometric data from the Silat sub-watershed. The method used is a survey and interpretation of secondary data. Secondary data is taken from Remote Sensing Images, Topographic Maps, and Administration maps. The morphometric data taken were the area, shape, circumstance, river length, river order, height, and drainage density. Data analysis using the Spatial Analyst Tool, namely Hydrology, Map Algebra, and Density tools from ArcGis 10.8. Based on the research results, it is known that the Silat watershed has an area of 466 km², a circumference of 147 km, and a river length of 51 km. The shape of the Silat watershed is elongated because the Circularity Ratio value is 0.27 (<0.5), and the Elongation Ratio value is 5.14 (round). The order of the river network is up to order 6, with a branching index (Rb) of order 1 = 2.03; 2nd order = 2.09; 3rd order = 1.75; 4th order = 1.84; and 5th order = 0.96. The Weighted Average Branching Index (WRb) was 2.73 (<3). The Silat sub-watershed has a height of 32 - 255 meters above sea level. Low river density, dendritic river flow pattern. <em></em></p>

show abstract

“…One of the affected community activities is the agricultural sector. High rainfall makes slopes steeper, and higher water runoff makes groundwater reserves smaller, impacting agricultural land degradation [1] [2] [3] [4]. Data from the National Disaster Management Agency (BNPB) shows that extreme weather conditions have an impact on increasing flood hazard zones in several areas, one of which is around the Tuntang watershed.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, Tuntang watershed and its surroundings need a good disaster management system to minimize material losses and casualties. Educating the general public and students in schools about the importance of evacuation routes and appropriate and efficient evacuation sites will have a significant impact [4] [5] [6].…”

Section: Introductionmentioning

confidence: 99%

“…A proper evacuation location requires several parameters, such as distance from settlements, roads, river flow, and safety from flood hazards [4]. Previous studies conducted by Coutinho-Rougers verified that the relationship between time and distance to the evacuation site on foot is influenced by several factors such as road width, type of paving, slope conditions, and pedestrian speed up to a specific limit [7] [8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Network analysis for determining the fastest evacuation routes in flood-prone areas of the Tuntang Watershed, Indonesia

Maulana,

Sari

2024

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Flooding in the Tuntang Watershed, Central Java Province, is a hydrological disaster that occurs regularly. Several factors, such as high rainfall, limited water catchment areas, and narrowing riverbanks, cause flooding. The amount of material and non-material losses can be minimized through an effective disaster mitigation process. One way is to determine and establish flood evacuation routes to shelters. This research aims to analyze the fastest and most effective evacuation route for residents using Geographic Information Systems. This research process includes analyzing flood-prone areas, ranging from highly vulnerable areas to areas that are not vulnerable. Furthermore, it analyzes population density, distribution of residential areas, natural physical conditions, and road conditions and identifies the location of the best evacuation center for residents affected by flooding. The method used is Sample Additive Weighting (SAW) to determine the best evacuation point and Network Analysis Fastest Route to determine the optimal evacuation route to the designated evacuation center. The results of this study include modeling a flood evacuation route with an estimated effective evacuation time of 30-45 minutes, consisting of 50 fastest alternative routes to appropriate shelters.

show abstract

Flood Risk Mapping Using GIS and Multi-Criteria Analysis at Nanga Pinoh West Kalimantan Area

Cited by 11 publications

References 45 publications

Application of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) in flood hazard analysis in the Rawa Pening Sub-Watershed, Indonesia

Application of Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) in flood hazard analysis in the Rawa Pening Sub-Watershed, Indonesia

Morphometry Analysis of Silat Sub-Watershed Based on Geospatial Technology in the Silat Hulu Sub District

Network analysis for determining the fastest evacuation routes in flood-prone areas of the Tuntang Watershed, Indonesia

Contact Info

Product

Resources

About