Reducing the Risk of Flood Disasters in Lamongan Regency Using the Geographic Information System (GIS)

Flood disasters cause negative impacts, such as damage to facilities to the onset of fatalities. Reducing the risk of flooding needs to be done to reduce the impact caused by this disaster. Lamongan Regency is one of the regencies in East Java affected by floods every year in most of its areas. This study aims to reduce the risk caused by flooding by using GIS (Geographic Information System). Mitigation is done by determining areas with a high potential risk of being affected by flooding. The study used spatial analysis functions in ArcGIS. Supporting variables used rainfall, land cover, slope, soil texture, and watershed area, and it becomes important in determining flood-prone areas. From the results, the largest soil classification is the Kpl soil type. Litosol Gray Grumosol, The wide distribution of rainfall from 1500-1750 mm has the widest distribution is 66,67 ha. The slope of 0-8% has the widest distribution of 92,257 ha, making Lamongan a very vulnerable high flood area. Laren District is the District with the greatest flood potential, and Irrigated Field is the dominant land cover type affected by the flood. With the flood disaster map generated from this research, local governments can seek prevention in areas with high flood potential. They can carry out socialization based on disaster mitigation, especially for districts with potential flooding

TERRITORIAL DISTRIBUTION OF URBAN LOCALITIES IN WETLAND AREAS IN URUGUAY

Wetlands occupy between 4% and 6% of the earth's surface and are increasing its significant importance due to its productive landscapes and biological content. Placed amongst the planet's most threatened areas, more than 50% of wetlands were lost in the past century and those less affected have suffered different magnitudes of deterioration, caused by multiple anthropic intervention. Uruguay's dense riverbed runs throughout most of its territory, being wetlands very diverse ecosystems regarding landscapes as well as the rich and bountiful forms of life found in them. This research focuses on assessing the situation of urban zones found within wetland areas throughout national territory, providing information about its dimension as well as assessing the situation for people who inhabit these zones. A methodological strategy based on the spatial analysis of the Geographical Information System's registries allowed research to identify and distinguish flooding in urban zones and its distribution pattern on a national scale. The amount of urban zones developing within wetland areas goes up to 50% of national territory and therefore constitutes undoubtely a national scale problem

An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events

This paper provides an overview of multi-criteria decision analysis (MCDA) applications in managing water-related disasters (WRD). Although MCDA has been widely used in managing natural disasters, it appears that no literature review has been conducted on the applications of MCDA in the disaster management phases of mitigation, preparedness, response, and recovery. Therefore, this paper fills this gap by providing a bibliometric analysis of MCDA applications in managing flood and drought events. Out of 818 articles retrieved from scientific databases, 149 articles were shortlisted and analyzed using a Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) approach. The results show a significant growth in MCDA applications in the last five years, especially in managing flood events. Most articles focused on the mitigation phase of DMP, while other phases of preparedness, response, and recovery remained understudied. The analytical hierarchy process (AHP) was the most common MCDA technique used, followed by mixed-method techniques and TOPSIS. The article concludes the discussion by identifying a number of opportunities for future research in the use of MCDA for managing water-related disasters