Assessment and zoning Flood risk by using Fuzzy logic TOPSIS in GIS (Case study: Baghmalek urban catchment)

Abstract:
Map TOPSIS model shows the output from the South, Southwest and East regions of the very high risk zones. According to calculations, the 17.86% of the high-risk zone 11.72% of low risk and moderate risk was 27.49% in the area. According to the steep south-western areas of concentration are Runoff
Conclusion
Zoning maps and warning systems and rescue operations can have very good performance. To determine the risk of flood hazard areas in the watershed of Baghmlk of seven factors in order of priority are. Aspect, distance from drainage lines, slope, rainfall, height, build, and land use. Was used .the relative weight of Aspect (0/1933782) and the lowest weight Land Use (0/926625) have won and of very low to very high risk areas were identified. According to calculations, the 17.86% of the high-risk zone, 24.15% in the range of 27.49% in high-risk areas with moderate risk 18.76 percent in areas with low risk and 11.27-percent limit of the study area is located at a very low risk. Analysis of the results suggests that map to the west, south, south-western and eastern part of the region, has the greatest potential risk of flooding are The main reason is that the eastern regions due to greater heights, the intervening seasonal river Abvalbas and more precipitation, higher runoff are susceptible to rise The seasonal river crossing from the West region Glal major role in creating and directing surface water seasonal floods during the rainy season in this area.
Language:
Persian
Published:
Journal of Natural environment hazards, Volume:5 Issue: 10, 2017
Pages:
79 to 98
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