APPLICATION OF GEOINFORMATICS TECHNIQUES IN CONTROLLING FLOODING IN VULNERABLE ROADS AND BUILDINGS IN NIGERIA
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- 1-5 Chapters
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- Reference Style: APA
- Recommended for : Student Researchers
- NGN 3000
Abstract
The reoccurring flooding in some parts of Rivers State had been a major research concern. Seasonally, coastal communities in the State are flooded to the extent that damages are caused to human lives and properties, especially during heavy falls. In 2018 some communities along the Orashi region were seriously affected by flooding. As recorded by Vanguard Newspapers dated 19th October, 2018, about 9,250 people were displaced, properties worth millions of Naira were destroyed, and farmlands spanning hundreds of hectares were submerged and left impoverished after two days of heavy down pour. Indeed, it was described as very disastrous. This study aimed at performing an investigation on flood vulnerability in some parts of Rivers State using Remote Sensing and GIS. Its objectives are to delineate different vulnerability levels of flooding in the study area, to determine the effect or impact of flooding on different land cover types and to produce flood vulnerability map of the study area. The methodology involves data acquisition, data processing and reclassification and overlay analysis. The classification achieved an overall Accuracy of 85.99% and kappa statistics of 0.8992. The image classification results indicate that vegetation accounted for the largest land cover/use of about 37.23 % with an area of 4096 km2 while built up area had the second largest with 31.48 % and an area of 3463 km2, water body had 11.51 % with an area of 1267 km2, open space had 9.78 % with an area of 1076 km2 and mangrove had 9.98 % with an area of 1098 km2. The flood vulnerability mapping results also indicated that high-vulnerability zone occupied 28.60% of the entire study area, covering an area of 3147km2, while moderate vulnerability zone occupied 27.28%, covering an area of 3001km2. Low vulnerability zone occupied 27.05%, covering 2976km2 while no vulnerability zone occupied 17.05% covering an area of 1876km2. The researcher recommends that the vulnerability maps produced in this research be used in encouraging vulnerability zone residents to prepare for the occurrence of flooding.
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