Risk-level assessment system on Bengawan Solo River basin flood prone areas using analytic hierarchy process and natural breaks: Study case: East Java

Author(s):  
Haris Rahadianto ◽  
Arna Fariza ◽  
Jauari Akhmad Nur Hasim
Author(s):  
Nguyen Ba Dung ◽  
Dang Tuyet Minh ◽  
Nguyen Quoc Long ◽  
Le Thi Thu Ha

There are many factors that influence the formation and development of floods, such as rainfall, soil, slope, land cover, drainage, and density. Therefore, a quantitative assessment of their importance is necessary, especially in the determination of flood risk zones, using the Analytic Hierarchy Process algorithm and Geographic Information System. In comparison with other methodologies, an obvious advantage of Analytic Hierarchy Process is the ability to solve multi-variable qualitative and quantitative problems with precise and trustworthy results. This paper presents the application of the Analytic Hierarchy Process algorithm in analyzing and evaluating the level at which various criteria affect flood risk in the Lam River basin. Some of the flood-causative factors considered in this paper are annual rainfall, soil, slope, land cover, drainage density, and relative slope length. These factors were chosen based on the physical conditions of the study area. The research results are the weight of different criteria. The higher the weight, the higher the effect of that criterion on flood risk. The computed weights show that annual rainfall and slope are the factors that contribute the most to flooding, based on decision-makers’ judgement. The results of this article can be used to construct a flood risk zoning map and flood susceptibility map for flood warnings in the Lam River basin, using the Analytic Hierarchy Process method and Geographic Information System technology. New research shows that Analytic Hierarchy Process can be trustworthy when assessing the level of influence of the different factors on determining flood-prone areas in the Lam River basin, as well as other basins.


2021 ◽  
Author(s):  
Qianhui Yuan ◽  
Huihui Wu ◽  
Yunqiang Zhao ◽  
Yuhang Zhang ◽  
Ruihua Yao ◽  
...  

Abstract Ecosystem services provided by river ecosystems rely on healthy ecosystem structure and ecological processes. The Beijing-Tianjin-Hebei urban is a typical water-deficient area. As an important part of the urban-rural integration construction, evaluating the health status of the Beiyun River Basin and discovering the weak links in the water environment is the basis for improving the health of the basin. In this study, Analytic Hierarchy Process was used to establish an evaluation index system for the Beiyun River Basin from 5 aspects including water quality, biology, habitat, hydrology, and social functions, and to assign weights to the index layer. The evaluation results showed that the health evaluation results of the Beiyun River Basin in 2019 are “sub-healthy”, and the overall health status is gradually worsening from northwest to southeast. In the middle reaches of the region, the evaluation result is "healthy", followed by the upstream, and the downstream is the worst. The results showed that areas with less human interference are in better health. The factors that affect the overall health evaluation status in the basin are the level of nutrition, biodiversity, and vegetation coverage. For the comprehensive management of the Beiyun River, the improvement of water quality and habitat ecological restoration is the key to the health of the upstream ecosystem health status. The improvement of the health status of the downstream should focus on equal emphasis on water quality and quantity, restoration of biodiversity, and improvement of the quality of the riparian ecological environment.


2013 ◽  
Vol 361-363 ◽  
pp. 1144-1149
Author(s):  
Ming Li ◽  
Zi Lin Yi ◽  
Yang Wang

This paper mechanically applies the thought of recursive hierarchical structure in analytic hierarchy process, by means of fuzzy mathematics, with the investigation, analysis, induction, the fuzzy relation matrix has been found, at the same time, the assignment weight of index is merged into that. Then the integrated condition assessment results of bridge are gained finally. This method greatly reduces the happening of ill-considering the influencing factors, make the results more real, specific and comprehensive, avoid effectively great loss which is caused by the defects of safety and service performance.


2011 ◽  
Vol 71-78 ◽  
pp. 4166-4169
Author(s):  
Shu Liang Liu ◽  
Peng Liang Hao ◽  
Yun Xia Song

Green building is the inevitable trend of future building development, many countries have formed their own green building assessment system. For now at stage of rapid development of urbanization in China, the establishment of green building assessment system and its further improved are of great significance. As a scientific evaluation system, the index of green building assessment system should have a sound weights system. This article attempts to apply the Analytic hierarchy process method to the Green Building evaluation standards of China, which intend to explore the method of constructing the weight system of China Green Building Evaluation standards.


2021 ◽  
Author(s):  
Yu Chen

The first step of formulating flood risk management strategies is to identify the flood at-hazard areas. This study aims to map flood-prone areas with different hazard levels in the Dadu River basin, using simple additive weighting (SAW) and analytic hierarchy process (AHP) methods and the geographic information systems (GIS) tool. The grid map of selected criteria, rainfall, topography, drainage, and the usage of land were processed and applied to estimate the flood hazard index (FHI) values in the basin in the GIS environment. The resultant map illustrates the spatial distribution of basin-scale flood at-hazard areas, can be used as powerful guidance of implementing preventing and alleviating flood risk for decision-makers and managers, and extended application in other basins or disaster fields.


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