scholarly journals COMPARISON OF ANALYTICAL HIERARCHY PROCESS AND FUZZY METHOD IN DEFORESTATION RISK ZONING

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 851-856
Author(s):  
M. Pir Bavaghar ◽  
H. Ghazanfari ◽  
S. Rahimi
Keyword(s):  
Combination Method ◽  
Linguistic Terms ◽  
Resources Management ◽  
Risk Zoning ◽  
Fuzzy Methods ◽  
Special Weight ◽  
Risk Zones ◽  
Gis Environment ◽  
Hierarchy Process ◽  
Very High

Abstract. Detection and prediction of land-cover changes are powerful tools in natural resources management and ecosystem assessment. This study was carried out to compare multi-criteria decision techniques (AHP and fuzzy) in deforestation risk zoning. The TM images of Landsat 5 were used to produce deforestation map during 1989 to 2011. In the next step, the most important criteria affecting deforestation were determined. The final weights of criteria were computed using expert's judgments, pairwise comparisons by AHP and also linguistic terms by fuzzy technique. Weighted linear combination method was used to combining the criteria, and each of the generated maps with its special weight was integrated into the GIS environment. The final deforestation risk zoning map, in both methods of AHP and fuzzy, were classified into five classes including of very high, high, moderate, low and very low risk.Evaluation of the results showed that 81.07 and 80.65 percentages of deforestation are located in the very high and high risk zones in the maps derived from AHP and fuzzy approaches, respectively. Based on the results, AHP and fuzzy methods have suitable performance in deforestation risk zoning. Thus, despite the different nature of the AHP and fuzzy methods, it was observed that these two methods do not have much difference in deforestation risk zoning of the study area, in practice.

scholarly journals Forest fire risk mapping using analytical hierarchy process (AHP) and earth observation datasets: a case study in the mountainous terrain of Northeast India

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Ridalin Lamat ◽  
Mukesh Kumar ◽  
Arnab Kundu ◽  
Deepak Lal
Keyword(s):  
High Risk ◽  
Forest Fire ◽  
Analytical Hierarchy Process ◽  
Fire Risk ◽  
Control Measures ◽  
Fire Control ◽  
Risk Zones ◽  
Hierarchy Process ◽  
Forest Fire Risk ◽  
Very High

AbstractThis study presents a geospatial approach in conjunction with a multi-criteria decision-making (MCDM) tool for mapping forest fire risk zones in the district of Ri-Bhoi, Meghalaya, India which is very rich in biodiversity. Analytical hierarchy process (AHP)-based pair-wise comparison matrix was constructed to compare the selected parameters against each other based on their impact/influence (equal, moderate, strong, very strong, and extremely strong) on a forest fire. The final output delineated fire risk zones in the study area in four categories that include very high-risk, high-risk, moderate-risk, and low-risk zones. The delineated fire risk zones were found to be in close agreement with actual fire points obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) fire data for the study area. Results indicated that Ri-Bhoi’s 804.31 sq. km. (32.86%) the area was under ‘very high’ fire susceptibility. This was followed by 583.10 sq. km. (23.82%), 670.47 sq. km. (27.39%), and 390.12 sq. km. (15.93%) the area under high, moderate, and low fire risk categories, respectively. These results can be used effectively to plan fire control measures in advance and the methodology suggested in this study can be adopted in other areas too for delineating potential fire risk zones.

scholarly journals Flash Flood Susceptibility Assessment and Zonation Using an Integrating Analytic Hierarchy Process and Frequency Ratio Model for the Chitral District, Khyber Pakhtunkhwa, Pakistan

Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1650
Author(s):  
Hassan Waqas ◽  
Linlin Lu ◽  
Aqil Tariq ◽  
Qingting Li ◽  
Muhammad Fahad Baqa ◽  
...  
Keyword(s):  
High Risk ◽  
Frequency Ratio ◽  
Flash Flood ◽  
Drainage Density ◽  
Low Risk ◽  
Physical Parameters ◽  
Observation Data ◽  
Risk Zones ◽  
Hierarchy Process ◽  
Very High

Pakistan is a flood-prone country and almost every year, it is hit by floods of varying magnitudes. This study was conducted to generate a flash flood map using analytical hierarchy process (AHP) and frequency ratio (FR) models in the ArcGIS 10.6 environment. Eight flash-flood-causing physical parameters were considered for this study. Five parameters were based on the digital elevation model (DEM), Advanced Land Observation Satellite (ALOS), and Sentinel-2 satellite, including distance from the river and drainage density slope, elevation, and land cover, respectively. Two other parameters were geology and soil, consisting of different rock and soil formations, respectively, where both layers were classified based on their resistance against water percolation. One parameter was rainfall. Rainfall observation data obtained from five meteorological stations exist close to the Chitral District, Pakistan. According to its significant importance in the occurrence of a flash flood, each criterion was allotted an estimated weight with the help of AHP and FR. In the end, all the parameters were integrated using weighted overlay analysis in which the influence value of the drainage density was given the highest value. This gave the output in terms of five flood risk zones: very high risk, high risk, moderate risk, low risk, and very low risk. According to the results, 1168 km2, that is, 8% of the total area, showed a very high risk of flood occurrence. Reshun, Mastuj, Booni, Colony, and some other villages were identified as high-risk zones of the study area, which have been drastically damaged many times by flash floods. This study is pioneering in its field and provides policy guidelines for risk managers, emergency and disaster response services, urban and infrastructure planners, hydrologists, and climate scientists.

scholarly journals Flood Risk Zoning of Satluj River Basin, Himachal Pradesh, India

2015 ◽  
Vol 40 ◽  
pp. 6-15 ◽  
Author(s):  
Sandeep Kumar ◽  
Santosh
Keyword(s):  
At Risk ◽  
Land Use ◽  
River Basin ◽  
Flood Risk ◽  
Low Risk ◽  
Risk Zone ◽  
Risk Zoning ◽  
Risk Zones ◽  
Satluj River ◽  
Very High

Increasing intensity and frequency of rainfall coupled with gradual retreating of glaciers due to climate change in Himalayan region likely to increase the risk of floods. A better understanding of risk zones which are vulnerable to flood disasters can be evolved from the detailed studies on slope, geomorphology and land use/ land cover pattern. Information of these parameters is an important input for the identification of vulnerable areas. Flood risk maps provide useful information about places that may be at risk from flooding. It offers a cost-effective solution for planning, management and mitigation strategies in risky areas. Traditional methods of flood risk mapping are based on ground surveys and aerial observations, but when the phenomenon is widespread, such methods are time consuming and expensive. The possible combination of DEM and other maps of area using an overlay operation method within the Geographical Information System (GIS) platform can lead to derivation and the understanding of spatial association between various parameters which could be used to predict flood risk zones. The study area i.e. Satluj River Basin has been broadly divided into five risk zones viz., very low, low, moderate, high and very high which helped to differentiate between areas that are at risk of different intensities of flood. The very high flood risk zone covers only 3.25 % of total study area, while the very low risk zone covers 13.63 %. The area falls within the very high and high risk constitutes 9.52 % of total basin area. Domain of moderate risk covers an area of 30.66 %. But the maximum area of river basin is constituted by low risk zone i.e. 46.19 %. Identification of such zones will help in timely adopting of mitigation and adaptation measures. Preparation of flood risk zoning maps also helps in regulating indiscriminate and unplanned land use practices in risky areas.

scholarly journals Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud

2020 ◽  
Vol 9 (12) ◽  
pp. 720 ◽  
Author(s):  
Kishore Chandra Swain ◽  
Chiranjit Singha ◽  
Laxmikanta Nayak
Keyword(s):  
Google Earth ◽  
Susceptibility Mapping ◽  
Flood Susceptibility ◽  
Land Cover Dynamics ◽  
Risk Zones ◽  
Flood Susceptibility Mapping ◽  
High Flood ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Very High

Flood susceptibility mapping is essential for characterizing flood risk zones and for planning mitigation approaches. Using a multi-criteria decision support system, this study investigated a flood susceptible region in Bihar, India. It used a combination of the analytical hierarchy process (AHP) and geographic information system (GIS)/remote sensing (RS) with a cloud computing API on the Google Earth Engine (GEE) platform. Five main flood-causing criteria were broadly selected, namely hydrologic, morphometric, permeability, land cover dynamics, and anthropogenic interference, which further had 21 sub-criteria. The relative importance of each criterion prioritized as per their contribution toward flood susceptibility and weightage was given by an AHP pair-wise comparison matrix (PCM). The most and least prominent flood-causing criteria were hydrologic (0.497) and anthropogenic interference (0.037), respectively. An area of ~3000 sq km (40.36%) was concentrated in high to very high flood susceptibility zones that were in the vicinity of rivers, whereas an area of ~1000 sq km (12%) had very low flood susceptibility. The GIS-AHP technique provided useful insights for flood zone mapping when a higher number of parameters were used in GEE. The majorities of detected flood susceptible areas were flooded during the 2019 floods and were mostly located within 500 m of the rivers’ paths.

scholarly journals Karst Collapse Risk Zonation and Evaluation in Wuhan, China Based on Analytic Hierarchy Process, Logistic Regression, and InSAR Angular Distortion Approaches

2021 ◽  
Vol 13 (24) ◽  
pp. 5063
Author(s):  
Jiyuan Hu ◽  
Mahdi Motagh ◽  
Jiayao Wang ◽  
Fen Qin ◽  
Jianchen Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
High Risk ◽  
Ground Subsidence ◽  
Karst Area ◽  
Angular Distortion ◽  
Karst Collapse ◽  
Risk Zoning ◽  
Risk Zonation ◽  
Risk Zones ◽  
Hierarchy Process

The current study presents a detailed assessment of risk zones related to karst collapse in Wuhan by analytical hierarchy process (AHP) and logistic regression (LR) models. The results showed that the LR model was more accurate with an area under the receiver operating characteristic (ROC) curve of 0.911 compared to 0.812 derived from the AHP model. Both models performed well in identifying high-risk zones with only a 3% discrepancy in area. However, for the medium- and low-risk classes, although the spatial distribution of risk zoning results were similar between two approaches, the spatial extent of the risk areas varied between final models. The reliability of both methods were reduced significantly by excluding the InSAR-based ground subsidence map from the analysis, with the karst collapse presence falling into the high-risk zone being reduced by approximately 14%, and karst collapse absence falling into the karst area being increased by approximately 6.5% on the training samples. To evaluate the practicality of using only results from ground subsidence maps for the risk zonation, the results of AHP and LR are compared with a weighted angular distortion (WAD) method for karst risk zoning in Wuhan. We find that the areas with relatively large subsidence horizontal gradient values within the karst belts are generally spatially consistent with high-risk class areas identified by the AHP- and LR-based approaches. However, the WAD-based approach cannot be used alone as an ideal karst collapse risk assessment model as it does not include geological and natural factors into the risk zonation.

scholarly journals Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 758 ◽  
Author(s):  
Romulus Costache ◽  
Alina Barbulescu ◽  
Quoc Bao Pham
Keyword(s):  
Analytical Hierarchy Process ◽  
Process Model ◽  
Buffer Zone ◽  
Training Sample ◽  
Flash Floods ◽  
Operating Characteristics ◽  
Conditioning Factors ◽  
Flood Susceptibility ◽  
Hierarchy Process ◽  
Very High

In the present study, the susceptibility to flash-floods and flooding was studied across the Izvorul Dorului River basin in Romania. In the first phase, three ensemble models were used to determine the susceptibility to flash-floods. These models were generated by a combination of three statistical bivariate methods, namely frequency ratio (FR), weights of evidence (WOE), and statistical index (SI), with fuzzy analytical hierarchy process (FAHP). The result obtained from the application of the FAHP-WOE model had the best performance highlighted by an Area Under Curve—Receiver Operating Characteristics Curve (AUC-ROC) value of 0.837 for the training sample and another of 0.79 for the validation sample. Furthermore, the results offered by FAHP-WOE were weighted on the river network level using the flow accumulation method, through which the valleys with a medium, high, and very high torrential susceptibility were identified. Based on these valleys’ locations, the susceptibility to floods was estimated. Thus, in the first stage, a buffer zone of 200 m was delimited around the identified valleys along which the floods could occur. Once the buffer zone was established, ten flood conditioning factors were used to determine the flood susceptibility through the analytical hierarchy process model. Approximately 25% of the total delimited area had a high and very high flood susceptibility.

scholarly journals Flood vulnerability mapping using the spatial multi-criteria evaluation (SMCE) method in the Minraleng Watershed, Maros Regency, South Sulawesi

2020 ◽  
Vol 153 ◽  
pp. 01004
Author(s):  
Muhammad Fadhil ◽  
Yoanna Ristya ◽  
Nahra Oktaviani ◽  
Eko Kusratmoko
Keyword(s):  
Information System ◽  
Rainfall Intensity ◽  
Physical Factors ◽  
Relative Importance ◽  
Flood Vulnerability ◽  
South Sulawesi ◽  
Multi Criteria Evaluation ◽  
Gis Environment ◽  
Very High ◽  
Vulnerable Zones

This study focuses on the assessment of flood-vulnerable areas in the Minraleng watershed, Maros Regency, where the area experiences floods every year. Spatial analysis in the Geographic Information System (GIS) environment has been applied to estimate flood-vulnerable zones using six relevant physical factors, such as rainfall intensity, slope, Elevation, distance from the rivers, land use and soil type. The relative importance of physical factors has been compared in paired matrices to obtain weight values using the Spatial Multi-Criteria Evaluation (SMCE) method. The result showed that the areas located in Camba sub-district had the high vulnerability. The region with a high and very high vulnerability to flood were spread with an area of 436 ha (0,84 %) and 6.168 ha (11.8%).

scholarly journals Reclaimed Asphalt Pavement (RAP) Based on a Geospatial Information System (GIS)

2020 ◽  
Vol 28 (2) ◽  
pp. 36-42
Author(s):  
Hossein Hariri Asli ◽  
Mahyar Arabani ◽  
Yaser Golpour
Keyword(s):  
Information System ◽  
Asphalt Pavement ◽  
Reclaimed Asphalt Pavement ◽  
Geospatial Information ◽  
Reclaimed Asphalt ◽  
Medium Risk ◽  
Profile Depth ◽  
Risk Zones ◽  
The Mean ◽  
Very High

AbstractA Geospatial Information System (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geospatial data. Reclaimed Asphalt Pavement (RAP) based on the GIS is one of the indirect and efficient methods in identifying areas. In this work, an analytical computational process combined with a spatial analysis was used to identify pavement zones for a city. The zoning results were categorized in four classes, including very high, high, medium risk, and low risk zones. The high and very high risk zones have been considered as a whole. The work circumstances include the Mean Profile Depth (MPD) data as a function of the number of wheel passes and the temperature; ten (10) specimens were selected from a set of 23 specimens. The results showed a good correlation between the parameters, including the number of wheels passing, the temperature, and the MPD.

scholarly journals Selecting key areas for conservation at the regional level: the case of the globally ‘Near Threatened’ Cinereous Vulture Aegypius monachus in south-east Portugal

2012 ◽  
Vol 23 (2) ◽  
pp. 168-183 ◽  
Author(s):  
PEDRO M. LOURENÇO ◽  
NUNO CURADO ◽  
FILIPA LOUREIRO ◽  
ALFONSO GODINO ◽  
EDUARDO SANTOS
Keyword(s):  
Regional Level ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Nesting Sites ◽  
Conservation Actions ◽  
Bibliographic Search ◽  
Cinereous Vulture ◽  
Suitability Maps ◽  
Gis Environment ◽  
Hierarchy Process

SummarySince the resources available for nature conservation tend to be very limited, localised conservation actions are often the only feasible management option. Therefore, we must select key areas where these actions will be most effective. Here we used Weighted Linear Combination (WLC) to integrate various variables in a GIS environment and identify key areas for implementing conservation actions benefiting Cinereous Vultures Aegypius monachusin south-east Portugal. Through a bibliographic search, we selected four main variables and sub-variables related to land use, food availability, disturbance and topography. These were weighted for their relative importance using the Analytic Hierarchy Process (AHP) and combined using WLC to obtain suitability maps for the best nesting and foraging sites for Cinereous Vultures. Overall, the study areas show moderate to high suitability as foraging areas for the species, but only a few small patches seem suitable as nesting sites. The use of GIS-based decision support systems, such as WLC, together with an objective method for weighting variables, like the AHP, allows for the integration of large amounts of cartographic information into suitability maps that can easily be used to select key areas for conservation at the regional level.

IMPACT OF MONTANE ENVIRONMENTAL LOADS ON THE ENVIRONMENTAL QUALITY OF THE SLOVAK REPUBLIC

2021 ◽  
Author(s):  
Boutheyna Touafchia ◽  
Rached-Kanouni Malika ◽  
Kadi Zahia
Keyword(s):  
Environmental Quality ◽  
Slovak Republic ◽  
Analytic Hierarchy ◽  
Environmental Loads ◽  
Synergistic Interactions ◽  
Average Impact ◽  
Hierarchy Process ◽  
Environmental Burdens ◽  
Very High

Environmental burdens are currently a significant determinant ofenvironmental quality. The occurrence of montane environmental burdens affects the environmental quality at the local, regional and supraregional levels, mostly to a negative extent. Environmental pollution, due to montane environmental burdens is accompanied by a reduction in environmental quality in all spheres of anthropogenic existence. It is for this reason that the presented article studies the occurrence of montane environmental burdens and their impact on environmental quality in individual regions of the Slovak Republic. In the analyses Analytic Hierarchy Process a multi-criteria decision-making method based on values of the weights in terms of the principles of the Saaty matrix – a quantification of synergistic interactions of indicators. The study concentrates on selected comparative years 2008, 2012, 2017 and 2021 and includes a matrix of their elimination. The results present a categorization of montane environmental loads in the Slovak Republic into categories of the environmental load (from very low to very high) on the environmental quality. In the summary matrix of a comprehensive assessment of montane environmental loads, negative indicators (55.65%) prevails over positive ones (44.35%) with a total scoring ratio of 0.80, i.e. III. category, the average impact on environmental quality.

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