Evaluation of flood risk analyses with AHP, Kriging, and weighted sum models: example of Çapakçur, Yeşilköy, and Yamaç microcatchments

Meral, Alperen; Eroğlu, Engin

doi:10.1007/s10661-021-09282-w

Cited by 16 publications

(6 citation statements)

References 29 publications

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“…This included spatial interpolation [59][60][61] of the temperature and precipitation data to smooth the data and unify the spatial resolution of all indicator data to 100 m. The third step was to perform weighted calculations on the assessment data to obtain the final assessment scores. Specifically, the indicator data were assigned values according to the classification standards of the indicator level, and the indicator scores were weighted and summed using the weighted sum equation [62][63][64] (see Equation ( 1)) to obtain the criterion level scores. The criterion level scores were then weighted and summed using the weighted sum equation (see Equation ( 2)) to obtain the final assessment scores.…”

Section: Comprehensive Assessment and Classification Standardsmentioning

confidence: 99%

Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data

Chen

Nie

et al. 2023

Agriculture

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Conducting suitability assessment for sugarcane cultivation is of great significance for optimizing the sugarcane cultivation structure and industrial layout. In this paper, based on the requirements of sugarcane growth and development on climate, terrain, and other environmental conditions, as well as the influence of natural disasters, a total of 11 specific indicators in terms of climate factor, terrain factor, and disaster factor were selected to construct a sugarcane cultivation suitability assessment system based on the analytic hierarchy process (AHP). Then, using Guangxi Province, China, as an example, a suitability assessment for sugarcane cultivation was conducted using multi-source data on climate, terrain, and hazards over the past 30 years. The results showed that among 11 indicators, including annual average temperature, elevation had the largest contribution rate, followed by precipitation during the period of ≥20 °C, slope, and the autumn drought frequency. From the spatial distribution, 37% of the provincial regions were suitable for sugarcane cultivation, mainly distributed in Chongzuo City, Nanning City, Qinzhou City, and Beihai City. In total, 44% of the provincial regions were moderately suitable for sugarcane cultivation, mainly distributed in Hezhou City, Laibin City, and Liuzhou City. Additionally, only 19% of the provincial regions were unsuitable for sugarcane cultivation, mainly distributed in Baise City, Hechi City, and Guilin City, with the terrain factor being the main influencing factor of sugarcane suitability assessment. In order to make reasonable use of land resources and increase sugarcane yield, it is suggested that sugarcane cultivation areas should be adjusted to the central and southern regions such as Chongzuo City, Nanning City, Beihai City, and Qinzhou City, and other industries should be developed in the northern regions which are not suitable for sugarcane cultivation.

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Section: Comprehensive Assessment and Classification Standardsmentioning

confidence: 99%

Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data

Chen

Nie

et al. 2023

Agriculture

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“…They found that the greatest impact was in the precipitation criterion. Meral and Eroğlu, (2021) conducted flood risk analysis using the AHP method. They used a total of 7 criteria in the AHP process: slope, aspect, distance to the stream, land use, geology, soil, and precipitation.…”

Section: The Flood Risk Analysis Using Ahpmentioning

confidence: 99%

AHP ile Taşkın Risk Analizi ve Doğal Taşkın Yönetiminde Ormanların Rolü: Türkiye'nin Kuzeyinden Bir Vaka Çalışması

AKSOY

2023

Kastamonu Üniversitesi Orman Fakültesi Dergisi

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Aim of studty: The aim of this study is to determine the flood risk map of the study area where floods and flood events are frequently encountered by AHP method. Study area: The study was carried out within the boundaries of the Sinop Regional Directorate of Forestry, Ayancık Forest Management Directorate. Material and method: The flood risk map of the study area was produced by Analytical Hierarchy Process (AHP) method. For AHP, 6 different criteria were used: slope, precipitations, aspect, stream distance, land use, and soil. Forest type maps of the study area were used to analyze the impact of forests on flood risk. In terms of forest structure, the stand structure was divided into 3 classes as coniferous, broadleaf, and mixed forest. Main results: The results showed that flood risk varies with forest structure. Coniferous forest class was determined as the class with the lowest flood risk and mixed forest as the class with the highest flood risk. Research highlights: It was determined that the flood risk changed according to the forest structure. Coniferous forest class was determined as the class with the least flood risk, and mixed forest was determined as the class with the highest flood risk.

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“…The results obtained were correlated by considering the soil loss classes of the microcatchment. The Çapakçur microcatchment, the study area, is an area with high erosion risk (Yüksel & Avcı, 2015;Meral & Eroğlu, 2021), and the annual soil loss is above the Turkey average (Demir, 2020;. Therefore, best soil management and soil conservation management practices are carried out to be implemented in many watersheds, such as the Çapakçur microcatchment in Turkey.…”

Section: Introductionmentioning

confidence: 99%

Determination of soil quality index in areas with high erosion risk and usability in watershed rehabilitation applications

Demir

Meral

et al. 2023

Environ Monit Assess

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Erosion is an important environmental issue threatening natural resources and ecosystems, especially soil and water. Soil losses occur in many parts of the world due to erosion at different degrees, and various rehabilitation plans have been carried out to reduce these losses. However, soil protection applications are generally carried out by considering only the essential characteristics of the soil. This may decrease the chance of success of rehabilitation applications. The present study aimed to determine the soil quality index (SQI) by weighting the soil quality parameters according to the Analytical Hierarchy Process (AHP) in the Çapakçur microcatchment (Bingöl, Türkiye) where soil loss is high. Accordingly, 428 soil samples were taken from the study area and analyzed. The soil losses in the Çapakçur watershed were calculated employing the Revised Universal Soil Loss Equation (RUSLE). To determine the soil quality index, a total of 20 indicators were used, including (i) physical soil properties, (ii) chemical soil properties, and (iii) soil nutrient content. Soil quality index results are divided into classes between 1 and 5. As a result of the study, the annual total amount of soil lost from the microcatchment was calculated as 96 915.20 tons, and the yearly average amount of soil lost from the unit area was calculated as 10.14 tons.ha-1. According to SQI, the largest area in the micro-catchment was Class-2 (weak), with 39.49%, whereas the smallest area was 1.4% (the most suitable). However, it was determined that there was a signi cant negative relationship between SQI and soil erodibility. Considering the SQI distribution of the area in the planning of soil protection and erosion prevention practices in watershed rehabilitation studies may increase success.

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Evaluation of flood risk analyses with AHP, Kriging, and weighted sum models: example of Çapakçur, Yeşilköy, and Yamaç microcatchments

Cited by 16 publications

References 29 publications

Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data

Research on the Assessment Method of Sugarcane Cultivation Suitability in Guangxi Province, China, Based on Multi-Source Data

AHP ile Taşkın Risk Analizi ve Doğal Taşkın Yönetiminde Ormanların Rolü: Türkiye'nin Kuzeyinden Bir Vaka Çalışması

Determination of soil quality index in areas with high erosion risk and usability in watershed rehabilitation applications

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