Benefit evaluation of East Route Project of South to North Water Transfer based on trapezoid cloud model

Yang, Zhe; Huang, Xianfeng; Fang, Guohua; Ye, Jian; Lu, Chengxuan

doi:10.1016/j.agwat.2021.106960

Cited by 34 publications

(16 citation statements)

References 16 publications

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“…(1) Subjective weight The G1 method, otherwise known as order relation analysis, is an improved analytic hierarchy process [77]. No consistency requirements of the judgment matrix [78,79]. The method can be taken as the following steps:…”

Section: Improved Topsis Methodsmentioning

confidence: 99%

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

Yong

Guga

et al. 2022

Agriculture

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The negative impact of high-temperature disaster on agricultural production is becoming more and more serious, and reducing the vulnerability to high-temperature disaster is fundamental to achieving sustainable agricultural development. This study is mainly focused on the vulnerability to agricultural high-temperature disaster in Shaanxi Province, China. Firstly, 15 indicators were selected from the perspectives of exposure, sensitivity, and adaptability. Secondly, the combined weighting method (Critic-G1 model) was used to determine the weight of each index. Based on the aforementioned procedures, the Kullback–Leibler (KL)-distance-improved TOPSIS model was utilized to evaluate the vulnerability. Lastly, the obstacle model was used to analyze the influencing factors and to make recommendations for disaster prevention and mitigation. The results show that: (1) The improved TOPSIS model was closer to the results of the synthetical index method. (2) The northern and southern area of Shaanxi is more vulnerable to high-temperature disaster, especially in Ankang and Tongchuan. Low values are distributed in the Guanzhong Plain. (3) Sensitivity is the biggest obstacle to reducing the vulnerability to high-temperature disaster. Among the influencing factors, the meteorological yield reduction coefficient of variation, multiple cropping index and per capita net income of rural residents of the obstacle are high. Decreasing sensitivity should be accompanied by increasing adaptability to improve regional disaster preparedness and mitigation. The results of this study can provide a basis for the development of agricultural high-temperature disaster mitigation and loss reduction strategies and provide new ideas for future research.

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Section: Improved Topsis Methodsmentioning

confidence: 99%

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

Yong

Guga

et al. 2022

Agriculture

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“…The East Route Project is one of the three main water transfer route projects in the SNWTP, which transfers water from the Yangtze River to North China all year round, including the eastern part of the Huai Plain, Beijing, Tianjin, and Hebei Province. [ 18 ] The water diversion line investigated in this study is one of the dominant lines in the source area of the East Route of the SNWTP. When there was a water shortage in North China, water was raised from Sanjiangying in the Yangtze River basin to the Jiangdu Pumping Station through the Jiajiang River and Mangdao River.…”

Section: Methodsmentioning

confidence: 99%

Longitudinal Patterns of Microbial Communities in the Water Diversion Rivers of South‐to‐North Water Diversion Project

Cai

Huang

et al. 2022

CLEAN Soil Air Water

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Water diversion rivers are the fundamental transport lines in water diversion projects. The changeable hydrological and physicochemical conditions lead to significant changes in biogeographical characteristics of microbial communities within river catchments. This study gives an insight into longitudinal patterns of the composition and diversity characteristics of microbial communities in water diversion rivers in the East Route of the South‐to‐North Water Diversion Project using 16S rRNA sequencing. A total of 937 743 microbial sequence reads are obtained and classified into 9178 distinct operational taxonomic units, belonging to 48 phyla and 424 genera, respectively. Along the water diversion line, obvious distribution characteristics of microbial communities could be observed in Actinobacteria, Firmicutes, Exiguobacterium, CL500‐29_marine_group, Acinetobacter, and Cloacibacterium. The relative abundance of both Actinobacteria and CL500‐29_marine_group increases from the upper rivers in the northern region to the lower rivers in the southern region, while Firmicutes and Exiguobacterium show the opposite trend. Higher microbial diversity is found in the upper rivers of the water diversion line than in the lower rivers. Externally, redundant analysis indicated the spatial shift in microbial community is largely shaped by ammonium, total nitrogen, conductivity, and total phosphorus. Internally, longitudinal construction of the microbial community is mainly affected by species replacement.

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“…The CM is a model for the conversion of qualitative concepts and quantitative values proposed on the basis of fuzzy set theory and probability, and it can reveal the inherent relevance of the randomness and ambiguity of certain factors or concepts themselves [27]. It was first proposed in 1995 by Li Deyi, an academician of the Chinese Academy of Engineering, and has been applied in many fields, such as risk assessment [28] and engi-neering benefit evaluation [29]. A CM can take the form of a rectangular cloud, trapezoidal cloud, normal cloud, etc.…”

Section: Evaluation Methods Cloud Model (Cm)mentioning

confidence: 99%

Evaluation of Serviceability of Canal Lining Based on AHP–Simple Correlation Function Method–Cloud Model: A Case Study in Henan Province, China

Zhou

Ma³

et al. 2021

Sustainability

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In the process of sustainable development within modern agriculture, in order to ensure that agricultural production has adequate water resources, canal lining (CL) is often used to transport water in order to reduce water seepage, thus promoting the sustainable utilization of water resources. However, due to the influence of the terrain, environment, human factors and other factors, the CL often suffers a certain degree of damage. Therefore, it is necessary to evaluate the serviceability of the CL, so to realize the sustainable use of the CL strategy. Aiming at the weight assignment of CL evaluation indices that are subjective and not combined with actual index data, a weight calculation method based on the Analytic Hierarchy Process (AHP)–simple correlation function (SCF) method was proposed, and game theory was used to achieve combination weighting. For the evaluation indices with the characteristics of fuzziness and randomness, the cloud model (CM) was used to comprehensively consider these characteristics in order to realize the evaluation. Finally, a method to measure serviceability of CL based on AHP–SCF–CM was proposed. Taking a CL project in China as an example, this method was used to evaluate the serviceability of the CL. The evaluation result showed that the serviceability of the CL was poor, and the qualitative evaluation result was consistent with the actual damage condition of the project; meanwhile, a comparative study was performed in combination with the AHP–Entropy Weight (EW)–unascertained measurement theory (UMT). The quantitative evaluation results of the two methods displayed the same grade of serviceability, which verifies that the method proposed in this paper is more reasonable, objective and feasible from both qualitative and quantitative perspectives. Furthermore, the evaluation results lay the foundation for subsequent maintenance and fault prevention of the canal.

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Benefit evaluation of East Route Project of South to North Water Transfer based on trapezoid cloud model

Cited by 34 publications

References 16 publications

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China

Longitudinal Patterns of Microbial Communities in the Water Diversion Rivers of South‐to‐North Water Diversion Project

Evaluation of Serviceability of Canal Lining Based on AHP–Simple Correlation Function Method–Cloud Model: A Case Study in Henan Province, China

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