Connotation analysis and evaluation index system construction of regional agricultural soil and water resource composite system harmony

Li, Xuesong; Dong, Lingbo; Fu, Qiang; Li, Mo; Faiz, Muhammad Abrar; Ali, Shoaib; Li, Tianxiao; Khan, Muhammad Imran

doi:10.1016/j.jclepro.2020.121438

Cited by 17 publications

(3 citation statements)

References 21 publications

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“…The evaluation of agricultural development in Henan Province was analyzed by an example, and the validity of the improved model was proved. Li et al (2020b), aiming at the problem of insufficient criteria for judging the sustainable development of the regional agricultural system, used the coefficient of variation R clustering grey incidence superiority model (VC-RC-GCA) and expert knowledge to construct an evaluation index system for the present situation of agricultural reclamation resources utilization in Heilongjiang Province. The rationality and reliability of the index system based on VC-RC-GCA model were verified by comparing the screening results of RC-GCA model with the characteristics of the index system of human-water harmony.…”

Section: Application Of Grey Decision Model In Agricultural Science R...mentioning

confidence: 99%

Application progress of grey model technology in agricultural science

Zhang

et al. 2022

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PurposeGrey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.Design/methodology/approachBased on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.FindingsThe results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.Originality/valueBy analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

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Section: Application Of Grey Decision Model In Agricultural Science R...mentioning

confidence: 99%

Application progress of grey model technology in agricultural science

Zhang

et al. 2022

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“…(1) Collect possible indicators. e literature provides the basis for the selection of indicators [36,[48][49][50][51]. e annual evaluation system of the national marine ranching demonstration areas helps in index selection.…”

Section: Evaluation Index Systemmentioning

confidence: 99%

Ecological Security Evaluation of Marine Ranching Based on DEMATEL-Fuzzy Comprehensive Evaluation

Fang

Ping

2021

Mathematical Problems in Engineering

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Marine ranching plays an integral role in providing fishery resources. Given the critical importance of protecting the marine ecological system, the ecological security evaluation of marine ranching is significant. However, the existing research rarely involves marine ranching ecological security (MRES) evaluation and does not provide a complete evaluation index system. The purpose of the present study was to estimate MRES through several steps and evaluate it scientifically by fully considering the relationship between the factors. First, the evaluation index system was structured using the Driver-Pressure-State-Impact-Response (DPSIR) framework by following certain principles. Second, the study applied the Decision Making Trial and Evaluation Laboratory (DEMATEL) method and fuzzy comprehensive evaluation (FCE) method to assess MRES. Third, a case study of a marine ranching in the Shandong Province was discussed to demonstrate the applicability of the proposed method. This also illustrated the steps of the evaluation. In this case study, the result of the MRES evaluation was graded as excellent. The results demonstrate that using these methods to evaluate MRES can account for the complex relationships between the factors and the cognitive ability of the experts and thus integrate the experts’ information comprehensively, which adds to the credibility of the evaluation results.

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“…Ahamd et al [41] developed a harmonious level index (HLI) for evaluating the degree of human-water harmony in several cities in different countries. The theory of human-water harmony attempts to establish a harmonious relationship between human systems and water systems, providing a new perspective that differs from the optimization and rational allocation perspectives [42][43][44]. However, although the theory of human-water harmony has been widely applied in the assessment of the human-water relationship, research on water resource allocation based on human-water harmony has not been undertaken deeply.…”

Section: Introductionmentioning

confidence: 99%

A Regional Water Resource Allocation Model Based on the Human–Water Harmony Theory in the Yellow River Basin

Zhang

De-shan

Wang

et al. 2023

Water

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Considering the issues of water scarcity, water environment deterioration, and unreasonable allocation of water resources in the urban area of the Yellow River Basin, this paper introduces the human–water harmony theory to the allocation of regional water resources. Based on an analysis of the structural characteristics of the regional water resource system, the harmonious water resource allocation (HWRA) model—which includes three sub-systems (i.e., the water service system, ecological environmental system, and economic and social system)—is established. In addition, considering the uncertain factors in the HWRA model, the inexact fuzzy multi-objective programming (IFMOP) method is used to solve the model, aiming at achieving the minimum amount of regional water scarcity, the minimum amount of sewage discharge, and the maximum total economic benefit. A case study of water resource allocation of Binzhou, a city located in the Yellow River Basin, is conducted to validate the model. The model solution results show that the water resource system in Binzhou in 2025 and 2035 could be optimized after harmonious allocation, especially in terms of the water service and ecological environmental systems. Compared with the optimal water resource allocation (OWRA) model, the HWRA model has a more scientific water supply structure, and a smaller amount of sewage discharge. The HWRA model solves the variables using an interval number, so it can flexibly and scientifically reflect the decision-making process.

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Connotation analysis and evaluation index system construction of regional agricultural soil and water resource composite system harmony

Cited by 17 publications

References 21 publications

Application progress of grey model technology in agricultural science

Application progress of grey model technology in agricultural science

Ecological Security Evaluation of Marine Ranching Based on DEMATEL-Fuzzy Comprehensive Evaluation

A Regional Water Resource Allocation Model Based on the Human–Water Harmony Theory in the Yellow River Basin

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