A two-stage factorial-analysis-based input-output model for virtual-water quantification and metabolic-network identification in Kyrgyzstan

Zhang, H.; Li, Y.P.; Sun, Jie; Liu, J.; Huang, Guohe; Ding, Y.K.; Wu, X.J.

doi:10.1016/j.jclepro.2021.126960

Cited by 14 publications

(2 citation statements)

References 37 publications

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“…Visible water is very simple, that is, water resources that people can touch and see, and virtual water refers to the amount of water resources needed in the production of products and services, that is, the virtual water condensed in products and services (Chen et al 2021). In other words, virtual water is an effective measure of water demand from the perspective of water consumption, that is, the number of water consumed in the process of production or service (Zhang et al 2021).…”

Section: Water Resources Securitymentioning

confidence: 99%

Regional water resources security grading evaluation considering both visible and virtual water: a case study on Hubei province, China

et al. 2021

Environ Sci Pollut Res

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The security of water resources is of great importance to long-term sustainability. In order to better ensure the security of water resources, a significant link is to conduct water resources security evaluation, which should be considered from many perspectives as it involves natural reserves, social production, the efficiency of use, and environmental protection. In this paper, a fuzzy Analytic Hierarchy Process Sort (AHPSort) II-entropy weight (EW) method for regional water resources security evaluation is proposed based on the security of visible water and virtual water. Firstly, this paper takes into account the criterion of efficiency of water use in addition to two other criteria of quantity of water resources, pressure on water resources to establish a comprehensive water resources security evaluation system. Secondly, a combination method of hesitant fuzzy language judgment and entropy weight is employed to obtain the weight of each indicator. Thirdly, AHPSort II is used to classify the security levels of the evaluated regions, in which the security levels of regional water resources are divided into five levels. Furthermore, a case study on the cities of Hubei Province, China is conducted to show the applicability of the proposed method, the effectiveness, and reliability of the method are then verified by being compared with a subjective method and an objective method as well as sensitivity analysis. Finally, according to the comprehensive evaluation results, specific management suggestions for improving the water resources security in the case are put forward.

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Section: Water Resources Securitymentioning

confidence: 99%

Regional water resources security grading evaluation considering both visible and virtual water: a case study on Hubei province, China

et al. 2021

Environ Sci Pollut Res

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show abstract

“…For example, Zheng et al used IOM to study Chongqing's water resources management policy from producer and consumer [6]. Zhang et al used a method that combined IOM and factorial analysis to identify crucial sectors in Kyrgyzstan, which also can measure the influence of virtual water metabolism network [7]. In addition, Liu et al also explored an extended IOM method to study the life-cycle environmental impacts of different sectors in Saskatchewan, Canada [9].…”

Section: Introductionmentioning

confidence: 99%

Energy-Water Nexus Analysis Based on Input-Output Model: A Case Study of Fujian Province, China

Chen

Liu

Chen

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Energy and water are inextricably linked to each other. In this study, an input-output model (IOM) is advanced to analyze the consumption relationship between various energy-related water and water-related energy. IOM can not only confirm the mixture energy consumption and mixture water consumption, but also reflect the mixture energy and mixture water flow between sectors. Our major findings are: (i) Man (manufacture) is the main sector in terms of direct energy and water consumption; (ii) Agr (Agriculture) is the dominant direct water dedicator and Psp (Production and supply of electric, heating and gas) is the highest energy-related water consumption sector; (iii) energy consumption in water extraction processes is greatest (reaching up to 88.97%); (iv) water consumption of hydroelectric, thermal, nuclear and other forms of power generation is the heaviest consumption (reaching up to 96.52%); (v) Man (manufacture) is the main energy outflow and inflow sector (outflow: 2.01×1011 kwh, inflow: 2.56×1011 kwh); (vi) Agr is the largest provider of mixture water (outflow: 7.55×109 m3), Man (manufacture) is the largest receiver of mixture water sector (inflow: 9.88×109 m3).

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A BPNN-based ecologically extended input–output model for virtual water metabolism network management of Kazakhstan

Liu

et al. 2023

Environ Sci Pollut Res

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A two-stage factorial-analysis-based input-output model for virtual-water quantification and metabolic-network identification in Kyrgyzstan

Cited by 14 publications

References 37 publications

Regional water resources security grading evaluation considering both visible and virtual water: a case study on Hubei province, China

Regional water resources security grading evaluation considering both visible and virtual water: a case study on Hubei province, China

Energy-Water Nexus Analysis Based on Input-Output Model: A Case Study of Fujian Province, China

A BPNN-based ecologically extended input–output model for virtual water metabolism network management of Kazakhstan

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