Multi-hierarchy virtual-water management– A case study of Hubei Province, China

Fu, Yupeng; Huang, Guohe; Liu, Lirong; Li, Jianyong; Zhang, Xiaoyue; Zhai, Mengyu; Pan, Xunzhang

doi:10.1016/j.jclepro.2021.126244

Cited by 11 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In regard to the continuous input and output table of Liaoning Province from 2012 to 2018, Zhang et al [ 54 ] illustrated that the outflow sector of virtual water in Liaoning Province was mainly concentrated on primary and tertiary employment. Yang et al [ 55 ] and Fu et al [ 56 ] utilized this model to investigate the virtual water trade between the Tarim River Basin and Hubei Province in China, finding that the volume used of virtual water in the primary industry is much higher [ 32 ]. Zhang et al [ 57 ] calculated both the direct and total water input coefficients in Inner Mongolia in 2007, 2012, and 2015.…”

Section: Introductionmentioning

confidence: 99%

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

Liu

Xiong

Guo³

et al. 2022

IJERPH

View full text Add to dashboard Cite

Research on the Yellow River Basin’s virtual water is not only beneficial for rational water resource regulation and allocation, but it is also a crucial means of relieving the pressures of a shortage of water resources. The water stress index and pull coefficient have been introduced to calculate the implied virtual water from intraregional and interregional trade in the Yellow River Basin on the basis of a multi-regional input–output model; a systematic study of virtual water flow has been conducted. The analysis illustrated that: (1) Agriculture is the leading sector in terms of virtual water input and output among all provinces in the Yellow River Basin, which explains the high usage. Therefore, it is important to note that the agricultural sector needs to improve its water efficiency. In addition to agriculture, virtual water is mainly exported through supply companies in the upper reaches; the middle reaches mainly output services and the transportation industry, and the lower reaches mainly output to the manufacturing industry. Significant differences exist in the pull coefficients of the same sectors in different provinces (regions). The average pull coefficients of the manufacturing, mining, and construction industries are large, so it is necessary to formulate stricter water use policies. (2) The whole basin is in a state of virtual net water input, that is, throughout the region. The Henan, Shandong, Shanxi, Shaanxi, and Qinghai Provinces, which are relatively short of water, import virtual water to relieve local water pressures. However, in the Gansu Province and the Ningxia Autonomous Region, where water resources are not abundant, continuous virtual water output will exacerbate the local resource shortage. (3) The Yellow River Basin’s virtual water resources have obvious geographical distribution characteristics. The cross-provincial trade volume in the downstream area is high; the virtual water trade volume in the upstream area is low, as it is in the midstream and downstream areas; the trade relationship is insufficient. The Henan and Shandong Provinces are located in the dominant flow direction of Yellow River Basin’s virtual water, while Gansu and Inner Mongolia are at the major water sources. Trade exchanges between the midstream and downstream and the upstream should be strengthened. Therefore, the utilization of water resources should be planned nationwide to reduce water pressures, and policymakers should improve the performance of agricultural water use within the Yellow River Basin and change the main trade industries according to the resource advantages and water resources situation of each of them.

show abstract

Section: Introductionmentioning

confidence: 99%

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

Liu

Xiong

Guo³

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Water and energy resources are the most significant factors in the industrial system, and the related problems with diminishing water resources, a higher consumption and pollution, and a lower production and inefficiency are being challenges for balancing water resources allocation among sectors in industrial system management. Some measures (e.g., multi-period water network management, sustainable industrial water projection, and a multi-hierarchy industrial virtual water network) have been proposed for improving industrial water resources management, perfecting water resources value, and reducing cumulative environmental risk (Liu et al 2017;Shrestha & Wang 2020;Xie et al 2020;Yu et al 2020;Fu et al 2021;Haque et al 2021;Tian et al 2021). However, the complexities and the uncertainties in industrial water resources system, such as the complexities of energy-water nexus and the spatial and temporal variations of system parameters, exacerbate the difficulties in regional industrial water resources management (Qin et al 2015;Lu & Chen 2016;Guo et al 2020;Shao et al 2020;Lee et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem

Xie

et al. 2021

Journal of Water and Climate Change

View full text Add to dashboard Cite

In this study, a new concept concerning comprehensive characteristics of water resources utilization as an index for risk modeling within the water allocation management model is proposed to explore the tolerance of unbalanced allocation problem under water–energy nexus. The model is integrated with interval two-stage stochastic programming for reflecting system uncertainties. These uncertainties are associated with the industrial production feature and the decision-making process. With respect to water–energy nexus, energy proposed is mainly focused on the consumption intensity of water purification and transportation from different water sources. The developed model is applied for industrial water resources allocation management in Henan province, China. Multiple scenarios related to disparate energy consumption control and the comprehensive risk levels are simulated to obtain a reasonable trade-off among system profit, comprehensive risk, and energy consumption. The results indicated that the strict comprehensive risk management or energy consumption control measures could cause damage to system benefit owing to decreasing the flexibility of industrial water resources distributions, and the preliminary energy consumption or the comprehensive risk control would be beneficial to moderate the conflict between industrial sectors and water resources, and accelerate industrial structure transformation in the future.

show abstract

“…In particular, countries are paying more and more attention to the security of virtual water, which is to materialize water resources in people's consumption and services (Xu et al 2020). This paper pays special attention to the efficiency of water use in water resources security, especially in areas with abundant water resource, to cope with the contradiction between rapid economic growth and the challenge of water use (Fu et al 2021).…”

mentioning

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

View full text Add to dashboard Cite

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.

show abstract

Multi-hierarchy virtual-water management– A case study of Hubei Province, China

Cited by 11 publications

References 23 publications

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem

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

Contact Info

Product

Resources

About