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Bai Y, Wang L, Hu R, Li D. Equal allocation, demand priority or negotiated allocation? How to allocate water resources in the Tigris and Euphrates River Basin efficiently. Heliyon 2024; 10:e31458. [PMID: 38845976 PMCID: PMC11154220 DOI: 10.1016/j.heliyon.2024.e31458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 05/04/2024] [Accepted: 05/16/2024] [Indexed: 06/09/2024] Open
Abstract
The Tigris and Euphrates River Basin is an important water supply, but it suffers from water scarcity. It is necessary to carry out reasonable allocation of water resources in this region. Since water resources issues in this region are of multinational interest, international cooperative distribution efforts are needed. Common water resources allocation modes include equal allocation, demand priority or negotiation allocation. In order to derive the applicable range of various water resources allocation modes, this article constructs three differential game models and compares and analyzes the equilibrium results obtained by the models. Finally, the study shows that when the cost of developing water resources is small and the revenue obtained from developing water resources is large, the water-scarce region can obtain the maximum benefit by adopting the demand priority mode. Otherwise, the water-scarce region can obtain the maximum benefit by adopting the negotiation allocation mode. This study can inform the allocation, strategic interaction and cooperation of dynamic water resources in the two river basins.
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Affiliation(s)
- Yuntao Bai
- Business School, Shandong Management University, Jinan, 250357, China
| | - Lan Wang
- Center of Emergency Management, Chongqing Economic and Social Development Research Institute, Chongqing, 400041, China
| | - Ruidi Hu
- School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan, 250014, China
| | - Delong Li
- School of Business Administration, Inner Mongolia University of Finance and Economics, Hohhot, 010070, China
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Wang X, Zhang S, Gao C, Tang X. Coupling coordination and driving mechanisms of water resources carrying capacity under the dynamic interaction of the water-social-economic-ecological environment system. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 920:171011. [PMID: 38369138 DOI: 10.1016/j.scitotenv.2024.171011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/12/2024] [Accepted: 02/14/2024] [Indexed: 02/20/2024]
Abstract
The water resources carrying capacity (WRCC) is a complex and comprehensive system that is jointly influenced by water resources, society, the economy and the ecological environment. Previous WRCC studies have primarily focused on estimating the overall level of regional WRCC. Few studies have explored the interactions among the various elements in the WRCC system and their influence on the WRCC evolution. Therefore, the purpose of this paper is, on the one hand, to explore the dynamic interactive relationships within the WRCC system from the perspectives of water resources, society, the economy and the ecological environment using a coupling coordination degree model and a panel vector autoregressive (PVAR) model, and on the other hand, to determine the evolutionary driving mechanism of the WRCC using the geographically and temporally weighted regression (GTWR) model to improve the regional WRCC. Taking 21 cities in Guangdong Province as an example, the results show that (1) the coupling coordination degree among the four WRCC subsystems in Guangdong Province shows an overall upward trend from 2009 to 2020, and the coordination between water resources utilization and other subsystems needs to be further strengthened. (2) The economic subsystem is the core of the WRCC system with reinforcing effects on both water resources and social subsystems but significant inhibitory effects on the ecological environment subsystem. Notably, the development of the ecological environment plays a crucial role in promoting social and economic development. (3) From 2009 to 2020, the development of the WRCC in Guangdong Province is initially driven by social and economic development, followed by economic development and ecological environmental protection, and then mainly by ecological environmental protection, which gradually becomes the primary driving force. This study provides a new entry point for studying the regional WRCC and formulating targeted measures for enhancing the regional WRCC.
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Affiliation(s)
- Xiaoyan Wang
- Institute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450015, China; Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University, Zhuhai 519087, China; Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai 519087, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China
| | - Silong Zhang
- Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University, Zhuhai 519087, China; Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai 519087, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China.
| | - Chao Gao
- Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University, Zhuhai 519087, China; Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai 519087, China
| | - Xiongpeng Tang
- Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University, Zhuhai 519087, China; Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai 519087, China
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Ebrahimi Sarindizaj E, Khorsandi M. Letter to the Editor. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169115. [PMID: 38065484 DOI: 10.1016/j.scitotenv.2023.169115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/14/2023] [Accepted: 12/03/2023] [Indexed: 01/18/2024]
Abstract
A paper recently published entitled "Water crisis in Iran: A system dynamics approach on water, energy, food, land, and climate (WEFLC) nexus" (Barati et al., 2023). In the mentioned study, a WEFLC model is developed to analyze the water scarcity in Iran. Water crisis, as a complex and challenging issue, has different interdependencies in the context of socio-ecological systems (SES), making it an incorrigible issue. The original paper attempted to assess the water resource dynamics through a systemic lens and explore the impact of various driving forces of water resource planning and management on the water crisis. Iran is a well-studied country, especially around water-related problems. Many interesting facts and findings through the water scarcity analysis in the context of WEFLC are mentioned in the original paper. For instance, it is highlighted that "Mitigation and adaptation policies must be system-oriented and coherent at sectors." However, the original paper did not benefit enough from the previous studies and the full potential of available data. Moreover, some arguments contradict previous findings and, in some cases, are logically flawed. The original paper barely alludes to the nonlinear functional relationships among the components of WEFLC, the core expected component in complex system analysis. Incorrect problem statement formation, flawed methodology, insufficient information on the applied method, ambiguity in models' coupling or cohesion, lack of rational explanation, and inappropriate interpretations of abnormal findings may even mislead many readers. This paper aims to point out some concerns related to the problems mentioned above in the published study, with suggestions to improve the current study and methodological notes for future research.
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Affiliation(s)
| | - Mostafa Khorsandi
- Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, 490, rue de la Couronne, Québec G1K 9A9, Canada.
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Khorsandi M, Omidi T, van Oel P. Water-related limits to growth for agriculture in Iran. Heliyon 2023; 9:e16132. [PMID: 37234649 PMCID: PMC10208824 DOI: 10.1016/j.heliyon.2023.e16132] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/01/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Globally, agriculture is the primary water consumption sector. This study used water footprint (W F ) as a bottom-up tool and satellite imagery as a top-down tool to estimate the internal water use (W U ) in the agricultural sector in an innovative way to show the effects of water-intensive use in agriculture in an arid country. The W F of Iran has been quantified for 19 main crops and for related agricultural products exported from Iran to partner countries. Using a bottom-up approach, Iran's total yearly agriculture net water consumption is estimated to be 42.43 billion cubic meters (BCM) per year. Out of 42.43 BCM total net internal water use, only 1.61 BCM is virtual-water export related to these 19 products, and the remaining 40.82 BCM is for internal use. Our results using satellite imagery show that in case of using all possible lands for agriculture, it would require 77.4 BCM. However, not all these lands are within human reach, and the maximum available water is way lower than this amount. Using satellite imagery, the total evaporation from agricultural lands shows 55.27 BCM for 2020, which agrees with national reports during 2005-2014. This study shows that agricultural water consumption tends to use internal water resources at a maximum level for export and national use, significantly impacting renewable and non-renewable water resource availability, especially in groundwater.
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Affiliation(s)
- Mostafa Khorsandi
- Centre Eau Terre Environnement, Institut National de La Recherche Scientifique, 490 rue de la Couronne, Québec, G1K 9A9, Canada
- Canadian Rivers Institute, UNB Fredericton, 28 Dineen Dr Fredericton, New Brunswick, E3B 5A3, Canada
- Water Resources Management Group, Wageningen University, Wageningen, PO Box 47 6700AA, Netherlands
| | - Tayebeh Omidi
- Water Resources Engineering Group, Tarbiat Modares University, Tehran, Iran
| | - Pieter van Oel
- Water Resources Management Group, Wageningen University, Wageningen, PO Box 47 6700AA, Netherlands
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Khorsandi M, Bateni MM, Van Oel P. A mathematical meta-model for assessing the self-sufficient water resources carrying capacity across different spatial scales in Iran. Heliyon 2023; 9:e15079. [PMID: 37095922 PMCID: PMC10121409 DOI: 10.1016/j.heliyon.2023.e15079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 03/19/2023] [Accepted: 03/27/2023] [Indexed: 04/08/2023] Open
Abstract
Hydrological modeling, water accounting assessments, and land evaluations are well-known techniques to carry out water resources carrying capacity (WRCC) assessments at multiple spatial levels. Using the results of an existing process-based model for assessing WRCC from very fine to national spatial scales, we propose a mathematical meta-model, i.e., a set of easily applicable simplified equations to assess WRCC as a function of high-quality agricultural lands for optimistic to realistic scenarios. These equations are based on multi-scale spatial results. Scales include national scale (L0), watersheds (L1), sub-watersheds (L2), and water management hydrological units (L3). Applying the meta-model for different scales could support spatial planning and water management. This method can quantify the effects of individual and collective behavior on self-sufficient WRCC and the level of dependency on external food resources in each area. Carrying capacity can be seen as the inverse of the ecological footprint. Hence, using publicly available data on the ecological footprint in Iran, the results of the proposed method are validated and give an estimation of lower and upper bounds for all biocapacity of the lands. Moreover, the results confirm the law of diminishing returns in the economy for the carrying capacity assessment across spatial scales. The proposed meta-model could be considered a complex manifest of land, water, plants, and human interaction for food production, and it could be used as a powerful tool in spatial planning studies.
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Affiliation(s)
- Mostafa Khorsandi
- Centre Eau Terre Environnement, Institut National de La Recherche Scientifique, 490 Rue de La Couronne Street, Québec, G1K 9A9, Canada
- Canadian Rivers Institute, UNB Fredericton, 28 Dineen Dr Fredericton, New Brunswick, E3B 5A3, Canada
- Water Resources Management Group, Wageningen University, Wageningen, PO Box 47 6700AA, Netherlands
| | - Mohammad Mehdi Bateni
- Scuola Universitaria Superiore IUSS Pavia, Palazzo Del Broletto, Piazza Vittoria 15, 27100, Pavia, Italy
| | - Pieter Van Oel
- Water Resources Management Group, Wageningen University, Wageningen, PO Box 47 6700AA, Netherlands
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Zheng F, Xiao C, You Z, Feng Z. Evaluating the Resources and Environmental Carrying Capacity in Laos Using a Three-Dimensional Tetrahedron Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13816. [PMID: 36360696 PMCID: PMC9654552 DOI: 10.3390/ijerph192113816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
(1) Background: The quantitative evaluation and comprehensive measurement of resources and environmental carrying capacity (RECC) are key links in the study of RECC from classification to synthesis. Laos, as the only landlocked country of Mainland Southeast Asia (MSEA), is an important economic corridor (i.e., China-MSEA Economic Corridor) of the Belt and Road Initiative (BRI). (2) Methods: Based on the human settlements index (HSI), resource carrying index (RCI), and socio-economic development index (SDI), here, a three-dimensional tetrahedron model for the comprehensive assessment of RECC with equilibrium significance was constructed, including HSI-based suitability classification, RCI-based restrictive classification, and SDI-based adaptability classification. Taking provinces as the basic unit, we quantitatively assessed and comprehensively evaluated RECC in Laos using a three-dimensional tetrahedron model. (3) Results: The human settlement environment in Laos is mainly characterized by the moderate suitable category (85%), while the high suitability area (merely 5%) supports more than 30% of the total population. Laos had over 90% of its area in good condition in resources and environmental carrying status (surplus or balanced state), translating into more than 95% of the population. The social and economic development level is mainly characterized by low-level development (43%), with nearly 30% of the population living in these low-level areas. The comprehensive bearing state of resources and environment is characterized by surplus, and 85% of the population is distributed in the surplus area, which occupies 63% of the land. (4) Conclusions: It is possible to better explore the adaptation strategies and countermeasures for enhancing RECC in Laos and provide a scientific reference for regional sustainable development. We believe that the three-dimensional tetrahedron method can be applied to quantitatively evaluate and comprehensively measure RECC at larger scale, e.g., the BRI regions.
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Affiliation(s)
- Fangyu Zheng
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chiwei Xiao
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 101149, China
| | - Zhen You
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 101149, China
| | - Zhiming Feng
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 101149, China
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Analysis and Evaluation of Variation Characteristics in Groundwater Resources Carrying Capacity in Beijing between 2010 and 2020. SUSTAINABILITY 2022. [DOI: 10.3390/su14159200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The problems of water shortages and groundwater overexploitation are serious in Beijing. Resources are over-exploited to meet the industrial needs of various sectors, and the capacity of groundwater resources to support economic development is also reduced. Therefore, it is of great significance to study the evaluation of regional groundwater resources carrying capacity from the perspective of time and space. This study evaluates the groundwater resource carrying capacity of Beijing from time and space by using the function between water use efficiency and groundwater availability constructed by regional water supply, consumption data and GDP data. The results show that: The proportion of groundwater in water supply in Beijing has decreased and it was still one of the main sources of water supply from 2010 to 2020. From the perspective of time, when the degree of groundwater exploitation (De) was greater than 1, the contribution rate of exploitation degree of economic development (Dg) reached 60% from 2010 to 2015, indicating that the economic development of Beijing is highly dependent on groundwater resources. From 2015 to 2020, the De was less than 1, but the Dg value kept increasing and approaching 90% and the total overload rate was 81.8%. The supporting capacity of groundwater resources will become more fragile. At the spatial scale, only the Dongcheng and the Xicheng regions were overloaded whose rates were 58.48% and 69.92%. The research shows that the degree of groundwater exploitation has approached the saturation state, the economic development is highly dependent on groundwater resources and there is a large space for water saving. Improving the utilization efficiency of water resources cannot improve the carrying capacity of groundwater resources, so it is still necessary to increase the amount of groundwater resources by recharging the groundwater through a series of comprehensive over-exploitation control measures, which is of great significance to the management and sustainable development of regional groundwater.
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Liu X, Xiong R, Guo P, Nie L, Shi Q, Li W, Cui J. Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input-Output Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:7345. [PMID: 35742592 PMCID: PMC9224248 DOI: 10.3390/ijerph19127345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/13/2022] [Accepted: 06/13/2022] [Indexed: 11/16/2022]
Abstract
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.
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Affiliation(s)
- Xiuli Liu
- Research Institute of Resource-Based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China; (X.L.); (R.X.); (L.N.); (Q.S.); (W.L.); (J.C.)
| | - Rui Xiong
- Research Institute of Resource-Based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China; (X.L.); (R.X.); (L.N.); (Q.S.); (W.L.); (J.C.)
| | - Pibin Guo
- Department of Management, Taiyuan University, Taiyuan 030032, China
| | - Lei Nie
- Research Institute of Resource-Based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China; (X.L.); (R.X.); (L.N.); (Q.S.); (W.L.); (J.C.)
| | - Qinqin Shi
- Research Institute of Resource-Based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China; (X.L.); (R.X.); (L.N.); (Q.S.); (W.L.); (J.C.)
| | - Wentao Li
- Research Institute of Resource-Based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China; (X.L.); (R.X.); (L.N.); (Q.S.); (W.L.); (J.C.)
| | - Jing Cui
- Research Institute of Resource-Based Economics, Shanxi University of Finance & Economics, Taiyuan 030006, China; (X.L.); (R.X.); (L.N.); (Q.S.); (W.L.); (J.C.)
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