scholarly journals Modeling the integrated framework of complex water resources system considering economic development, ecological protection, and food production: A practical tool for water management

2020 ◽  
Author(s):  
Yaogeng Tan ◽  
Zengchuan Dong ◽  
Sandra M. Guzman ◽  
Xinkui Wang ◽  
Wei Yan

Abstract. The rapid increase of population and urbanization is accelerating the consumption of the water resources that play an essential role in economic development, ecological protection, and food productivity (EEF). This study developed an integrated modeling framework to better identify the dynamic interaction, coevolution process, and feedback loops of the nexus across EEF systems by incorporating the multi-objective optimization and system dynamic (SD) models. The multi-objective model optimizes the water allocation decisions considering the adaptive status of both the whole system and each agent, while the SD model discloses the dynamics of the coevolution process and reciprocal feedback of the EEF system. The framework is applied to the Upper Reaches of Guijiang River Basin, China, in the context of interconnected systems considering the agents of economic development, ecological protection, and food productivity. Results show that the proposed framework enables the optimal water allocation decisions in each time step, and the SD model can adequately reveal the coevolution process and reciprocal feedback that differs in different stages in integrated, dynamic ways. The rapid economic growth intensifies the ecological awareness that cannot support such rapid development because of the conflict between environment and economic water uses. Once the economic growth rate decreased, water resources are able to support economic development because the ecological awareness is alleviated in this respect. The different water usages demonstrate the competitive mechanism, and the river ecological agent is the critical factor that affects the robustness of the model. The equal consideration of each water usage is the most beneficial to sustainable development. These results highlight the importance of water resources management considering multiple stakeholders and tradeoffs and give an insight into future dynamic changes of complex water systems.

2021 ◽  
Author(s):  
Yaogeng Tan ◽  
Zengchuan Dong ◽  
Xinkui Wang ◽  
Wei Yan

Abstract. The accelerated consumption of water resources caused by the rapid increase of population and urbanization is intensifying the negative interactions of water uses across socioeconomic development, ecological protection, and food productivity (SEF), which causes an imbalance between water supply & demand, ecological and food vulnerability, and further water unsustainability. To solve this problem, this study developed an integrated modeling framework to better identify the dynamic interaction and coevolution process of the nexus across SEF systems in the context of sustainable water uses by coupling two models: system dynamic model (SD) and multi-objective optimization model. First, the SD model is used to simulate both the dynamic interaction of each agent and the coevolution process of the whole system under external changes. Next, the multi-objective optimal model is used to generate the optimal scheme by iteration process with the initial scheme of SD, further identifying the dynamic interaction and coevolution process in terms of sustainable water use. Finally, the model uncertainty considering different weighting factors is analyzed. The framework is applied to the Upper Reaches of Guijiang River Basin, China. Results show that: (i) the rapid economic growth intensifies the ecological awareness and cannot support such rapid development because it rises the conflict between environment and economic water uses, resulting in more water shortages of socio-economy and food agent. (ii) Once the economic growth rate decreased, water resources are able to support economic development with decreased overload index and stable crop yield, which further contributes to water sustainability. (iii) The river ecological agent is the critical factor that affects the robustness of the model. (iv) The equal consideration of each water usage is the most beneficial to sustainable development. These results highlight the importance of water resources management considering the tradeoffs across multiple stakeholders and give a strong reference to policymakers for comprehensive urban planning.


2021 ◽  
Vol 25 (12) ◽  
pp. 6495-6522
Author(s):  
Yaogeng Tan ◽  
Zengchuan Dong ◽  
Sandra M. Guzman ◽  
Xinkui Wang ◽  
Wei Yan

Abstract. The accelerated consumption of water resources caused by the rapid increase in population and urbanization is intensifying the complex interactions across water resources, socioeconomic development, ecological protection, and food security (WSEF), which causes not only the imbalance between water supply and demand but also the vulnerability of both food and ecological systems. Therefore, identifying the dynamic coevolution and feedback process is one of the most crucial ways of achieving the goal of sustainable water use. In this study, we developed an integrated modeling framework to better identify the dynamic interaction and coevolution process of the nexus across WSEF systems in the context of sustainable water uses by coupling system dynamic (SD) model and multi-objective optimization model. The SD model is used to simulate both the dynamic interaction of each agent and the coevolution process of the whole nexus system by positive/negative feedback loops. The multi-objective optimization model is used to quantify the negative feedback loops of the SD model by generating the optimal scheme of different water users. Finally, the model uncertainty considering different weighting factors is analyzed. The framework is applied to the upper reaches of the Guijiang River basin, China. Results show that (i) the rapid economic growth increases the conflict between the water uses for socioeconomic development and ecological protection, intensifying the ecological awareness and resulting in more water shortages of socioeconomic and food agents, which is unable to support such rapid development. (ii) Once the economic growth rate decreases, water resources are able to support economic development with a decreased overload index and stable crop yield, which further contributes to water sustainability. (iii) The river ecological agent is the critical factor that affects the robustness of the model. (iv) The equal consideration of each water usage is the most beneficial to sustainable development. These results highlight the importance of water resources management, considering the tradeoffs across multiple stakeholders, and give a strong reference to policymakers for comprehensive urban planning.


2015 ◽  
Author(s):  
◽  
Oluwatosin Onaopemipo Olofintoye ◽  
◽  
Josiah Adeyemo ◽  
Fredrick Alfred O. Otieno ◽  
...  

The planning and management of water resources systems often involve formulation and establishment of optimal operating policies and the study of trade-off between different objectives. Due to the intricate nature of water resources management tasks, several models with varying degrees of complexities have been developed and applied for resolving water resources optimisation and allocation problems. Nevertheless, there still exist uncertainties about finding a generally consistent and trustworthy method that can find solutions which are very close to the global optimum in all scenarios. This study presents the development and application of a new evolutionary multi-objective optimisation algorithm, combined Pareto multi-objective differential evolution (CPMDE). The algorithm combines methods of Pareto ranking and Pareto dominance selections to implement a novel generational selection scheme. The new scheme provides a systematic approach for controlling elitism of the population which results in the simultaneous creation of short solution vectors that are suitable for local search and long vectors suitable for global search. By incorporating combined Pareto procedures, CPMDE is able to adaptively balance exploitation of non-dominated solutions found with exploration of the search space. Thus, it is able to escape all local optima and converge to the global Pareto-optimal front. The performance of CPMDE was compared with 14 state-of-the-art evolutionary multi-objective optimisation algorithms. A total of ten test problems and three real world problems were considered in the benchmark of the algorithm. Findings suggest that the new algorithm presents an improvement in convergence to global Pareto-optimal fronts especially on deceptive multi-modal functions where CPMDE clearly outperformed all other algorithms in convergence and diversity. The convergence metric on this problem was several orders of magnitude better than those of the other algorithms. Competitive results obtained from the benchmark of CPMDE suggest that it is a good alternative for solving real multi-objective optimisation problems. Also, values of a variance statistics further indicate that CPMDE is reliable and stable in finding solutions and converging to Pareto-optimal fronts in multi-objective optimisation problems. CPMDE was applied to resolve water allocation problems in the Orange River catchment in South Africa. Results obtained from the applications of CPMDE suggest it represents an improvement over some existing methods. CPMDE was applied to resolve water allocation problems in the agricultural and power sectors in South Africa. These sectors are strategic in forging economic growth, sustaining technological developments and contributing further to the overall development of the nation. They are also germane in capacitating the South African government’s commitment towards equity and poverty eradication and ensuring food security. Harnessing more hydropower from existing water sources within the frontier of the country is germane in capacitating the South African Government’s commitment to reduction of the countries’ greenhouse gas emissions and transition to a low-carbon economy while meeting a national target of 3 725 megawatts by 2030. Application of CPMDE algorithm in the behavioural analysis of the Vanderkloof reservoir showed an increase of 20 310 MWH in energy generation corresponding to a 3.2 percent increase. On analysis of storage trajectories over the operating period, it was found that the real time analysis incorporating a hybrid between CPMDE and ANN offers a procedure with a high ability to minimize deviation from target storage under the prevailing water stress condition. Overall, the real time analysis provides an improvement of 49.32 percent over the current practice. Further analysis involving starting the simulation with a proposed higher storage volume suggests that 728.53 GWH of annual energy may be generated from the reservoir under medium flow condition without system failure as opposed to 629 GWH produced from current practice. This corresponds to a 13.66 percent increase in energy generation. It was however noted that the water resources of the dam is not in excess. The water in the dam is just enough to meet all current demands. This calls for proper management policies for future operation of the reservoir to guard against excessive storage depletions. The study herein also involved the development of a decision support system for the daily operation of the Vanderkloof reservoir. This provides a low cost solution methodology suitable for the sustainable operation of the Vanderkloof dam in South Africa. Adopting real time optimisation strategies may be beneficial to the operation of reservoirs. Findings from the study herein indicate that the new algorithm represents an improvement over existing methods. Therefore, CPMDE presents a new tool that nations can adapt for the proper management of water resources towards the overall prosperity of their populace.


Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 812
Author(s):  
Yuchen Pan ◽  
Li Ma ◽  
Hong Tang ◽  
Yiwen Wu ◽  
Zhongjian Yang

Land resources and water resources are the important material basis of economic and social development, and their pattern determines the pattern of development. Based on the panel data of the Chengdu–Chongqing Economic Circle from 2011 to 2018, this paper evaluates the matching degree of water and land resources, and their respective matching degrees with the economic development in the Chengdu–Chongqing Economic Circle with the Gini coefficient method. Based on the two-way fixed effect model, an extended Cobb–Douglas production function model is established to analyze the sensitivity of economic growth to land and water factors. In addition, the restriction degree of water and land resources to the economic development of the Chengdu–Chongqing Economic Circle is measured quantitatively by using the growth damping coefficient. The results show that the water and land resources and economic development of the Chengdu–Chongqing Economic Circle have a high matching degree, but the inner cities have a great difference. The contribution of water resources to economic growth is greater than that of land resources. Both of them have a little growth drag, which shows that industrial development has disposed of the dependence of water and land resources. The development of the Chengdu–Chongqing Economic Circle needs to play the role of technological progress in promoting economic growth, and at the same time optimize the use of water and land resources to reduce its constraints on the economic growth. Finally, the policy suggestions of matching water and land resources and economic growth in different regions are put forward.


Author(s):  
Changfeng Shi ◽  
Hang Yuan ◽  
Qinghua Pang ◽  
Yangyang Zhang

Objectively evaluating the decoupling status of water resources utilization and economic development is an important sign of judging the sustainability of regional economic development. From the perspective of water footprint (WF), this paper expands the scope of water resources accounting by assessing agricultural blue WF, green WF and gray WF. The Tapio decoupling index was used to explore the decoupling status of agricultural WF and economic development in Gansu Province from 2006 to 2015, and the logarithmic mean divisor index (LMDI) decomposition model was used to identify the main driving factors of agricultural WF changes and explore the degree of divergence between agricultural economic development and water resources utilization. The results showed that agricultural economic growth was a main factor for the increase of WF; the improvement of agricultural production technology had a restraining effect, and the population effect and structural effect had a lesser effect. During the research period, the relationship between agricultural WF and economic growth in Gansu Province changed from weak decoupling to strong decoupling, and the contributing factors to decoupling were in descending order: economic, technological, structural and population. Finally, this paper puts forward suggestions on optimizing planting structure, improving agricultural technology and economic development mode to promote the sustainable development of local agriculture.


2010 ◽  
pp. 78-92 ◽  
Author(s):  
V. Klinov

Rates and factors of modern world economic growth and the consequences of rapid expansion of the economies of China and India are analyzed in the article. Modification of business cycles and long waves of economic development are evaluated. The need of reforming business taxation is demonstrated.


2009 ◽  
pp. 38-57 ◽  
Author(s):  
Ph. O’Hara

In this analytical review the author describes the main trends in the modern heterodox political economy as an alternative to mainstream economics. Historical specificity as well as the contradictory and uneven character of economic development are examined in detail. The author also discusses problems of class, gender and ethnic discrimination and their influence on economic growth. It is shown that there are tendencies to convergence of different theoretical perspectives and schools, common themes, topics of research and conceptual apparatus are being formed. The forces of integration and differentiation help establish new ideas and receive interesting scientific results in such fields as development economics, macroeconomics and international economics.


2008 ◽  
pp. 120-132
Author(s):  
K. Arystanbekov

Kazakhstan’s economic policy in 1996-2007, its character and the degree of responsibility, the correlation between economic development and balance of current accounts are considered in the article. Special attention is paid to the analysis of their macroeconomic efficiency. It is concluded that in conditions of high rates of economic growth in Kazahkstan in 2000-2007 the net profits of foreign investors are 10-11% of GDP every year. The tendency of negative balance of current accounts in favor of foreign investors is also analyzed.


2020 ◽  
Vol 26 (11) ◽  
pp. 2448-2471
Author(s):  
S.V. Anureev

Subject. This article examines the functions and management structures of central financial bodies and related parliamentary and governmental structures in Australia, Canada, Great Britain, Japan, Germany, France and Italy. Objectives. The article aims to identify non-standard functions and structures that go beyond the classical responsibility of finance ministries as a central part of the budget process arising from current economic challenges. Methods. For the study, I used a comparative analysis. Results. The article describes the important new functions of financial authorities and treasuries of Western governments aimed at economic growth and economic recovery. Conclusions. The organizational and management structures and functions of the ministries of finance go far beyond the budget process, overlap with and dominate the functions of central banks and ministries of economic development.


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