scholarly journals Adaptive management of water resources based on an advanced entropy method to quantify agent information

2019 ◽  
Vol 21 (3) ◽  
pp. 381-396 ◽  
Author(s):  
Kun Cheng ◽  
Shuai Wei ◽  
Qiang Fu ◽  
Wei Pei ◽  
Tianxiao Li
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Adaptive Management ◽  
Water Use ◽  
Water Resources Management ◽  
Economic Benefits ◽  
Entropy Method ◽  
Ecological Benefits ◽  
Resources Management ◽  
Use Efficiency

Abstract Adaptive management is currently an important method to optimize the management of complex water resources systems. Regional water resources adaptive management was conducted based on the advanced theory of a complex system multi-agent model; the state of an agent was tracked and modified by information entropy theory, which was improved by using individual standard deviations. With the goal of optimizing the adaptation of each agent of the region, water resources in the major grain production area of China were managed under the constraints of the total annual available water resources and water use efficiency requirements for 2015 and 2030. By introducing the adaptive water resources management in 2015, the domestic benefits and economic benefits increased by 2.90% and 14.81%, respectively, with respect to observed values. The ecological benefits declined by 3.63%, but ecological water demand was fully satisfied, and the ecological water environment was improved. Given the water use efficiency targets in 2030, applying adaptive management resulted in an increase of domestic, economic, and ecological benefits of 34.29%, 21.14%, and 1.78%, respectively. The results show that the adaptive management method presented can help managers to balance the benefits of various agents to determine the direction of water resources management decisions.

Study on Efficiency of Rainfall and Flood Water Resources Utilization in Coastal Area

2013 ◽  
Vol 409-410 ◽  
pp. 79-82 ◽  
Author(s):  
Ying Qin Chen ◽  
Xian Feng Huang
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Environmental Water ◽  
Utilization Efficiency ◽  
Agricultural Water ◽  
Domestic Water ◽  
Flood Water ◽  
Use Efficiency ◽  
Water Resources Utilization

Due to the rich resources of urban rainwater and transit flood in coastal areas, rational utilization of rainfall and flood water resources can improve the sustainable utilization, to better serve the coastal development. In this paper, the available quantity of water rainfall and flood water resources in coastal are distributed to domestic water, industrial water, agricultural water and ecologic environmental water. Water price method is used to calculate domestic water efficiency. Energy synthesis is used to calculate the industrial and agricultural water-use efficiency. Ecologic environmental water-use efficiency-sharing coefficient method is used to calculate the ecologic environmental water-use efficiency. Finally, taking Lianyungang City, a Jiangsu coastal city as an example to analyze the rainfall and flood water resources utilization efficiency. The results provide reference to the research for Chinas plain area rainfall and flood water resources efficiency analysis.

Exploring Northwest China's agricultural water-saving strategy: analysis of water use efficiency based on an SE-DEA model conducted in Xi'an, Shaanxi Province

2016 ◽  
Vol 74 (5) ◽  
pp. 1106-1115 ◽  
Author(s):  
L. Mu ◽  
L. Fang ◽  
H. Wang ◽  
L. Chen ◽  
Y. Yang ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Demand ◽  
Water Governance ◽  
Northwest China ◽  
Water Saving ◽  
Shaanxi Province ◽  
Agricultural Water ◽  
Use Efficiency

Worldwide, water scarcity threatens delivery of water to urban centers. Increasing water use efficiency (WUE) is often recommended to reduce water demand, especially in water-scarce areas. In this paper, agricultural water use efficiency (AWUE) is examined using the super-efficient data envelopment analysis (DEA) approach in Xi'an in Northwest China at a temporal and spatial level. The grey systems analysis technique was then adopted to identify the factors that influenced the efficiency differentials under the shortage of water resources. From the perspective of temporal scales, the AWUE increased year by year during 2004–2012, and the highest (2.05) was obtained in 2009. Additionally, the AWUE was the best in the urban area at the spatial scale. Moreover, the key influencing factors of the AWUE are the financial situations and agricultural water-saving technology. Finally, we identified several knowledge gaps and proposed water-saving strategies for increasing AWUE and reducing its water demand by: (1) improving irrigation practices (timing and amounts) based on compatible water-saving techniques; (2) maximizing regional WUE by managing water resources and allocation at regional scales as well as enhancing coordination among Chinese water governance institutes.

scholarly journals Virtual water evaluation for grains productsin Iran Case study: pea and bean

2017 ◽  
Vol 35 (1) ◽  
pp. 275-280
Author(s):  
Hossein Yousefi ◽  
Ali Mohammadi ◽  
Mitra Mirzaaghabeik ◽  
Younes Noorollahi
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Water Budget ◽  
Agricultural Development ◽  
Virtual Water ◽  
Use Efficiency ◽  
West Azerbaijan

AbstractShortage of water is considered as one of the most important straits of agricultural development in Iran. The main purpose of this study is to determine virtual water used to pea and bean production and water use efficiency, select the best area for cultivating these two grains and find the virtual water budget for the aforementioned grains. The results showed that among the three provinces main producers of pea in Iran, the highest virtual water of pea belongs to Lorestan with 3534 dm3·kg−1 and the lowest belongs to West Azerbaijan with 2660 dm3·kg−1 in irrigated cultivation. Water use efficiency in irrigated cultivation in Kermanshah and West Azerbaijan are at the same level; however, Kermanshah has enjoyed much more level of virtual water. For beans, the highest amount of virtual water in irrigated cultivation belongs to Lorestan (3651 dm3·kg−1) and the lowest amount refers to Markazi (2725 dm3·kg−1) and also the highest level of water use efficiency for this product refers to Markazi. Also it was found that 160.15 mln m3 of water has been exported from the country water resources by these products so virtual water budget for studied crops were negative.

scholarly journals Study on Coupling Coordination Relationship Between Water Use Efficiency and Economic Development

2020 ◽  
Author(s):  
Wen-Jie Xu ◽  
Xiao-Ping Zhang ◽  
Qian Xu ◽  
Hui-Ling Gong ◽  
Qing Li ◽  
...  
Keyword(s):  
Economic Development ◽  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Comprehensive Evaluation ◽  
Development System ◽  
Two Systems ◽  
Use Efficiency ◽  
Jinan City ◽  
Coordination Degree

In order to realize the sustainable utilization of water resources and the sustainable development of economy, the evaluation index system of water use efficiency system and economic development system was constructed. Entropy weight method and comprehensive evaluation method were adopted to determine the index weights and conduct comprehensive evaluation for the two systems. The coupling coordination model was used to calculate the coupling degree, coordination degree and coupling coordination degree of the two systems. The annual coupling stage and coupling coordination intensity of the two systems were analyzed and determined. The results showed that the comprehensive evaluation values of both water use efficiency system and economic development system in Jinan City increased greatly from 2008 to 2017, and showed a changing trend of ups and downs. The two systems were in the antagonistic stage, and were gradually approaching the running-in stage, indicating that they were in the state of common development. The coupling coordination degree of the two systems gradually increased in waves, progressed from the moderately to the highly coordinated coupling. In the future, if the water control path appropriate to Jinan City can be explored actively, the water-saving kinetic energy of economic development can be increased constantly, and the linkage effect between economic development and water resources utilization can be given full play to, the two systems will be in the orbit with the benign interaction and healthy harmonious development.

scholarly journals A Review on Managing Agroecosystems for Improved Water Use Efficiency in the Face of Changing Climate in Tanzania

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jerome Kimaro
Keyword(s):  
Water Resources ◽  
Water Use Efficiency ◽  
Water Use ◽  
Human Population ◽  
Smallholder Farmers ◽  
Cropping Systems ◽  
Survey Study ◽  
Population Increase ◽  
Smallholder Farming ◽  
Use Efficiency

Agroecosystems are important for food production and conservation of biodiversity while continuing to provide several ecosystem services within the landscape. Despite their economic and ecological benefits, most agroecosystems in Tanzania are degraded at alarming rates. Rapid increase of human population and unprecedented impacts of climate change have influenced depletion of natural resource base within agroecosystem in recent decades compared to what communities have experienced before. Increased food demands owing to population increase have increased pressure on exploitation of land resources including water. Cultivation area and irrigation water demands have increased steadily in the last six decades. Nevertheless, approaches used for water supply have not been improved; thus, water use efficiency in most irrigation schemes is quite poor. Conversely, climate smart agricultural practices are practiced less in Tanzania. There is poor adoption of recommended adaptation among smallholder farmers due to several socioeconomic reasons. One of the key objectives of climate smart agriculture is to improve bio-geochemical interactions within landscape and decrease competition of natural resources between humans and other component of agroecosystems. This underscores the assumptions that most cropping systems in Tanzania are not managed sustainably. Moreover, comprehensive assessment of hydrological dynamics within smallholder farming in Tanzania is highly lacking. Therefore, actual causes and extent of water resources depletion are largely unknown among stakeholders. In most tropical landscapes, water resources degradation is influenced by interaction of both anthropogenic and biophysical factors operating at different times and space scales. As the capacity of water-supplying sources continues to decline, Tanzania needs profound changes in agricultural production systems in order to nourish the growing human population. This calls for strategic approaches that have wider adaptability. A literature survey study with the following objectives was conducted (i) to assess current state of agricultural water use and irrigation activities in Tanzania and (ii) to determine major constraints for sustainable water management and identify appropriate adaptation measures for their improvement across diverse cropping systems.

Improvement of agriculture water resources management in large arid river basin through an integrated hydrological modeling approach

2020 ◽  
Author(s):  
Yong Tian
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
River Basin ◽  
Water Use ◽  
Water Resources Management ◽  
Hydrological Cycle ◽  
Limited Data ◽  
Resources Management ◽  
Improved Model ◽  
Agriculture Water

<p>The ability to dynamically simulate the supply and demand of irrigated water in arid and semi-arid regions is needed to improve water resources management. To meet this challenge, this study developed an agriculture water resources allocation (WRA) module and coupled this module to an integrated surface water-groundwater model GSFLOW. The original GSFLOW, developed by USGS, is able to simulate the entire hydrological cycle. The improved GSFLOW with the WRA module allows the simulation, analysis and management of nearly all components of agriculture water use. It facilitates the analysis of agricultural water use when limited data is available for surface water diversion, groundwater pumpage, or canal information. It can be used to simulate and analyze historical and future conditions. The improved GSFLOW program was applied to the Heihe River Basin (HRB), which is the second largest inland river basin in China. The calibration and validation results of the program shows that the program is capable of simulating both hydrological cycle and actual agriculture water use with limited data. Then the model was used to analyze a set of agriculture water use scenarios, for example, limiting groundwater pumpage, adjusting water allocations between the middle stream and the lower stream. Based on these scenarios, it was found that the improved model could be used as a decision tool to provide better agriculture water resources management strategies. The improved model could be easily used in other basins.</p>

Participatory-Exploratory Modeling of Coupled Socio-Economic and Environmental Systems for Adaptive Management of Water Resources

2020 ◽  
Author(s):  
Mohammadreza Alizadeh ◽  
Jan Adamowski ◽  
Julien Malard ◽  
Azhar Inam
Keyword(s):  
Water Resources ◽  
Adaptive Management ◽  
Water Resources Management ◽  
Policy Making ◽  
Deep Uncertainty ◽  
Environmental System ◽  
Resources Management ◽  
Environmental Systems ◽  
Sustainable Water Resources Management ◽  
Adaptive Policy

<p>Water and environmental resources exist in complex and deeply uncertain systems of social-economic and environmental components.  As such, natural resource systems are impacted simultaneously by the diverse effects of many interacting human-environmental components. While conventional environmental planning commonly stresses estimation and prediction, preferring top-down initiatives and technocratic solutions, this approach often overlooks socio-economic impacts and interactions, leading to unexpected long-term outcomes. In response, it is now widely acknowledged that frameworks capturing the complex dynamics of society and the environment are needed to develop more sustainable environmental and water resources management strategies. Moreover, for robust policy-making, the performances of potential policies must be considered under multiple plausible conditions to enhance the chances of desired outcomes and limit the risk of undesirable results. This research addresses these challenges by considering deep uncertainty in coupled socio-economic and environmental systems.  In this study, a computational model-based approach to support adaptive decision-making under deep uncertainty is developed and applied to adaptive policy-making of sustainable water resources management for human-water systems in developing countries. The Rechna Doab region of Pakistan is considered as a case study. Qualitative-quantitative participatory exploratory modeling is performed by incorporating a physical-socioeconomic system dynamics model, a systematic scenario selection method and a scenario discovery approach.  The Driver-Pressure-State-Impact-Response (DPSIR) model is used through storytelling approaches to identify vulnerabilities in policy options in the coupled socio-economic and environmental system by considering its response to drivers, pressures, states, and impacts. Storytelling methods are used to develop qualitative storylines in order to support a detailed and stakeholder-led description of future adaptive management policies. The proposed methodology is used for systematic scenario discovery to uncover vulnerabilities across a range of possible futures and test the performance of stakeholder proposed policies. Also, the tradeoffs between water resources management alternatives, in terms of stakeholder objectives, and their robustness to deep uncertainty are assessed. The proposed approach simulates qualitative and quantitative cause-effect relationships between the environmental system and socio-economic interactions to assess candidate policies, their vulnerabilities and associated adaptive strategies.</p>

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