Your search found 2 records
1 Zuo, Q.; Wu, Q.; Yu, L.; Li, Y.; Fan, Y. 2021. Optimization of uncertain agricultural management considering the framework of water, energy and food. Agricultural Water Management, 253:106907. [doi: https://doi.org/10.1016/j.agwat.2021.106907]
Agricultural production ; Water management ; Water resources ; Energy resources ; Food security ; Nexus ; Surface water ; Water supply ; Resource allocation ; Decision making ; Pesticides ; Fertilizers ; Crops ; Uncertainty ; Models / China / Henan
(Location: IWMI HQ Call no: e-copy only Record No: H050414)
https://vlibrary.iwmi.org/pdf/H050414.pdf
(10.60 MB)
Synergetic development of water, energy and food is prerequisite for coping with issues of increment of global population, deterioration of ecological environment and aggravation of climate change. This study aims to develop a scenario-based type-2 fuzzy interval programming (STFIP) approach for planning agricultural water, energy and food (WEF) as well as crop area management. Uncertainties presented as interval numbers, scenarios and fuzzy sets as well as the dual uncertainties (i.e. interval-scenario and type-2 fuzzy interval) can be effectively tackled by the STFIP method. Then, a STFIP-WEFN model is developed and applied to maximize net agricultural profit with integrated management of productive resources for Henan Province, China. Solutions of different water resources, diverse energy resources and multiple agricultural crops in association with various water supply structures between current situation and future policy orientation are examined. Results disclose that: over the entire planning horizon, a) the total planting area of crops can increase from [129.3, 133.6] × 103 km2 to [132.0, 135.6] × 103 km2 by optimizing resources allocation; b) uncertainties existing in the WEFN system can lead to a change rate of the system benefit by 16.93%; c) the total planting area can increase by [4.00, 6.05] % when the groundwater ratio changes from 40% to 55%. These findings can help effectively optimize the existing planting structure and coordinate the development of Henan Province among water, energy, food, economy, society and environment.

2 Gu, D.; Guo, J.; Fan, Y.; Zuo, Q.; Yu, L. 2022. Evaluating water-energy-food system of Yellow River Basin based on type-2 fuzzy sets and pressure-state-response model. Agricultural Water Management, 267:107607. [doi: https://doi.org/10.1016/j.agwat.2022.107607]
Water resources ; Energy consumption ; Food systems ; Evaluation ; River basins ; Decision making ; Water use ; Indicators ; Models ; Uncertainty / China / Yellow River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051097)
https://vlibrary.iwmi.org/pdf/H051097.pdf
(9.41 MB)
Water, energy and food security are the prerequisites for coping with intensified climate change, and also the guarantee for sustaining socio-economic development. This study aims to establish a “Pressure-State-Response” (PSR) model to evaluate the water-energy-food (WEF) system security and clarify the main factors affecting WEF development, system state and social response. In addition, the interval type-2 fuzzy sets and analytic hierarchy process are incorporated to address uncertainty in the importance weights of quantitative indicators. Scenario design, Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Combinative Distance-based Asssessment (CODAS) methods are also adopted to carry out quantitative calculation and explore the key constraints of WEF system security in the nine provinces of the Yellow River basin from 2006 to 2019. Results show that the WEF system security in each province has been improved in 2006–2019 under different scenarios. In detail, the pressure of WEF system is decreasing in Gansu, Ningxia, and Shanxi province, which is due to the decrease in waste water emissions per person and energy consumption per unit of GDP. The state of WEF system in various provinces has also been improved year by year. The response of WEF system is increasing in all provinces except Shanxi. There is obvious spatial-temporal heterogeneity in different provinces, but the regional gaps are narrowing. These findings cannot only reflect the multi-element relationship from both human activities and environmental changes, but also deal with uncertain in WEF assessment system. The obtained results can provide scientific basis for decision-makers to formulate relevant policies and measures.

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