Assessment of uncertainty effects on crop planning and irrigation water supply using a Monte Carlo simulation based dual-interval stochastic programming method

Liu, J.; Li, Y. P.; Guo, Huiqing; Zhuang, Xiaowen; Fu, Haiyan

doi:10.1016/j.jclepro.2017.02.100

Cited by 44 publications

(20 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Constraints (20) can ensure the total local generated electricity should more than or equal to the sum of local electricity demands and exported electricity. The optimized electricity-generation schemes can be obtained from Equations (21) and (22). The optimized amounts of exported electricity can be obtained from constraints (23) and (24).…”

Section: Data Collectionmentioning

confidence: 99%

“…T2FP is effective for tackling fuzzy sets with membership grades ranging from 0 to 1. This characteristic is useful when parameters are highly uncertainty [21]. A type-2 fuzzy set A in X is a fuzzy set and its membership function is also expressed as fuzzy set.…”

Section: Ns Tmentioning

confidence: 99%

“…A type-2 fuzzy set A is more capable of dealing with fuzzy uncertainties in real-world applications than the conventional fuzzy sets, because type-2 fuzzy set has more design degree of freedom [21]. A T2FP model can be formulated as follows [37]:…”

Section: Ns Tmentioning

confidence: 99%

“…Generally, CCP can tackle the stochastic uncertainties in the right-hand side of constraints and reflect the reliability of satisfying system constraints under uncertainty, but it can hardly determine probabilities of random uncertainties. Monte Carlo simulation is an effective tool for tackling such a problem, which can catch the randomness of available water resources [21,22]. Furthermore, the CCP method is inefficient in addressing the ambiguity and vagueness of subjective judgments.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Planning an Energy–Water–Environment Nexus System in Coal-Dependent Regions under Uncertainties

Chen

Zeng

et al. 2020

Energies

View full text Add to dashboard Cite

Energy, water, and environment are inextricably interwoven in the complex social and economic networks. This study proposes an optimization model for planning the energy–water–environment nexus system (EWENS) through incorporating the linear autoregressive integrated moving average model prediction model (ARIMA), Monte Carlo simulation, chance-constrained programming (CCP), and type-2 fuzzy programming (T2FP) into one general framework. This method effectively tackles type-2 fuzzy set and stochastic uncertainties. The proposed model can quantitatively explore the interconnections between water, energy, and environment systems and generate an optimized solution for EWENS. The proposed model was applied to a coal-dominated region of China, i.e., Inner Mongolia. Several findings and policy implications were obtained. First, the total water supply for energy-generating activities will range from 1368.10 × 106 m3 to 1370.62 × 106 m3, at the end of planning periods. Second, the electricity for water supply will range from 2164.07 × 106 kWh to 2167.65 × 106 kWh at the end of the planning periods, with a growth rate of 46.06–48.72%. Thirdly, lifecycle carbon dioxide emission (LCDE) is projected to range from 931.85 × 106 tons to 947.00 × 106 tons at the end of the planning periods. Wastewater and SO2, NOx, and particulate matter (PM) emissions are projected to be 42.72 × 103–43.45 × 103 tons, 183.07 × 103–186.23 × 103 tons, 712.38 × 103–724.73 × 103 tons, and 38.14 × 103–38.80 × 103 tons at the end of the planning periods. Fourthly, as the largest electricity-exporting city of China, Inner Mongolia’s electricity outflows will export 1435.78 × 106 m3 of virtual water to other regions, implying that Inner Mongolia is pumping its important water resource to support other regions’ electricity demands. Finally, high carbon mitigation levels can effectively optimize the electricity power mix, reduce consumption amounts of water and coal, and mitigate air pollutants, wastewater, and LCDE. The obtained results provide useful information for managers to develop a sustainability plan for the EWENS.

show abstract

Section: Data Collectionmentioning

confidence: 99%

Section: Ns Tmentioning

confidence: 99%

Section: Ns Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Planning an Energy–Water–Environment Nexus System in Coal-Dependent Regions under Uncertainties

Chen

Zeng

et al. 2020

Energies

View full text Add to dashboard Cite

show abstract

“…Ayrıca, suyun düşük değerli olan sulamada kullanımındansa yüksek değerli olan endüstriyel, evsel ve hidroelektrik kullanımları tercih edilmektedir. Bu da tarımın performansı üzerine ilave baskılara yol açmaktadır [3,5,6].…”

Section: Introductionunclassified

Determination of The Water Quality With Some Parameters in Elazig Keban Dam Lake Pertek Region

Topal

2019

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

View full text Add to dashboard Cite

In this study, surface water samples from Keban Dam Lake Pertek Region were taken during the summer of 2018 and compared with the water quality parameters given in the Surface Water Quality Regulation (SWQR). According to the obtained data, pH 8.7-8.84, temperature between 20.1-27.5 o C, electrical conductivity (EC) 264-398 µS/cm, nitrate (NO3-N) concentrations between 1.1-1.34 mg/L, Biochemical Oxygen Demand (BOD5) concentrations 2.3-3.6 mg/L and Chemical Oxygen Demand (COD) concentrations were determined to be between 25.2-33 mg/L. As a result, the surface waters taken from the Pertek Region of Keban Dam Lake were found to be water in Class-1 quality in terms of pH, temperature, EC, NO3-N, BOD5 concentrations, and water from Class-2 quality in terms of COD.

show abstract

Energy, Water, Food Nexus Decision-Making for Sustainable Food Security

Namany

Al‐Ansari

2021

The Water–Energy–Food Nexus

View full text Add to dashboard Cite

Assessment of uncertainty effects on crop planning and irrigation water supply using a Monte Carlo simulation based dual-interval stochastic programming method

Cited by 44 publications

References 28 publications

Planning an Energy–Water–Environment Nexus System in Coal-Dependent Regions under Uncertainties

Planning an Energy–Water–Environment Nexus System in Coal-Dependent Regions under Uncertainties

Determination of The Water Quality With Some Parameters in Elazig Keban Dam Lake Pertek Region

Energy, Water, Food Nexus Decision-Making for Sustainable Food Security

Contact Info

Product

Resources

About