Agricultural Productive Carrying Capacity Improve and Water Optimal Allocation under Uncertainty Based on Remote Sensing Data in Lancang County, Southwest China

Zhang, Yunquan; Yang, Peiling

doi:10.3390/w14223641

Cited by 4 publications

(2 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average relative error of mineralization of groundwater in the Urat irrigation area was between 12% and15%, and the RMSE for three years was within 0.1. The simulated values better reflect the dynamic changes of root salinity for main crops in the HID, and more accurately simulated the process of salt reduction due to the combination of wells and canals from 2015 to 2019 [53,54].…”

Section: Precision Analysis Of the Salt Control Modelmentioning

confidence: 95%

A Simulation-Based Optimization Model for Control of Soil Salinization in the Hetao Irrigation District, Northwest China

Zhang

Yang

2023

Sustainability

Self Cite

View full text Add to dashboard Cite

The average annual water diversion of the Hetao Irrigation District (HID) from the Yellow River is 4.5 billion cubic meters, mainly used for surface irrigation. Because the groundwater depth is shallow, strong evaporation conditions and unmatched irrigation conditions lead to serious soil salinization in the area; thus, the irrigation area’s ecological environment is fragile. Based on the current situation of the Yellow River irrigation project in the area, an interval two-stage robust stochastic optimization model is proposed to address the problem. In 2015, the Shuguang Experimental Station in the middle of the HID, Inner Mongolia, discussed the impact of different degrees of water–salt coordinated regulation on water consumption, yield and price of wheat, maize and sunflower under drip irrigation conditions. The obtained results provide the water shortage and water distribution targets of multiple water sources and multiple water levels in five irrigation areas of the HID. Those water distribution targets were used as the main input parameter and entered into the SALTMOD model based on the principle of water and salt balance. The output included data on groundwater mineralization and groundwater depth. It was observed that (1) integrated interval two-stage robust stochastic programming and the SALTMOD Model to couple optimization model under uncertainty can simulate a model together; (2) systemic risk issues were considered; and (3) the proposed method can be applied to the HID in northwest China to solve the soil salinization control problem. This approach is applicable to arid and semiarid regions that face similar problems.

show abstract

Section: Precision Analysis Of the Salt Control Modelmentioning

confidence: 95%

A Simulation-Based Optimization Model for Control of Soil Salinization in the Hetao Irrigation District, Northwest China

Zhang

Yang

2023

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…In some cases, satellite remote-sensing technology is utilized by scholars to detect regional water quality and explore the key factors that influence water resources carrying capacity [10]. For instance, Zhang et al studied the carrying capacity of agricultural water resources in Lancang County, Yunnan Province, using remote-sensing data [11]. Additionally, Eymen et al conducted a study on the potential irrigated land in the Yamla Basin [12].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatial and Temporal Evolution of Regional Water Resources Carrying Capacity and Influencing Factors—Anhui Province as an Example

Jiang

2023

Sustainability

View full text Add to dashboard Cite

The study of water resources carrying capacity is a crucial aspect of water resources ecological security research. To account for the interplay between regional natural conditions and economic and social factors, a natural–economic–social–environmental evaluation index system is established within the framework of water resources. The comprehensive index of water resources carrying capacity in Anhui Province is then calculated using the entropy weight method and CRITIC model. Spatial kernel density and Dagum analysis are employed to analyze the results. The findings indicate that (1) the overall water resources carrying capacity of Anhui Province has exhibited an upward trend from 2003 to 2021, with the overall index of water resources carrying capacity increasing from 0.34 to 0.49. (2) The presence of water resources carrying capacity polarization in Anhui Province is evident, although this trend has been diminishing in recent years. (3) The Gini coefficient of water resources carrying capacity in Anhui Province first increases and then decreases, with the Gini coefficient between groups being more pronounced than the Gini coefficient within groups. (4) Geospatial factors play a significant role in shaping the future spatial distribution of water resources carrying capacity in Anhui Province. Additionally, the interaction of water resources carrying capacity among neighboring areas contributes to the reduction of differences between water resources carrying capacity in different regions in the future.

show abstract

Uncertain multi‐objective programming approach for planning supplementary irrigation areas in rainfed agricultural regions

Shi,

Han,

Guo

2024

Irrigation and Drainage

View full text Add to dashboard Cite

Rainfed agriculture is crucial for ensuring global food and water security, and supplementary irrigation is an effective means of improving the economic benefits in rainfed agricultural regions. This study proposes a novel uncertain optimization approach to optimize supplementary irrigation areas in rainfed agricultural regions. The approach incorporates multi‐objective linear programming, interval linear programming, fuzzy goal programming and stochastic expected value programming. In the proposed interval multi‐fuzzy goal stochastic expected‐value programming, uncertainties are expressed in the form of discrete intervals, probability distributions and fuzzy goals. This approach, which considers the randomness of precipitation during the optimization process and allocates limited irrigation water resources to different subareas and crops, was applied to a case study of crop irrigation area planning in Guyuan City, Ningxia Hui Autonomous Region, northwestern China. The maximum economic benefits and the minimum sum of the Gini coefficients among the different subareas and crops were regarded as the planning objectives, and a series of optimal irrigation areas with different crops and subareas under different water levels were obtained. The optimization results revealed that vegetables and fruits consumed large amounts of irrigation water to increase their economic benefits. In addition, allocating a large amount of irrigation water to wheat is essential to decrease the Gini coefficient and meet food security constraints, particularly at extremely low water levels. Compared with current management, the optimized irrigation area decreased by 30%, the crop water deficit index increased by 9%, the economic benefits increased by 3% and the total Gini coefficient of crops decreased by 17%, indicating that the optimization approach could fairly and reasonably allocate irrigation water resources. Our research provides a mathematical approach for decision‐makers to plan supplementary irrigation areas in rainfed agricultural regions.

show abstract

Agricultural Productive Carrying Capacity Improve and Water Optimal Allocation under Uncertainty Based on Remote Sensing Data in Lancang County, Southwest China

Cited by 4 publications

References 43 publications

A Simulation-Based Optimization Model for Control of Soil Salinization in the Hetao Irrigation District, Northwest China

A Simulation-Based Optimization Model for Control of Soil Salinization in the Hetao Irrigation District, Northwest China

Analysis of Spatial and Temporal Evolution of Regional Water Resources Carrying Capacity and Influencing Factors—Anhui Province as an Example

Uncertain multi‐objective programming approach for planning supplementary irrigation areas in rainfed agricultural regions

Contact Info

Product

Resources

About