Optimization allocation of irrigation water resources based on crop water requirement under considering effective precipitation and uncertainty

Gong, Xinghui; Zhang, Hongbo; Ren, Chongfeng; Sun, Dengyue; Yang, Jiantao

doi:10.1016/j.agwat.2020.106264

Cited by 71 publications

(31 citation statements)

References 44 publications

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“…Water resources are essential to all life, primary natural resources, strategic economic resources, and ecological control factors [ 1 , 2 , 3 ]. Moreover, many countries face inevitable conflicts among the financial and the environment caused by limited water resources, especially in arid and semi-arid areas [ 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. Arid regions (including semi-arid areas) account for one-third of the global land area, are spread over more than 50 countries and regions, and account for 15% of the world’s population.…”

Section: Introductionmentioning

confidence: 99%

The Allocation of Water Resources in the Midstream of Heihe River for the “97 Water Diversion Scheme” and the “Three Red Lines”

Geng

Jiang

Lei

et al. 2021

IJERPH

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Rapid economic and societal development increases resource consumption. Understanding how to balance the discrepancy between economic and social water use and ecological water use is an urgent problem to be solved, especially in arid areas. The Heihe River is the second-largest inland river in China, and this problem is notable. To ensure the downstream ecological water use, the “Water Distribution Plan for the Mainstream of the Heihe River” (97 Water Diversion Scheme) controls the discharge of Yingluo Gorge and Zhengyi Gorge, while the “Opinions of applying the strictest water resources control system” (Three Red Lines) restricts the water use. With the development of the economy and agriculture in the midstream, Zhengyi Gorge’s discharge cannot reach the Heihe River’s ecological water downstream. This paper is under the constraints of the “97 Water Diversion Scheme” of Heihe River and the “Three Red Lines” of the total water use control index for Zhangye County. We constructed a water resource allocation model for the midstream of Heihe River to reasonably allocate water resources in the Heihe River’s midstream and downstream. This model is divided into three parts: Establish the mathematical equation, simulate the water consumption under the different inflow conditions, and ensure each water user’s demand. The result showed that if we fail to confine total water consumption in the midstream, through the reasonable allocation of water resources, the real water use and water consumption of the middle Heihe River will be greater than the “97 Water Diversion Scheme” and the “Three Red Lines.” If we confine water consumption, they will be within the “97 Water Diversion Scheme” and the “Three Red Lines,” at the same time, they can reach the downstream of the Heihe River’s ecological water. Besides, under the premise of satisfying the economic water and ecological water downstream of the Heihe River, returning farmland to wasteland and strengthening water-saving measures will improve water efficiency and be more conducive to allocating water resources.

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Section: Introductionmentioning

confidence: 99%

The Allocation of Water Resources in the Midstream of Heihe River for the “97 Water Diversion Scheme” and the “Three Red Lines”

Geng

Jiang

Lei

et al. 2021

IJERPH

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“…Fresh water is an essential resource. It not only helps to maintain ecological health, but also promotes social development [1]. Agriculture is the largest water use sector, accounting for approximately 70% of freshwater use globally per year [2].…”

Section: Introductionmentioning

confidence: 99%

“…There are several limitations in spatial analysis and interdisciplinary application, including low spatial resolution and a mismatch between administrative regions and geographical units. Compared with traditional socio-economic data, the spatialization of statistical data has the following advantages: (1) Reflecting the spatial distribution characteristics of socio-economic data within the statistical region; (2) facilitating spatial analysis through grid-based socioeconomic data; and (3) breaking the limitations of administrative boundary. Liang et al used night-time light and land use data to spatialize the GDP of a Chinese city via a linear regression model, which can provide a reference for future urban planning and social and economic development [18].…”

Section: Introductionmentioning

confidence: 99%

Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data

et al. 2021

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To fairly distribute limited irrigation water resources in arid regions, a water allocation priority evaluation method based on remote sensing data was proposed and integrated with an optimization model. First, the water supply response unit was divided according to canal system conditions. Then, a spatialization method was used for generating spatial agricultural output value (income from planting industry) and grain yield (yield of food crops) with the help of NDVI and the potential yield of farmland. Third, the AHP-TOPSIS method was employed to calculate the water allocation priority based on the above information. Finally, the evaluation results were integrated with a nonlinear multiobjective model to optimally allocate agricultural land and water resources, considering the combined objective of minimum envy and proportional fairness. The method was applied to Hetao irrigation area, an arid agriculture-dominant region in Northwest China. After solving the model, optimization alternatives were obtained, which indicate that: (1) the spatial method of agricultural output value can improve the accuracy by around 16% compared with the traditional method, and the spatial method of grain yield also have good accuracy (MAPE = 14.66%); (2) the rank of water allocation priority can reflect more spatial information, and provide practical decision support for the distribution of water resources; (3) the envy index can better improve the efficiency of an allocation system compared to the Gini coefficient method.

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“…The variation of precipitation concentration is critical to water resource utilization, and it affects human life, environment, and ecosystem. For instance, the change of precipitation concentration is important to adjust the optimal allocation scheme of soil and water resources in time and to ensure higher yields of crops [ 18 ]. It is also needed for disaster prevention.…”

Section: Introductionmentioning

confidence: 99%

Investigating variations of precipitation concentration in the transitional zone between Qinling Mountains and Loess Plateau in China: Implications for regional impacts of AO and WPSH

Zhang

Singh

et al. 2020

PLoS ONE

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Changes in precipitation patterns greatly impact regional drought/flood risk management and utilization of water resources. The main purpose of this paper was to investigate spatio-temporal variability of precipitation concentration in the transitional zone between Qinling Mountains (QDM), Guanzhong Plain (GZP) and the Loess Plateau (LPNS) in China, using monthly-scale precipitation concentration index (PCI) and daily-scale concentration index (CI) from daily rainfall records. The Mann-Kendall method was employed to illustrate the change in trend of PCI and CI, the Kriging interpolation method was adopted to measure spatial distribution, and the Wavelet transforms were used to explore their spatio-temporal correlation with the Arctic Oscillation (AO) & Western Pacific Subtropical High (WPSH) for revealing the potential attribution of precipitation concentration variation. Also, the regional implication of CI was investigated in the zone to provide local knowledge of the index application. Results showed that annual precipitation demonstrated a north-south increasing layered spatial distribution in the zone, representing a generally decreasing trend. The CI change generally exhibited a more significant decreasing trend than did PCI in LPNS and GZP due to AO slowly increasing over time, with a spatially weak layered or radial north-south decay, and an insignificant increasing trend in QDM impacted by the enhancing WPSH, with an obvious layered or radial spatial distribution. The spatiotemporal pattern of PCI variation represented similar characteristics in attribution with CI, but an inverse spatial distribution due to the phase difference (positive and negative effects) of AO and WPSH influencing seasonal precipitation. Regional analysis of CI showed that the CI value with over 0.62 indicated that approximately 80% of precipitation was contributed by 25% of the rainiest days in this zone. Fortunately, the area with this high CI has been getting smaller, implying a positive trend toward regional flash flood and debris flow control.

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Optimization allocation of irrigation water resources based on crop water requirement under considering effective precipitation and uncertainty

Cited by 71 publications

References 44 publications

The Allocation of Water Resources in the Midstream of Heihe River for the “97 Water Diversion Scheme” and the “Three Red Lines”

The Allocation of Water Resources in the Midstream of Heihe River for the “97 Water Diversion Scheme” and the “Three Red Lines”

Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data

Investigating variations of precipitation concentration in the transitional zone between Qinling Mountains and Loess Plateau in China: Implications for regional impacts of AO and WPSH

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