Drivers of the irrigation water rebound effect: A case study of Hetao irrigation district in Yellow River basin, China

Xu, Hang; Song, Jianfeng

doi:10.1016/j.agwat.2022.107567

Cited by 17 publications

(8 citation statements)

References 45 publications

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“…Based on the file of Outline of the Plan for EPHD of YRB , the YRB was divided into three regions, including upstream, medium-stream, and downstream according to the natural environment and hydrological conditions of the area where the river flows, such as water, slope, temperature, human activities, etc. Moreover, some authors [ 2 , 5 , 9 , 10 , 22 ] who have studied the YRB also divided it into three regions. From the source of the river in Qinghai province to Hekou town in Inner Mongolia is the upstream of YRB.…”

Section: Methodology and Datamentioning

confidence: 99%

“…The EPHD of YRB in China is a national and regional development strategy that started in 2019 (Yuan X et al, 2021) [ 5 ], so there are a large number of studies involving the YRB (Jiang et al, 2015; Liu et al, 2022; Shi and Wang, 2021; Wang et al, 2021; Wei et al, 2021; Xu and Song, 2022; Xu et al, 2009; Yuan et al, 2020; Yuan et al, 2022; Zhai et al, 2021; Zhang and Xu, 2022) [ 2 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ]. Studies of the YRB mainly focused on the ecological environment, water resource, agriculture, climate change, carbon footprint, etc., such as the irrigation water rebound effect in YRB (Xu and Song, 2022) [ 10 ]: the irrigation water rebound effect included four parts, the effect in product income, product substitution, factor income, and the factor substitution. Liu et al (2022) [ 7 ] analyzed the meteorological factors and water requirements of four crops in the YRB from 1971 to 2017, as well as the characteristics in spatio-temporal variation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, the region of YRB is a complex eco-system; a coordinated development system is conducive to promoting ecological protection ( ecological civilization for a better environment of life ) and high-quality and sustainable development ( common prosperity in development for a better quality of life ) in YRB (Shi and Wang, 2021) [ 4 ]. The study of ecological civilization in YRB has mainly focused on water source and water management (Liu et al, 2022; Xu and Song, 2022) [ 7 , 10 ]; carbon footprints (Yuan et al, 2022) [ 5 ]; water footprints (Feng et al, 2012) [ 14 ]; efficiency in carbon emission (Zhang and Xu, 2022) [ 13 ]; response of streamflow to climate change (Xu et al, 2009) [ 2 ]; the dynamics of vegetation and the factors’ contribution under climate and non-climate (Yuan et al, 2020) [ 11 ]; spatio-temporal analysis of vegetation variation (Jiang et al, 2015) [ 6 ]; the coordinated development system between the human and land (Shi and Wang, 2021) [ 4 ]; and efficiency evaluation and efficiency influencing factors in agricultural water (Wei et al, 2021) [ 9 ]. The study of common prosperity in high quality before mainly focused on widening income disparity (Chang, 2002) [ 15 ]; economic inequality (Wu, S.X.…”

Section: Literature Reviewmentioning

confidence: 99%

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Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China

Liu

Yang

2023

IJERPH

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Analyzing the spatial difference and convergence of ecological common prosperity (ECP) in the Yellow River Basin (YRB) will be beneficial for the environmental governance and multi-regional economic coordination. Based on the panel data of 97 cities in the YRB from 2003 to 2019, this paper measured and analyzed the index of ECP, the Gini coefficient of ECP, and the convergence of ECP. The results indicate that the ECP of YRB shows a steady growth trend (with an average growth rate of 4.71% yearly) and the overall differences are low (average Gini coefficient is 0.1509 from 2003 to 2019). In different areas, the Gini coefficient between the medium-stream and downstream of YRB is the largest (average value of Gini coefficient is 0.1561). From the decomposition of the overall differences of ECP, the contribution degree of the density of transvariation is the highest for annual average, with a contribution rate of 43.37%, the rate of intra-regional and the inter-regional differences are 31.86% and 24.77%, respectively. The results indicate that the overall differences of ECP in YRB are getting smaller because of cooperation and governance, but the differences between and within regions exist because of geographical feature. There is a significant spatial β convergence trend of ECP, the convergence rate in the upstream and downstream area is faster under the economic geographical matrix than others, and the rate in the medium-stream area is faster under the administrative adjacency matrix. Therefore, strengthening economic and environmental cooperation between and within regions is more beneficial to achieve a better quality of life, as well as the long-term goals of 2035.

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Section: Methodology and Datamentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China

Liu

Yang

2023

IJERPH

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“…Meanwhile, China is in a transition period from traditional agriculture to modern agriculture, and the production mode of agricultural chemicals to promote agricultural economic growth has formed a serious path dependence [6], which has caused China's agricultural source wastewater pollutant emissions (COD, TN, TP) to remain high for a long time, seriously endangering agricultural ecological security. The structural scarcity of water resources, the deterioration of the water environment, and the aggravation of water ecological risks are intertwined [7], making agricultural water resources one of the main factors restricting the sustainable development of China's agricultural economy.…”

Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Dynamic Evolution and Influencing Factors of Green Efficiency of Agricultural Water Use in the Yellow River Basin, China

Guo

Liu

et al. 2022

Water

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The progression of agricultural production, ever-increasing industrialization, population boom, and more water-concentrated lifestyles has placed a severe burden on Yellow River Basin’s existing water resources, particularly in the current century. In the context of resource and environmental constraints, improving the green efficiency of agricultural water use (AWGE) is an important measure for alleviating the shortage of water resources as well as meeting the intrinsic requirement to promote the green transformation and upgrading of agriculture. This study used the Super Slack-Based Measure (Super-SBM) to measure the AWGE of 87 regions in the Yellow River Basin from 2000 to 2019. Based on spatial and temporal perspectives, it applied Exploratory Spatial Data Analysis (ESDA) to explore the dynamic evolution and regional differences in AWGE. Then, this study used a spatial econometric model to analyze the main factors that influence AWGE in the Yellow River Basin. The results show that, firstly, the AWGE of the Yellow River Basin shows a steady upward trend from 2000 to 2019, but the differences among regions were obvious. Secondly, the AWGE showed an obvious spatial autocorrelation in the Yellow River Basin and showed significant high–high and low–low agglomeration characteristics. Thirdly, rural per capita disposable income and effective irrigation have a positive influence on AWGE, while rural labor transfer, the input intensity of agricultural machinery and water structure have a negative influence. The spatial econometric model regression results show that the influence factors of AWGE in the Yellow River Basin showed significant spatial spillover effects and spatial heterogeneity in their effect. Finally, when improving AWGE in the Yellow River Basin, plans should be formulated according to local conditions. The results of this study can provide new ideas on the study of AWGE in the Yellow River Basin and provide references for the formulation of regional agricultural water resource utilization policies as well.

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“…It severely threatens global agricultural production and food security [ 2 ]. In recent years, due to the combination of unique climatic and soil characteristics and anthropogenic activities, the water resources of the Yellow River in China are becoming increasingly scarce [ 3 , 4 ]. The Yellow River water has become an available but unreliable source of moisture; coupled with the fact that Henan Province in China is a province with high grain production capacity, the vast majority of its irrigated agricultural areas are located in the Yellow River basin, with soft geology [ 5 ], poor soil water retention capacity [ 6 ], unreasonable use of chemical fertilizers and insufficient groundwater supply, which can easily lead to soil salinization and secondary salinization [ 7 ], mainly in the following ways.…”

Section: Introductionmentioning

confidence: 99%

Effect of a Superabsorbent Polymer (Poly-Gamma-Glutamic Acid) on Water and Salt Transport in Saline Soils under the Influence of Multiple Factors

Wang

Gao

et al. 2022

Polymers

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In order to effectively suppress the negative effects of salt ions contained in saline soils on agricultural soil quality and crop growth, this study took advantage of the water-saving properties and better soil improvement properties of poly-γ-glutamic acid (γ-PGA). By carrying out various experiments, the following relationships have been found. (1) The lab experiment studies the effect of the γ-PGA application on the infiltration of sandy loam soil. The application rates of γ-PGA are 0%, 0.1%, 0.2%, and 0.3%, respectively. (2) HYDRUS-1D is used to simulate water infiltration of sandy loam soil under multiple factors (bulk density, γ-PGA application rate, and the application depth of γ-PGA). (3) The effect of γ-PGA on soil solute (Cl−) transport is also explored in this paper. The results show that bulk density and the application depth of γ-PGA (p < 0.01) have higher effects on cumulative infiltration than the application amount of γ-PGA (p < 0.05). A lower γ-PGA application rate will increase the proportion of unavailable soil water by 3%. The established empirical models have good results. Furthermore, when the γ-PGA application rate is 0.3% (0.02-cm2 min−1), the Cl− hydrodynamic dispersion coefficient is the highest. The study recommends applying the γ-PGA at 1.4 g cm−3, 5–20 cm, and 0.2%. The results of this study are conducive to an in-depth understanding of the physicochemical properties of poly-γ-glutamic acid, improving the utilization rate of salinized land, achieving agricultural water and fertilizer conservation and yield enhancement, and guaranteeing sustainable land use and sustainable development of agroecological environment.

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Drivers of the irrigation water rebound effect: A case study of Hetao irrigation district in Yellow River basin, China

Cited by 17 publications

References 45 publications

Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China

Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China

Spatial–Temporal Dynamic Evolution and Influencing Factors of Green Efficiency of Agricultural Water Use in the Yellow River Basin, China

Effect of a Superabsorbent Polymer (Poly-Gamma-Glutamic Acid) on Water and Salt Transport in Saline Soils under the Influence of Multiple Factors

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