<p>Agricultural water consumption accounts for more than 90% of water resources in Central Asia (CA). However, notable uncertainties remain regarding future variations in both net irrigation water demand (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{net}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>net</mtext> </msub> </math></EquationSource> </InlineEquation>, mm) and actual irrigation water demand (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{actual}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>actual</mtext> </msub> </math></EquationSource> </InlineEquation>, m<sup>3</sup>) for major crops, as well as the underlying drivers of these changes. These uncertainties pose significant challenges for sustainable water management practices in the region. This paper investigates future changes in <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{net}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>net</mtext> </msub> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{actual}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>actual</mtext> </msub> </math></EquationSource> </InlineEquation> for four primary crops: corn, cotton, rice, and winter wheat. Using the partial derivative method, we analyze the factors contributing to these changes. The results indicate that <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{net}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>net</mtext> </msub> </math></EquationSource> </InlineEquation> for corn, cotton, and rice is expected to increase by 20–40%, 5–20%, and 5–20%, respectively, primarily due to rising vapor pressure deficit (VPD). Conversely, <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{net}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>net</mtext> </msub> </math></EquationSource> </InlineEquation> for winter wheat is projected to decrease, particularly under the SSP126 scenario, due to an increase in effective precipitation (<InlineEquation ID="IEq7"> <EquationSource Format="TEX">\({\text{P}}_{\text{eff}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>P</mtext> <mtext>eff</mtext> </msub> </math></EquationSource> </InlineEquation>). In terms of <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{actual}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>actual</mtext> </msub> </math></EquationSource> </InlineEquation>, the dominant influencing factor is the crop-planted area, with winter wheat showing a significant decrease in <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\({\text{IWD}}_{\text{actual}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mtext>IWD</mtext> <mtext>actual</mtext> </msub> </math></EquationSource> </InlineEquation>. Understanding these dynamics is crucial for effective agricultural water resources management in CA. This knowledge will support the development of strategies to ensure sustainable water use in the region.</p>

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Changes and attribution of irrigation water demand in Central Asia

  • Shijia Wang,
  • Jing Tian,
  • Yongqiang Zhang,
  • Xuanze Zhang,
  • Haoshan Wei,
  • Ping Miao,
  • Hongli Ma,
  • Xian Wang,
  • Zixuan Tang

摘要

Agricultural water consumption accounts for more than 90% of water resources in Central Asia (CA). However, notable uncertainties remain regarding future variations in both net irrigation water demand ( \({\text{IWD}}_{\text{net}}\) IWD net , mm) and actual irrigation water demand ( \({\text{IWD}}_{\text{actual}}\) IWD actual , m3) for major crops, as well as the underlying drivers of these changes. These uncertainties pose significant challenges for sustainable water management practices in the region. This paper investigates future changes in \({\text{IWD}}_{\text{net}}\) IWD net and \({\text{IWD}}_{\text{actual}}\) IWD actual for four primary crops: corn, cotton, rice, and winter wheat. Using the partial derivative method, we analyze the factors contributing to these changes. The results indicate that \({\text{IWD}}_{\text{net}}\) IWD net for corn, cotton, and rice is expected to increase by 20–40%, 5–20%, and 5–20%, respectively, primarily due to rising vapor pressure deficit (VPD). Conversely, \({\text{IWD}}_{\text{net}}\) IWD net for winter wheat is projected to decrease, particularly under the SSP126 scenario, due to an increase in effective precipitation ( \({\text{P}}_{\text{eff}}\) P eff ). In terms of \({\text{IWD}}_{\text{actual}}\) IWD actual , the dominant influencing factor is the crop-planted area, with winter wheat showing a significant decrease in \({\text{IWD}}_{\text{actual}}\) IWD actual . Understanding these dynamics is crucial for effective agricultural water resources management in CA. This knowledge will support the development of strategies to ensure sustainable water use in the region.