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Quantifying the impacts of agricultural alteration and climate change on the water cycle dynamics in a headwater catchment of Lake Urmia Basin

Rahmani, J ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.agwat.2022.107749
  3. Publisher: Elsevier B.V , 2022
  4. Abstract:
  5. The rapid shrinkage of Lake Urmia over the past two decades has raised serious environmental concerns. Several restoration plans have been proposed to reduce agricultural water consumption to supply a remarkable fraction of the lake's environmental flow requirement. However, an accurate and realistic evaluation of the effectiveness of these plans in reducing agricultural water consumption across the basin is still poorly understood. This study assessed the water-saving potential of agricultural alteration in a snow-dominated catchment in the Lake Urmia Basin. In particular, we explored the impact of crop pattern alteration via reducing the cultivation area and employing different irrigation systems. We further studied the degree of extra stress on the agricultural water demand under the future trends of air temperature and precipitation due to climate change. To this end, we developed a three-dimensional physically-based hydrological model that simulated the main processes involved in the water and energy cycles. In this setting, a surface-groundwater model was coupled to a land-surface model that integratively computed the spatiotemporal variability of evapotranspiration, snowmelt, groundwater, and soil moisture in the root zone, among other processes. Pumping from wells and different irrigation systems were also included in the model. The results showed that a reduction in the cultivation area does not necessarily lead to a significant saving in the total water loss due to evapotranspiration, which strongly depends on the trade-off between the decrease in transpiration and the increase in soil evaporation. We further found that saving in agricultural water consumption is partly controlled by topography and the vertical distribution of soil moisture. Also, the drip irrigation system showed lower evapotranspiration rates than the spray irrigation system. Finally, the study of the future impacts of climate change revealed that the agriculture sector would be under more intensive stress, which poses a severe threat to the long-term restoration of Lake Urmia if effective agricultural management practices are not taken into consideration. The findings of this study highlight important issues for the Lake Urmia restoration plans on agricultural water management. Given the fragility of the lake ecosystem, this study suggests a reliable modeling framework for water and agricultural managers to identify the most appropriate regions in the basin that would yield the highest saving in agricultural water consumption by improving the current crop patterns and irrigation systems. © 2022 Elsevier B.V
  6. Keywords:
  7. Irrigation ; Land-surface modeling ; Catchments ; Crops ; Economic and social effects ; Ecosystems ; Groundwater ; Lakes ; Restoration ; Runoff ; Surface measurement ; Topography ; Water conservation ; Water management ; Water supply ; Agricultural water ; Agricultural water consumption ; Crop pattern ; Environmental concerns ; Headwater catchment ; Irrigation systems ; Lake urmia ; Land surface models ; Water consumption ; Water cycle ; Agricultural management ; Air temperature ; Catchment ; Climate change ; Crop plant ; Cultivation ; Drip irrigation ; Evapotranspiration ; Headwater ; Hydrological cycle ; Hydrological modeling ; Land surface ; Soil moisture ; Trade-off ; Vertical distribution ; Water demand ; Iran
  8. Source: Agricultural Water Management ; Volume 270 , 2022 ; 03783774 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0378377422002967