Quantifying the spatial water salinity threshold of saline water irrigation by applying distributed WAVES model

被引:0
|
作者
Yu, Qihua [1 ,2 ,3 ]
Wang, Feng [4 ]
Zou, Minzhong [1 ,2 ,3 ]
Ji, Shasha [1 ,2 ,3 ]
Li, Mingfa [5 ]
Kang, Shaozhong [1 ,2 ,3 ]
机构
[1] State Key Lab Efficient Utilizat Agr Water Resourc, Beijing 100083, Peoples R China
[2] Natl Field Sci Observat & Res Stn Efficient Water, Wuwei 733009, Peoples R China
[3] China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China
[4] Yellow River Conservancy Tech Inst, Dept Hydraul Engn, Kaifeng 475000, Peoples R China
[5] Xinjiang Prod & Construction Corps, Div Water Saving & Irrigat Test Stn 1, Alaer 843300, Peoples R China
关键词
Distributed WAVES model; Yield; Cotton; Irrigation water salinity threshold; Tarim irrigation district; DRIP IRRIGATION; SOIL-SALINITY; COTTON GROWTH; QUALITY; YIELD; GROUNDWATER; IMPACT; PRODUCTIVITY; SIMULATIONS; MANAGEMENT;
D O I
10.1016/j.agsy.2023.103839
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
CONTEXT: Saline water irrigation presents a viable solution to alleviate freshwater scarcity. However, it's crucial to consider the threshold of salinity, as excessive levels can adversely affect crop yield, crop productivity and soil sustainability. Additionally, due to varying surface conditions and management practices at the regional level, a distributed approach to saline water irrigation management is necessary. OBJECTIVE: The primary goal of this research was to develop a regional agro-hydrological crop model. The validated regional model was then employed to identify the spatial water salinity threshold for saline water irrigation. METHODS: In this research, we utilized the WAVES (WAter Vegetation Energy and Solute model), which was adapted for mulching environment and validated in severely arid and saline fields. To account for spatial variations, we applied a distributed method to upscale the WAVES to the regional level. Multisource and multiscale data were used for regional model validation. Different scenarios of salinity levels for saline water irrigation were simulated, and a comprehensive criterion to determine water salinity threshold was proposed considering cotton yield, water productivity and soil salt accumulation. RESULTS AND CONCLUSIONS: Model evaluation indicated a high level of accuracy for the developed regional model. The comparison between simulated and measured values for soil salt content, soil water content, cotton leaf area index, measured lint yield, and statistical yield resulted in indices of agreement of 0.90, 0.71, 0.93, 0.58, and 0.70, respectively. The validated regional model was employed to simulate various saline water irrigation scenarios. The findings revealed that under identical irrigation water salinity, cotton cultivation on sandy loam soil is more productive but has a larger yield reduction percentage compared to silty loam soil. Moreover, the research indicates a groundwater depth of 1.5 m is associated with higher cotton production. Additionally, a spatial pattern of the irrigation water salinity threshold for saline water irrigation was determined, suggesting that the water salinity in most areas of the Tarim Irrigation District should not exceed 6 g L-1. Notably, in the current practice of pumping groundwater in situ for irrigation, approximately 46% of the areas are at risk, indicating that it's not suitable for saline water irrigation. SIGNIFICANCE: This study developed a distributed model under a typical irrigation district characterized by mulching, severe drought and salinization and defined the distributed spatial threshold for saline water irrigation. These research results hold significant implications for guiding regional -scale saline water irrigation and groundwater extraction.
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页数:12
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