徐丹,王海鹏,董建华,曾文治,敖畅,刘小刚,黄介生.SWAT模型在克孜河流域适用性探究[J].干旱地区农业研究,2026,(3):296~304
SWAT模型在克孜河流域适用性探究
Assessment of the applicability of the SWAT model in the Kezi River Basin
  
DOI：10.7606/j.issn.1000-7601.2026.03.28
中文关键词:  SWAT模型  空间分布  区域尺度  克孜河流域
英文关键词:SWAT model  spatial distribution  regional scale  Kezi River Basin
基金项目:国家自然科学基金（52509058）；云南省基础研究计划项目（202501AU070140，202501CF070203，202501AT070889）；云南省教育厅科学研究基金（2025J0091）；四川省区域创新合作项目（2026YFHZ0094）
作者单位
徐丹 昆明理工大学现代农业工程学院,云南 昆明 650500；云南省农业水资源高效利用与智慧管控重点实验室,云南 昆明 650500；云南省智能农业工程技术与装备国际联合实验室,云南 昆明 650500； 云南省智能水肥药一体化技术与装备创新团队,云南 昆明 650500 
王海鹏 昆明理工大学现代农业工程学院,云南 昆明 650500；云南省农业水资源高效利用与智慧管控重点实验室,云南 昆明 650500 
董建华 昆明理工大学现代农业工程学院,云南 昆明 650500；云南省农业水资源高效利用与智慧管控重点实验室,云南 昆明 650500 
曾文治 河海大学农业科学与工程学院,江苏 南京 211100 
敖畅 河海大学农业科学与工程学院,江苏 南京 211100 
刘小刚 昆明理工大学现代农业工程学院,云南 昆明 650500；云南省农业水资源高效利用与智慧管控重点实验室,云南 昆明 650500 
黄介生 武汉大学水资源工程与调度全国重点实验室,湖北 武汉 430072 
摘要点击次数: 267
全文下载次数: 13
中文摘要:
      为揭示新疆干旱盐渍化农业灌区复杂水文过程及其空间分异特征，以克孜河流域伽师县灌区为对象，构建考虑灌溉制度、冬灌/春灌淋洗及主要作物种植管理措施的SWAT模型，采用径流与作物产量进行多目标率定与验证，并揭示灌区不同水文过程水量空间分布规律。结果表明：经过对SWAT模型中13个最敏感参数的率定和验证后，模型对径流过程、棉花以及冬小麦产量均表现出良好的模拟效果，决定系数分别为0.95、0.61和0.65；百分比偏差分别为1.36%、-3.06%和-8.09%。各子流域不同水文组分空间差异明显，渗漏、地表径流、地下水、侧向流的最大水量贡献分别为340.97、51.75、313.56、7.99 mm。其中土壤渗漏量由克孜河向南北方向逐渐减少，地表径流由北向南逐渐降低，地下水和侧向流贡献较大区域主要集中在流域周边耕地区域。综上，SWAT模型不仅适用于克孜河流域农业灌区径流与作物产量模拟，而且能够较好地刻画干旱灌区不同水文过程的空间分异规律，可为类似地区农业水资源管理与盐渍化防控提供方法参考。
英文摘要:
      To reveal the complex hydrological processes and their spatial heterogeneity in arid saline agricultural irrigation districts of Xinjiang, this study selected the Jiashi irrigation district in the Kezi River Basin as the study area and established a SWAT model incorporating irrigation schedules, winter/spring salt\|leaching practices, and major crop management measures. Runoff and crop yield data were used for multi\|objective calibration and validation, and the spatial distribution of different hydrological components within the irrigation district was further analyzed. The results showed that, after calibration and validation of the 13 most sensitive parameters in the SWAT model, the model demonstrated good simulation performance for runoff, cotton yield, and winter wheat yield, with coefficients of determination of 0.95, 0.61, and 0.65, respectively; and percentage biases of 1.36%, -3.06%, and -8.09%, respectively. Regarding the spatial distribution of hydrological components across sub\|basins, the maximum contributions of percolation, surface runoff, groundwater, and lateral flow were 340.97 mm, 51.75 mm, 313.56 mm, and 7.99 mm, respectively. Percolation generally decreased from the Kezi River toward both the northern and southern parts of the basin, surface runoff showed a decreasing trend from north to south, and higher contributions of groundwater and lateral flow were mainly concentrated in cultivated lands surrounding the basin. In conclusion, the SWAT model is applicable not only for runoff and crop yield simulation in agricultural irrigation districts of the Kezi River Basin, but also for characterizing the spatial heterogeneity of hydrological processes in arid irrigation areas. The study provides methodological support for agricultural water resources management and salinity control in similar regions.
查看全文  查看/发表评论  下载PDF阅读器