首页|基于平原区野外观测的土壤水分特征曲线推求与应用

基于平原区野外观测的土壤水分特征曲线推求与应用

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为研究湿润平原区非饱和带土壤水分特征曲线以及土壤水分运动规律,探究其对区域水循环过程的影响,本研究在我国太湖流域平原区金坛野外试验基地进行了降雨量、蒸发量、土壤含水量、水势、地下水埋深等连续监测.基于水文数据深入分析了土壤水动态变化,结果表明地表以下0~0.4 m深度的土层是土壤水分变化最频繁剧烈的地带.采用VG模型反演出基于野外实测数据的土壤水分特征曲线(SWCC)参数并与实验室得到结果相对比,并利用反演得到的土壤水分特征曲线对典型降水事件进行数值模拟.研究表明基于野外数据的土壤水运动模拟效果更优,较好地验证了野外观测曲线模型的精度与可靠性,为太湖流域平原区土壤水运动和产流计算提供了可靠的理论依据.
Calculation and Application of Soil Moisture Characteristic Curves Based on Field Observations in Plain Areas
In order to study the soil water characteristic curve and soil water movement law in the unsaturated zone of the humid plain area,and explore its impact on the regional water cycle process.The study monitored rainfall,evaporation,soil water con-tent,soil water potential,and groundwater depth in the Jintan field test in the plain area of the Taihu Basin,and obtained con-tinuous long series of hydrological data.Based on hydrological data,the dynamic changes of soil water were deeply analyzed in depth,and the results showed that the soil layer at a depth of 0-0.4 m below the surface was the zone with the most frequent and drastic in soil water.Using the VG model,the soil moisture characteristic curve(SWCC)parameters based on field measured data were numerically inverted and compared with the results obtained in the laboratory.The retrieved SWCC was used to numeri-cally simulate typical precipitation events.The research shows that the effect of soil water movement simulation based on field data is better,which better verifies the accuracy and reliability of the field observation curve model,and provides a reliable theo-retical basis for the calculation of soil movement and runoff yield in the plain area of the Taihu basin.

plain areaunsaturated zonesoil water characteristic curvenumerical inversionsoil water movement simulation

陈钢、张娉楠、王小锋、王船海、李宥霖、俞悦、翟月

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河海大学水文水资源与水利工程科学国家重点实验室,江苏 南京 210098

河海大学水文水资源学院,江苏 南京 210098

雅砻江流域水电开发有限公司,四川成都 610051

南京慧水软件科技有限公司,江苏 南京 210036

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平原区 非饱和带 土壤水分特征曲线 数值反演 土壤水运动模拟

国家重点研发计划国家自然科学基金-联合基金江苏省水利科技项目水安全与水科学协同创新中心揭榜挂帅项目

2021YFC3000104U22402092022003B2106017

2023

水文
水利部水文局 水利部水利信息中心

水文

CSTPCDCSCD北大核心
影响因子:0.742
ISSN:1000-0852
年,卷(期):2023.43(6)
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