A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

SHANG Songhao; MAO Xiaomin

doi:10.1007/s11769-014-0676-3

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

doi: 10.1007/s11769-014-0676-3

SHANG Songhao^1,,
MAO Xiaomin²

1.
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
2.
College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China

基金项目: Under the auspices of National Natural Science Foundation of China (No. 51279077, 91125017)

详细信息

通讯作者:
SHANG Songhao

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

SHANG Songhao^1
,,
MAO Xiaomin²

1.
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
2.
College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China

Funds: Under the auspices of National Natural Science Foundation of China (No. 51279077, 91125017)

More Information

Corresponding author: SHANG Songhao

摘要: To simulate the soil moisture variation in cropland, a two-parameter exponential recession model was derived to depict the recession process of soil moisture in the root zone. The model is based on the assumption that the recession rate of soil water is proportional to the potential evapotranspiration rate and the difference of soil water content and steady soil water content. Two parameters in this model are soil texture-dependent recession constant and steady soil water content. The model was calibrated and validated with measured soil water data at two experiment sites in North China with different soil textures and cropping systems. Coefficients of determination between measured and model simulated soil water content were all greater than 0.7, indicating that both models gave satisfactory simulation results. Results showed that values of two parameters mentioned above are both larger for finer soil than those for coarser soil. At the same potential evapotranspiration rate and soil water content, the recession rate of finer soil is usually lower than that of coarser soil. The proposed model can be used in irrigation management to predict approximate date for irrigation, as well as be embedded into watershed hydrological models to estimate the antecedent precipitation index.
- soil water content /
- recession process /
- recession coefficient /
- potential evapotranspiration /
- soil texture /
- cropland
Abstract: To simulate the soil moisture variation in cropland, a two-parameter exponential recession model was derived to depict the recession process of soil moisture in the root zone. The model is based on the assumption that the recession rate of soil water is proportional to the potential evapotranspiration rate and the difference of soil water content and steady soil water content. Two parameters in this model are soil texture-dependent recession constant and steady soil water content. The model was calibrated and validated with measured soil water data at two experiment sites in North China with different soil textures and cropping systems. Coefficients of determination between measured and model simulated soil water content were all greater than 0.7, indicating that both models gave satisfactory simulation results. Results showed that values of two parameters mentioned above are both larger for finer soil than those for coarser soil. At the same potential evapotranspiration rate and soil water content, the recession rate of finer soil is usually lower than that of coarser soil. The proposed model can be used in irrigation management to predict approximate date for irrigation, as well as be embedded into watershed hydrological models to estimate the antecedent precipitation index.
- soil water content /
- recession process /
- recession coefficient /
- potential evapotranspiration /
- soil texture /
- cropland

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A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

doi: 10.1007/s11769-014-0676-3

通讯作者:
SHANG Songhao

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

Corresponding author: SHANG Songhao

计量

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

doi: 10.1007/s11769-014-0676-3

1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;

2. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China

通讯作者: SHANG Songhao

English Abstract

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;

2. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China

Corresponding author: SHANG Songhao

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目录

留言板

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

doi: 10.1007/s11769-014-0676-3

通讯作者: SHANG Songhao

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

Corresponding author: SHANG Songhao

计量

出版历程

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

doi: 10.1007/s11769-014-0676-3

1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China; 2. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China

通讯作者: SHANG Songhao

English Abstract

A Two-parameter Exponential Recession Model for Simulating Cropland Soil Moisture Dynamics

1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China; 2. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China

Corresponding author: SHANG Songhao

全文HTML

目录

通讯作者:
SHANG Songhao

1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;

2. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China

1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;

2. College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China