Prediction of unsaturated soil moisture content based on chaos theory
To address the problem of difficulty in obtaining soil moisture content data in no data areas,we proposed a combina-tion scheme based on satellite inversion,phase space reconstruction,and unsaturated infiltration calculation.Based on the soil moisture content of the 110-day surface layer in the study area,the distribution law of soil moisture content of the surface layer and internal part in the next 100-day no data period was predicted.The calculation results show that the time series of soil mois-ture content in the study area has chaotic characteristics,which can be topologically stretched to a phase space with embedding di-mension m of 5 and delay τ of 10.The minimum relative error of the soil surface moisture content predicted by this phase space during the validation period is0.7%,the maximum relative error is2.4%,the minimum relative error during the prediction peri-od is 2.2%,and the maximum relative error is 8.3%,all of which meet the engineering requirements.Therefore,it is used as the boundary condition for subsequent unsaturated infiltration calculation,and the result is realistic and effective.Compared with tradi-tional studies,the prediction scheme proposed in this paper has dynamical characteristics and physical-mechanical meanings,which can provide a new reference for soil moisture content estimation in no data areas.
soil moisture contentunsaturated infiltrationphase space reconstructionchaos theoryRichards equationunsaturated soil
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维普
