Using Sobol’ sensitivity analysis to identify important model layers of a prediction model for simulating soil nitrogen transport in surface runoff and subsurface water

Due to complex soil conditions of farmlands, a model simulating soil nitrogen transport in surface runoff and subsurface water is subject to uncertainty not only in model parameters but also in representation of soil layers in model layers. This study presents a model of nitrogen transport with the...

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Veröffentlicht in:	Stochastic environmental research and risk assessment Jg. 39; H. 2; S. 747 - 763
Hauptverfasser:	Zhang, Shiwei, Tong, Juxiu, Ye, Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2025 Springer Nature B.V
Schlagworte:	Agricultural land Agricultural runoff Ammonia Aquatic Pollution Chemistry and Earth Sciences Computational Intelligence Computer Science Earth and Environmental Science Earth Sciences Environment Math. Appl. in Environmental Science Nitrates Nitrogen Nonpoint source pollution Original Paper Parameter identification Parameter sensitivity Parameter uncertainty Physics Pollution dispersion Pollution sources Ponding Prediction models Probability Theory and Stochastic Processes Runoff Sensitivity analysis Soil analysis Soil conditions Soil improvement Soil layers Soil mixing Soil pollution Soil surfaces Soils Statistics for Engineering Subsurface water Surface runoff Surface water Uncertainty analysis Urea Waste Water Technology Water Management Water Pollution Control Sobol GSA HYDRUS-1D Model parameter The prediction model of soil nitrogen transport
ISSN:	1436-3240, 1436-3259
Online-Zugang:	Volltext
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