Search Results - "Yan, Xueman"

Uncertainty quantization of meteorological input and model parameters for hydrological modelling using a Bayesian‐based integrated approach by Yan, Xueman, Song, Jinxi, An, Yongkai, Lu, Wenxi

“…The traditional treatment of uncertainty in hydrological modelling primarily attributes it to model parameters, but rarely systematically considers…”
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Development of a multi-level factorial data assimilation approach for groundwater contaminant sources identification by Yan, Xueman, An, Yongkai, Lu, Wenxi

“…•A novel approach is developed for groundwater contaminant sources identification.•The approach integrates ensemble Kalman filtering and multi-level factorial…”
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Assessment of parameter uncertainty for non-point source pollution mechanism modeling: A Bayesian-based approach by Xueman, Yan, Wenxi, Lu, Yongkai, An, Weihong, Dong

“…Uncertainty assessment of parameters associated with non-point source pollution mechanism modeling are crucial for improving the effectiveness of pollution…”
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An improved Bayesian approach linked to a surrogate model for identifying groundwater pollution sources by An, Yongkai, Yan, Xueman, Lu, Wenxi, Qian, Hui, Zhang, Zaiyong

“…Groundwater pollution source identification (GPSI) provides information about the temporal and spatial distribution of pollution sources and helps decision…”
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Application of a Bayesian-Based Integrated Approach for Groundwater Contamination Sources Parameter Identification Considering Observation Error by Yan, Xueman, An, Yongkai

“…Groundwater contamination source (GCS) parameter identification can help with controlling groundwater contamination. It is proverbial that groundwater…”
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A surrogate-based simulation–optimization approach application to parameters’ identification for the HydroGeoSphere model by An, Yongkai, Lu, Wenxi, Yan, Xueman

“…A systematic approach is needed to use water more productively, because water shortages limit socio-economic development in many parts of the world. The aim of…”
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Uncertainty analysis of parameters in non‐point source pollution simulation: case study of the application of the Soil and Water Assessment Tool model to Yitong River watershed in northeast China by Yan, Xueman, Lu, Wenxi, An, Yongkai, Chang, Zhenbo

“…Uncertainty analysis of the model parameters in non‐point source pollution (NPSP) simulation is important because of its great effects on predictions and…”
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An Integrated Bayesian and Machine Learning Approach Application to Identification of Groundwater Contamination Source Parameters by An, Yongkai, Zhang, Yanxiang, Yan, Xueman

“…The identification of groundwater contamination source parameters is an important prerequisite for the control and risk assessment of groundwater…”
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Assessment and validation of confined aquifer vulnerability based on the VEBHAT method: a case study in Heilongjiang Province, northeastern China by Yan, Xueman, Dong, Weihong, Li, Ruopu, Cui, Longyu, Zhu, Guilin

“…Groundwater vulnerability assessment is an effective tool for groundwater pollution prevention and control. However, very few methods are available to address…”
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A Bayesian-based integrated approach for identifying groundwater contamination sources by Yan, Xueman, Dong, Weihong, An, Yongkai, Lu, Wenxi

“…•An integrated approach is proposed to identify groundwater contamination sources.•An optimal sampling location design is conducted prior to…”
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