北京大学流域科学实验室（PKUWSL）

Optimization and multi-uncertainty analysis of best management practices at the watershed scale: A reliability-level based bayesian network approach

Li JC, Hu MC, Ma WJ, Liu Y, Dong FF*, Zou R,Chen YH. Journal of Environmental Management. 2023. 313:117280.

Uncovering the spatially uneven synergistic effects of China enterprise level industrial water pollutants reduction

Li JC, Jiang QS, Cai KK, Fu JX, Liu Y, Chen DN, Liu XY, Dai HC, Chen YH, Chen Y. 2022. Resources, Conservation & Recycling, 106811

Understanding robustness in multiscale nutrient abatement: Probabilistic simulation-optimization using Bayesian network emulators

Dong FF, Li JC, Dai C, Niu J, Chen Y*, Huang JC, Liu Y*. 2022. Journal of Cleaner Production, 134394.

A high-resolution nutrient emission inventory for hotspot identification in the Yangtze River Basin

Li JC, Chen Y, Cai KK, Fu JX, Tang T*, Chen YH, Folberth C, Liu Y*. 2022. Journal of Environmental Management, 2022, 321: 115847.

Imbalance of global nutrient cycles exacerbated by the greater retention of phosphorus over nitrogen in lakes

Zhen Wu, Jincheng Li, Yanxin Sun, Josep Peñuelas, Jilin Huang, Jordi Sardans, Qingsong Jiang, Jacques C. Finlay, Gregory L. Britten, Michael J. Follows, Wei Gao, Boqiang Qin, Jinren Ni, Shouliang Huo & Yong Liu. 2022. Nature Geoscience

Optimization and multi-uncertainty analysis of best management practices at the watershed scale: A reliability-level based bayesian network approach

Uncovering the spatially uneven synergistic effects of China enterprise level industrial water pollutants reduction

Understanding robustness in multiscale nutrient abatement: Probabilistic simulation-optimization using Bayesian network emulators

A high-resolution nutrient emission inventory for hotspot identification in the Yangtze River Basin

Imbalance of global nutrient cycles exacerbated by the greater retention of phosphorus over nitrogen in lakes

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