Articles | Volume 20, issue 16
https://doi.org/10.5194/bg-20-3555-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-3555-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Enabling a process-oriented hydro-biogeochemical model to simulate soil erosion and nutrient losses
Siqi Li
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Institute of Carbon Neutrality, Qilu Zhongke, Jinan 251699, China
State Environmental Protection Key Laboratory of Formation and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environment
Sciences, Shanghai 200233, China
Bo Zhu
Institute of Mountain Hazards and Environment, Chinese Academy of
Sciences, Chengdu 610041, China
Xunhua Zheng
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
College of Earth and Planetary Science, University of Chinese
Academy of Sciences, Beijing 100049, China
Pengcheng Hu
Institute of Mountain Hazards and Environment, Chinese Academy of
Sciences, Chengdu 610041, China
Shenghui Han
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Jihui Fan
Institute of Mountain Hazards and Environment, Chinese Academy of
Sciences, Chengdu 610041, China
Tao Wang
Institute of Mountain Hazards and Environment, Chinese Academy of
Sciences, Chengdu 610041, China
Rui Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Kai Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Zhisheng Yao
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Chunyan Liu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Wei Zhang
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Yong Li
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
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Cited
7 citations as recorded by crossref.
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. https://doi.org/10.1080/20964471.2024.2325019
- Shifting soil N regimes over a 70-year chronosequence of wetland reclamation and restoration K. Li et al. https://doi.org/10.1016/j.catena.2025.108727
- Modelling forest-atmosphere exchanges of carbon and water using an improved hydro-biogeochemical model in subtropical and temperate monsoon climates W. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2025.111174
- Inventorying national direct emissions of ammonia, nitrogen oxides and nitrous oxide from managed soils using process modelling-based Tier 3 methodology S. Li et al. https://doi.org/10.1016/j.accre.2026.08.009
- Quantifying nitrogen loss responses to seasonal deluges and droughts: A modeling study in a subtropical agro-forest catchment, upper Yangtze River W. Zhang et al. https://doi.org/10.1016/j.ecohyd.2025.100706
- Impacts of freeze-thaw cycles on soil aggregate stability and phosphorus occurrence under different land uses Y. Cheng et al. https://doi.org/10.1016/j.still.2026.107177
- Greenhouse Gas Footprints of Maize Cultivation Systems in Different Climate Zones: Field Data Validation and Application of CNMM–DNDC as a Hydro-Biogeochemical Model S. Li et al. https://doi.org/10.1007/s00376-025-4420-y
7 citations as recorded by crossref.
- Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. https://doi.org/10.1080/20964471.2024.2325019
- Shifting soil N regimes over a 70-year chronosequence of wetland reclamation and restoration K. Li et al. https://doi.org/10.1016/j.catena.2025.108727
- Modelling forest-atmosphere exchanges of carbon and water using an improved hydro-biogeochemical model in subtropical and temperate monsoon climates W. Zhang et al. https://doi.org/10.1016/j.ecolmodel.2025.111174
- Inventorying national direct emissions of ammonia, nitrogen oxides and nitrous oxide from managed soils using process modelling-based Tier 3 methodology S. Li et al. https://doi.org/10.1016/j.accre.2026.08.009
- Quantifying nitrogen loss responses to seasonal deluges and droughts: A modeling study in a subtropical agro-forest catchment, upper Yangtze River W. Zhang et al. https://doi.org/10.1016/j.ecohyd.2025.100706
- Impacts of freeze-thaw cycles on soil aggregate stability and phosphorus occurrence under different land uses Y. Cheng et al. https://doi.org/10.1016/j.still.2026.107177
- Greenhouse Gas Footprints of Maize Cultivation Systems in Different Climate Zones: Field Data Validation and Application of CNMM–DNDC as a Hydro-Biogeochemical Model S. Li et al. https://doi.org/10.1007/s00376-025-4420-y
Saved (final revised paper)
Latest update: 07 Sep 2026
Short summary
Physical soil erosion and particulate carbon, nitrogen and phosphorus loss modules were incorporated into the process-oriented hydro-biogeochemical model CNMM-DNDC to realize the accurate simulation of water-induced erosion and subsequent particulate nutrient losses at high spatiotemporal resolution.
Physical soil erosion and particulate carbon, nitrogen and phosphorus loss modules were...
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