Abstract
Jiaying Zhu, Shuangyun Peng, Zhiqiang Lin, Juexian Dong, Ziyi Zhu, Xianchun Pan, WeiHang Wang, Yezhou Xiang, Fapeng Cai
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Evaluating the joint effects of climate and land use change on runoff and pollutant loading in a rapidly developing watershed
10.1016/j.jclepro.2021.129953 · 2022
Exploring the power of eXtreme gradient boosting algorithm in machine learning: A review
10.25007/ajnu.v12n2a1612 · 2023
An intensity gradient of extreme rainfall governs nitrogen and phosphorus losses from contour ridge systems in the rocky mountain region of Northern China
10.1016/j.agwat.2026.110169 · 2026
Effects of vegetation patterns on soil nitrogen and phosphorus losses on the slope-gully system of the Loess Plateau
10.1016/j.jenvman.2022.116288 · 2022
The interactive effects of excess reactive nitrogen and climate change on aquatic ecosystems and water resources of the United States
10.1007/s10533-012-9788-y · 2013
The response of non-point source pollution to land use changes based on the SWAT and PLUS models in an agricultural river basin of Yangtze River, China
2025
Extreme precipitation reshapes nutrient flows and balance in North America's largest river basin
10.1126/sciadv.aea3260 · 2026
Direct and indirect impact assessments of climate changes and human activities on runoff changes in 31 source catchments of Yellow River Basin, China
10.1016/j.jhydrol.2026.134974 · 2026
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
Data-driven Assessment of Nitrogen and Phosphorus Buffering Capacity across 460 Chinese Watersheds: Spatial Patterns, Drivers, and Future Projections
10.1016/j.watres.2026.125424 · 2026
High-frequency monitoring reveals rainfall-driven phosphorus and nitrogen concentration–discharge patterns and associated mechanisms
10.1016/j.jhydrol.2026.135151 · 2026
Impact of climate change on catchment nutrient dynamics: insights from around the world
10.1139/er-2021-0109 · 2022
A neural network boosting regression model based on XGBoost
10.1016/j.asoc.2022.109067 · 2022
Spatiotemporal changes in water ecosystem services in Yongping County, Dali Prefecture based on the InVEST model
2021
Identifying critical source areas of non-point source pollution to enhance water quality: Integrated SWAT modeling and multi-variable statistical analysis to reveal key variables and thresholds
10.1016/j.watres.2024.121286 · 2024
Coupled effects of biogeochemical and hydrological processes on C, N, and P export during extreme rainfall events in a purple soil watershed in southwestern China
10.1016/j.jhydrol.2014.02.005 · 2014
Assessment of water purification services in the Pearl River Basin of Guizhou Province based on the InVEST model
2016
Synergetic impact of climate and vegetation cover on runoff, sediment, and nitrogen and phosphorus losses in the Jialing River Basin
2022
Landscape dynamics facilitated non-point source pollution control and regional water security of the Three Gorges Reservoir area
2022
A cellular automata model coupled with partitioning CNN-LSTM and PLUS models for urban land change simulation
10.1016/j.jenvman.2023.119828 · 2024
Spatiotemporal differentiation of water purification services based on the InVEST model
2022
Urbanization and agriculture intensification jointly enlarge the spatial inequality of river water quality
10.1016/j.scitotenv.2023.162559 · 2023
River water quality shaped by land–river connectivity in a changing climate
10.1038/s41558-023-01923-x · 2024
Shapley value: from cooperative game to explainable artificial intelligence
10.1007/s43684-023-00060-8 · 2024
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
10.1016/j.compenvurbsys.2020.101569 · 2021
Projections of land use changes under the plant functional type classification in different SSP-RCP scenarios in China
10.1016/j.scib.2020.07.014 · 2020
Coupled InVEST-GTWR modeling reveals scale-dependent drivers of N and P export in a Chinese mountainous region
2025
Driving forces of nitrogen cycling and the climate feedback loops in the Yarlung Tsangpo River Basin, the highest-altitude large river basin in the world
10.1016/j.jhydrol.2022.127974 · 2022
Using a nitrogen‑phosphorus ratio to identify phosphorus risk factors and their spatial heterogeneity in an intensive agricultural area
10.1016/j.catena.2016.10.022 · 2017
Influence path identification of topography, soil, hydrology and landscape on phosphorus buffering capacity in typical agricultural catchments in central subtropical China
10.1016/j.jenvman.2022.115164 · 2022
Comparison of different statistical downscaling methods for climate change rainfall projections over the Lake Victoria basin considering CMIP3 and CMIP5
10.1016/j.jher.2016.03.001 · 2016
Ecosystem services response to urbanization in metropolitan areas: Thresholds identification
10.1016/j.scitotenv.2017.06.218 · 2017
The global nitrogen‑phosphorus imbalance
10.1126/science.abl4827 · 2022
Influence of land use/land cover on stream water quality in two watersheds in the central Andes of Bolivia: An optimized methodology
10.1016/j.ecolind.2025.113984 · 2025
Net anthropogenic phosphorus inputs: spatial and temporal variability in the Chesapeake Bay region
10.1007/s10533-008-9212-9 · 2008
Identifying non-point source priority management areas in watersheds with multiple functional zones
10.1016/j.watres.2014.10.034 · 2015
Restoring small water bodies to improve lake and river water quality in China
10.1038/s41467-024-55714-9 · 2025
Spatiotemporal evolution pattern of water yield service of ecosystems in the Shule River Basin, Northwest China, integrating future climate and land use changes
10.1016/j.ecolind.2025.114452 · 2025
Coupled impacts of climate and land use changes on regional ecosystem services
10.1016/j.jenvman.2022.116753 · 2023
Evaluation of statistical downscaling techniques and projection of climate extremes in central Texas, USA
2024
A framework for validating watershed ecosystem service models in the United States using long-term water quality data: Applications with the InVEST Nutrient Delivery (NDR) model in Puerto Rico
10.1016/j.scitotenv.2024.175111 · 2024
Dynamic thresholds driven by rainfall-landscape synergy for non-point source pollution control: A zonal management framework for the Three Gorges Reservoir Area
10.1016/j.ecolind.2025.114438 · doi-reference
Risk and driving factors of nitrogen and phosphorus runoff losses under extreme rainfall conditions: sludge application strategies in forest soils
10.1016/j.catena.2025.109318 · doi-reference
Spatio-temporal changes in water-related ecosystem services provision and trade-offs with food production
10.1016/j.jclepro.2020.125316 · doi-reference
The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
10.5194/essd-13-3907-2021 · doi-reference
Integrated multi-dimensional framework for water conservation capacity evaluation and attribution in the Yellow River water conservation area
10.1016/j.jhydrol.2026.134979 · doi-reference
Forecasting urban land use change based on cellular automata and the PLUS model
10.3390/land11050652 · doi-reference
Multi-scale effects of topography and landscape pattern on riverine nitrogen and phosphorus nutrients in an agricultural watershed
10.1007/s10980-025-02131-y · doi-reference
Comprehensive effects of climate, land use/cover and management practices on runoff and nutrient variations in a rapidly urbanizing watershed
10.1016/j.chemosphere.2023.140934 · doi-reference
Impacts of climate and land-use changes on the migration of non-point source nitrogen and phosphorus during rainfall-runoff in the Jialing River Watershed, China
10.1016/j.jhydrol.2012.08.022 · doi-reference
Rainfall impacts on nonpoint nitrogen and phosphorus dynamics in an agricultural river in subtropical montane reservoir region of southeast China
10.1016/j.jes.2024.02.012 · doi-reference
Nitrogen and phosphorus evolution process and driving mechanisms of three major freshwater lakes with different river-lake connectivity (DRLC) in the lower reaches of the Yangtze river, the largest river in Asia
10.1016/j.jclepro.2024.144471 · doi-reference
A triple increase in global river basins with water scarcity due to future pollution
10.1038/s41467-024-44947-3 · doi-reference
Understanding the spatiotemporal variability in nonpoint source nutrient loads and its effect on water quality in the upper Xin'an river basin, Eastern China
10.1016/j.jhydrol.2023.129582 · doi-reference
Interflow pattern govern nitrogen loss from tea orchard slopes in response to rainfall pattern in Three Gorges Reservoir Area
10.1016/j.agwat.2022.107684 · doi-reference
Assessment of influencing factors on non-point source pollution critical source areas in an agricultural watershed
10.1016/j.ecolind.2022.109084 · doi-reference
Assessment of landscape ecological risk for a cross-border basin: A case study of the Koshi River Basin, central Himalayas
10.1016/j.ecolind.2020.106621 · doi-reference
A framework for validating watershed ecosystem service models in the United States using long-term water quality data: Applications with the InVEST Nutrient Delivery (NDR) model in Puerto Rico
10.1016/j.scitotenv.2024.175111 · doi-reference
Coupled impacts of climate and land use changes on regional ecosystem services
10.1016/j.jenvman.2022.116753 · doi-reference
Spatiotemporal evolution pattern of water yield service of ecosystems in the Shule River Basin, Northwest China, integrating future climate and land use changes
10.1016/j.ecolind.2025.114452 · doi-reference
Restoring small water bodies to improve lake and river water quality in China
10.1038/s41467-024-55714-9 · doi-reference
Identifying non-point source priority management areas in watersheds with multiple functional zones
10.1016/j.watres.2014.10.034 · doi-reference
Net anthropogenic phosphorus inputs: spatial and temporal variability in the Chesapeake Bay region
10.1007/s10533-008-9212-9 · doi-reference
Influence of land use/land cover on stream water quality in two watersheds in the central Andes of Bolivia: An optimized methodology
10.1016/j.ecolind.2025.113984 · doi-reference
The global nitrogen‑phosphorus imbalance
10.1126/science.abl4827 · doi-reference
Ecosystem services response to urbanization in metropolitan areas: Thresholds identification
10.1016/j.scitotenv.2017.06.218 · doi-reference
Comparison of different statistical downscaling methods for climate change rainfall projections over the Lake Victoria basin considering CMIP3 and CMIP5
10.1016/j.jher.2016.03.001 · doi-reference
Influence path identification of topography, soil, hydrology and landscape on phosphorus buffering capacity in typical agricultural catchments in central subtropical China
10.1016/j.jenvman.2022.115164 · doi-reference
Using a nitrogen‑phosphorus ratio to identify phosphorus risk factors and their spatial heterogeneity in an intensive agricultural area
10.1016/j.catena.2016.10.022 · doi-reference
Driving forces of nitrogen cycling and the climate feedback loops in the Yarlung Tsangpo River Basin, the highest-altitude large river basin in the world
10.1016/j.jhydrol.2022.127974 · doi-reference
Projections of land use changes under the plant functional type classification in different SSP-RCP scenarios in China
10.1016/j.scib.2020.07.014 · doi-reference
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
10.1016/j.compenvurbsys.2020.101569 · doi-reference
Shapley value: from cooperative game to explainable artificial intelligence
10.1007/s43684-023-00060-8 · doi-reference
River water quality shaped by land–river connectivity in a changing climate
10.1038/s41558-023-01923-x · doi-reference
Urbanization and agriculture intensification jointly enlarge the spatial inequality of river water quality
10.1016/j.scitotenv.2023.162559 · doi-reference
A cellular automata model coupled with partitioning CNN-LSTM and PLUS models for urban land change simulation
10.1016/j.jenvman.2023.119828 · doi-reference
Coupled effects of biogeochemical and hydrological processes on C, N, and P export during extreme rainfall events in a purple soil watershed in southwestern China
10.1016/j.jhydrol.2014.02.005 · doi-reference
Identifying critical source areas of non-point source pollution to enhance water quality: Integrated SWAT modeling and multi-variable statistical analysis to reveal key variables and thresholds
10.1016/j.watres.2024.121286 · doi-reference
A neural network boosting regression model based on XGBoost
10.1016/j.asoc.2022.109067 · doi-reference
Impact of climate change on catchment nutrient dynamics: insights from around the world
10.1139/er-2021-0109 · doi-reference
High-frequency monitoring reveals rainfall-driven phosphorus and nitrogen concentration–discharge patterns and associated mechanisms
10.1016/j.jhydrol.2026.135151 · doi-reference