Attribution and driving force of nitrogen losses from the Taihu Lake Basin by the InVEST and GeoDetector models

[1]  Xiaoyuan Yan,et al.  Traceability of nitrate polluted hotspots in plain river networks of the Yangtze River delta by nitrogen and oxygen isotopes coupling bayesian model. , 2022, Environmental pollution.

[2]  Yajie Hu,et al.  Cyanobacteria bloom hazard function and preliminary application in lake taihu, China. , 2022, Chemosphere.

[3]  Yu Gao,et al.  A new approach to land use optimization and simulation considering urban development sustainability: A case study of Bortala, China , 2022, Sustainable Cities and Society.

[4]  R. Gan,et al.  Quantifying the contribution of SWAT modeling and CMIP6 inputting to streamflow prediction uncertainty under climate change , 2022, Journal of Cleaner Production.

[5]  Yiping Li,et al.  How climate change and land-use evolution relates to the non-point source pollution in a typical watershed of China. , 2022, The Science of the total environment.

[6]  Jiang Li,et al.  Land use/land cover prediction and analysis of the middle reaches of the Yangtze River under different scenarios. , 2022, The Science of the total environment.

[7]  Mingli Zhang,et al.  Spatial occurrence and sources of PAHs in sediments drive the ecological and health risk of Taihu Lake in China , 2022, Scientific Reports.

[8]  Jun-hua Yi,et al.  Analysis of the heterogeneity of urban expansion landscape patterns and driving factors based on a combined Multi-Order Adjacency Index and Geodetector model , 2022, Ecological Indicators.

[9]  Mingli Zhang,et al.  Occurrence and driving forces of different nitrogen forms in the sediments of the grass and algae-type zones of Taihu Lake , 2022, Environmental Science and Pollution Research.

[10]  Xin Li,et al.  Dynamic simulation of land use change and assessment of carbon storage based on climate change scenarios at the city level: A case study of Bortala, China , 2022, Ecological Indicators.

[11]  Y. Lian,et al.  Spatiotemporal features of pollutant loads in the Yan River Basin, a typical loess hilly and gully watershed in the Chinese Loess Plateau , 2021, Geoscience Letters.

[12]  Z. Easton,et al.  Evaluating the joint effects of climate and land use change on runoff and pollutant loading in a rapidly developing watershed , 2021, Journal of Cleaner Production.

[13]  Longlong Xia,et al.  Temporal and spatial variations in nitrogen use efficiency of crop production in China. , 2021, Environmental pollution.

[14]  Lianpeng Zhang,et al.  Insights into spatiotemporal variations of the water quality in Taihu Lake Basin, China , 2021, Environmental Monitoring and Assessment.

[15]  Jian Peng,et al.  Characterizing the river water quality in China: Recent progress and on-going challenges. , 2021, Water research.

[16]  H. E. Andersen,et al.  Three decades of regulation of agricultural nitrogen losses: Experiences from the Danish Agricultural Monitoring Program. , 2021, The Science of the total environment.

[17]  Kaiqin Xu,et al.  Nitrogen cascade in the agriculture-food-environment system of the Yangtze Delta, 1998-2018. , 2021, The Science of the total environment.

[18]  Yiping Wu,et al.  Toward sustainable revegetation in the Loess Plateau using coupled water and carbon management , 2021 .

[19]  Xun Liang,et al.  Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China , 2020, Comput. Environ. Urban Syst..

[20]  E. Stanley,et al.  Outsized nutrient contributions from small tributaries to a Great Lake , 2020, Proceedings of the National Academy of Sciences.

[21]  A. Lepistö,et al.  Land‐use dominates climate controls on nitrogen and phosphorus export from managed and natural Nordic headwater catchments , 2020, Hydrological Processes.

[22]  I. Santos,et al.  Modeling Catchment-Scale Nitrogen Losses Across a Land-Use Gradient in the Subtropics , 2020, Frontiers in Earth Science.

[23]  L. Liyuan,et al.  Driving forces and future trends on total nitrogen loss of planting in China. , 2020, Environmental pollution.

[24]  Dongchuan Wang,et al.  Spatial and Temporal Heterogeneity Analysis of Water Conservation in Beijing‐Tianjin‐Hebei Urban Agglomeration Based on the Geodetector and Spatial Elastic Coefficient Trajectory Models , 2020, GeoHealth.

[25]  Yongze Song,et al.  An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data , 2020, GIScience & Remote Sensing.

[26]  R. Shan,et al.  Comparison of the SWAT and InVEST models to determine hydrological ecosystem service spatial patterns, priorities and trade-offs in a complex basin , 2020 .

[27]  Jian Zhou,et al.  Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models. , 2020, Chemosphere.

[28]  Yang Bai,et al.  Scale effects on the relationships between land characteristics and ecosystem services- a case study in Taihu Lake Basin, China. , 2020, The Science of the total environment.

[29]  J. Hall,et al.  Pollution exacerbates China’s water scarcity and its regional inequality , 2020, Nature Communications.

[30]  Qiang Liu,et al.  Analyzing the influence of landscape pattern change on ecological water requirements in an arid/semiarid region of China , 2019, Journal of Hydrology.

[31]  Yan Zhang,et al.  Response of nitrogen pollution in surface water to land use and social-economic factors in the Weihe River watershed, northwest China , 2019, Sustainable Cities and Society.

[32]  David J. Sample,et al.  An evaluation of HSPF and SWMM for simulating streamflow regimes in an urban watershed , 2019, Environ. Model. Softw..

[33]  A. Boretti,et al.  Reassessing the projections of the World Water Development Report , 2019, npj Clean Water.

[34]  Min Xu,et al.  Landscape pattern indices for evaluating urban spatial morphology – A case study of Chinese cities , 2019, Ecological Indicators.

[35]  Daquan Huang,et al.  Delimiting urban growth boundaries using the CLUE-S model with village administrative boundaries , 2019, Land Use Policy.

[36]  K. Calvin,et al.  Societal decisions about climate mitigation will have dramatic impacts on eutrophication in the 21st century , 2019, Nature Communications.

[37]  Ebrahim Ahmadisharaf,et al.  Scale-dependent impacts of urban and agricultural land use on nutrients, sediment, and runoff. , 2019, The Science of the total environment.

[38]  M. Fragkias,et al.  Land conservation can mitigate freshwater ecosystem services degradation due to climate change in a semiarid catchment: The case of the Portneuf River catchment, Idaho, USA. , 2019, The Science of the total environment.

[39]  A. Bouwman,et al.  Global nitrogen and phosphorus in urban waste water based on the Shared Socio-economic pathways. , 2019, Journal of environmental management.

[40]  Bing Zhang,et al.  Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index , 2018, Remote Sensing of Environment.

[41]  A. Bouwman,et al.  Exploring spatiotemporal changes of the Yangtze River (Changjiang) nitrogen and phosphorus sources, retention and export to the East China Sea and Yellow Sea. , 2018, Water research.

[42]  L. May,et al.  National scale evaluation of the InVEST nutrient retention model in the United Kingdom. , 2018, The Science of the total environment.

[43]  Chong-yu Xu,et al.  A procedure for quantifying runoff response to spatial and temporal changes of impervious surface in Qinhuai River basin of southeastern China , 2017 .

[44]  Chelsea E. Berg,et al.  Reprint:Examining the ecosystem service of nutrient removal in a coastal watershed , 2016 .

[45]  Rebecca Logsdon Muenich,et al.  Comparing two tools for ecosystem service assessments regarding water resources decisions. , 2016, Journal of environmental management.

[46]  Lin Shan,et al.  Ammonia volatilization from a Chinese cabbage field under different nitrogen treatments in the Taihu Lake Basin, China. , 2015, Journal of environmental sciences.

[47]  M. Jha,et al.  Impacts of climate change on hydrology, water quality and crop productivity in the Ohio-Tennessee River Basin , 2015 .

[48]  N. Fohrer,et al.  A multi‐storage groundwater concept for the SWAT model to emphasize nonlinear groundwater dynamics in lowland catchments , 2014 .

[49]  Yiping Wu,et al.  Investigating the effects of point source and nonpoint source pollution on the water quality of the East River (Dongjiang) in South China , 2013 .

[50]  W. Chardon,et al.  Water and nutrient transport on a heavy clay soil in a fluvial plain in the Netherlands. , 2012, Journal of environmental quality.

[51]  Kari L Vigerstol,et al.  A comparison of tools for modeling freshwater ecosystem services. , 2011, Journal of environmental management.

[52]  R. Stone.  Ecology. China aims to turn tide against toxic lake pollution. , 2011, Science.

[53]  Xiaoyuan Yan,et al.  Nitrogen budget and surface water nitrogen load in Changshu: a case study in the Taihu Lake region of China , 2011, Nutrient Cycling in Agroecosystems.

[54]  J. Ord,et al.  Local Spatial Autocorrelation Statistics: Distributional Issues and an Application , 2010 .

[55]  A. Getis.  The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[56]  C. Sullivan,et al.  Water and poverty in rural China: Developing an instrument to assess the multiple dimensions of water and poverty , 2010 .

[57]  Xiaoying Zheng,et al.  Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China , 2010, Int. J. Geogr. Inf. Sci..

[58]  F. Chapin,et al.  A safe operating space for humanity , 2009, Nature.

[59]  J. Day,et al.  Nutrient Removal and Loading Rate Analysis of Louisiana Forested Wetlands Assimilating Treated Municipal Effluent , 2009, Environmental management.

[60]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[61]  V. Smith,et al.  Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems. , 1999, Environmental pollution.

[62]  A. Feinstein,et al.  High agreement but low kappa: II. Resolving the paradoxes. , 1990, Journal of clinical epidemiology.