GSTDTAP

浏览/检索结果: 共58条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
El Niño can help predict cacao harvests up to 2 years in advance 新闻
来源平台:EurekAlert. 发布日期:2021
作者:  admin
收藏  |  浏览/下载:10/0  |  提交时间:2021/05/06
A neural network learns when it should not be trusted 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:8/0  |  提交时间:2020/11/20
Tip sheet for joint statistical meetings Aug. 2 - 6, 2020 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:18/0  |  提交时间:2020/08/09
Study Identifies Top Reasons for Sewer Line Failure 新闻
来源平台:Science Daily. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/29
The world's growing municipal solid waste: trends and impacts 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Chen, David Meng-Chuen;  Bodirsky, Benjamin Leon;  Krueger, Tobias;  Mishra, Abhijeet;  Popp, Alexander
收藏  |  浏览/下载:14/0  |  提交时间:2020/08/18
municipal solid waste  environmental impacts of waste  compositional data  global future projections  circular economy  
Understanding the Impact of Observation Data Uncertainty on Probabilistic Streamflow Forecasts Using a Dynamic Hierarchical Model 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Das Bhowmik, Rajarshi;  Ng, Tze Ling;  Wang, Jui-Pin
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
uncertainty  measurement error  Bayesian  BDHM  forecasting  Streamflow  
Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling 期刊论文
ATMOSPHERIC RESEARCH, 2020, 233
作者:  Gholami, Hamid;  Mohamadifar, Aliakbar;  Collins, Adrian L.
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/02
Dust provenance  Spatial modelling  Data mining algorithms  Multicollinearity  Receiver operating characteristic  Ensemble modelling  R software  
Deposition Potential and Flow-Response Dynamics of Emergent Sandbars in a Braided River 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Alexander, Jason S.;  McElroy, Brandon;  Huzurbazar, Snehalata;  Elliott, Caroline;  Murr, Marissa L.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Advances in Quantifying Streamflow Variability Across Continental Scales: 2. Improved Model Regionalization and Prediction Uncertainties Using Hierarchical Bayesian Methods 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 11061-11087
作者:  Alexander, Richard B.;  Schwarz, Gregory E.;  Boyer, Elizabeth W.
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/16
hierarchical Bayesian  hydrological modeling  SPARROW  regionalization methods  
Understanding and Modeling the Occurrence of E. coli Blooms in Drinking Water Reservoirs 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (12) : 10518-10526
作者:  Bertone, Edoardo;  Kozak, Sonya;  Roiko, Anne
收藏  |  浏览/下载:5/0  |  提交时间:2020/02/16
Bayesian Network  Escherichia coli  risk assessment  water resources management