GSTDTAP

浏览/检索结果: 共319条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
High Resolution Modeling of River-Floodplain-Reservoir Inundation Dynamics in the Mekong River Basin 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Shin, Sanghoon;  Pokhrel, Yadu;  Yamazaki, Dai;  Huang, Xiaodong;  Torbick, Nathan;  Qi, Jiaguo;  Pattanakiat, Sura;  Thanh Ngo-Duc;  Nguyen Duc Tuan
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/02
A Process-Based Framework to Characterize and Classify Runoff Events: The Event Typology of Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tarasova, L.;  Basso, S.;  Wendi, D.;  Viglione, A.;  Kumar, R.;  Merz, R.
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
event classification  event type  rainfall-runoff events  event typology  event characteristics  runoff generation mechanisms  
Estimation of Direct and Indirect Economic Losses Caused by a Flood With Long-Lasting Inundation: Application to the 2011 Thailand Flood 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tanoue, M.;  Taguchi, R.;  Nakata, S.;  Watanabe, S.;  Fujimori, S.;  Hirabayashi, Y.
收藏  |  浏览/下载:17/0  |  提交时间:2020/07/02
Flood  Thailand  direct  indirect economic losses  computable general equilibrium model  global river and inundation model  
Assessment of Climate, Sizing, and Location Controls on Green Infrastructure Efficacy: A Timescale Framework 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Hung, F.;  Harman, C. J.;  Hobbs, B. F.;  Sivapalan, M.
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Green Infrastructure  Sewer Overflows  Climate  Catchment  Hydrology  Timescale  
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Schmidt, Lennart;  Hesse, Falk;  Attinger, Sabine;  Kumar, Rohini
收藏  |  浏览/下载:7/0  |  提交时间:2020/05/13
machine learning  inference  floods  
Improving Hydrological Models With the Assimilation of Crowdsourced Data 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Avellaneda, P. M.;  Ficklin, D. L.;  Lowry, C. S.;  Knouft, J. H.;  Hall, D. M.
收藏  |  浏览/下载:13/0  |  提交时间:2020/05/13
citizen science  data assimilation  streamflow  stream temperature  
Hydropower Production Benefits More From 1.5 degrees C than 2 degrees C Climate Scenario 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Meng, Ying;  Liu, Junguo;  Leduc, Sylvain;  Mesfun, Sennai;  Kraxner, Florian;  Mao, Ganquan;  Qi, Wei;  Wang, Zifeng
收藏  |  浏览/下载:8/0  |  提交时间:2020/05/13
global warming  hydropower(sic)hydro-economic modeling  optimization model  ISIMIP  PCR-GLOBWB  protected areas  
Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Smyth, Eric J.;  Raleigh, Mark S.;  Small, Eric E.
收藏  |  浏览/下载:9/0  |  提交时间:2020/05/13
SWE  Assimilation  Particle Filter  Snow Depth  Observation Timing  Snow Density  
The Fifth Stage in Water Management: Policy Lessons for Water Governance 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Loch, A.;  Adamson, D.;  Dumbrell, N. P.
收藏  |  浏览/下载:9/0  |  提交时间:2020/05/13
uncertainty  water  markets  risk management  policy  
Hydrologically Informed Machine Learning for Rainfall-Runoff Modeling: A Genetic Programming-Based Toolkit for Automatic Model Induction 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Chadalawada, Jayashree;  Herath, H. M. V. V.;  Babovic, Vladan
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
rainfall-runoff modeling  flexible conceptual modeling framework  machine learning  genetic programming