中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共4条，第1-4条 帮助

已选(0)清除 条数/页：   排序方式：
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  
Reward-Based Participant Management for Crowdsourcing Rainfall Monitoring: An Agent-Based Model Simulation 期刊论文
WATER RESOURCES RESEARCH, 2019
作者:  Yang, Pan;  Ng, Tze Ling;  Cai, Ximing
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/27
crowdsourcing  rainfall monitoring  agent-based model  reward allocation  participant management  
Fast Bayesian Regression Kriging Method for Real Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (4) : 3194-3214
作者:  Yang, Pan;  Ng, Tze Ling
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26
Gauging Through the Crowd: A Crowd-Sourcing Approach to Urban Rainfall Measurement and Storm Water Modeling Implications 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (11)
作者:  Yang, Pan;  Ng, Tze Ling
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
crowd-sourcing  rain gauging  rainfall monitoring  urban storm water modeling  computer simulation