Application of machine learning to construction injury prediction
The needs to ground construction safety-related decisions under uncertainty on knowledge
extracted from objective, empirical data are pressing. Although construction research has …
extracted from objective, empirical data are pressing. Although construction research has …
A multimodel ensemble forecast framework: Application to spring seasonal flows in the Gunnison River Basin
We propose a multimodel ensemble forecast framework for streamflow forecasts at multiple
locations that incorporates large‐scale climate information. It has four broad steps:(1) …
locations that incorporates large‐scale climate information. It has four broad steps:(1) …
[HTML][HTML] Interannual variability and ensemble forecast of Upper Blue Nile Basin Kiremt season precipitation
P Block, B Rajagopalan - Journal of Hydrometeorology, 2007 - journals.ametsoc.org
Interannual Variability and Ensemble Forecast of Upper Blue Nile Basin Kiremt Season
Precipitation in: Journal of Hydrometeorology Volume 8 Issue 3 (2007) Jump to Content …
Precipitation in: Journal of Hydrometeorology Volume 8 Issue 3 (2007) Jump to Content …
Kriging and local polynomial methods for blending satellite-derived and gauge precipitation estimates to support hydrologic early warning systems
Robust estimates of precipitation in space and time are important for efficient natural
resource management and for mitigating natural hazards. This is particularly true in regions …
resource management and for mitigating natural hazards. This is particularly true in regions …
Bayesian model averaging with fixed and flexible priors: Theory, concepts, and calibration experiments for rainfall‐runoff modeling
This paper introduces for the first time the concept of Bayesian model averaging (BMA) with
multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model …
multiple prior structures, for rainfall‐runoff modeling applications. The original BMA model …
Long-term streamflow forecasting based on ensemble streamflow prediction technique: a case study in New Zealand
SK Singh - Water resources management, 2016 - Springer
Streamflow forecasts are essential for optimal management of water resources for various
demands, including irrigation, fisheries management, hydropower production and flood …
demands, including irrigation, fisheries management, hydropower production and flood …
An approach for probabilistic forecasting of seasonal turbidity threshold exceedance
E Towler, B Rajagopalan… - Water Resources …, 2010 - Wiley Online Library
Though climate forecasts offer substantial promise for improving water resource oversight,
additional tools are needed to translate these forecasts into water‐quality‐based products …
additional tools are needed to translate these forecasts into water‐quality‐based products …
Ensemble of M5 model tree based modelling of sodium adsorption ratio
This work reports the results of four ensemble approaches with the M5 model tree as the
base regression model to anticipate Sodium Adsorption Ratio (SAR). Ensemble methods …
base regression model to anticipate Sodium Adsorption Ratio (SAR). Ensemble methods …
Predictability of Western Himalayan river flow: melt seasonal inflow into Bhakra Reservoir in northern India
Snowmelt-dominated streamflow of the Western Himalayan rivers is an important water
resource during the dry pre-monsoon spring months to meet the irrigation and hydropower …
resource during the dry pre-monsoon spring months to meet the irrigation and hydropower …
Using parametric and nonparametric methods to model total organic carbon, alkalinity, and pH after conventional surface water treatment
E Towler, B Rajagopalan… - Environmental Engineering …, 2009 - liebertpub.com
Predicting the behavior of natural organic matter (NOM), alkalinity, and pH during drinking
water coagulation is difficult because of the heterogeneous chemical nature of NOM and the …
water coagulation is difficult because of the heterogeneous chemical nature of NOM and the …