Search
Now showing items 71-80 of 84
Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models
(2015-06-05)
The objective of this study is to develop artificial neural network (ANN) models, including multilayer perceptron (MLP) and Kohonen self-organizing feature map (KSOFM), for spatial disaggregation of areal rainfall in the ...
Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea
(2014)
Since its reappearance at the Military Demarcation Line in 1993, malaria has been occurring annually in Korea. Malaria is regarded as a third grade nationally notifiable disease susceptible to climate change. The objective ...
Analysis of Soil Water Retention Data Using Artificial Neural Networks
(2004-09-05)
Many studies of water flow and solute transport in the vadose zone require estimates of the unsaturated soil hydraulic properties, including the soil water retention curve (WRC) describing the relationship between soil ...
Entropy Spectral Analyses for Groundwater Forecasting
(2017-03-03)
Forecasting of monthly and annual groundwater levels is important for water resources management, irrigation, and assessment of climate change. This study employs entropy spectral analysis for forecasting monthly groundwater ...
Parameter Estimation for Log-Pearson Type III Distribution by Pome
(1988-01)
The principle of maximum entropy (POME) is employed to derive an alternative method of parameter estimation for the log-Pearson type (LPT) III distribution. Historical flood data are used to evaluate this method and compare ...
Model Error In Flood Frequency Estimation
(2002)
Asymptotic bias in large quantiles and moments for three parameter estimation methods, including the maximum likelihood method (MLM), moments method (MOM) and linear moments method (LMM), is derived when a probability ...
SCS-CN Method. Part II: Analytical Treatment
(2003)
This part of the paper, a sequel to Part I, in continuation of the analytical treatment of the Soil Conservation Service curve number (SCS-CN) method, further explores the SCS-CN method for: (a) its functional behaviour, ...
Experimental Investigation of Influence of Vegetation on Flow Turbulence
(Scientific & Academic Publishing, 2015)
Vegetation in channels, rivers, reservoirs, and wetlands alters the flow turbulence characteristics. Vegetation has both positive and negative effects, depending on the objective of the hydraulic conduit. For example, it ...
Simulation of the entire range of daily precipitation using a hybrid probability distribution
(American Geophysical Union, 2012)
Underestimation of extreme values is a widely acknowledged issue in daily precipitation simulation. Nonparametric precipitation generators have inherent limitations in representing extremes. Parametric generators can ...