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Spatial Variability and Prediction Modeling of Groundwater Arsenic Distributions in the Shallowest Alluvial Aquifers in Bangladesh
Arsenic Bangladesh distribution spatial variability semivariogram prediction models
2015/8/13
Elevated arsenic in groundwater is the greatest environmental problem in Bangladesh. Spatial variability of arsenic in groundwater has been examined by semivariogram analysis that revealed high degree...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
linear regression multivariate statistics nitrogen NPS soil moisture spatial analysis visualization
2015/8/11
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Prediction of Daily Maximum Streamflow Based on Stochastic Approaches
Daily maximum streamflow stochastic model ARIMA Thomas-Fiering
2015/8/6
This study analyzed daily maximum streamflow data of each month from three gauge stations on Cekerek Stream for simulation using stochastic approaches. Initially non-parametric test (Mann-Kendall) was...
Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques
Geographic Information System GIS
2015/8/6
There is a need to develop new modeling techniques that assess ground water vulnerability with less expensive data and which are robust when data are uncertain and incomplete. Incorporation of Geograp...
Prediction of Spatial-Temporal Distribution of Algal Metabolites in Eagle Creek Reservoir, Indianapolis, IN
Algal bloom cyanobacteria EFDC
2015/1/16
Inthisresearch,EnvironmentalFluidDynamicCode(EFDC)andAdaptive-Networkbased
FuzzyInferenceSystemModels(ANFIS)weredevelopedandimplementedto
determinethespatial-temporaldistributionofcyanobacterialmeta...
Spatial Variability and Prediction Modeling of Groundwater Arsenic Distributions in the Shallowest Alluvial Aquifers in Bangladesh
Arsenic Bangladesh distribution
2015/1/7
Elevated arsenic in groundwater is the greatest environmental problem in Bangladesh. Spatial variability of arsenic in groundwater has been examined by semivariogram analysis that revealed high degree...
Development of a Multivariate Regression Model for Soil Nitrate Nitrogen Content Prediction
NPS soil moisture spatial analysis visualization
2015/1/6
Although soil nitrate nitrogen (N) is a nutrient source for crop, it could be a potential nonpoint pollution source to the environment when its content remains high with an inappropriate management. S...
Prediction of Daily Maximum Streamflow Based on Stochastic Approaches
Daily maximum streamflow stochastic model ARIMA Thomas-Fiering
2015/1/4
This study analyzed daily maximum streamflow data of each month from three gauge stations on Cekerek Stream for simulation using stochastic approaches. Initially non-parametric test (Mann-Kendall) was...
Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques
Geographic Information System GIS Spatial Modeling Remote Sensing Fuzzy Logic Neural Networks
2015/1/4
There is a need to develop new modeling techniques that assess ground water vulnerability with less expensive data and which are robust when data are uncertain and incomplete. Incorporation of Geograp...
Seasonal prediction of winter extreme precipitation over Canada by support vector regression
winter extreme precipitation Canada support vector regression
2011/1/7
For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models ...
Improving runoff prediction through the assimilation of the ASCAT soil moisture product
Improving runoff prediction the ASCAT soil moisture product
2010/12/22
The role and the importance of soil moisture for meteorological, agricultural and hydrological applications is widely known. Remote sensing offers the unique capability to monitor soil moisture over l...
Prediction of scour depth at culvert outlets using neural networks
Prediction scour depth culvert outlets neural networks
2009/12/4
Scour at culvert outlets is a phenomenon encountered world-wide. Research into the problem has mainly been of an experimental nature, with equations being derived for particular circumstances. These t...
An assessment of Bayesian bias estimator for numerical weather prediction
Bayesian bias estimator numerical weather prediction
2009/11/2
Various statistical methods are used to process operational Numerical Weather Prediction (NWP) products with the aim of reducing forecast errors and they often require sufficiently large training data...
Much attention has been given to rationalizing the dimensionless unit hydrograph
during the past two decades. Recently, Schultz, Pinkayan & Komsartra
(1971) reviewed some of this literature and prop...
DEVELOPMENT OF A STORM RUN-OFF PREDICTION MODEL WITH SIMULATED TEMPORAL RAINFALL DISTRIBUTION
STORM RUN-OFF PREDICTION MODEL SIMULATED TEMPORAL RAINFALL DISTRIBUTION
2009/10/29
The Yamuna catchment up to Kalanur is studied. The representative
character of limited pluviograph data was determined using the storm
index concept. After establishing a relationship between the li...