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Groundwater Flow Model and Particle Track Analysis for Selecting Water Quality Monitoring Well Sites,and Soil Sampling Profiles
Mechanic villages heavy metals modelling pollution studies Imo River basin
2015/8/14
Researchers often use only surface drainage (imperical method) as a tradition to locate sites for installation of water quality monitoring wells, and soil sampling profile for pollution studies in urb...
Groundwater Flow Model and Particle Track Analysis for Selecting Water Quality Monitoring Well Sites, and Soil Sampling Profiles
modelling pollution studies Imo River basin
2015/1/8
Researchers often use only surface drainage (imperical method) as a tradition to locate sites for installation of water quality monitoring wells, and soil sampling profile for pollution studies in urb...
Reliability and robustness of rainfall compound distribution model based on weather pattern sub-sampling
Reliability robustness rainfall compound weather pattern sub-sampling
2011/3/14
A new probabilistic model for daily rainfall, named MEWP (Multi Exponential Weather Pattern) distribution, has been introduced in Garavaglia et al. (2010). This model provides estimates of extreme rai...
Optimal sampling in a noisy genetic algorithm for risk-based remediation design
Optimal sampling noisy genetic algorithm risk-based remediation design
2009/12/4
A groundwater management model has been developed that predicts human health risks and uses a noisy genetic algorithm to identify promising risk-based corrective action (RBCA) designs. Noisy genetic a...
Integrated use of GIS-based field sampling and modeling for hydrologic and water quality studies
Integrated use GIS-based field samplingm and odeling hydrologic and water quality studies
2009/12/4
Enhancements to traditional catchment-scale water quality assessments can be realized by leveraging geographical information systems (GIS) for both field data collection and hydrologic and water quali...
A number of variables of interest in precipitation studies can be interpreted as
sums of random numbers of random variables, where the summed quantity is
a power transformation of raindrop diameter....
Comparison of Areal Snow Storage Sampling Procedures for Rangeland Watersheds
Areal Snow Storage Procedures Rangeland Watersheds
2009/10/28
The accuracy of photogrammetry in determining snow depth in mountainous
rangeland watersheds was evaluated on a 0.41-km2 subbasin of the Reynolds
Creek Experimental Watershed, located in the Owyhee ...
Review of robust measurement of phosphorus in river water: sampling, storage, fractionation and sensitivity
phosphorus orthophosphate soluble reactive
2009/3/17
This paper reviews current knowledge on sampling, storage and analysis of phosphorus (P) in river waters. Potential sensitivity of rivers with different physical, chemical and biological characteristi...
Generalisation for neural networks through data sampling and training procedures, with applications to streamflow predictions
neural networks generalisation stacking
2009/3/6
Since the 1990s, neural networks have been applied to many studies in hydrology and water resources.
Sampling variance of flood quantiles from the generalised logistic distribution estimated using the method of L-moments
flood frequency analysis Flood Estimation Handbook single site annual maximum series Generalised Logistic Distribution uncertainty
2009/3/4
The method of L-moments is the recommended method for fitting the three parameters (location, scale and shape) of a Generalised Logistic (GLO) distribution when conducting flood frequency analyses in ...