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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...
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...
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...
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...
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...
Earth resources satellites have provided a means for the timely, efficient, and accurate monitoring of watershed snowcovered area. Several techniques are available for analysing the data ranging fro...
Three prediction methods were tested against observed melt for their ability to predict snowmelt in a variety of subarctic environments. Four melt environments were defined according to vegetation c...
Applicability of a nonlinear version of the watershed bounded network model (WBNM) for large basins namely Shellbyville (1,246 km2), Columbia (3,129 km2), Centreville (5,304 kmz) and Hurricane Mills...
Interpolation of spatially varying point precipitation depths introduces uncertainties in the estimated mean areal precipitation (MAP). This paper describes a geostatistical approach - the Kriging m...
To evaluate the daily outflow from a 212-km2 basin in a mountainous part of the downstream Amur river, which has no rain gages, a modeling approach is needed. The average basin rainfall during a rainf...
The study examined return period analysis as a tool for flood prediction in urban areas. This technique enables us to know when an event is expected to occur, be equaled, or be exceeded. When floods o...
Performance of empirical models has been compared with extensively observed data to determine the most suitable model for prediction of salt intrusion in the Sumjin River estuary, Korea. Intensive mea...
The matching of estimated to observed hydrograph shape is central to much hydrological analysis. This research note quantifies built-in biases that tend to inflate goodness of fit indicies, biases tha...

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