نتایج جستجو برای: sediment rating curve
تعداد نتایج: 209028 فیلتر نتایج به سال:
SALT (Selection At List Time) is a variable probability sampling scheme that provides unbiased estimates of suspended sediment yield and its variance. SALT performs better than standard schemes which are estimate variance. Sampling probabilities are based on a sediment rating function which promotes greater sampling intensity during periods of high sediment yield. When preparing to monitor usin...
So far, many attempts have been made to identify the relation between discharge and suspended sediment load.Empirical relations such as sediment rating curves are often applied to determine the average relationship between discharge and suspended sediment load. This type of models generally underestimates or overestimateswhen sediment load are estimated from water discharge using least squares ...
The real estimation of the volume of sediments carried by rivers in water projects is very important. In fact, achieving the most important ways to calculate sediment discharge has been considered as the objective of the most research projects. Among these methods, the machine learning methods such as decision trees model (that are based on the principles of learning) can be presented. Decision...
In this study, using Sediment rating curve models USBR, seasonal model, monthly model, data model based on separating dry and wet seasons, data separation based on flow measurement time (months of low water and high water seasons) and separation of data based on months with no green vegetation and green vegetation] on 6 hydrometric station in Gharesoo River in Golestan Province with aim of se...
Evaluating distributed soil erosion models is challenging because of the uncertainty in and measurements system responses. Here, we present an approach to evaluate sediment delivery models, which incorporates source fingerprinting sediment-rating curve into model testing. We applied Generalized Likelihood Uncertainty Estimation (GLUE) methodology Sediment Delivery Distributed (SEDD) for a large...
For estimating suspended sediment concentration (SSC) in rivers, turbidity is generally a much better predictor than water discharge. Although it is now possible to collect continuous turbidity data even at remote sites, sediment sampling and load estimation are still conventionally based on discharge. With frequent calibration the relation of turbidity to SSC could be used to estimate suspende...
Suspended Sediment Estimation for Rivers using Artificial Neural Networks and Sediment Rating Curves
The methods available for sediment concentration and flux estimation are largely empirical, with sediment rating curves being the most widely applied. In this study, a comparison is made between artificial neural networks (ANNs) and sediment rating curves for two rivers with very similar catchment areas and characteristics in the north of England. Data from one river are used to estimate sedime...
Accurately determining sediment loads is necessary for managing river environments but difficult because multiple processes can lead to large discharge-independent changes in transport. Thus, estimations of load using discharge–sediment rating curves fit sparse or historical sediment-transport measurements be inaccurate, necessitating alternative approaches reduce uncertainty. Continuous uncert...
Suspended sediment (SS) flux in a river is an important parameter for the watershed management. The large extend of watersheds areas and limited of sediment stations measurement have been caused that different methods have been developed to SS estimation. In this study, 42 sediment measurement stations existed in south and southeast of the Caspian Sea with over 20 year period was chosen. The ...
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