Suspended Sediment Modeling Using a Heuristic Regression Method Hybridized with Kmeans Clustering
نویسندگان
چکیده
The accurate estimation of suspended sediments (SSs) carries significance in determining the volume dam storage, river carrying capacity, pollution susceptibility, soil erosion potential, aquatic ecological impacts, and design operation hydraulic structures. presented study proposes a new method for accurately estimating daily SSs using antecedent discharge sediment information. novel is developed by hybridizing multivariate adaptive regression spline (MARS) Kmeans clustering algorithm (MARS–KM). proposed method’s efficacy established comparing its performance with neuro-fuzzy system (ANFIS), MARS, M5 tree (M5Tree) models predicting at two stations situated on Yangtze River China, according to three assessment measurements, RMSE, MAE, NSE. Two modeling scenarios are employed; data divided into 50–50% model training testing first scenario, test sets swapped second scenario. In Guangyuan Station, MARS–KM showed improvement compared ANFIS, M5Tree methods term RMSE 39%, 30%, 18% scenario 24%, 22%, 8% respectively, while was 34%, 26%, 27% 7%, 16%, 6% Beibei Station. Additionally, provided much more satisfactory estimates only values as inputs.
منابع مشابه
Modeling Suspended Sediment Prediction in River Using a Fuzzy Logic and Multi Linear Regression Approaches
متن کامل
Using Artificial Neural Networks for Modeling Suspended Sediment Concentration
For continuous monitoring of river water quality , this study assesses the potential of using artificial neural networks (ANNs) for modeling the event-based suspended sediments concentration (SSC) in Jiasian diversion weir in southern Taiwan. The hourly data collected include the water discharge, turbidity and SSC during the storm events. The feed forward backpropagation network (BP), generaliz...
متن کاملW-kmeans: Clustering News Articles Using WordNet
Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed suffering however from problems like synonymy, ambiguity and lack of a descriptive content marking of the generated clusters. We are proposing the enhancement of standard kmeans algorithm using the external knowledge fro...
متن کاملNumerical Solution to Generalized Burgers'-Fisher Equation Using Exp-Function Method Hybridized with Heuristic Computation
In this paper, a new heuristic scheme for the approximate solution of the generalized Burgers'-Fisher equation is proposed. The scheme is based on the hybridization of Exp-function method with nature inspired algorithm. The given nonlinear partial differential equation (NPDE) through substitution is converted into a nonlinear ordinary differential equation (NODE). The travelling wave solution i...
متن کاملDetermining Land Units Contributions to Suspended Sediment Yield Using Sediment Fingerprinting Method (Case Study: Tull Bane Basin, Golestan Province)
Fingerprint method is one of the new methods to determine the contribution of suspended sediment in the land units. In this method, a suitable composite (set) of diagnostic properties and a multivariate mixing model are employed to estimate the relative contribution of sediment sources to sediments transported to watershed outlet. This research carried out in the Tull Bane watershed with 3278.9...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sustainability
سال: 2021
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su13094648