A Comparison between MLR, MARS, SVR and RF Techniques: Hydrological Time-series Modeling

نویسندگان

چکیده

Pan evaporation modeling is an essential part of water resources management and budget governance. The study's objective was to examine the suitability regression tree-based techniques for estimating pan from climatic variables. Multiple linear (MLR), multivariate adaptive splines (MARS), support vector machine (SVM) random forest (RF) are employed weekly Ranichauri station situated in Mid-Himalayan region Uttarakhand, India. determination most appropriate inputs among variables map done by approaches. data divided into two parts: first three years used calibration remainder one-year model validation. Statistical indices such as root mean square error (RMSE), Nash Sutcliffe coefficient efficiency (NSE), (R2) were assess performance models. Based on scatter plots, results under-predicted over-predicted values. showed that values RMSE ranged 0.542 0.689, NSE 0.953 0.974, highest R2value found SVR testing period. Therefore, be superior can applied predict site. Doi: 10.28991/HEF-2022-03-01-07 Full Text: PDF

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hydrological modeling of outflow channels and chaos regions on Mars

[1] The Martian outflow channels were carved by the eruption of catastrophic floods from groundwater aquifers. This study models the time evolution of a typical outflow channel flood originating within a chaos region. The flood initiates when superlithostatic pore pressures within a confined aquifer lead to the propagation of hydrofractures through the confining cryosphere to the surface. The p...

متن کامل

Exploratory Spectral Analysis of Hydrological Time Series

Current methods of estimation of the univariate spectral density are reviewed and some improvements are suggested. It is suggested that spectral analysis may perhaps be best thought of as another exploratory data analysis (EDA) tool which complements rather than competes with the popular ARIMA model building approach. A new diagnostic check for ARMA model adequacy based on the nonparametric spe...

متن کامل

Modeling and prediction of time-series of monthly copper prices

One of the main tasks to analyze and design a mining system is predicting the behavior exhibited by prices in the future. In this paper, the applications of different prediction methods are evaluated in econometrics and financial management fields, such as ARIMA, TGARCH, and stochastic differential equations, for the time-series of monthly copper prices. Moreover, the performance of these metho...

متن کامل

ذخیره 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: Journal of Human, Earth, and Future

سال: 2022

ISSN: ['2785-2997']

DOI: https://doi.org/10.28991/hef-2022-03-01-07