Time series analysis of climate variables using seasonal ARIMA approach
The dynamic structure of climate is governed by changes in precipitation and temperature
and can be studied by time series analysis of these factors. This paper describes …
and can be studied by time series analysis of these factors. This paper describes …
[PDF][PDF] Application of SARIMA model to forecasting monthly flows in Waterval River, South Africa
Abstract Knowledge of future river flow information is fundamental for development and
management of a river system. In this study, Waterval River flow was forecasted by SARIMA …
management of a river system. In this study, Waterval River flow was forecasted by SARIMA …
Suspended sediment yield modeling in Mahanadi River, India by multi-objective optimization hybridizing artificial intelligence algorithms
River sediment produced through weathering is one of the principal landscape modification
processes on earth. Rivers are an integral part of the hydrologic cycle and are the major …
processes on earth. Rivers are an integral part of the hydrologic cycle and are the major …
Evaluation of preprocessing techniques for improving the accuracy of stochastic rainfall forecast models
Accurate rainfall forecasting is one of the most important and challenging hydrological
modeling tasks with significant benefits for many sectors of the economy. This study presents …
modeling tasks with significant benefits for many sectors of the economy. This study presents …
Multi-objective genetic algorithm optimization of artificial neural network for estimating suspended sediment yield in Mahanadi River basin, India
Rivers are an integral part of the hydrological cycle and are the major geological agents
which erode the continents and transport water and sediments to the oceans. Thus rivers act …
which erode the continents and transport water and sediments to the oceans. Thus rivers act …
Suspended sediment yield estimation using genetic algorithm-based artificial intelligence models: case study of Mahanadi River, India
The estimation of sediment yield is important in design, planning and management of river
systems. Unfortunately, its accurate estimation using traditional methods is difficult as it …
systems. Unfortunately, its accurate estimation using traditional methods is difficult as it …
[HTML][HTML] Comparing SANN and SARIMA for forecasting frequency of monthly rainfall in Umuahia
This paper adopted the use of artificial neural network (ANN) which is also a nonlinear
model in contributing to the debate of comparing different methods of forecasting frequency …
model in contributing to the debate of comparing different methods of forecasting frequency …
Prediction of suspended sediment yield by artificial neural network and traditional mathematical model in Mahanadi river basin, India
Estimation of sediment yield is essential towards understanding the mass balance between
the ocean and land. Direct measurement of suspended sediment is difficult as it needs …
the ocean and land. Direct measurement of suspended sediment is difficult as it needs …
Time series modelling and forecasting of mean annual rainfall over MRP complex region Chhattisgarh associated with climate variability
The purpose of time series analysis is to model random processes and forecast future series
using historical data. Nine rain gauge stations over the MRP complex were studied using a …
using historical data. Nine rain gauge stations over the MRP complex were studied using a …
Identification of monthly municipal water demand system based on autoregressive integrated moving average model tuned by particle swarm optimization
S Boubaker - Journal of Hydroinformatics, 2017 - iwaponline.com
In this paper, a modeling-identification approach for the monthly municipal water demand
system in Hail region, Saudi Arabia, is developed. This approach is based on an auto …
system in Hail region, Saudi Arabia, is developed. This approach is based on an auto …