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 …
[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 …
[PDF][PDF] Modelling and forecasting seasonal behavior of rainfall in Abuja, Nigeria; A SARIMA approach
The need to have a quantitative means of modelling and predicting rainfall is very important
for the purposes of Airplane movements, Agriculture, planning and policy formulation. The …
for the purposes of Airplane movements, Agriculture, planning and policy formulation. The …
Sustainability indices and risk analysis of drinking water systems in Southwest Nigeria
This study focused on designing a drinking water systems sustainability index for Integrated
Water Resources Management in low-income countries. Water Supply Systems …
Water Resources Management in low-income countries. Water Supply Systems …
Modelling and Prediction of Rainfall in the North-Central Region of Nigeria Using ARIMA and NNETAR Model
EH Chukwueloka, AO Nwosu - Climate Change Impacts on Nigeria …, 2023 - Springer
Modelling and predicting rainfall in research are essential because the inferences from the
study will assist decision-makers, planners, and policymakers in mitigating the effects of …
study will assist decision-makers, planners, and policymakers in mitigating the effects of …
Forecasting monthly rainfall using hybrid time-series models and Monte Carlo simulation amidst security challenges: a case study of five districts from northern Nigeria
Nigeria's agricultural sector relies heavily on rainfall, but insecurity in various regions poses
significant challenges. This study aims to address this issue by identifying secure, rain-rich …
significant challenges. This study aims to address this issue by identifying secure, rain-rich …
Application of ARIMA models in forecasting average monthly rainfall in Birzeit, Palestine
D Aborass, H Abu Hassan, I Sahalash… - International Journal of …, 2022 - fada.birzeit.edu
Town of Birzeit is located on top mountains of the district of Ramallah and Al-Bireh,
Palestine. Its elevation is about 800 meters above sea level and enjoys Mediterranean …
Palestine. Its elevation is about 800 meters above sea level and enjoys Mediterranean …
Trend Analysis of Rainfall for Multi-Purpose Water Resources Projects Using Machine Learning Predictive Model-ARIMA
Rainfall prediction is a major concern in every part of the world especially for the multi-
benefit projects like irrigation, agriculture and flood control where efficient water resource …
benefit projects like irrigation, agriculture and flood control where efficient water resource …
Factors explaining postharvest loss of hot pepper under tropical conditions
OA Obayelu, OM Adegboyega… - … Journal of Vegetable …, 2021 - Taylor & Francis
Major loss of hot pepper (Capsicum chinense Jacquin) in the humid tropics is due to disease
and spoilage during postharvest storage following harvest occurring when conditions are …
and spoilage during postharvest storage following harvest occurring when conditions are …
Time Series Modeling and Forecasting of Expected Monthly Rainfall in Some Regions of Northern Nigeria Amid Security Challenges
Nigeria's crop production is predominantly rainfed. However, some key agricultural regions
in the country are tangling with issues of insecurity and insurgency. Given this, it has …
in the country are tangling with issues of insecurity and insurgency. Given this, it has …