Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing

MA Alawsi, SL Zubaidi, NSS Al-Bdairi, N Al-Ansari… - Hydrology, 2022 - mdpi.com
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …

A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality's parameters: Current trends and future directions

ZS Khudhair, SL Zubaidi, S Ortega-Martorell… - Environments, 2022 - mdpi.com
Water quality has a significant influence on human health. As a result, water quality
parameter modelling is one of the most challenging problems in the water sector. Therefore …

Sustainability assessment of wastewater treatment techniques in urban areas of Iraq using multi-criteria decision analysis (MCDA)

II Omran, NH Al-Saati, HH Al-Saati… - Water Practice & …, 2021 - iwaponline.com
Sustainable development is based on environmental, social, economic, and technical
dimensions. In this study, the sustainability of wastewater treatment techniques in urban …

Evaluation water scarcity based on GIS estimation and climate-change effects: A case study of Thi-Qar Governorate, Iraq

S Ethaib, SL Zubaidi, N Al-Ansari - Cogent Engineering, 2022 - Taylor & Francis
This work aims to evaluate water scarcity in Thi-Qar governorate, Iraq, based on GIS
estimation, environmental data, climate-change effects, and detection of the changes in …

Performance of green mortar made from locally available waste tiles and silica fume

MK Obaid, MS Nasr, IM Ali… - Journal of …, 2021 - researchonline.ljmu.ac.uk
The continuous depletion of natural resources used in concrete require vital replacement
materials to reduce the consumptions of the natural resources. Moreover, the growth in the …

Statistical modeling of monthly streamflow using time series and artificial neural network models: Hindiya Barrage as a case study

NH Al-Saati, II Omran, AA Salman… - Water Practice & …, 2021 - iwaponline.com
Abstract Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins models combine
the autoregressive and moving average models to a stationary time series after the …

Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective

SJ Mohammed, SL Zubaidi, S Ortega-Martorell… - Cogent …, 2022 - Taylor & Francis
The community's well-being and economic livelihoods are heavily influenced by the water
level of watersheds. The changes in water levels directly affect the circulation processes of …

Review of recent trends in the hybridisation of preprocessing-based and parameter optimisation-based hybrid models to forecast univariate streamflow

BA Kareem, SL Zubaidi, N Al-Ansari… - … -Computer Modeling in …, 2024 - diva-portal.org
Forecasting river flow is crucial for optimal planning, management, and sustainability using
freshwater resources. Many machine learning (ML) approaches have been enhanced to …

[HTML][HTML] Integrating Digital Twins and Artificial Intelligence Multi-Modal Transformers into Water Resource Management: Overview and Advanced Predictive …

TA Syed, MY Khan, S Jan, S Albouq, SS Alqahtany… - AI, 2024 - mdpi.com
Various Artificial Intelligence (AI) techniques in water resource management highlight the
current methodologies' strengths and limitations in forecasting, optimization, and control. We …

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network‐Based Marine Predators Algorithm

SJ Mohammed, SL Zubaidi, N Al-Ansari… - Advances in Civil …, 2022 - Wiley Online Library
Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal
fluctuations in climatic factors and complex physical processes. This paper proposes a novel …