Optimized integration of solar energy and liquefied natural gas regasification for sustainable urban development: Dynamic modeling, data-driven optimization, and …

C Yang, TUK Nutakki, MA Alghassab, S Alkhalaf… - Journal of Cleaner …, 2024 - Elsevier
As sustainable urban communities continue to seek alternative energy sources, this study
explores the inclusion of renewable resources in the energy mix. With a focus on liquefied …

Trace element pollution tracking in the complex multi-aquifer groundwater system of Al-Hassa oasis (Saudi Arabia) using spatial, chemometric and index-based …

SI Abba, MA Yassin, SMH Shah, JC Egbueri… - Environmental …, 2024 - Elsevier
In a global context, trace element pollution assessment in complex multi-aquifer
groundwater systems is important, considering the growing concerns about water resource …

Monitoring landuse change in Uchhali and Khabeki wetland lakes, Pakistan using remote sensing data

RW Aslam, H Shu, A Tariq, I Naz, MN Ahmad… - Gondwana …, 2024 - Elsevier
Although it is a globally significant wetland, the ecological environment of Soon valley
(Ucchali and Khabeki wetland lakes, Pakistan) is being negatively impacted by the rapid …

From oil and mineral extraction to renewable energy: Analyzing the efficiency of green technology innovation in the transformation of the oil and gas sector in the …

N Li, A Dilanchiev, G Mustafa - Resources Policy, 2023 - Elsevier
This study explores the transformation process within the oil and gas sector of the extractive
industry. It examines the move from conventional oil and mineral extraction methods towards …

[HTML][HTML] Recent Advances in Dielectric Properties-Based Soil Water Content Measurements

MI Abdulraheem, H Chen, L Li, AY Moshood, W Zhang… - Remote Sensing, 2024 - mdpi.com
Dielectric properties are crucial in understanding the behavior of water within soil,
particularly the soil water content (SWC), as they measure a material's ability to store an …

Times Series Forecasting of Monthly Rainfall using Seasonal Auto Regressive Integrated Moving Average with EXogenous Variables (SARIMAX) Model

S Mulla, CB Pande, SK Singh - Water Resources Management, 2024 - Springer
In this study, the monthly rainfall time series forecasting was investigated based on the
effectiveness of the Seasonal Auto Regressive Integrated Moving Average with EXogenous …

[HTML][HTML] Quantifying the impacts of climate and land cover changes on the hydrological regime of a complex dam catchment area

MU Masood, S Haider, M Rashid, MS Aldlemy… - Sustainability, 2023 - mdpi.com
In this study, hydrological modeling at the watershed level is used to assess the impacts of
climate and land use changes on the catchment area of the Khanpur Dam, which is an …

Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development

CB Pande, JC Egbueri, R Costache, LM Sidek… - Journal of Cleaner …, 2024 - Elsevier
Abstract Accurate prediction of Land Surface Temperature (LST) is critical for understanding
and mitigating the effects of climate change and land use dynamics. This study proposes a …

[HTML][HTML] Modelling soil compaction parameters using an enhanced hybrid intelligence paradigm of ANFIS and improved grey wolf optimiser

A Bardhan, RK Singh, S Ghani, G Konstantakatos… - Mathematics, 2023 - mdpi.com
The criteria for measuring soil compaction parameters, such as optimum moisture content
and maximum dry density, play an important role in construction projects. On construction …

Intelligent mapping of geochemical anomalies: Adaptation of DBSCAN and mean-shift clustering approaches

M Hajihosseinlou, A Maghsoudi… - Journal of Geochemical …, 2024 - Elsevier
Cluster analysis can be used to organize samples and generate ideas regarding the
multivariate geochemistry of given dataset. Traditional clustering techniques have the …