Analysing the trend of rainfall in Asir region of Saudi Arabia using the family of Mann-Kendall tests, innovative trend analysis, and detrended fluctuation analysis
The present study is designed to analyse the annual rainfall variability and trend in 30
meteorological stations of the Asir region for the period of 1970–2017 using the Mann …
meteorological stations of the Asir region for the period of 1970–2017 using the Mann …
Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting
Streamflow forecasting plays a key role in improvement of water resource allocation,
management and planning, flood warning and forecasting, and mitigation of flood damages …
management and planning, flood warning and forecasting, and mitigation of flood damages …
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …
patterns in environmental data. Despite their capabilities, these novel technologies have not …
[PDF][PDF] CDLSTM: A novel model for climate change forecasting.
MA Haq - Computers, Materials & Continua, 2022 - researchgate.net
Water received in rainfall is a crucial natural resource for agriculture, the hydrological cycle,
and municipal purposes. The changing rainfall pattern is an essential aspect of assessing …
and municipal purposes. The changing rainfall pattern is an essential aspect of assessing …
Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering
Hydrology is a mature physical science based on application of first principles. However, the
water system is complex and its study requires analysis of increasingly large data available …
water system is complex and its study requires analysis of increasingly large data available …
Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR …
Agriculture, meteorological, and hydrological drought is a natural hazard which affects
ecosystems in the central India of Maharashtra state. Due to limited historical data for …
ecosystems in the central India of Maharashtra state. Due to limited historical data for …
[HTML][HTML] How does economic complexity affect natural resource extraction in resource rich countries?
Several studies debate whether natural resources benefit or hurt an economy. In natural
resource-rich economies researchers cannot conclude it. This study examines the …
resource-rich economies researchers cannot conclude it. This study examines the …
Groundwater level modeling using augmented artificial ecosystem optimization
Nature-inspired optimization is an active area of research in the artificial intelligence (AI)
field and has recently been adopted in hydrology for the calibration (training) of both process …
field and has recently been adopted in hydrology for the calibration (training) of both process …
Spatiotemporal nexus between vegetation change and extreme climatic indices and their possible causes of change
Climate extremes have a significant impact on vegetation. However, little is known about
vegetation response to climatic extremes in Bangladesh. The association of Normalized …
vegetation response to climatic extremes in Bangladesh. The association of Normalized …
Spatiotemporal trends in reference evapotranspiration and its driving factors in Bangladesh
This research investigates spatiotemporal variations in ETo and the controlling factor of
those variations using the modified Mann-Kendall test, empirical Bayesian kriging model …
those variations using the modified Mann-Kendall test, empirical Bayesian kriging model …