Application of classification machine learning algorithms for characterizing nutrient transport in a clay plain agricultural watershed
Excess nutrients in surface water and groundwater can lead to water quality deterioration in
available water resources. Thus, the classification of nutrient concentrations in water …
available water resources. Thus, the classification of nutrient concentrations in water …
Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia
Providing an accurate spatiotemporal distribution of rainfall and filling data gaps are pivotal
for effective water resource management. This study focuses on the Asir region in the …
for effective water resource management. This study focuses on the Asir region in the …
Application of machine learning and remote sensing for gap-filling daily precipitation data of a sparsely gauged basin in East Africa
Access to spatiotemporal distribution of precipitation is needed in many hydrological
applications. However, gauges often have spatiotemporal gaps. To mitigate this, we …
applications. However, gauges often have spatiotemporal gaps. To mitigate this, we …
[HTML][HTML] Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed
Prediction and quantification of nutrient concentrations in surface water has gained
substantial attention during recent decades because excess nutrients released from …
substantial attention during recent decades because excess nutrients released from …
[HTML][HTML] Classification of daily heavy precipitation patterns and associated synoptic types in the Campania Region (southern Italy)
V Capozzi, C Annella, G Budillon - Atmospheric Research, 2023 - Elsevier
Abstract Using a 20-year (2002− 2021) dataset of daily precipitation collected by 107 rain
gauges in the period from October to May, this study introduces a classification of the main …
gauges in the period from October to May, this study introduces a classification of the main …
[HTML][HTML] Comparison of methods for filling daily and monthly rainfall missing data: statistical models or imputation of satellite retrievals?
LV Duarte, KTM Formiga, VAF Costa - Water, 2022 - mdpi.com
Accurate estimation of precipitation patterns is essential for the modeling of hydrological
systems and for the planning and management of water resources. However, rainfall time …
systems and for the planning and management of water resources. However, rainfall time …
Signals of change in the Campania region rainfall regime: An analysis of extreme precipitation indices (2002–2021)
V Capozzi, A Rocco, C Annella… - Meteorological …, 2023 - Wiley Online Library
It is widely known that precipitation is a key variable of the hydrological cycle that is strongly
affected by recent climate changes. Therefore, there is a growing interest in research …
affected by recent climate changes. Therefore, there is a growing interest in research …
Utilization of Machine Learning Approaches for Rainfall Data Imputation: A Systematic Literature Review
W Abdillah, S Fauziati… - … Conference on Computer …, 2023 - ieeexplore.ieee.org
Incomplete data is a frequent issue in rainfall observation data records which can affect the
results of analysis or modeling using rainfall data. Incompleteness of rainfall data can occur …
results of analysis or modeling using rainfall data. Incompleteness of rainfall data can occur …
Enhancing the TRMM precipitation product in diverse regions of Iran through an intelligent-based post-processing approach
R Shahbazdashti, A Sharafati, Y Kheyruri… - Acta Geophysica, 2024 - Springer
The significant role of remote-sensed precipitation data lies in alleviating the absence of
readily accessible daily precipitation data, particularly in developing nations. The TMPA …
readily accessible daily precipitation data, particularly in developing nations. The TMPA …
Developing high resolution monthly gridded precipitation dataset for Afghanistan
The analysis and sustainable management of water resources have been substantially
hampered by the absence of optimum precipitation data in Afghanistan. Using observational …
hampered by the absence of optimum precipitation data in Afghanistan. Using observational …