Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …
sustainability of water resources. The literature has shown great potential for nature-inspired …
[HTML][HTML] Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka
Hydrologic models to simulate river flows are computationally costly. In addition to the
precipitation and other meteorological time series, catchment characteristics, including soil …
precipitation and other meteorological time series, catchment characteristics, including soil …
On the Spatial Scale Dependence of Long‐Term Persistence in Global Annual Precipitation Data and the Hurst Phenomenon
E O'Connell, G O'Donnell… - Water Resources …, 2023 - Wiley Online Library
Precipitation deficits are the main physical drivers of droughts across the globe, and their
level of persistence can be characterized by the Hurst coefficient H (0.5< H< 1), with high H …
level of persistence can be characterized by the Hurst coefficient H (0.5< H< 1), with high H …
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
R Maiti, BG Menon, A Abraham - Expert Systems with Applications, 2024 - Elsevier
River flow forecasting is important for flood prediction and effective utilization of water
resources. This study proposed a comprehensive methodology that simultaneously enables …
resources. This study proposed a comprehensive methodology that simultaneously enables …
[HTML][HTML] Predicting daily streamflow in a cold climate using a novel data mining technique: Radial M5 Model Tree
In this study, the viability of radial M5 model tree (RM5Tree) is investigated in prediction and
estimation of daily streamflow in a cold climate. The RM5Tree model is compared with the …
estimation of daily streamflow in a cold climate. The RM5Tree model is compared with the …
[图书][B] Pengantar Perencanaan Wilayah dan Kota
LA Milasari, R Doviyanto, M Satar, F Baharuddin… - 2023 - books.google.com
Berbagai permasalahan pembangunan muncul dari kebijakan, perencanaan dan
pelaksanaan rencana pembangunan bersifat sektoral. Untuk mengintegrasikan …
pelaksanaan rencana pembangunan bersifat sektoral. Untuk mengintegrasikan …
[PDF][PDF] Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree. Water 2022, 14, 1449
In this study, the viability of radial M5 model tree (RM5Tree) is investigated in prediction and
estimation of daily streamflow in a cold climate. The RM5Tree model is compared with the …
estimation of daily streamflow in a cold climate. The RM5Tree model is compared with the …
[HTML][HTML] A hybrid SARIMA-Prophet model for predicting historical streamflow time-series of the Sobat River in South Sudan
MGS Kenyi, K Yamamoto - Discover Applied Sciences, 2024 - Springer
Accurate river streamflow forecasting is pivotal for effective water resource planning,
infrastructure design, utilization, optimization, and flood planning and warning. Streamflow …
infrastructure design, utilization, optimization, and flood planning and warning. Streamflow …
The Impact of Thawing Permafrost on Arctic Catchments: Arctic Rivers in a Changing Landscape
AMH Hinzman - 2024 - research.vu.nl
The Arctic is warming at an unprecedented rate. Warming causes the thawing of the
permafrost, which affects how the catchments store and release water. The relationship …
permafrost, which affects how the catchments store and release water. The relationship …