Modeling the spatial and temporal dynamics of riparian vegetation induced by river flow fluctuation
Sign Up to like & getrecommendations! Published in 2018 at "Ecology and Evolution"
DOI: 10.1002/ece3.3886
Abstract: Abstract River flow fluctuation has an important influence on riparian vegetation dynamics. A temporally segmented stochastic model focusing on a same‐aged population is developed for the purpose of describing both spatial and temporal dynamics of… read more here.
Keywords: vegetation; model; river flow; flow fluctuation ... See more keywords
Collateral benefits: River flow normalization for endangered fish enabled riparian rejuvenation
Sign Up to like & getrecommendations! Published in 2024 at "River Research and Applications"
DOI: 10.1002/rra.4255
Abstract: Like most rivers worldwide, the transboundary North American Kootenay/i River has experienced multiple impacts including watershed developments, river channelization, and floodplain clearing, draining, and diking. Construction of Libby Dam was authorized by the 1964 Columbia… read more here.
Keywords: flow normalization; collateral benefits; river flow; normalization endangered ... See more keywords
River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3598-7
Abstract: AbstractRiver flow modeling plays an important role in water resources management. This research aims at developing a hybrid model that integrates the feed-forward neural network (FNN) with a hybrid algorithm of the particle swarm optimization… read more here.
Keywords: psogsa; river flow; model; river ... See more keywords
Toward coupling hydrological and meteorological drought characteristics in Lake Urmia Basin, Iran
Sign Up to like & getrecommendations! Published in 2019 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-019-02919-4
Abstract: Investigation of precipitation characteristics on daily, monthly, and annual time scales can contribute to gaining important information related to temporal and spatial distribution of precipitation or even flow rate challenges (e.g., hydrological droughts). The low… read more here.
Keywords: flow rate; river flow; precipitation; time ... See more keywords
National-scale analysis of future river flow and soil moisture droughts: potential changes in drought characteristics
Sign Up to like & getrecommendations! Published in 2019 at "Climatic Change"
DOI: 10.1007/s10584-019-02528-0
Abstract: The potential impact of climate change on drought is of increasing concern, especially due to recent occurrences of major events across the globe. Here a national-scale grid–based hydrological model is used to investigate potential future… read more here.
Keywords: river flow; future; national scale; soil moisture ... See more keywords
Influence of elevated river flow on hypoxia occurrence, nutrient concentration and microbial dynamics in a tropical estuary
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-020-08625-3
Abstract: We sampled the Klang estuary during the inter-monsoon and northeast monsoon period (July–Nov 2011, Oct–Nov 2012), which coincided with higher rainfall and elevated Klang River flow. The increased freshwater inflow into the estuary resulted in… read more here.
Keywords: river flow; elevated river; klang estuary; hypoxia ... See more keywords
Newly explored machine learning model for river flow time series forecasting at Mary River, Australia
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-020-08724-1
Abstract: Hourly river flow pattern monitoring and simulation is the indispensable precautionary task for river engineering sustainability, water resource management, flood risk mitigation, and impact reduction. Reliable river flow forecasting is highly emphasized to support major… read more here.
Keywords: machine; river flow; mary river; river ... See more keywords
Extent of detection of hidden relationships among different hydrological variables during floods using data-driven models
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-021-09499-9
Abstract: Understanding of flood dynamics forms the basis for the leading water resource management and flood risk mitigation practices. In particular, accurate prediction of river flow during massive flood events and capturing the hysteretic behavior of… read more here.
Keywords: river flow; driven models; relationships among; hidden relationships ... See more keywords
Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms
Sign Up to like & getrecommendations! Published in 2020 at "Water Resources Management"
DOI: 10.1007/s11269-020-02484-w
Abstract: Monitoring hourly river flows is indispensable for flood forecasting and disaster risk management. The objective of the present study is to develop a suite of hourly river flow forecasting models for the Albert river, located… read more here.
Keywords: hourly river; machine learning; river flow; flow forecasting ... See more keywords
Exploring the applicability of the experiment-based ANN and LSTM models for streamflow estimation
Sign Up to like & getrecommendations! Published in 2024 at "Earth Science Informatics"
DOI: 10.1007/s12145-024-01332-4
Abstract: The Yeşilırmak River Basin in northern Türkiye is crucial for the region’s water supply, agriculture, hydroelectric power generation, and clean drinking water. The primary goal of this study is to determine which modeling approach is… read more here.
Keywords: lstm models; river flow; applicability experiment; exploring applicability ... See more keywords
Prediction of river flow using hybrid neuro-fuzzy models
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-018-4079-0
Abstract: The complex nature of hydrological phenomena, like rainfall and river flow, causes some limitations for some admired soft computing models in order to predict the phenomenon. Evolutionary algorithms (EA) are novel methods that used to… read more here.
Keywords: river; river flow; day ahead; neuro fuzzy ... See more keywords