Results 101 to 110 of about 83,237 (330)
River Research and Applications, EarlyView.ABSTRACT Sloughs are slow‐moving or still water systems that serve as an important ecosystem component connecting rivers and floodplains such as the Apalachicola River in northwest Florida. However, sloughs of the Apalachicola River have become hydrologically disconnected from the mainstem due to the impact of failed navigation projects such as channel
Love Kumar +6 more
wiley +1 more source
Multifractal Description of Streamflow and Suspended Sediment Concentration Data from Indian River Basins [PDF]
arXiv, 2019 This study investigates the multifractality of streamflow data of 192 stations located in 13 river basins in India using the Multifractal Detrended Fluctuation Analysis (MF-DFA). The streamflow datasets of different river basins displayed multifractality and long term persistence with a mean exponent of 0.585.
arxiv
River Research and Applications, EarlyView.ABSTRACT Streambank erosion is an important source of sediment to river systems but is difficult to quantify at watershed scales. In this study, high‐resolution Light Detection and Ranging (LiDAR) measurements collected from 2009 and 2020 were used to quantify the difference in land surface elevation that occurred along the fourth and fifth‐order ...
Calvin F. Wolter +3 more
wiley +1 more source
Snowmelt rate dictates streamflow [PDF]
Geophysical Research Letters, 2016 AbstractDeclining mountain snowpack and earlier snowmelt across the western United States has implications for downstream communities. We present a possible mechanism linking snowmelt rate and streamflow generation using a gridded implementation of the Budyko framework.
T. B. Barnhart +10 more
openaire +5 more sources
An intelligent algorithm to fast and accurately detect chaotic correlation dimension
River, EarlyView.Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. The correlation dimension method, as one of the most useful methods, has been applied in many studies to investigate the chaos and detect the intrinsic dimensions
Mengyan Shen +3 more
wiley +1 more source
Multimodel combination techniques for analysis of hydrological simulations: Application to distributed model intercomparison project results [PDF]
, 2006 This paper examines several multimodel combination techniques that are used for streamflow forecasting: the simple model average (SMA), the multimodel superensemble (MMSE), modified multimodel superensemble (M3SE), and the weighted average method (WAM ...
Ajami, NK +3 more
core +1 more source
Fast-Slow Streamflow Model Using Mass-Conserving LSTM [PDF]
Proceedings of the 38th International Conference on Machine
Learning 2021, 2021 Streamflow forecasting is key to effectively managing water resources and preparing for the occurrence of natural calamities being exacerbated by climate change. Here we use the concept of fast and slow flow components to create a new mass-conserving Long Short-Term Memory (LSTM) neural network model.
arxiv
Frontiers in Water, 2020 Streamflow in arid and semi-arid regions is predominantly temporary, an integral part of mountain block hydrology and of significant importance for groundwater recharge and biogeochemical processes.
Erika L. Gallo +4 more
doaj +1 more source
Scientific Data, 2023 Streamflow is a vital component of the global water cycle. Long-term streamflow observations are required for water resources planning and management, hydroclimatic extremes analysis, and ecological assessment.
Dipesh Singh Chuphal, Vimal Mishra
doaj +1 more source
Long range experimental hydrologic forecasting for the eastern U.S. [PDF]
, 2002 We explore a strategy for long-range hydrologic forecasting that uses ensemble climate model forecasts as input to a macroscale hydrologic model to produce runoff and streamflow forecasts at spatial and temporal scales appropriate for water management ...
Kumar, Arun +3 more
core +1 more source