Results 61 to 70 of about 8,287 (259)

Search and Passage Are Decoupled for Migrating Trout Kelts at Multi‐Exit Dam

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Longitudinal and lateral river connectivity have been drastically reduced over time, with hydropower development as a major driver of fragmentation. While fishways are widely implemented to support upstream migration, downstream passage remains a major challenge.
Halvor Kjærås   +5 more
wiley   +1 more source

MONITORAMENTO DA QUALIDADE DA ÁGUA NO MANANCIAL DO RIO SANTO ANASTÁCIO

open access: yesColloquium Exactarum, 2011
In order to characterize spatially and temporarily the Santo Anastacio River according to limnological factors, four sampling stations were established in the main course of the river.
Paulo Ponce Arroio Junior   +2 more
doaj   +1 more source

Seasonal Variation in Carbon Dynamics in the Lower Tocantins River: Influence of Discharge and Environmental Drivers

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Tropical rivers play a key role in regional carbon budgets, yet greenhouse gas (GHG) dynamics in regulated systems remain poorly understood. This study investigates the seasonal variability of carbon dioxide (CO2) and methane (CH4) concentrations, isotopic composition (δ13C), and river‐atmosphere fluxes in the lower Tocantins River, a ...
Maria Gabriella da S. Araújo   +5 more
wiley   +1 more source

Fish Fauna and Fishery Evaluation of Sapanca Lake

open access: yesTurkish Journal of Bioscience and Collections
Scientific data on fish communities in Türkiye’s lakes and rivers, particularly long-term studies with continuity, remain scarce. However, Sapanca Lake is an exception due to its strategic location in the Marmara Region, which has attracted significant ...
Özcan Gaygusuz   +2 more
doaj   +1 more source

A Method for Identifying Rainfall‐Runoff Events at Sub‐Hourly Time Scales: Applications for Nature‐Based Solutions and Water Resources

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Understanding how changes in catchment conditions affect ecohydrology in response to rainfall‐runoff events is crucial when developing informed strategies to enhance flow resilience, restore natural habitats, interpret water quality data or reduce flood risk.
Josie Ashe   +7 more
wiley   +1 more source

The Fargo‐Moorhead Diversion: Flood Protection or Sprawl Promotion?

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Urban growth and development opportunities are needed worldwide, but growth and development must be hazard‐aware and should follow smart‐growth principles. The $2.89 billion Fargo‐Moorhead Area Diversion Project was designed to provide flood protection following damaging floods on the Red River of the North.
Nicholas Pinter   +2 more
wiley   +1 more source

Limnology [PDF]

open access: yesNature, 1936
M. J. Harbaugh, Paul S. Welch
openaire   +2 more sources

Phytoplankton community and limnology of Chatla floodplain wetland of Barak valley, Assam, North-East India

open access: yesKnowledge and Management of Aquatic Ecosystems, 2013
Phytoplankton diversity was investigated over a period of two years (2006 to 2008) in Chatla floodplain wetland in Barak valley, Assam, North-East India.
Sultana Laskar H., Gupta S.
doaj   +1 more source

Advances in limnological and oceanographic research in Italy: the history of the Italian Association of Limnology and Oceanography (AIOL)

open access: yesAdvances in Oceanography and Limnology, 2010
On the occasion of the 35th year from the publication of the first issue of the Proceedings of the Italian Association of Limnology and Oceanography (AIOL) we present here the results of a meta-analysis of all of the material included in the AIOL ...
Antonio Pusceddu   +2 more
doaj   +1 more source

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

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