Aquatic environments resilience: Third-generation sequencing of fungi community of urban wastewater treatment plant and Nile River (Egypt) DOI
Mohammed Yosri, Ahmad Z. Al‐Herrawy, Samah M. Bassem

et al.

Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 16, 2024

Language: Английский

Spatiotemporal dynamics of cyanobacterial blooms: Integrating machine learning and feature selection techniques with uncrewed aircraft systems and autonomous surface vessel data DOI Creative Commons

Mohammed S. Islam,

Padmanava Dash,

John Preston Liles

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 124878 - 124878

Published: April 9, 2025

Language: Английский

Citations

0

A Simple Artificial Neural Model to Predict Dambovita River Temperature Affected by Urban Heat Islands in Bucharest City DOI Creative Commons
Cristina Sorana Ionescu, Ioana Opriş, Daniela Elena Gogoaşe Nistoran

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(9), P. 1513 - 1513

Published: April 25, 2024

Water bodies can offer local microclimates that have the potential to attenuate effects of urban heat islands by reducing temperature. This capability is shaded when river channelized. In such cases, temperature rises during hot periods, leading negative impacts on water quality. The main aim this paper develop a simple model predict Dâmbovița River at its exit from Bucharest City, capital Romania. location chosen based historical critical impacts, in terms extreme heatwaves took place summers, as well future possible risks due climate change. prediction an artificial neural network uses Levenberg–Marquardt algorithm, stability and rapid convergence capabilities. forecasts, with accuracy ±1 °C, ungauged, downstream location, function measured air upstream temperatures. proposed represents first attempt provide managers City useful tool will allow them take timely measures counteract unwanted be generated high

Language: Английский

Citations

2

Utilizing Multi-Source Datasets for the Reconstruction and Prediction of Water Temperature in Lake Miedwie (Poland) DOI Creative Commons
Mariusz Ptak, Senlin Zhu, Teerachai Amnuaylojaroen

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(15), P. 2753 - 2753

Published: July 27, 2024

Water temperature is a fundamental parameter of aquatic ecosystems. It directly influences most processes occurring within them. Hence, knowledge this parameter’s behavior, based on long-term (reliable) observations, crucial. Gaps in these observations can be filled using contemporary methodological solutions. Difficulties reconstructing water arise from the selection an appropriate methodology, and overcoming them involves proper input data choosing optimal modeling approach. This study employed air2water model Landsat satellite imagery to reconstruct Lake Miedwie (the fifth largest Poland), for which field conducted by Institute Meteorology Management—National Research ended late 1980s. The approach images case yielded less accurate results than analyses. However, it important emphasize advantage over point measurements spatial interpretation lake thermal conditions. In studied case, due lake’s shape, surface layer showed no significant contrasts. Based data, changes were determined, historically (1972–2023) amounted 0.20 °C per decade. According adopted climate change scenarios end 21st century (SSP245 SSP585), average annual will higher 1.8 3.2 °C, respectively. should emphasized that current simulated are unfavorable, especially considering impact quality. From economic perspective, serves as reservoir drinking water, regime considered management ecosystem.

Language: Английский

Citations

2

What's hot and what's not in the aquatic sciences—Understanding and improving news coverage DOI Creative Commons
John Downing

Limnology and Oceanography Letters, Journal Year: 2024, Volume and Issue: 9(6), P. 674 - 682

Published: July 25, 2024

Abstract The frequency of news reporting about scientific topics is positively related to public interest as well support for science funding and policy change. This correlation can also have positive impacts on individual careers depending the chosen subject area research. Analysis a database shows trends in several popular research areas aquatic sciences. appearance varies over more than three orders magnitude. Temporal vary from steeply increasing (+25% per year) declining (−4% year). Suggestions are offered concerning framing overall better communication findings journalists general public. understanding may increase prominence, interest, funding, change areas.

Language: Английский

Citations

0

Aquatic environments resilience: Third-generation sequencing of fungi community of urban wastewater treatment plant and Nile River (Egypt) DOI
Mohammed Yosri, Ahmad Z. Al‐Herrawy, Samah M. Bassem

et al.

Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 16, 2024

Language: Английский

Citations

0