scholarly journals Growth of Legionella during COVID-19 lockdown stagnation

2021 ◽  
Vol 7 (1) ◽  
pp. 10-15
Author(s):  
William J. Rhoads ◽  
Frederik Hammes
Keyword(s):  
Water Quality ◽  
Communication Strategies ◽  
Quality Research ◽  
Improve Water Quality

While “avoiding stagnation” has been the mantra of building water experts, support for how this terminology is used is not overly convincing. Carefully nuanced COVID stagnation studies can improve water quality research and communication strategies.

Performance-Based Management to Improve Water Quality

2005 ◽  
Author(s):  
John Rodecap ◽  
Chad Ingels
Keyword(s):  
Water Quality ◽  
Improve Water Quality

Action research to improve water quality in Canada’s Rideau Canal: how do local groups reshape environmental governance?

2021 ◽  
pp. 1-20
Author(s):  
Isha Mistry ◽  
Christine Beaudoin ◽  
Jyoti Kotecha ◽  
Holly Evans ◽  
Manuel Stevens ◽  
...  
Keyword(s):  
Water Quality ◽  
Action Research ◽  
Environmental Governance ◽  
Improve Water Quality ◽  
Rideau Canal

scholarly journals Statistical Modeling of Fine Sediments Dredged Using a Variable Area Dredging Suction Head to Improve Water Quality

Hydrology ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 98
Author(s):  
Leigh A. Provost ◽  
Robert Weaver ◽  
Nezamoddin N. Kachouie
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Sedimentation Rates ◽  
Agricultural Lands ◽  
Design Efficiency ◽  
Fine Sediments ◽  
Grain Sizes ◽  
Fine Grain ◽  
Sediment Sampling ◽  
Improve Water Quality

The changing climate affects the agricultural lands, and, in turn, the changes in agricultural lands alter the watershed. A major concern regarding waterbodies is the increased sedimentation rates due to climate change. To improve the water quality, it is crucial to remove fine sediments. Using current environmental dredging methods is challenging because of the sediment volumes that must be dredged, the absence of nearby disposal sites, and the shoreline infrastructure at the dredging locations. To address these issues, we used a surgical dredging method with a variable area suction head that can easily maneuver around the docks, pilings, and other infrastructures. It can also isolate the fine grain material to better manage the dredged volumes in the seabed where nutrients are typically adhered. To this end, a statistical analysis of the dredged samples is essential to improve the design efficiency. In this work, we collected several samples using a variable area suction head with different design settings. The collected samples using each design setting were then used to model the distributions of the different grain sizes in the dredged sediments. The proposed statistical model can be effectively used for the prediction of sediment sampling outcomes to improve the gradation of the fine sediments.

Sign in / Sign up

Export Citation Format

Share Document