Logo image
Control of algal blooms in reservoirs with a curtain: a numerical analysis
Journal article   Peer reviewed

Control of algal blooms in reservoirs with a curtain: a numerical analysis

T. Asaeda, H.S. Pham, D.G. Nimal Priyantha, J. Manatunge and G.C. Hocking
Ecological Engineering, Vol.16(3), pp.395-404
2001
url
Link to Published Version *Subscription may be requiredView

Abstract

Two vertical curtains, having depths to cover the epilimnion thickness, were installed across the Terauchi Dam Reservoir in the western island of Japan to curtail the nutrient supply from nutrient-rich inflows to the downstream epilimnion of the reservoir. The withdrawal level was also regulated to keep the downstream epilimnion away from the nutrient supply. This method markedly reduced algal blooming in the reservoir downstream of the curtains during spring and summer. The physical and biological processes in the reservoir ecosystem were analysed using the 2-D reservoir model DYRESM and chemical and biological submodels, to predict the water quality and algal species composition in the reservoir. The horizontal variability was maintained in the model by dividing the horizontal layer into parcels. Temperature, chlorophyll-a, soluble phosphorus, nitrate, ammonium, dissolved oxygen, biochemical oxygen demand, internal nitrogen, internal phosphorus were considered as state variables in the model. The simulated results revealed the mechanism of how algal blooming is reduced, during early spring high algal concentrations consume large amounts of nutrients, which reduces the nutrient supply to the downstream zone of the reservoir, whereas during late spring and summer, nutrient dispersion from the upstream epilimnion to the downstream epilimnion is curtailed by the curtains, markedly reducing algal blooming in the downstream zone.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#6 Clean Water and Sanitation
#13 Climate Action
#14 Life Below Water
#15 Life on Land

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.2 Marine Biology
3.2.216 Lake Ecosystems
Web Of Science research areas
Ecology
Engineering, Environmental
Environmental Sciences
ESI research areas
Environment/Ecology
Logo image