1997AgEcon Search (University of Minnesota, USA)Open access

The Economics of Algal Bloom Control

John Kennedy, Kennedy, John O.S.

Open full text 2 citations

Abstract

Concern over the appearance of algal blooms in Summer months on Australian waterways has been increasing in recent years. Some algae are toxic to humans and livestock when ingested. To avoid the dangers of contaminated drinking water, costs must be incurred, either by eliminating nutrient loadings, or taking action to disperse blooms. Such costs may also be worth incurring to prevent the loss of recreation use of waterways and consequent loss of tourism revenue. The aim is to consider the formulation of models to aid in the control of outbreaks of algal blooms, so as to maximise the net present value of social net returns. The complexity of determining the triggering of blooms is discussed. Results from regressing algal cell counts on possible explantory variables such as water flow, water temperature, and nutrient loadings for three sites on the River Murray are presented. Dynamic programming models are formulated with phosphorus in sediments, algal cell count, and water in storage as alternative state variables. The role of rainfall is an important stochastic variable is considered, because flood events lead to substantial nutrient runnoff, and dry periods are associated with low river flow and conditions favourable for the outbreak of blooms.

Open-access reader

About this research paper

What this paper is about

Concern over the appearance of algal blooms in Summer months on Australian waterways has been increasing in recent years. Some algae are toxic to humans and livestock when ingested. To avoid the dangers of contaminated drinking water, costs must be incurred, either by eliminating nutrient loadings, or taking action to disperse blooms. Such costs may also be worth incurring to prevent the loss of recreation use of waterways and consequent loss of tourism revenue. The aim is to consider the formulation of models to aid in the control of outbreaks of algal blooms, so as to maximise the net present value of social net returns. The complexity of determining the triggering of blooms is discussed. Results from regressing algal cell counts on possible explantory variables such as water flow, water temperature, and nutrient loadings for three sites on the River Murray are presented. Dynamic programming models are formulated with phosphorus in sediments, algal cell count, and water in storage as alternative state variables. The role of rainfall is an important stochastic variable is considered, because flood events lead to substantial nutrient runnoff, and dry periods are associated with low river flow and conditions favourable for the outbreak of blooms.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Concern over the appearance of algal blooms in Summer months on Australian waterways has been increasing in recent years. Some algae are toxic to humans and livestock when ingested. To avoid the dangers of contaminated drinking water, costs must be incurred, either by eliminating nutrient loadings, or taking action to disperse blooms. Such costs may also be worth incurring to prevent the loss of recreation use of waterways and consequent loss of tourism revenue. The aim is to consider the formulation of models to aid in the control of outbreaks of algal blooms, so as to maximise the net present value of social net returns. The complexity of determining the triggering of blooms is discussed. Results from regressing algal cell counts on possible explantory variables such as water flow, water temperature, and nutrient loadings for three sites on the River Murray are presented. Dynamic programming models are formulated with phosphorus in sediments, algal cell count, and water in storage as alternative state variables. The role of rainfall is an important stochastic variable is considered, because flood events lead to substantial nutrient runnoff, and dry periods are associated with low river flow and conditions favourable for the outbreak of blooms.

Key concepts: Algal bloom, Nutrient, Environmental science, Algae, Water quality, Phosphorus, Water pollution, Ecology

Related papers

Back to paper searchBrowse research topicsOriginal source
The Economics of Algal Bloom Control — Research Paper | ScholarLens