Integrated Stochastic Environmental Risk Assessment of the Harbour Area Treatment Scheme (HATS) in Hong Kong

Submarine ocean outfalls are commonly used for the disposal of partially treated effluents in coastal cities. Typically, the greatest environmental risk caused by toxic substances occurs in the near field of the outfall discharge. The ecological impact of the effluent varies greatly under different...

Full description

Saved in:
Bibliographic Details
Published in:Environmental science & technology 2009-05, Vol.43 (10), p.3705-3711
Main Authors: Choi, K.W, Lee, Joseph H.W, Kwok, Kevin W.H, Leung, Kenneth M.Y
Format: Article
Language:English
Subjects:
Ammonia
Applied sciences
Effects
Effluents
Environment
Environmental conditions
Environmental Modeling
Environmental risk
Exact sciences and technology
Geography
Hong Kong
Marine ecology
Monte Carlo simulation
Pollutants
Pollution
Risk Assessment
Sewage
Species Specificity
Stochastic Processes
Tropical Climate
Water Pollution
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Submarine ocean outfalls are commonly used for the disposal of partially treated effluents in coastal cities. Typically, the greatest environmental risk caused by toxic substances occurs in the near field of the outfall discharge. The ecological impact of the effluent varies greatly under different discharge and environmental conditions that are characterized by both regular and stochastic variations. For a comprehensive environmental risk assessment of a coastal discharge, it is necessary to determine both the likelihood and severity of the adverse effects on the biological community. We present the first integrated stochastic (Monte Carlo) environmental risk assessment of a major coastal sewage outfall discharge - the Stonecutters Island outfall of the Harbour Area Treatment Scheme (HATS) in Hong Kong. Unionized ammonia (NH3) is used as the target pollutant. To accurately envisage the ambient concentrations of NH3, a Lagrangian jet model (JETLAG/VISJET) is used to analyze pollutant concentrations in the near field of the outfall. The environmental conditions are simulated from 3D hydrodynamic model simulations over a 4 month period for typical wet and dry seasons. Statistical characteristics of the effluent discharge and receiving water temperature are derived from field data. The probability distribution of predicted exposure concentrations (E C) is generated from this integrated simulation. A species sensitivity distribution, which represents a statistical distribution of threshold sublethal effects levels or benchmark concentrations (B C) for various marine organisms is constructed using available chronic toxicity data. The environmental risk of NH3 on the marine community is characterized by computing statistical distributions of Hazard Quotient (H Q = E C/B C) using Monte Carlo simulation. It is found that the probability of H Q > 1 for HATS Stage 1 (1.6 million m3/day sewage treated with chemically enhanced primary treatment) is around 0.11 for wet season but just about 0.06 for the dry season. The risk increases by about 10% to 0.08−0.13 with additional sewage loads of 0.8 million m3/day at the same level of treatment (HATS Stage 2A). With an upgrade to secondary treatment (HATS Stage 2B), the probability will be reduced to 0.03−0.05. Compared to the use of “worst case” scenarios or point pollution threshold estimates, the present method offers a more holistic ecological assessment, and is much less sensitive to arbitrary choice of model parameter
ISSN:0013-936X
1520-5851
DOI:10.1021/es803244s