title: Spatial modelling of the probability of obtaining a detectable concentration of ammonia in Moreton Bay, Australia.
abstract: Ammonia is an important water quality variable, which in excess, can be detrimental to waterways and their ecosystems. In the Ecosystem Health Monitoring Program in South-east Queensland ammonia is monitored monthly, however, often more than 50% of the ammonia observations in Moreton Bay are below detection limit, making it difficult to draw useful inferences. In this paper a clipped Gaussian random field is used to spatially model and map the probability of detectable concentration of ammonia. The methodology is applied to the Moreton Bay samples collected in February 2005. The results suggest that for this month the oceanic impacted areas have higher probability of detectable ammonia concentration than the areas closer to the main sources of anthropogenic inputs.
authors.affiliation: CSIRO Mathematical and Information Sciences, Private Bag 33, South Clayton MDC, VIC 3169, Australia. Peter.Toscas@csiro.au
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Toscas
mesh_terms: D000641:Ammonia / Q000032:analysis*; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D019015:Geologic Sediments; D008390:Markov Chains; D016011:Normal Distribution; D014739:Victoria; D014874:Water Pollutants, Chemical / Q000032:analysis
chemical_list: D014874:Water Pollutants, Chemical; D000641:Ammonia