Environmental risk mapping of pollutants: State of the art and communication aspects

Lahr, J.; Kooistra, Lammert

doi:10.1016/j.scitotenv.2009.10.045

Cited by 114 publications

(84 citation statements)

References 62 publications

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“…For the specific example, we assume concentration as a proxy of risk, therefore neglecting the variability of receptor conditions. According to Lahr and Kooistra [28,29], then this is an example of a contamination map. When no information on actual impacts is available, one may still combine different risk factors based on prior knowledge.…”

Section: Methodsmentioning

confidence: 99%

“…As mapping technologies become more and more routinely used, attention for the underlying methods of risk mapping and visualization is growing (e.g., [2,13,20,31,60,61]). Lahr and Kooistra [28,29] recently categorized the different types of risk maps that exist and reviewed the methods to make them. They distinguish, among others, between maps of contamination, (potential) exposure, vulnerability, and "trae risk" for single or múltiple stressors.…”

Section: Introductionmentioning

confidence: 99%

“…Lahr and Kooistra [28,29] discuss the most important issues in risk mapping and provide some general rales of thumb for making environmental risk maps for communication purposes. One of the limitations they identify is that only one or very few parameters can be represented on a single map.…”

Section: Introductionmentioning

confidence: 99%

“…This particularly poses problems for cumulative risk maps which by definition have to deal with múltiple parameters, and are increasingly a subject of interest in chemical pollution management (e.g., [22,54]). The most applied solution to this problem is to express the overall risk in terms of a single indicator and to map the outcome, although examples exist of maps that visualize múltiple parameters simultaneously [28,29]. Despite the interest in cumulative risk mapping, little guidance exists about which methods to adopt in different circumstances.…”

Section: Introductionmentioning

confidence: 99%

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Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Pistocchi

Groenwold

Lahr

et al. 2010

Environ Model Assess

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We present examples of cumulative chemical risk mapping methods developed within the NoMiracle project. The different examples illustrate the application of the concentration addition (CA) approach to pesticides at different scale, the integration in space of cumulative risks to individual organisms under the CA assumption, and two techniques to (1) intégrate risks using data-driven, parametric statistical methods, and (2) cluster together áreas with similar occurrence of different risk factors, respectively The examples are used to discuss some general issues, particularly on the conventional nature of cumulative risk maps, and may provide some suggestions for the praetiee of cumulative risk mapping.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Pistocchi

Groenwold

Lahr

et al. 2010

Environ Model Assess

Self Cite

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“…It built on methods and remote sensing products developed for routine monitoring and reporting (Table 1), as well as recent case studies undertaken in the GBR [16,19], but focused on broader spatial and temporal scales (GBR-wide and decadal). In order to produce ecologically-significant risk maps, contaminant concentrations in river plumes must be compared to published ecological threshold values for consequences and effects [38], i.e., for "adverse ecosystem responses". Furthermore, bio-indicators for regional risk assessments must be related to the long-term survival of ecosystems, i.e., for example, to the death, immobilisation, growth, abundance and reproductive impairment of the local ecosystems [39].…”

Section: Introductionmentioning

confidence: 99%

Estimating the Exposure of Coral Reefs and Seagrass Meadows to Land-Sourced Contaminants in River Flood Plumes of the Great Barrier Reef: Validating a Simple Satellite Risk Framework with Environmental Data

et al. 2016

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River runoff and associated flood plumes (hereafter river plumes) are a major source of land-sourced contaminants to the marine environment, and are a significant threat to coastal and marine ecosystems worldwide. Remote sensing monitoring products have been developed to map the spatial extent, composition and frequency of occurrence of river plumes in the Great Barrier Reef (GBR), Australia. There is, however, a need to incorporate these monitoring products into Risk Assessment Frameworks as management decision tools. A simple Satellite Risk Framework has been recently proposed to generate maps of potential risk to seagrass and coral reef ecosystems in the GBR focusing on the Austral tropical wet season. This framework was based on a "magnitudeˆlikelihood" risk management approach and GBR plume water types mapped from satellite imagery. The GBR plume water types (so called "Primary" for the inshore plume waters, "Secondary" for the midshelf-plume waters and "Tertiary" for the offshore plume waters) represent distinct concentrations and combinations of land-sourced and marine contaminants. The current study aimed to test and refine the methods of the Satellite Risk Framework. It compared predicted pollutant concentrations in plume water types (multi-annual average from 2005-2014) to published ecological thresholds, and combined this information with similarly long-term measures of seagrass and coral ecosystem health. The Satellite Risk Framework and newly-introduced multi-annual risk scores were successful in demonstrating where water conditions were, on average, correlated to adverse biological responses. Seagrass meadow abundance (multi-annual change in % cover) was negatively correlated to the multi-annual risk score at the site level (R 2 = 0.47, p < 0.05). Relationships between multi-annual risk scores and multi-annual changes in proportional macroalgae cover (as an index for coral reef health) were more complex (R 2 = 0.04, p > 0.05), though reefs incurring higher risk scores showed relatively higher proportional macroalgae cover. Multi-annual risk score thresholds associated with loss of seagrass cover were defined, with lower risk scores (ď0.2) associated with a gain or little loss in seagrass cover (gain/´12%), medium risk scores (0.2-0.4) associated with moderate loss (´12/´30%) and higher risk scores (>0.4) with the greatest loss in cover (>´30%). These thresholds were used to generate an intermediate river plume risk map specifically for seagrass meadows of the GBR. An intermediate river plume risk map for coral reefs was also developed by considering a multi-annual risk score threshold of 0.2-above which a higher proportion of macroalgae within the algal communities can be expected. These findings contribute to a long-term and adaptive approach to set relevant risk framework and thresholds for adverse biological responses in the GBR. The ecological thresholds and risk scores used in this study will be refined and validated through ongoing monitoring and assessment. As uncertainties are red...

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Mapping the Environmental Risk of Antibiotic Contamination by Using Multi‐Criteria Decision Analysis

Küçükdoğan

Güven

Balcıoğlu

2015

CLEAN Soil Air Water

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Veterinary antibiotics have widely been used for promoting animal health, especially in the last few decades. As a result of application of manure on agricultural lands, leaching of antibiotics from manure to soil and antibiotic transport via runoff may cause both soil and water quality degradation. Moreover, an increased antibiotic concentration in soil stimulates the development of antibiotic resistant bacteria in the environment. The aim of this study was to develop environmental risk maps for the Marmara Region by taking into account the antibiotic transport from the pasture lands. By using geographical information systems, the region was divided into manageable modelling units according to different topographical and hydrodynamic characteristics. A storm water management model was applied for runoff prediction. The transport of previously analyzed antibiotics in the region was determined by using an exposure model developed by the National Institute of Public Health and the Environment, the Netherlands. The environmental risk of antibiotics was mapped by undertaking a multi‐criteria decision analysis approach for all pasture lands. The risk maps showed that the potential risk of antibiotic transport from pasture lands is moderate across the Marmara Region, however, a high level of risk prevailed in some areas, particularly in Balıkesir.

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Environmental risk mapping of pollutants: State of the art and communication aspects

Cited by 114 publications

References 62 publications

Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Mapping Cumulative Environmental Risks: Examples from the EU NoMiracle Project

Estimating the Exposure of Coral Reefs and Seagrass Meadows to Land-Sourced Contaminants in River Flood Plumes of the Great Barrier Reef: Validating a Simple Satellite Risk Framework with Environmental Data

Mapping the Environmental Risk of Antibiotic Contamination by Using Multi‐Criteria Decision Analysis

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