logo LC-impact
a spatially differentiated life cycle impact assessment method

Project outcomes

List of final deliverables resulting from the LC-IMPACT project

List of final deliverables resulting from the LC-IMPACT project
  1. WP1 - Resource use impacts
  2. WP2 - Ecotoxicity and human toxicity
  3. WP3 - Non toxic pollutant impacts
    • D3.7 Aquatic eutrophication
    • Course: Aquatic Eutrophication

      The Technical University of Denmark has develop a Short course on LC-impact modeling for aquatic Eutrophication in LCIA.

      A participant who follows this course will be able to:

      • Understand the new methods developed in LC-IMPACT for freshwater and marine eutrophication
      • Understand the indicators development and apply the methodology

      This course is developed or Students (BSc, MSc, PhD) and professionals, either method developers or practitioners and interested in characterization and impact assessment (LCIA).

      Course outline

      The course is designed in 3 blocks of 45 minutes

      1. Module 1: Introduction (45 min)
      2. Module 2 : Spatially-explicit Characterization factors for freshwater eutrophication on a global scale (45 min)
        • Introduction to freshwater eutrophication modelling
        • Currently recommended method
        • Proposed method by LC-IMPACT
        • Main differences between currently and proposed method
        • Download module (pdf)
      3. Endpoint modeling of Marine Eutrophication (45 min)
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    • D3.8 Terrestrial acidification
    • D3.9 Particulate matter formation impacts (available soon; contact: Rosalie van Zelm, r.vanzelm@science.ru.nl)
    • D4.10 Photochemical ozone formation impacts (available soon; contact: Rosalie van Zelm, r.vanzelm@science.ru.nl
    • D3.11 Noise impacts
  4. WP4 - Case studies
  5. WP5 - Dissemination
  6. Course Materials
  7. The developed course materials can be used in training and communication. All courses will give a detailed description of the developed methodology, provide insight in bringing the methodology in to practice and indicate where possibilities for further research lie.

    Methodology

    These courses are especially developed for researchers that want to gain more insight in the developed methodologies. That way, researchers can learn more about the developed methodology for:

    • Resource use impacts
    • Non-toxic pollutant impacts
      • European characterization factors for damage to natural vegetation by ozone
      • Freshwater eutrophication
      • Terrestrial acidification
      • Aquatic eutrophication
      • Course: Aquatic Eutrophication

        The Technical University of Denmark has develop a Short course on LC-impact modeling for aquatic Eutrophication in LCIA.

        A participant who follows this course will be able to:

        • Understand the new methods developed in LC-IMPACT for freshwater and marine eutrophication
        • Understand the indicators development and apply the methodology

        This course is developed or Students (BSc, MSc, PhD) and professionals, either method developers or practitioners and interested in characterization and impact assessment (LCIA).

        Course outline

        The course is designed in 3 blocks of 45 minutes

        1. Module 1: Introduction (45 min)
        2. Module 2 : Spatially-explicit Characterization factors for freshwater eutrophication on a global scale (45 min)
          • Introduction to freshwater eutrophication modelling
          • Currently recommended method
          • Proposed method by LC-IMPACT
          • Main differences between currently and proposed method
          • Download module (pdf)
        3. Endpoint modeling of Marine Eutrophication (45 min)
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      • Fine particulate matter
    • Exotoxicity and human toxicity
      • Ecotoxic Effects on warm blooded Predators
      • Terrestrial ecotoxicity assessment of metals
      • Course: Terrestrial ecotoxicity assessment of metals

        The Technical University of Denmark has develop a complete course on terrestrial ecotoxicity of metals.

        A participant who follows this course will be able to:

        • Identify processes governing metal fate, accessibility, bioavailability and toxicity in soils
        • Calculate comparative toxicity potentials of a metal in soil
        • Utilize this knowledge in regionalized impact assessment

        A basic knowledge of environmental processes is required. A participant should be comfortable with employing mathematical models and should be comfortable working with computers.

        Course outline

        The course is designed in 2 blocks of 45 minutes

        1. Block 1 (45 min)
          1. Characterization models and modeling metal fate (20 min)
            • Major fate mechanisms for metals in soil (10 min)
            • Exercise A: calculate fate factor of Cu in 5 soils using USEtox (10 min)
            • Software requirements: Microsoft Excel and the USEtox model
            • Reading: (1)
          2. Speciation models and modeling metal exposure (20 min)
            • Structure of speciation models (10 min)
            • Exercise B: calculate accessibility and bioavailability factors of Cu in 5 soils using empirical regression models (10 min)
            • Software requirements: Microsoft Excel
            • Readings: (2) and (3)
        2. Block 2 (45 min)
          1. Terrestrial ecotoxicity modeling (20 min)
            • Structure of terrestrial ecotoxicity models (10 min)
            • Exercise C: calculate effect factor of Cu in 5 soils using terrestrial biotic ligand models (10 min)
            • Software requirements: Microsoft Excel
            • Readings: (4) and (5)
          2. Calculation of comparative toxicity potentials (20 min)
            • Introduction to case study (5 min)
            • Case study: calculate weighted CTP for Cu emitted from a power plant (15 min)
            • Software requirements: Microsoft Exce
            • Reading: (6, 7)

          Download the course here

        Background Readings

        (1)Rosenbaum, R. K., T. M. Bachmann, et al. (2008). "USEtox-the UNEP-SETAC toxicity model: recommended characterisation factors for human toxicity and freshwater ecotoxicity in life cycle impact assessment." International Journal of Life Cycle Assessment 13(7): 532-546.

        (2) Groenenberg, J. E., P. F. A. M. Römkens, et al. (2010). "Transfer functions for solid-solution partitioning of cadmium, copper, nickel, lead and zinc in soils: derivation of relationships for free metal ion activities and validation with independent data." European Journal of Soil Science 61(1): 58-73.

        (3) Rodrigues, S. M., B. Henriques, et al. (2010). "Evaluation of an approach for the characterization of reactive and available pools of twenty potentially toxic elements in soils: Part I - The role of key soil properties in the variation of contaminants' reactivity." Chemosphere 81(11): 1549-1559.

        (4) Thakali, S., H. E. Allen, et al. (2006). "A terrestrial biotic ligand model. 1. Development and application to Cu and Ni toxicities to barley root elongation in soils." Environmental Science & Technology 40(22): 7085-7093.

        (5) Thakali, S., H. E. Allen, et al. (2006). "Terrestrial biotic ligand model. 2. Application to Ni and Cu toxicities to plants, invertebrates, and microbes in soil." Environmental Science & Technology 40(22): 7094-7100.

        (6) Owsianiak M, Rosenbaum RK, Huijbregts MAJ, Hauschild MZ. 2013. "Addressing geographic variability in the comparative toxicity potential of copper and nickel in soils". Environmental Science and Technology 47(7):3241-3250.

        (7) de Caritat, P., C. Reimann, et al. (1997). "Mass Balance between Emission and Deposition of Airborne Contaminants." Environmental Science & Technology 31(10): 2966-2972.

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      • Dynamic multi-crop model to characterize impacts of pesticides in food
      • Course: Dynamic multi-crop model to characterize impacts of pesticides in food

        Health impacts from pesticide use are of continuous concern. Hence, health impacts need to be characterized accounting for specific crops contributing differently to overall human exposure as well as accounting for individual substances showing distinct environmental behaviour and toxicity. We will work with a dynamic plant uptake model (dynamiCROP) to characterize potential health impacts of pesticides applied to six different food crops, based on a flexible set of interconnected compartments. In an exercise, we will demonstrate how to analyse the dynamics of residues by applying mathematical decomposition techniques. Finally, we investigate how toxicity potentials can be reduced by defining adequate pesticide substitution scenarios.

        A participant who follows this course will be able to:

        • explain the principles and processes involved in the distribution of pesticides applied to different food crops
        • quantify potential health impacts from pesticide intake via food crop consumption
        • discuss different potentials for pesticide substitution

        This course is designed for:

        • Ph.D. students
        • new and experienced researchers in the field of environmental chemistry and engineering
        • practitioners in life cycle impact assessment and risk assessment

        For this course a basic knowledge in environmental chemistry is required as well as reading the background materials. Insight into multimedia modeling, matrix algebra, life cycle impact assessment (and/or risk assessment) is useful.

        The course

        Course duration: 120 min (presentations and exercises)

        1. Introduction into pesticide residues in food crops and assessment model design
        2. Characterizing pesticides impacts and comparison across pesticides and food crops (30 min)
        3. Insight into potentials for pesticide substitution (30 min)
        4. Quantification and analysis of residues, health impacts and substitution potentials (15 min)
        5. Exercises – (45 min)

        Course presentation: Course Human Toxicity Pesticides - Presentation.pdf


        Follow the course now via YouTube - Course: Dynamic multi-crop model
        Background reading material:

        All material will be made freely accessible to all course participants.

        (1) Fantke et al., 2011: Environ Sci Technol 45, 8842-8849.

        (2) Fantke et al., 2011: Chemosphere 85, 1639-1647.

        (3) Juraske et al., 2012: Chemosphere 89, 850-855.

        (4) Fantke et al., 2013: Environ Modell Softw 40, 316-324.

        (5) Fantke et al., 2012: Environ Int 49, 9-17.

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    • General guidance Impact assessment
    • Also, three of the course materials are developed on the principles of impact assessment. These course materials intend to outline the field impact assessment.
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