q1 research update
DESCRIPTION
Q1 Research Update. Tanvir Khan E nvironmental E ngineering D octoral P rogram D epartment of C ivil & E nvironmental E ngineering M ichigan T echnological U niversity. 11/14/2013. Presentation Outline. Atmospheric-surface exchangeable pollutants (ASEPs ) - PowerPoint PPT PresentationTRANSCRIPT
Tanvir KhanEnvironmental Engineering Doctoral Program
Department of Civil & Environmental EngineeringMichigan Technological University
Q1 RESEARCH UPDATE
11/14/2013
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• Atmospheric-surface exchangeable pollutants (ASEPs)• Terrestrial-atmosphere exchange processes of ASEPs• Air-water• Air/soil-plant
• Research questions (Q1 – Q3)• Components of Q1 Tasks
• Environmental compartments of ASEPs• Parameters for database development for PAHs and PCBs• Parameterization for various environmental compartments • Air-surface exchange parameterization
• Comparison of global models of terrestrial net primary productivity
Presentation Outline
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Atmosphere-Surface Exchangeable Pollutants (ASEPs)
Atmosphere
Surface
ASEP characteristics
Resist rapid degradation
Accumulate in organic rich
media
Semivolatile
Proposed compounds to study:(1)Mercury (Hg) (2)Polycyclic aromatic hydrocarbons (PAHs)(3)Polychlorinated biphenyls (PCBs)
Sequestration
Atmospheric transport
Deposition
Natural &secondaryemission Ecosystem impact,
process change
Well-being
StressorsPopulation
growth Land use/cov
erEnergy
sourcesAnthropogenic
emissionClimat
echange
Perceptions,beliefs, goals
Governance,adaptation
Socioeconomicactivity
Human ASEP System
Safe waterSafe
air
Safe food
Ecosystem Services
Biogeochemical Cycle of ASEPs in Nature
Dynamically Coupled Human-Natural ASEP System
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Air-Water Exchange Process of ASEPs
Gas/particle partitioning
Wet deposition(particle + gas)
Dry depositio
n(particle)
Air-water exchange
Dissolved-phase Hg(0) DOM-
bound POPs
Sediment-bound POPs and Hg (II)
Dissolved-phase POPs,
Hg (II)
Dissolved-phase
POPs, Hg (II)Particle-
bound Hg (II), POPs
Particle-bound
POPs, Hg (II)
Gas-phase Hg (0)
Atmosphere
Gas-phase POPs, Hg
(II)
Resuspension
Settling Diffusive exchange
Water column
Inputs Loss through outlet
Burial into deep sediment
Surface layerSediment
Degradation
Rowe et al. (2008)
POPs=Persistent Organic Pollutants
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Air-Soil/Plant Exchange Process of ASEPsAtmosphe
reWet deposition(particle +
gas)
Particle dry
deposition
Top soilDiffusion
Reemission/Volatilization from soil
Intermediate soil
Reservoir Layer
Leaching
Burial
Uptake by plant
coverReemission/
Volatilization from plant cover
Uptake by plant root
Degradation
Gaseous dry
deposition
Palm et al. (2004)
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Low latitudes
(Re-emission > deposition)
Long-range atmospheric transport
Mid-latitudes(Re-emission and
depositiondominated by seasonal
cycles)
High latitudes(Deposition > Re-
emission)
Global Distillation
‘Grasshopping’ effect
Global ASEP Cycling
Vallack et al. (1998)
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Research Questions “What features of secondary emissions lead to added impact, in terms of elevated deposition, to ecosystems, now and in future, and in what environments does ASEP sequestration mitigate ecosystem service losses?”
Q1
“How will alteration in global secondary emissions of Hg due to global change alter U.S. regional household income due to health effects caused by fish consumption, and what assumptions are needed to extend this work to other ASEPs?”
Q2
“How can governance be improved to reduce the negative impacts of ASEPs and enhance adaptive management across multiple jurisdictional scales?”
Q3
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Tasks Involved in Answering Q1Model
Development
A) Development of PCB and PAH GEOS-Chem models (Selin Group)[Sensitivity analysis]
B) Improved method to incorporate land use/cover effects on ASEP cyclingC) Incorporate new ASEP air-surface exchange parameterizationsD) Improvement in NPP-ASEP coupling [Sensitivity analysis]
E) Scenario developmentF) Historical and current simulationsG) Future simulationH) Atmospheric deposition to fish[Sensitivity analysis]
Model Improvement
Model Applications
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Model ASEP Environmental Compartments
Lakes, rivers
Soils
Ocean
Lake, river, and ocean sediments
Leaves and grass
Snow/ice
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Parameters Needed to Describe PAH and PCB Measurements in soils
Sampling location details: Latitude, longitude, altitude, land utilization type, population in the sampling area, distance from major road networks, etc.
Types of soil: Natural, forest soil, urban, rural, upland soil, industrial soil, grassland, waste water irrigated soil, arable/paddy soil, etc.
Types of contamination:Non-contaminatedweakly/heavily contaminated
Depth of sediment core sampled: Minimum/Maximum/average depth
Sampling/identification technique
Other soil parameters: Black carbon content Organic matter content Organic carbon content Sediment grain size distribution Soil pH
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Surface microlayer measurement:Temperature Relative humidity Atmospheric pressure Wind direction/speed Sun irradiation
Concentrations of PCBs/PAHs:Dissolved, particulateconcentration in air concentration in water
Other parameters:Henry’s law constant Fugacities
Deep-ocean measurement:Sampling location, date (time period) meteorological parameters
Water quality parameters:oxygen contentSalinitytemperature
Parameters Needed to Describe PAH and PCB Measurements in Oceans, Rivers, and Lakes
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Parameters needed for snow/iceSampling location details:
Sampling period, geographic location (latitude, longitude, altitude)
Meteorological parameters: Annual precipitation, Snow precipitation, temperature, etc.
Snow sample characteristics: Sample types: (core or layer?)Snow depth Snow density Water equivalents Suspended particulate matter concentration in snow
PAH/PCB fluxes in snowPAH/PCB concentration:
Total PAH/PCB concentrationIndividual PAH/PCB concentration
Sampling location details: Types of forest (examples: deciduous, boreal coniferous forest, etc.)
Leaf characteristics: Leaf areaLipid contentExposure time
Sampling/identification techniques:Sampling tools Storage devicesExtraction methods
Parameters needed for leaves/grass
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Air-surface Exchange Parameterization
Mass concentration based model: Dissolved concentration (Cw)Gas-phase concentration (Ca)Mass-transfer coefficient (ka/w)Flux (F)
Fugacity based model:Dissolved concentration expressed in fugacity (fw)Gas-phase concentration expressed as fugacity (fa)Mass transfer coefficient (Daw) Flux (F)
Additional parameters:Molecular weight Henry's law constant Temperature Octanol-air partition coefficient (Koa)……more….
Concentrations of ASEPs:in soil (Cs) in air (Ca)
Fugacities of: in soil (fs)in air (fa)
Other soil parameters: Fraction of organic matter (fom) Octanol-air partition coefficient (Koa) Soil water partition coefficient (Kd) Soil air partition coefficient (Ksa) Henry's law constant Soil bulk density Aqueous solubility…..more…
Air-water exchange parameters
Air-soil exchange parameters
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Comparing Global Models of Terrestrial Net Primary Productivity
Terrestrial models of
biogeochemistry
Satellite-based models
Models for seasonal fluxes and vegetation
structure
Models for seasonal fluxes
CASA, GLO-PEM, SDBM, SIB2, and TURC #5BIOME-BGC, CARAIB 2.1, CENTURY 4.0, FBM 2.2, HRBM 3.0, KGBM, PLAI 0.2, SILVAN 2.2, and TEM 4 #9
BIOME3, DOLY and HYBRID 3.0 #3 Major processes are:
(a) Photosynthesis(b) Growth and maintenance
respiration(c) Evapotranspiration
(d) Uptake and release of N(e) Allocation of photosynthate to
various parts of plant
(f) Litter production and decomposition Cramer et al.
(1999)
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Comparison of Three Model Types
Satellite based models
Models for seasonal fluxes
Models for seasonal fluxes and vegetation
structure
1. Use satellite data2. Determine temporal behavior of
photosynthetically active tissue3. Asses climate variability of NPP
1. Use soil and climate characteristics to simulate fluxes
2. Describe functional changes within particular vegetation type
3. Possible re-distribution of vegetation is ignored
1. Equilibrium between climate and vegetation is assumed
2. Simulate changes in both ecosystem structure (vegetation distribution) and function (biogeochemistry)
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THANK YOU.
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ReferencesCramer et al. (1999) Comparing global models of terrestrial net primary productivity (NPP): overview and key results, Global Change Biology (5), 1-15Palm et al. (2004),Evaluation of sequentially-coupled pop fluxes estimated from simultaneous measurements in multiple compartments of an air–water–sediment system, Environmental Pollution (128) 85–97.Rowe, M.D. (2008), State Of Lake Superior, Ecovision World Monograph Series, Burlington, Canada.Vallack et al. (1998), Controlling persistent organic pollutants–what next?, Environmental Toxicology And Pharmacology (6) 143–175.