tutorials 1,2,3,4 Flashcards

1
Q

list some typical water quality issues

A
  • pathogen pollution
  • pharmaceuticals and EDCs
  • excess nutrients and eutrophication
  • organic pollution and low DO
  • salinity pollution
  • chemical pollution
  • microbial pollution
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2
Q

affected parties of water quality issues

A
  • agriculture
  • aquatic life/animals
  • infrastructure (dams)
  • people
  • nature!
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3
Q

the main contributors of water quality issues

A
  • industry
  • agriculture
  • domestic users
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4
Q

sources of pollution

A
  • untreated sewage
  • domestic waste inputs (are growing)
  • open decification
  • salt intrusion
  • agriculture
  • industry
  • insecticides
  • food industry
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5
Q

what are the water challenges of this century

A
  • increase in water use
  • changes in water availability and water quality

both of these result in an increase of water stress

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6
Q

falkenmark indicator

A

calculates the volume of water available per person
waterstress = water availability/population

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7
Q

water use to availability ratio

A

focuses on the amount of water that is used to available water resources. can also be used to calculate sector-specific water stress or total water stress. water use/water availability

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8
Q

waterfootprint to availability ratio

A

waterfootprint/water availability

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9
Q

water scarcity including water quality indicator

A

calculates the ratio of sectoral water withdrawal of acceptable water quality to the overall water availability

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10
Q

why does water quality matter for water scarcity?

A

the usability of water depends on sufficient water quantity and quality

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11
Q

water pollutants

A
  • nutrients
  • water temperature
  • salinity
  • pathogens
  • chemicals
  • EDCs
  • heavy metals
  • BOD
  • emerging pollutants like medicines
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12
Q

why is there a need for a multi pollutant approach

A
  • multiple pollutants may have an impact of multiple sectors
  • pollutants can interact (chemically, biologically, physically)
  • pollutants can have common sources
  • policies for one pollutant may affect other pollutants
  • pollutants have multiple impacts on nature and society
  • sensitivity to pollution may increase if more pollutants are around
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13
Q

ecosystem services and ecosystem services lakes give to us

A

ecosystem services are benefits to humans gifted by the environment. the ecosystems we ‘get’ are dependent on the state of the lake. this depends again on the nutrient load, and can either be healthy or unhealthy. examples of ecosystem services are: drinking water, water buffering, flood regulation, filtration, recreation, food, biodiversity, carbon storage, hydropower, education

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14
Q

stressors for lakes

A

nitrogen, phosphorus, agriculture, sewage systems, fertilizers, insecticides, domestic waste, invasive species

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15
Q

sources of nutrients in lakes

A
  • natural runoff
  • agriculture
  • urban areas
  • industry
  • aquaculture
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16
Q

nutrient load

A

nutrient loss from different sources that ends up into the lakes

17
Q

PC lake(+)

A

models the amount of nutrients (N,P,Si) in different compartments of the model. the model includes 3 compartments: air, water and sediment. also includes different water layers, so also stratification

18
Q

PC lake model inputs

A

nutrient pollution and temperature. this is measured or other model input

19
Q

why do we use models

A
  • to formulate hypotheses
  • to better understand stressors on ecosystems
  • to qualify indicators
  • to qualify the impact of these stressors
20
Q

critical nutrient load and the relationship with temperature

A

critical nutrient load is the nutrient treshold to keep the lake in a healthy state. this can be used as an indicator for lake water quality. the critical nutrient load is affected by temperature. bc algae do better in warm conditions. higher water temp, bigger change in algae blooms. also stratification when theres a large difference in Temp. disturbs the ecosystem and increases the risk for o2 depletion and P release from the sediment (dead zooplankton sinks)

21
Q

how can we build trust in models?

A
  1. compare model results with observations (validation)
  2. compare modelled trends over time with observations
  3. sensitivity analysis: test how sensitive the model outputs are to changes in model parameters
  4. comparing model inputs with independent datasets
  5. expert knowledge or local knowledge
  6. compare model results with the results of similar models
22
Q

strenghts and weaknesses of model validation

A

+ easy to understand
+ easy to calculate
+ gives an indicator of how well our models represent reality
+ builds trust

  • extreme values can have a large impact
  • data are uncertain
  • date does not always fit (e.g. global model with no observational data for a continent)
  • data is not always comparable
23
Q

cycle of building trust

A

compare modelled nutrient fluxes with empirical studies –> compare modelled nutrient trends with empirical studies –> sensitivity analysis –> compare model inputs with other independent datasets –> expert knowledge –> compare model results with other modelling studies

24
Q
A