actual status of gulf of riga · western coast of the gor 112 11.26 9.013 ↘ low central part of...
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Solveiga KadiķeLatvian Institute of Aquatic Ecology
Actual status of Gulf of Rigaand its catchment area in Estonia and Latvia
Network of monitoring sites in Baltic Sea incl. Gulf of Riga:
starting from ca. 1956,
current network:from 1970-ies
State marine monitoring programmes
Marine Strategy Framework Directive (MSFD)2008/56/EC
Legislative framework for assessment
Source:http://www.dcsmm-d4.fr/la-directive-cadre-strategie-pour-le-milieu-marin-dcsmm?lang=en
11 descriptors of GES (good environmental status)Descriptor 5 – eutrophication
Human-induced eutrophication is minimised, especially adverse effects thereof, such as losses in biodiversity, ecosystem degradation, harmful algae
blooms and oxygen deficiency in bottom waters…
Two indicators of GES for N:- dissolved inorganic nitrogen (DIN)(winter concentrations (January-March))
……
- total nitrogen (Ntot – inorganic + organic)(annual average concentrations)
Legislative framework for assessment
Long-term average winter concentrations of
dissolved inorganic nitrogen (DIN)(based on SMHI and KESE, 2019 data)
Indicators of GES for N – trends
Average winter concentrations of DIN, μmol·L-1, Latvia
Indicators of GES for N – trends
Water object Limit valuePeriod
TrendConfidence level of
trend assessment2007-2011 2012-2016
Western coast of the GoR 112 11.26 9.013 ↘ Low
Central part of the GoR 5.21 13.82 12.25 ↘ Low
Eastern coast of the GoR 112 26.43 - - Low
Transitional waters4 142 32.30 17.20 ↘ Low
Open part of the Baltic Sea 2.51 3.32 3.34 ←→ Low
Coastal part of the Baltic Sea 82 19.08 12.083 ↘ Low
1 HOD 39-20122 Directive 2000/60/EC3 Based on one-year data4 Influenced by rivers Lielupe, Daugava and Gauja
Average winter concentrations of DIN, μmol·L-1, Estonia
Indicators of GES for N – trends
1 Stoicescu , Lips, Lips, 20172 HELCOM (HOD 39-2012)3 based on 2007 data4 based on 2012 data
Water objectTarget
value
period
2007-2011
period
2012-2016Trend
2017 and
2018
Gulf of Riga, coastal water body 7.41 5.05 12.01 ↗ 18.40
Pärnu Bay, coastal water body 15.51 20.943 37.864 ↗ -
Gulf of Riga, open part 5.22 6.61 9.80 ↗ 12.33
Long-term average annual concentrations of
total nitrogen (Ntot)(based on SMHI and KESE, 2019 data)
Indicators of GES for N – trends
Average annual concentrations of Ntot , μmol·L-1, Latvia
Indicators of GES for N – trends
1 HOD 39-20122 Directive 2000/60/EC3 Based on one-year data4 Influenced by rivers Lielupe, Daugava and Gauja
Water objectLimit
value
Long term data (SMHI)
Trend
Conf.
level
of ass.
Monitoring data, 2018 (LIAE)
Season
Periodspring summer autumn
2007-2011 2012-2016
Western coast of GoR 35.62 33.2 31.73 ←→ Low 33.0–45.532.9–44.634.1–36.6
Eastern coast of GoR 35.62 43.3 - - -
Central part of GoR 281 32.4 31.8 ←→ Low 24.7–41.328.4–39.932.9–35.1
Transitional waters 4 44.12 47.2 45.9 ←→ Low 37.4–49.132.6–41.0 -
Coast of Baltic Sea 27.52 30.2 - - - 19.7–24.1 24,2–37.3 26.8–40.8
Average annual concentrations of Ntot , μmol·L-1, Estonia
Indicators of GES for N – trends
1 Minister of the Environment Regulation No. 44 “Procedure for formation of bodies of groundwater and list of bodies of groundwater whose status category must be determined, status categories for bodies of groundwater, values of quality indicators corresponding to status categories and procedure for determining status categories” (28.07.2009)
2 HELCOM 38-2017
Water object Limit value 2007-2011 2012-2016 trend2017 and
2018
Gulf of Riga, coastal water body≤ 19.21
for good class28.26 23.53 ↔ 29.39
Gulf of Pärnu, coastal water body≤ 23.61
for good class34.52 29.61 ↘ 27.05
Gulf of Riga, open part of see 282 27.75 24.58 ↘ 26.88
Largest rivers:Daugava
(60% total riverine load of nutrients)
Lielupe,Gauja,Pärnu, Salaca
M. Laznik et.al, Journal of Marine Systems 23 1999
Riverine loads from the catchment area
Gulf of Riga catchment area
Riverine loads from the catchment area
Influence of largest rivers Daugava, Lielupe and
Gauja
in transition zone of GoR,
LIAE monitoring data, Ntot, summer 2018
Values agreed in 2013(HELCOM, 2013; Svendsen et al., 2018)
HELCOM requirements for loads:
Riverine loads from the catchment area
Baltic Sea Sub-basinMaximum Allowable
Inputs, Ntot, tonnes
Reference inputs
1997-2003, Ntot,
tonnes
Needed reductions,
Ntot, tonnes
Gulf of Riga 88 417 from which
88 417 0EST: LV:
ca. 13 000 ca. 54 000
Baltic Proper 325 000 423 921 98 921
Load from Latvia (Daugava, Lielupe, Gauja, Salaca and Irbe), range 36–88 kT/yrRed line – – – – – MAI
(LEGMC data)
Riverine loads from the catchment area
Load from Estonia (Pärnu river) (Estonian Environment Agency, 2018))
MAI for Estonia: 13 kT/yr
Riverine loads from the catchment area
Algae (phytoplankton) are primary consumers of nutrients:concentrations of chlorophyll (left) a and biomass of phytoplankton (right):
assessment: form very bad to moderateSource: EL merestrateegia raamdirektiivi (2008/56/EÜ) kohane merekeskkonna seisundihinnang teemadel eutrofeerumine ja hüdrograafilisedmuutused (D5 ja D7), Stoicescu , Lips, Lips, 2017
MSFD – other indicators of GES
Possible changesImplementation of baseline scenario for
achievement of GES
Baseline scenario for eutrophication –measures set in River Basin Management Plans:
Directive 2010/75/EU – for industrial emissions (incineration of waste)
Directive 91/676/EEC – for nitrates of agricultural origin Directive 91/271/EEC – for treatment of waste water
HELCOM Baltic Sea Action Plan – load reduction targets, recommendations, etc.
Modelled changes in winter DIN and DIP concentrations, surface water layer of the central part of Baltic Sea
grey lines – loads are maintained at the level of 1997–2003
red – required reduction of loads is carried out
dashed line - - - - - – target concentration
Possible changesImplementation of baseline scenario
Source: Eutrophication status of the Baltic Sea 2007-2011, HELCOM, 2014
Effect of climate changes on Baltic Sea
Large global warming potential of nitrogen compounds contribute to global warming and climatechange (GWP for N2O 265 x > CO2, for NOx (have indirect impact) GWP is not clear yet)
Negative effects:
climate becoming warmer – number of storms affecting the coastline of Gulf of Riga will go up –
more frequent and intense storms with increased wind speeds, increasing the risk of sea surge and coastal erosion;
increasing the average sea level, which in turn increases the risk of floods;
warmer and shorter winter – the ice-floor period will be significantly reduced – impact ofstorms, impact on ecosystems (birds, predators etc.)
Positive effects:
effects on agricultural production are expected to be positive for crop yield, especially to wintercrops. Positive effects are also expected for forest management and biodiversity due to longergrowing seasons and shorter winters with fewer days of snow on the ground. (BACC II)
Source: Jūras krasti Latvijā, http://baltijaskrasti.lv/wp-content/uploads/2016/02/Janis-Lapinskis-_Juras-krasti.pdf
Climate changesEffect of major storms
Coastal erosion and accumulation zones
(1992-2011)
red to brown zones = erosion
green = accumulation
Photo: E.Kadiķis
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