MONITORING OF DAUGAVA RIVER – EXPERIENCES OF LATVIAN CASE STUDY

Rezekne Higher Education Institution, Latvia

1

Part-financed by the EuropeanUnion (European RegionalDevelopment Fund and EuropeanNeighbourhood and PartnershipInstrument)

OVERVIEWOVERVIEW

1. WATER RESOURCES IN LATVIA2. DAUGAVAS RIVER BASIN (PROBLEMS

AND SOLUTIONS)3. INVESTIGATION OF WATER QUALITY IN

LAKES AND RIVERS OF DAUGAVA RIVER BASIN

4. MONITORING OF DAUGAVA RIVER

2

WATER RESOURCES IN LATVIAWATER RESOURCES IN LATVIA

EUROSTAT DATE:

3

COUNTRY FRESH WATER RESOURCES PER 1

PERSON, m3

FINLAND 20 700SWEEDEN 19 800SLOVENIA 15 800LATVIA 14 900

ESTONIA – 9 200, LITHUANIA – 7 300 MALTA – 100 m3

WATER EXPLOITATION INDEXWATER EXPLOITATION INDEXCOUNTRY WATER EXPLOITATION

INDEX, %CYPRUS 64BELGIUM 32SPAIN 30MALTA 21ESTONIA 15LITHUANIA 9LATVIA 1

4

The water exploitation index represents the total volume of water abstracted in a given year as a share of total freshwater resources.

RIVER BASINS IN LATVIARIVER BASINS IN LATVIA

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WATER BODIES IN LATVIAWATER BODIES IN LATVIARivers 12,4 thousandOverall length 38 thousand kmDensity of rivers 600 m/km2

Daugava ( in Latvia 352 km, total 1005 km), Daugavas RB- 24,7 thousand km2.Lakes 3000 Total space 1149 km2 or 1,7% of Latvia

territory. In East Latvia - 40% of all Latvia lakes

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POLLUTERSPOLLUTERSWASTE WATER (from 1998 volume of

polluted waste water decrease about 70%)POLLUTED TERRITORIES (125 places, from

2003 3 territories were rehabilitated)AGRICULTURERUNOFF WOODLAND60% RUNOFF ARE OUTSIDE OF LATVIAHYDROELECTRIC POWER STATIONSEMERGANCE SITUACIONS

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MONITORING PLACESMONITORING PLACES

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MAIN PLANNING DOCUMENTSMAIN PLANNING DOCUMENTSSUSTAINABLE DEVELOPMENT STRATEGY

OF LATVIA UNTIL 2030 (LATVIA2030)ENVIRONMENTAL POLICY 2009-2015ENVIRONMENTAL MONITORING

PROGRAM2009-2012RURAL AREA DEVELOPMENT

PROGRAM2007-2013RIVER BASIN MANAGAMENT PLANS

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USUALLY LAKES ARE USEDUSUALLY LAKES ARE USED

•for fish farming,• tourism,• recreation,•other sectors of the economy development.

OBJECT OF THE RESEARCHOBJECT OF THE RESEARCH

RUSONAS LAKERUSONAS LAKE

GERANIMOVA - ILZAS LAKEGERANIMOVA - ILZAS LAKE

MATERIALS AND METHODSMATERIALS AND METHODS

CHEMICAL PROPERTIES DETERMINED BY SPECTROPHOTOMETRIC METHOD:◦ IRON ION QUANTITY, PHOSPHATE ION QUANTITY,

SULFATE ION QUANTITY, AMMONIUM NITRATE ION QUANTITY

PH LEVEL; CONDUCTIVITY; CHEMICAL TESTS MADE:

◦ TOTAL WATER HARDNESS, NITRITE AND NITRATE, TOTAL AND FREE CHLORINE

SOIL ANALYSIS LICHENOINDICATION OF AIR QUALITY

SAMPLING SITESSAMPLING SITES

10

1

23

4

5

6

7

9

8

1112

SAPROPEL DIUNOKLI LAKESAPROPEL DIUNOKLI LAKE

DAUGAVAS RIVER MONITORINGDAUGAVAS RIVER MONITORING

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MATERIALS AND METHODS

2012.01.12. 19

Hydrolab MS5 Sonde.

MATERIALS AND METHODS

Temperatūra Temperatūra (°C),

Izšķīdušais Izšķīdušais OO22 (%, mg l-1),

Elektrovadītspēja (mS cm-1),

pH,pH,

Duļķainība Duļķainība (NTUs),

Oksidēšanās-reducēšanās potenciāls (mV),

Hlorofils Hlorofils a a (mg l-1)

2012.01.12. 20

Plūsmas injekcijas iekārta FIAlab-2500

Spektrometrs DREL2800Spektrometrs DREL2800

PO4

3-, LVS EN 1189:2000NO3-, LVS ISO 7890-3:2002

ĶSP

Termostat HACH HT 200Termostat HACH HT 200 Spektrometr DREL2800 Spektrometr DREL2800

2012.01.12. 21

ZOOPLANKTON ANALYSIS

2012.01.12. 22

ESF projekts „Atbalsts Daugavpils Universitātes doktora studiju īstenošanai” Vienošanās Nr.2009/0140/1DP/1.1.2.1.2/09/IPIA/VIAA/015

-0.6 0.6

-0.6

0.8

zoopl.ab

ROT. abu

CLA. abu

COP. abu

zoopl.biROT biom

CLA biom

COP. bio

Temp

pH

Cond

DO

DO%

ORP

CHL

TurbSC

Flow rate

PO4

NO3

COD

Lucidity

Vides faktoru ietekme uz zooplanktonu (RDA analīze)

.

Pa

ram

etrs

Daudzums Biomasa

Zo

op

lan

kto

n Ro

tifera

Cla

do

ce

ra

Co

pe

po

da

Zo

op

lan

kto

n Ro

tifera

Cla

do

ce

ra

Co

pe

po

da

Temperatūra 0.19   0.21 0.20        

DO, %     0.12          

ORP               0.35

Hlorofils-a     0.24 0.18 0.34 0.16 0.34 0.55

Duļkainība     -0.10         -0.20

Caurplūdums     -0.21 -0.29   0.41    

PO43- 0.28 0.20 0.24 0.20        

ĶSP   0.28       0.10    

Vides faktoru ietekme uz Daugavas vidusteces posma zooplanktonu (2008. – 2010. gads)

Statistiski nozīmīgi (p>0,05) Pīrsona korelācijas koeficienti (r) starp zooplanktonu un abiotiskajiem faktoriem

2012.01.12. 23

Abundance

10

100

1000

10000

100000

Spr

ing 19

60

Autum

n 19

60

Summ

er 1

961

Spr

ing 19

62

Autum

n 19

62

Summ

er 1

963

Spr

ing 19

64

Spr

ing 19

66

Spr

ing 19

68

Autum

n 19

70

Summ

er 2

008

Spr

ing 2

009

Autum

n 20

09

Summ

er 2

010

Lineārs (Rotifera) Lineārs (Kopā) Lineārs (Cladocera) Lineārs (Copepoda)

Biomass

0,10

1,00

10,00

100,00

1000,00

10000,00

Autum

n 19

60

Summ

er 1

961

Spr

ing 19

62

Autum

n 19

62

Summ

er 1

963

Spr

ing 19

64

Spr

ing 19

66

Spr

ing 19

68

Autum

n 19

70

Summ

er 2

008

Spr

ing 2

009

Autum

n 20

09

Summ

er 2

010

Lineārs (Rotifera) Lineārs (Cladocera) Lineārs (Copepoda) Lineārs (Kopā)

CHANGES OF ZOOPLANKTO NEAR DAUGAVPILS CITY 1960-1970 AND 2008-2010

2012.01.12. 24

AVERIGE AIR TEMPERATURE IN DAUGAVPILS, 1960-2010 (DATA FROM THE GLOBAL RUNOFF DATA CENTRE, KOBLENZ

GERMANY, 2010)

-30

-20

-10

0

10

20

30

40

1960 1970 1980 1990 2000 2010

Te

mp

era

ture

, oC mean temperature

max temperature

min temperature

Lineārs (mean temperature)

Lineārs (max temperature)

Lineārs (min temperature)

2012.01.12. 25

AVERAGE FLOW RATE IN DAUGAVA NEAR DAUGAVPILS, 1960-2010 (THE GLOBAL RUNOFF

DATA CENTRE, 56068 KOBLENZ GERMANY, 2010)

10

100

1000

10000

1960 1970 1980 1990 2000 2010

Dis

ch

arg

e, m

3 s-1 mean discharge

max discharge

min discharge

Lineārs (mean discharge)

Lineārs (max discharge)

Lineārs (min discharge)

2012.01.12. 26

CHANGES OF ZOOPLNAKTON DEPEND OF FLOW RATE(1962., 2008. – 2010.)

0

10

20

30

40

50

60

70

80

10 kmupstream

1962

1.5 kmdownstream

1962

10 kmupstream

2008

1.5 kmdownstream

2008

10 kmdownstream

2008

10 kmupstream

2009

1.5 kmdownstream

2009

10 kmdownstream

2009

ind

iv./

l

-100

-50

0

50

100

150

200

250

300

cm

Rotifera Cladocera Copepoda Mean water level above station’s zero grade (85.81 m)

0,1

1

10

100

1000

16.05

.201

0

02.06

.201

0

17.06

.201

0

01.07

.201

0

12.07

.201

0

30.07

.201

0

19.08

.201

0

30.08

.201

0

16.09

.201

0

30.09

.201

0

ind

iv./

l

-100

-50

0

50

100

150

200

250

300

350

Wat

er l

evel

ab

ove

sta

tio

n's

zer

o g

rad

e (8

5.81

m)

cm

10 km upstream Wastewater discharge 1.5 km downstream 10 km downstream water level

2012.01.12. 27

CHANGES OF ZOOPLNAKTON DEPEND OF SAPROBITATE(1962., 2008. – 2010.)

0%

20%

40%

60%

80%

100%

Upstrea

m 1962

Downstre

am19

62

Upstrea

m 2008

Downstre

am 2

008

Upstrea

m 2009

Downstre

am 2

009

indifferent α β-α β o-β o

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

10 k

mau

gšpu

s

1,5

lejp

us

10 k

mau

gšpu

s

1,5

lejp

us

10 k

mle

jpus

10 k

mau

gšpu

s

1,5

lejp

us

10 k

mau

gšpu

s

Att

īrīš

anas

iekā

rtas

1,5

lejp

us

10 k

mau

gšpu

s

1962 2008 2009 2010

0

0,5

1

1,5

2

2,5

Sap

rob

itāt

es i

nd

ekss

o-o-β β-α Saprobitātes indekss

2008. g. S pieauga no 1,3 līdz 1,8. 2010. g. S pieauga no 1,3 līdz 2,2.

2012.01.12. 28

ESF projekts „Atbalsts Daugavpils Universitātes doktora studiju īstenošanai” Vienošanās Nr.2009/0140/1DP/1.1.2.1.2/09/IPIA/VIAA/015

PATEICĪBASPATEICĪBAS

Dr., Prof. Artūrs ŠkuteiDr. biol. Renātei ŠkuteiDr. biol. Renātei ŠkuteiMg. biol. Janai PaidereiMg. biol. Janai Paiderei

Dr. biol. Dāvim GrubertamDr. biol. Dāvim GrubertamDr., Prof. Artūrs ŠkuteiDr. biol. Renātei ŠkuteiDr. biol. Renātei ŠkuteiMg. biol. Janai PaidereiMg. biol. Janai Paiderei

Dr. biol. Dāvim GrubertamDr. biol. Dāvim Grubertam

2012.01.12. 29

THANK YOU FOR ATTENTION!