Ca Catc tchme hment nt an and riv d river er model dels s as - - PowerPoint PPT Presentation

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Nov 05, 2022 171 likes •392 views

Project Development of data-modelling system and the decision support tool for the integrated marine and inland water management Ca Catc tchme hment nt an and riv d river er model dels s as a tool to estimate nitrogen and

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Ca Catc tchme hment nt an and riv d river er model dels s

as a tool to estimate nitrogen and phosphorus load – Estonian approach

Peeter Ennet, Eero Pihelgas May 2015, Uppsala

Project

„Development of data-modelling system and the decision support tool for the integrated marine and inland water management“

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Gen ener eral al pri rinc nciple iples for for ap applic icatio ations ns

Web-based
Map-based
Module-based
Language Exchange
Automatic installation
Automatic data filling
Logical checks
User version storage
Userfriendly support
User manual
Commented code

DATABASE

Initial data
Model results
…

WEBSERVER

Data formatting
Calculation functions
Applications
…

CLIENT Client application

Data visualisation
Input sending

Client database

Client setting
Client versions

DATABASE

Initial data
Model results
…

DATABASE

Initial data
Model results
…

DATABASE

Initial data
Model results
…

CLIENT Client application

Data visualisation
Input sending

Client database

Client setting
Client versions

CLIENT Client application

Data visualisation
Input sending

Client database

Client setting
Client versions

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Applications parameters and algorithms
Input data (the presence, location, quality)
Data linking
Upgrading databases
Prototypes of web applications (programming and testing)
Continuous cooperation with IT developer
Training

Gen ener eral al ac acti tivit itie ies

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Ch Char aract acteri eristic tic sc scales ales (model del se selec ection) tion)

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Steady-state (coefficient-based) models

Local N,P runoff model (Porijõgi model)
PolFlow
Mesaw
Qual2
Vollenweider lake model
Estmodel
Qual2 + Vollenweider + Estmodel

Model dels

Dynamic (process-based) models

GETM+ERGOM
SWAT
HYPE
SOIL-N
INCA

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GETM – cir irculat ulatio ion n mode del

Domain: Baltic Sea with 1 nm horizontal resolution and 40 layers adaptive coordinates. Atmospheric forcing: HIRLAM regionalized ERA40 hindcast (BaltAN65+ dataset) River runoff and nutrient loads: Balt-HYPE 30 main rivers Open boundaries: S, T, sea elevation Period: 1966 - 2006

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Nutrients:

(NO3, NH4) (PO4)

Sediments: Phytoplankton

ERGO RGOM – nu nutr trie ient nts s mode del

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Hydr ydrolo

logic

gic cy cycle cle

SWAT - Soil and Water Assessment Tool

Spatial Scale: watershed or river basin Data Organization: subbasins or hydrologic response units (HRU’s) Time scale: Continuous time model (long term yield model) based on a daily scale Not for a single event Data Inputs: weather, soil properties, topography, vegetation, and land management practices

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1. Steady state hydraulics
2. Diurnal heat budget
3. Diurnal water- quality kinetics
4. Point and non-point loads are simulated
5. One dimensional, well-mixed

Qu Qual al ( (ri river er wat ater er qual ualit ity y model del)

Qi = Qi-1 + Qin,i – Qab,i

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Qu Qual al ( (mode

l vari ariable ables) s)

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Qu Qual al ( (growth & N & N, , P lim imit itat atio ion) n)

Leonor Michaelis (1875-1949) Maud Menten (1879-1960)

M ichaelis-Menten equation

0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 20 40 60 80 100 Concentration C Growth rate m

CS = 5 CS = 10 CS = 20 4 3 4 3 max

NH NO N NH NO

    m m

4 4 max

PO P PO

S 

 m m

m = f(T; min(P,N); I)

Leonor Michaelis (1875-1949)

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The main ideas: Sources of nutrients are divided into different groups. Group-specific coefficients are used in calculations. Diffused runoff of nutrients depends on water discharge. The model output is annual N,P runoff and it allows roughly to estimate the diffused land-based pollution.

Estm tmode

l (es esti timatio ation n of di diffus used ed pollut lutio ion) n)

III II III IB IB IA

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Vollen lenwei eider der lak ake mo e model del

where TPin – input, TPout - output,

tw - lake hydraulic retention time, s - first-order rate constant for phosphorus loss.

) 1 (

t s

w in

TP TP

 

The Vollenweider phosphorus mass loading model can be expressed as:

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1 4 3 2 6 5

Open boundary Water use ESTMODEL (diffused source) Diffused water use Open boundary Point source

Estm tmod

el + Q + Qua ual + V + Vollen enwei eide der r mode del

Inflow WOLLENWEIDER LAKE MODEL QUAL RIVER MODEL

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Mode del exp xper erim iment ents

The model system (Estmodel + Qual) was applied for the Pärnu river basin:

river length 143 km
basin area 6911 km2
637 villages and 11 towns
population in the River Pärnu basin is ca190 000
ca 55% of population live in cities,
in Pärnu ca 52 000

The upper reaches of the River Pärnu and its tributaries flow through the best agricultural lands in Estonia. In the middle course the landscape changes radically. There is an increase of large mire systems and extensive forests. The river’s daily runoff is measured at 9 hydrological stations and the water quality parameters are monitored at 9 hydro-chemical stations in the River Pärnu basin.

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Pär ärnu nu ri river er ba basi sin

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Proble blems s - the la e lack ck of da data, a, par aral allel lel se segmen ents ts, , ti tiny y tr trib ibut utari aries es, , .. ... .

10 20 30 40 50 60 70 80 90 1 24 47 70 93 116 139 162 185 208 231 254 277 300 323 346 369 392 415 438 461 484 507 530 553

USING AVAILABLE DATA CORRECTED LINE (connecting minimum points)

Distance Elevation

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Estm tmod

el res esul ults ts – nu nutr trie ient nts s run unoff

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Qu Qual al2 2 res esul ults ts – nu nutr trie ient nts s in in ri river er

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Qu Qual al2 2 res esul ults ts – nu nutr trie ient nts s in in ri river er

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Water Specialists’ Desktop dev.kindlus.ee/wsd?hl=en