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LOGOLOGO

Diana Jimena Monsalve HerreraConceição de Maria Albuquerque Alves

Ricardo Tezini Minoti

1 INTEGRATION OF WATER QUANTITY AND QUALITY MODELS FOR ASSESSMENT OF

WATERSHED CONTAMINANT LOADS INTO TRIBUTARIES OF PARANOA LAKE

Programa de Pós-Graduação em Tecnologia Ambiental

e Recursos Hídricos

Introduction



Increasing Population Pollution

Land use and

occupation

Riacho Fundo sub-basinRiacho Fundo sub-basin

“Água DF”

Introduction

Echevarria , 2007

Physicochemical studies

GeochemicalSediments

Quality problems caused for:

Increase in urbanizationSewage discharge and

nutrient loads

Menezes, 2010

Evolution of land use and occupation-DF

2009 87% intensive useurban and agriculture areas

Consequences:Increased runoff

Hydrological cycle modified

CODEPLAN , 2011

Average annual growth rate of population

DF2.3% (2000-2010)

Rate Riacho Fundo:(2004-2011)

Riacho Fundo II: 11.41%Aguas Claras: 14.12%


LOGOLOGO


LOGOLOGO

Introduction



Assess the availabilityand quality of water inthe Riacho Fundo sub-basin using theintegration of SWAT andWEAP models tosupport the decisionmaking, planning andmanagement of waterresources in the FederalDistrict.

General objective

Objectives .

To evaluate the use of WEAP as a decisionsupport system to water resourcesmanagement in the DF

Specific Objectives

To integrate SWAT and WEAP models for thesimulation of water quantity and qualityscenarios in the Riacho Fundo watershed.

To model hydrological processes and nutrientloads in watersheds with predominant use ofurban land using the SWAT model.



Objectives Generate information related to the availabilityand quality of water in the study area fromdifferent scenarios based on land use changes,demand increase and different wate watertreatment efficiencies of the Riacho FundoWWTP

Specific ObjectivesEvaluate the contaminant loads from RiachoFundo basin into the Paranoá lake.



www.themegallery.com

Simulation

Tool for IWRM.Use node and link

network to represent the WR system

Demand priorities and

Water availability

Analysis

Future scenarios:

AvailabilityQuality

DemandsOthers

Allows the modeling ofphysical processesassociated with themovement of water,sediment, vegetation growthcycle, nutrients, etc..information:climatic conditions;soil properties;topography, vegetation;conditions and managementpractices in the basin(Neitsch, et al., 2002).

HRU

Hydrology

NPS Pollution

Point Pollution

SWAT results

Quantity and

allocation module

Quality Module

FutureScenarios

Water (quality and availability) P&M

Methodology

Manual Calibration

Urban Area 1: Urban Low-density (URLD)Urban Area 2:Urban Average density (URMD)Urban Area 3: Urban High density (URHD)



Definition of the direction of outgoing and incoming flow

Data- soil types

Selection of the number ofsub-basins and definition

of slope

Land Use

HRU

DEM DF- Riacho Fundo

SimulationInsertion of climate data INMET: 1962-2012Data precipitation: Riacho Fundo WWTPSensitivity analysis

Manual CalibrationSimulation of land use changes scenarios

Obtenção e processamento de dados para o SWAT

ScenariosSWAT

• Scenario 1: change of use ofagricultural land to urban landuses of high urban density.

• Scenario 2: change of usesof urban low-density land forurban high density land.



Integrationof SWAT

and WEAP

Current Account: represents the current conditions of Hydric system.



• Reference Scenario: inherits the characteristics of the current scenario and has similar evolutions the current system without intervention.

• Future scenarios: They are created to answer the question "what if?". The Reference Scenario is altered

consumption per capita

Consumption (%)

p pAverage annual growth

rate of population

Priority

Population

Consumption

Total Phosphorus Removal

Total Nitrogen Removal

Daily capacity

SCENARIOS – Water Quantity Analysis

Future Scenarios

Increase in the rate of populationgrowth of 4.6% for the localities ofVicente Pires and Riacho FundoII

Increase in the rate of populationgrowth of 4.6% for the localities ofÁguas Claras, NúcleoBandeirante e Candangolândia.

Sce

nario

1

wea

pS

cena

rio 2

w

eap

Scenarios – Water Quality AnalysisChanges

River flow andquality

River flow andquality

20% increase inTotal Nitrogenremoval- RiachoFundo WWTP

Data used from SWAT

River flow and quality of Scenario 1 of SWAT.

River flow and quality of Scenario 2 of SWAT.

Streamflow values and quality introduced in the Reference Scenario, Scenario 1 and 2.

Sce

nario

1

wea

pS

cena

rio 2

w

eap

Effi

cien

cyof

WW

TPW

ithou

tW

WTP

SCENÁRIOS – Water Quality Scenarios

AssessmentS

CE

NA

RIO

1

wea

pS

CE

NA

RIO

2

wea

p

Effi

cien

cyof

WW

TPW

ithou

tW

WTP

Lamparelli, 2003: Limits: Trophic

Classification (SP)CONAMA 357/05:

0,000

3,000

6,000

9,000

12,000

15,000

18,000

21,000

Mrz

88

Mai

88

Jul 8

8

Sep

88

Nov

88

Jan

89

Mrz

89

Mai

89

Jul 8

9

Sep

89

Nov

89

Jan

90

Mrz

90

Mai

90

Jul 9

0

Sep

90

Nov

90

Jan

91

Mrz

91

Mai

91

Jul 9

1

Sep

91

Nov

91

Jan

92

Mrz

92

Mai

92

Jul 9

2

Sep

92

Nov

92

Jan

93

Mrz

93

Mai

93

Jul 9

3

Sep

93

Nov

93

Vazã

o (m

³/s)

Data

Q observada

Q simulada

Best streamflow calibration (1988-1993)



0,00

4,00

8,00

12,00

16,00

20,00Ja

n 94

Feb

94M

rz 9

4Ap

r 94

Mai

94

Jun

94Ju

l 94

Aug

94

Sep

94

Okt

94

Nov

94

Dez

94

Jan

95Fe

b 95

Mrz

95

Apr 9

5M

ai 9

5Ju

n 95

Jul 9

5A

ug 9

5S

ep 9

5O

kt 9

5N

ov 9

5D

ez 9

5Ja

n 96

Feb

96M

rz 9

6Ap

r 96

Mai

96

Jun

96Ju

l 96

Aug

96

Sep

96

Okt

96

Nov

96

Dez

96

Vazã

o (m

³/s)

Data

Q observada

Q simulada

Validation (1994-1996)



y = 1.1656xR² = 0.8612

0

5

10

15

20

25

0,000 5,000 10,000 15,000 20,000

Q s

imul

ada

(m³/s

)

Q observada (m³/s)

Q simulada

Linha de tendência

y = 0.8225xR² = 0.6987

0

4

8

12

0,00 5,00 10,00 15,00

Q s

imul

ada

(m³/s

)

Q observada (m³/s)

Q simulada

Linha de Tendência

Stage Statistics Value ClassificationMoriasi et al., 2007

Cal

ibra

tion

1988

-199

3

NSE 0.73 Good

PBIAS % -15.63 Satisfactory

RSR 0.51 Good

Valid

atio

n19

94-1

996

NSE 0.615 Satisfactory

PBIAS % 14.48 Good

RSR 0.62 Satisfactory

Best Calibration of Total Phosphorus and Total Nitrogen

02000400060008000

1000012000140001600018000

Jan

04Ap

r 04

Jul 0

4O

kt 0

4Ja

n 05

Apr 0

5Ju

l 05

Okt

05

Jan

06Ap

r 06

Jul 0

6O

kt 0

6Ja

n 07

Apr 0

7Ju

l 07

Okt

07

Jan

08Ap

r 08

Jul 0

8O

kt 0

8

P to

tal (

Kg/

mês

)

Data

P total obsP total sim

02000400060008000

100001200014000

Jan

09

Feb

09

Mrz

09

Apr 0

9

Mai

09

Jun

09

Jul 0

9

Aug

09

Sep

09

Okt

09

Nov

09

Dez

09

Jan

10

Feb

10

Mrz

10

Apr 1

0

P to

tal (

Kg/

mês

)

Data

P total obsP total sim

020000400006000080000

100000120000140000160000

Jan

04

Mai

04

Sep

04

Jan

05

Mai

05

Sep

05

Jan

06

Mai

06

Sep

06

Jan

07

Mai

07

Sep

07

Jan

08

Mai

08

Sep

08

N to

tal (

Kg/

mês

)

Data

N total obsN total simu

01000020000300004000050000600007000080000

Jan

09Fe

b 09

Mrz

09

Apr 0

9M

ai 0

9Ju

n 09

Jul 0

9A

ug 0

9S

ep 0

9O

kt 0

9N

ov 0

9D

ez 0

9Ja

n 10

Feb

10M

rz 1

0Ap

r 10

N to

tal (

Kg/

mês

)

Data

N total obsN total sim

Calibration PT:

Validation PT:

Calibration NT:

Validation NT:

02468

10121416

1 2 3 4 5 6 7 8 9 10 11 12

Vazõ

es (m

³/s)

Meses

Comparação de cenários -ano 1988

Q original

Cenario1

Cenario2

Scenarios SWAT

0

2

4

6

8

10

1 2 3 4 5 6 7 8 9 10 11 12

Vazõ

es (m

³/s)

Meses

Comparação de cenários-ano 2003

Q originalCenario1Cenario2

0

5

10

15

20

25

1 2 3 4 5 6 7 8 9 10 11 12

Vazã

o (m

³/s)

Meses

Comparação de cenários- Ano 2011

Q original

Cenario1

Cenario2



0

1000

2000

3000

4000

5000

6000

1 2 3 4 5 6 7 8 9 10 11 12

Car

ga F

osfo

ro T

otal

(K

g/m

ês)

Meses

Cenários para Fósforo Total-ano 1988

Cenario2

CENARIO1

PT_original

0

1000

2000

3000

4000

1 2 3 4 5 6 7 8 9 10 11 12

Car

ga F

osfo

ro T

otal

(K

g/m

ês)

Meses

Cenários para Fósforo Total-ano 2003

Cenario2

CENARIO1

PT_original

0

5000

10000

15000

20000

1 2 3 4 5 6 7 8 9 10 11

Car

ga F

osfo

ro T

otal

(K

g/m

ês))

Meses

Cenários para Fósforo Total- ano 2011

Cenario2

CENARIO1

PT_original



Scenarios SWAT

05000

100001500020000250003000035000

1 2 3 4 5 6 7 8 9 10 11 12

Car

ga N

itrog

ênio

Tot

al

(Kg/

mês

)

Meses

Cenarios para Nitrogênio Total-ano 1988

Cenario2

Cenario1

NT_original

02000400060008000

1000012000140001600018000

1 2 3 4 5 6 7 8 9 10 11 12

Car

ga N

itrog

ênio

Tot

al

(Kg/

mês

)

Meses


Cenario2

Cenario1

NT_origina

0100002000030000400005000060000700008000090000

1 2 3 4 5 6 7 8 9 10 11 12

Car

ga N

itrog

ênio

Tot

al

(Kg/

mês

)

Meses


Cenario2

Cenario1

NT_original



Scenarios SWAT

2011

2025

2025

Nutrient Maximum valueNode WWTP (mg/L) Value in the outlet basin Scenario

NT 6.68 1.68 2PT 0.23 0.12 2

The integration of SWAT and WEAP provides good results in the caseof simulation of water quality. Since the WEAP can not simulate diffusepollution, SWAT is a very useful model that provides this kind of resultsin a detailed way, and it consider all the features of the basin as landuse, management, soil type, among others.



Integration of models depends on the level of detail of thestudy

The integration SWAT-WEAP needs a defined approach toestablish a link between changes in land use in SWAT andthe rate of population growth in the demand nodes in WEAP



SWAT provides very detailedsimulations of hydrology and quality

The WWTP node (WEAP) showed the highest concentrations especiallyfor the Nitrogen, but the contribution of the tributaries helped on thereduction of the concentrations along the Riacho Fundo River.

The presence of phosphorus was mainly affected by the sediment loadsfrom the watershed. The final concentration at the outlet of the basinapproached the regulated limit defined by the CONAMA Resolution357/05, showing the vulnerability of the lake.

The NT and PT values in sub-basin outlet classified the water source asmeso-eutrophic, representing intermediate levels of productivity



The scenario without release of treated sewage from the WWTPRiacho Fundo, showed good results in improving the quality of the river

The scenario increasing the NT removal efficiency of the WWTP RiachoFundo reported significant improvement in the water quality of the River Riacho Fundo



Acknowledgements




LOGOLOGO

Stage Statistics Value Classification( Moriasi et al. , 2007 )

Cal

ibra

ção

2004

-200

8 NSE -3.43 unsatisfactory

PBIAS % -133.8 unsatisfactory

RSR 2.10 unsatisfactory

Verif

icaç

ão20

09-2


PBIAS % -95.88 unsatisfactory


Best Calibration of Total Phosphorus

Low efficiency in the simulation Overestimation of simulated loads

High dispersion of data.

Best Calibration of Total Nitrogen

Stage Statistics ValueClassification

( Moriasi et al. , 2007 )

Cal

ibra

ção

2004

-200

8 NSE 0.45 unsatisfactory

PBIAS % 24.70 Very Godd


Verif

icaç

ão20

09-2


PBIAS % 20.47 Very Good

RSR 1.36unsatisfactory

Low efficiency in the simulation

Underestimation of simulated loads

High dispersion of data

Better results than the PT.


LOGOLOGO

Based on the results obtained from WEAP about Descoberto Lake, itwas observed that the reservoir has the capacity to supply the townsthat currently make use of this water.

Decreased storage



Vulnerability ofLake

Important!! take care of water sources

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