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Logo grupo WP 2. HYDROL WP2. HYDROL - Surface and groundwater hydrology. Associated processes at different scales. Presentation about: work done and work.

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Presentation on theme: "Logo grupo WP 2. HYDROL WP2. HYDROL - Surface and groundwater hydrology. Associated processes at different scales. Presentation about: work done and work."— Presentation transcript:

1 Logo grupo WP 2. HYDROL WP2. HYDROL - Surface and groundwater hydrology. Associated processes at different scales. Presentation about: work done and work to do in the next future

2 Logo grupo Three major tasks: i) To analyze the impact of the interaction processes in water interfaces (water and sediments accumulated in dams, river beds, hyporreic zone, infiltration ponds,…) on water quality in the study basins ii) To characterize the effects of artificial recharge operations on water quality iii) To determine the likelihood of chemical compounds to reach the water bodies in concentrations exceeding a given threshold. TASKS

3 Logo grupo The boundary conditions… D2.1. Characterization of processes taking place at the different interfaces within water bodies, with emphasis on reactive transport development (UPC) (month 18). Training activity: Managed artificial recharge for sustainable water management under varying climate conditions: quantitative and qualitative aspects. Organized by UPC in collaboration with UPM and IDAEA-CSIC. So, first processes; then applications to the sites

4 Logo grupo Fate of micropollutants: batch experiments (UPC + IDAEA)

5 Logo grupo NO 3 NO 2 Alk DOC DCF SMX DCF a) b) c) 0.1 LDet Figure 1: results for “Experiment 1” (individual pollutant at initial concentration of 1microg/L ). a) chemical evolution with time in the biotic NO3- reducing experiment; b) evolution with time of the average normalized concentration (with respect to the initial value C 0 ) of diclofenac (DCF) and sulfamethoxazole (SMX) in the biotic test. “LDet” stays for Limit of Determination; c) idem in the abiotic test.

6 Logo grupo NO 3 Alk DCF SMX DCF DOC APP NO 2 a) b) c) Figure 2: results for “Experiment 2” (individual pollutant at initial concentration of 1mg/L ). a) chemical evolution with time in the biotic NO3- reducing experiment; b) evolution with time of the average normalized concentration (with respect to the initial value C 0 ) of Acetaminophen (APP), DCF and SMX in the biotic test. “ c) idem in the abiotic test.

7 Logo grupo a) c) b) d) Figure 3: Evolution of DCF, Nitro-DCF (NO2-DCF), and nitrite in the biotic series of “Experiment 1” (plot “a)”) and “Experiment 2” (plot “b”). Evolution of SMX, 4-Nitro-SMX (4-NO2-SMX), and nitrite in the biotic series of “Experiment 1” (plot “c)”) and “Experiment 2” (plot “d”).

8 Logo grupo Fate of micropollutants: real site (UPC + IDAEA) Based on column experiments Artificial recharge facility Organic matter layer: 60 cm of compost + natural soil (40 % – 60%) Plus some iron hydroxide The test has just started…

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10 Exchange processes: coupling cation exchange with sorption

11 Logo grupo Biofilm transient impact upon recharge/ clogging (UPC + ICRA)  Soil wetting and feeding  Biofilm Dessication /scrubbing  Biofilm development  Soil rewetting

12 Logo grupo Sensor and experimental set up Tank to couple hydrology and biology Coarse and sandy soil collected from the pound in 3 locations

13 Logo grupo Abiotic measurments  Soil moisture, EC and temperature  Water suction  Water flow

14 Logo grupo Biotic measurments  Microlysimeter, collection of liquid samples  Dissolved oxygen, conductivity, pH/ORP nitrate, chloride and temperature  Eventually planar octopodes to measure oxygen Imaging surface

15 Logo grupo INFILTRATION /FEEDING P

16 Logo grupo BIOFILM FORMATION P

17 Logo grupo BIOFILM CLOGGING P

18 Logo grupo DESSICATION/SCRUB

19 Logo grupo REWETTING

20 Logo grupo Processes: facies delineation/reconstruction Very similar to CSI With little (to no) information, reconstruct as best as possible the undersampled formation

21 Logo grupo Modelling efforts on reactive transport (UPC+ UPM) Tool development, to be started soon

22 Logo grupo Original figure. Selection of 10 random samples Realization 1Realización 2Realización 3 Realización 50 Realización 100

23 Logo grupo Classsical Kernel Regression Orden 2 CKR2 (Iteración 0) Figura original Realización 1Realización 2Realización 3 Realización 50 Realización 100

24 Logo grupo Steering Kernel Regression Orden 2 SKR2 (Iteración 1) Figura original Realización 1Realización 2Realización 3 Realización 50 Realización 100

25 Logo grupo Steering Kernel Regression Orden 2 SKR2 (Iteración 2) Figura original Realización 1Realización 2Realización 3 Realización 50 Realización 100

26 Logo grupo Concentric formations

27 Logo grupo ARTIFICIAL RECHARGE ACTIVITIES En zanjas En superficie Infiltrómetro de “Doble Anillo”

28 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Ensayos puntuales para la medición del capacidad de infiltración de la superficie de la balsa II. Interpretación

29 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Ensayos puntuales para la medición del capacidad de infiltración de la superficie de la balsa III. Resultados PuntoInfiltración (m/día) Enero 09 S1 0.2 S2 2.6 S3 2.9 S4 3.3 S S6 12.6

30 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Mapa de variabilidad espacial de los parámetros físicos y hidráulicos en la superficie de la balsa de infiltración (SIP)

31 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Resultados de un ensayo de inundación

32 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Estado de la balsa antes del ensayo de infiltración

33 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Estado de la balsa durante el ensayo Colmatación por error humano («human failure») Error de cálculo, diseño, aleatoriedad de estabilidad de las estructuras, eventos extremos, vandalismo, …

34 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Estado de la balsa después del ensayo de infiltración Colmatación por efectos naturales Crecimiento de algae, trapping de coloides, sedimentación de material fino en suspencion, precipitacíon de minerales, …

35 Logo grupo LOCAL INFILTRATION VARIATIONS PuntoInfiltración (m/día) Junio 09 Diferencia con el valor anterior (antes del ensayo) S % S % S % S % S % S % S S S9 0.75

36 Logo grupo EFFECTIVE PARAMETERS Model: I = I _0 exp (- λ e t) + (I_R-I_0)

37 Logo grupo Sitio de estudio en Sant Vicenç dels Horts: Oscilaciones de la temperatura y su relación con el gradiente hidráulico

38 Logo grupo Risk Assessment: Overview and Challenges

39 Logo grupo Illustration of the Process 1) Identifying contaminant source releases & environmentally sensitive targets. 2) Data acquisition used to infer modeling parameters! Site characaterization. 3) Final task: Estimate human health risk toward decision making! Should a site be remediated or not? Is the exposed population at risk?

40 Logo grupo OR AND System Failure Critical Concentrations Sources-Receptors Pathways-Processes CC 11 CC 12 CC ij CC nm  CS i PR j SF OR AND PW ijp FAT ijp AND  AND 

41 Logo grupo CS i PR j AND OR SA ijk  AND OBS k BP ijk  WELL 1 WELL k WELL nw  BP ijk FAT ijk AND FAT ijk OR Sources- Receptors Pathways-Processes Observation wells

42 Logo grupo Computation of probabilities for a monitoring system of two wells:

43 Logo grupo Evolution of Risk with time T: The most sensitive failure mode is the occurrence of simultaneous small sampling frequency

44 Logo grupo APPLICATIONS? so far NAPLs? NAPLs: Non-Aqueous Phase Liquids Fluids capable to stay in the subsurface in a different (non-aqueous) phase thanks to its low solubility LNAPLs (gasoline and other Hydrocarbons)  density below water density DNAPLs (Chlorinated solvents)  density higher than water

45 Logo grupo Failure of Remediation Time END-POINT C RISK AFTER REMEDIATION

46 Logo grupo Vapor flux Dissolved plume PROBLEM STATEMENT EVALUATE THE RISK IS DIFFICULT DUE TO: MANY PATHS, PROCESSES, RECEPTORS, SOURCES, SAMPLING, OBSERVATION PATH 1 PATH 2 PATH 3 PATH 4

47 Logo grupo Failure due to Sampling Frequency SOURCE ZONE DNA PL RECEPTOR OBS C time OBSRECEPTO R

48 Logo grupo Failure due to Bypassing SOURCE ZONE DNA PL RECEPTOR OBS C time OBS RECEPTO R

49 Logo grupo Fate and transport We need a transport model or a set of transport models to generate a large number of replicates of the system based on some uncertain parameters

50 Logo grupo Model Parameters RECEPTOR CONTAMINATE D SITE OBSERVATIONS

51 Logo grupo Mass Depletion with Time Mass depletion exponent

52 Logo grupo Review of literature BetaRemediation MethodContaminant Canadian Forces Base Borden Site, Ontario 0.32natural gradient water flush TCM, TCE, PCE in situ chemical oxidation 0.24natural gradient water flush 0.63surfactant enhanced aquifer remediation Hill Air Force Base 0.80cosolvent 1.74surfactant enhanced aquifer remediation 0.35cyclodextrin flushing Dover National Test Site 0.72Ethanol flush 1.03n-Propanol flush 2.36surfactant enhanced aquifer remediation NASA Lunch Complex in situ chemical oxidation 0.64emulsified zero-valent iron Air Force Plant Six Phase heating 0.92 Sages Dry Cleaners0.62cosolventPCE Tucson International Airport5.80pump-and-treatTCE, 1,1-DCE Paducah Gaseous Diffusion Plant0.31Six Phase heatingTCE, PCBs, VOCs Camp Lageune0.61surfactant enhanced aquifer remediationPCE Former Recycling Facility0.15in situ chemical oxidationPCE,TCE,cis-DCE Savannah River Site1.64in situ chemical oxidation Pinellas Site1.19rotary steam strippingTCE, methylene chloride, DCE, VC Prior Knowledge

53 Logo grupo Integration of data in real time Measurements are incorporated into PRA using Bayes PRIOR KNOWLEDGE POSTERIOR KNOWLEDGE

54 Logo grupo Algorithm Choose prior knowledge Update pdf with Bayes Generate many replicates of the system based on Compute probability of failure

55 Logo grupo Example of application

56 Logo grupo SAMPLING RECEPTOR OBS Observations

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58 Prior realizationsPosterior realizations

59 Logo grupo Evolution of Risk with time

60 Logo grupo MORE Applications TO BE DECIDED


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