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1 Simulation of potentially toxic elements (PTEs) transport in stormwater management practices (SMPs) October 2019 Ali Behbahani, Robert Ryan, Erica McKenzie

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  • 1

    Simulation of potentially toxic elements (PTEs) transport in stormwater management

    practices (SMPs)

    October 2019

    Ali Behbahani, Robert Ryan, Erica McKenzie

  • INTRODUCTION

    2

    • Rainfall surface runoff water resource quantity (flooding, erosion)

    • Control stormwaterquality (hazards to water resources and media)

    • Stormwater management practice (SMP); infiltration into soil, vegetative cover

    - design parameters: hydrological data, loading ratio, soil type (Kd), vegetative cover

    PTEs ; daily usage, non-degradable

    https://stormwater.pca.state.mn.us/index.php?title=File:Sand_filter_credit_article.jpg

  • LOADING RATIO (LR)

    3

    • 𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥 𝐫𝐫𝐥𝐥𝐫𝐫𝐥𝐥𝐥𝐥 = 𝐥𝐥𝐫𝐫𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐥𝐝𝐝 𝐥𝐥𝐫𝐫𝐝𝐝𝐥𝐥𝐥𝐥𝐥𝐥𝐢𝐢𝐥𝐥𝐥𝐥𝐫𝐫𝐫𝐫𝐥𝐥𝐫𝐫𝐥𝐥𝐥𝐥𝐥𝐥 𝐥𝐥𝐫𝐫𝐝𝐝𝐥𝐥

    • Maximum LRs of 8, 8, and 5 are recommended in Pennsylvania, Delaware, and Michigan, respectively.

    • LR effect on water quality is rarely studied as a designing parameter

    Caplan et al., 2018

  • ADSORPTION COEFFICIENT

    4

    • 𝑲𝑲𝒅𝒅 𝒂𝒂𝒂𝒂 𝒂𝒂𝒅𝒅𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂 𝒄𝒄𝒂𝒂𝒄𝒄𝒄𝒄𝒄𝒄𝒂𝒂𝒄𝒄𝒂𝒂𝒄𝒄𝒂𝒂𝒂𝒂(PTEs partitioning between aqueous and solid phases)

    • Highly case-dependent

    • PTE adsorption coefficient in soil depends mostly on

    - pH- organic matter content- metal type- PTE concentration - type of soil- Cationic exchange capacity http://www.personal.psu.edu/faculty/a/s/asm4/turfgrass/education/turge

    on/lessons/lesson13/corefiles/links/pestdanger/ad1.html

  • OBJECTIVES

    5

    • Assessing breakthrough and accumulation of PTEs in SMPs and how various LR and Kd impact the performance of SMP

    • Estimating contamination indices in the porous media (soil) and porewater

    • Determining which PTEs have higher priority in terms of imposing contamination

    A cluster of metals (Cr, Fe, Cu, Zn, As, Cd, and Pb) and Cl- will be studied.

  • METHOD

    6

    Simulation schematic

    inputRainfall record(KPNE weather

    station)

    Surface contamination

    (I95 samples and lognormal

    distribution)

    Soil characteristics

    output

    PTE Conc in porewater

    PTE Conc in soil

  • METHOD

    7

    Computational process

    A) water transport

    • To determine the water content at each time and depthinfiltration rate is assumed equal to saturated hydraulic conductivity

    f infiltration rate (L/T), K is saturated hydraulic conductivity (L/T)

    Insignificant impact owing to equilibrium adsorption model (independent of contact time)

  • METHOD

    8

    𝑪𝑪𝑺𝑺 = 𝑲𝑲𝒅𝒅𝑪𝑪𝑾𝑾

    𝒎𝒎𝒂𝒂𝒂𝒂𝒂𝒂 𝒄𝒄𝒂𝒂𝒂𝒂𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒆𝒆 𝒂𝒂𝒕𝒕𝒄𝒄 𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄 𝒖𝒖𝒂𝒂𝒂𝒂𝒂𝒂 = [𝑪𝑪𝑾𝑾𝑾𝑾× 𝑽𝑽] + [𝑪𝑪𝑺𝑺𝑾𝑾 × 𝑴𝑴𝒂𝒂]𝒎𝒎𝒂𝒂𝒂𝒂𝒂𝒂 𝒄𝒄𝒆𝒆𝒂𝒂𝒂𝒂𝒂𝒂𝒆𝒆 𝒂𝒂𝒕𝒕𝒄𝒄 𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄 𝒖𝒖𝒂𝒂𝒂𝒂𝒂𝒂 = [𝑪𝑪𝑾𝑾𝒄𝒄× 𝑽𝑽] + [𝑪𝑪𝑺𝑺𝒄𝒄 × 𝑴𝑴𝒂𝒂]

    Mass balance: 𝑪𝑪𝑾𝑾𝑾𝑾 × 𝑽𝑽 + 𝑪𝑪𝑺𝑺𝑾𝑾 × 𝑴𝑴𝒂𝒂 = 𝑪𝑪𝑾𝑾𝒄𝒄 × 𝑽𝑽 + 𝑲𝑲𝒅𝒅𝑪𝑪𝑾𝑾𝒄𝒄𝑴𝑴𝒂𝒂

    𝑪𝑪𝑾𝑾𝒄𝒄 =𝑪𝑪𝑾𝑾𝑾𝑾 × 𝑽𝑽 + 𝑪𝑪𝑺𝑺𝑾𝑾 × 𝑴𝑴𝒂𝒂

    𝑲𝑲𝒅𝒅𝑴𝑴𝒂𝒂 + 𝑽𝑽& 𝑪𝑪𝑺𝑺𝒄𝒄 = 𝑲𝑲𝒅𝒅𝑪𝑪𝑾𝑾𝒄𝒄

    𝐶𝐶𝑊𝑊𝑊𝑊 :𝑃𝑃𝑃𝑃𝑃𝑃 𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐 𝑐𝑐𝑐𝑐 𝑝𝑝𝑐𝑐𝑐𝑐𝑐𝑐 𝑤𝑤𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑚𝑚𝑚𝑚𝐿𝐿 𝑐𝑐𝑐𝑐 𝑐𝑐𝑡𝑐𝑐 𝑐𝑐𝑐𝑐𝑒𝑒 𝑐𝑐𝑜𝑜 𝑐𝑐𝑐𝑐𝑚𝑚𝑐𝑐𝑡𝑡: 𝑠𝑠𝑐𝑐𝑐𝑐𝑐𝑐𝑚𝑚𝑤𝑤𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐 𝑐𝑐𝑟𝑟𝑐𝑐𝑐𝑐𝑜𝑜𝑜𝑜 𝑣𝑣𝑐𝑐𝑣𝑣𝑟𝑟𝑚𝑚𝑐𝑐 𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑚𝑚 𝑐𝑐𝑡𝑐𝑐 𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑣𝑣 𝑣𝑣𝑐𝑐𝑣𝑣𝑟𝑟𝑚𝑚𝑐𝑐 𝑒𝑒𝑟𝑟𝑐𝑐𝑐𝑐𝑐𝑐𝑚𝑚 𝑐𝑐𝑐𝑐𝑚𝑚𝑐𝑐 𝑠𝑠𝑐𝑐𝑐𝑐𝑝𝑝 (𝐿𝐿)

    𝑪𝑪𝑺𝑺𝑾𝑾:𝑷𝑷𝑷𝑷𝑷𝑷 𝒄𝒄𝒂𝒂𝒂𝒂𝒄𝒄𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂 𝒂𝒂𝒂𝒂 𝒂𝒂𝒕𝒕𝒄𝒄 𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄𝒎𝒎𝒆𝒆𝑲𝑲𝒆𝒆 𝒂𝒂𝒂𝒂 𝒂𝒂𝒕𝒕𝒄𝒄 𝒂𝒂𝒂𝒂𝒂𝒂 𝒂𝒂𝒄𝒄 𝒄𝒄𝒂𝒂𝒍𝒍𝒄𝒄𝒂𝒂

    𝑪𝑪𝑺𝑺𝒄𝒄:𝑷𝑷𝑷𝑷𝑷𝑷 𝒄𝒄𝒂𝒂𝒂𝒂𝒄𝒄𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂 𝒂𝒂𝒂𝒂 𝒂𝒂𝒕𝒕𝒄𝒄 𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄𝒎𝒎𝒆𝒆𝑲𝑲𝒆𝒆 𝒂𝒂𝒂𝒂 𝒂𝒂𝒕𝒕𝒄𝒄 𝒃𝒃𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒎𝒎 𝒂𝒂𝒄𝒄 𝒂𝒂𝒕𝒕𝒄𝒄 𝒄𝒄𝒂𝒂𝒍𝒍𝒄𝒄𝒂𝒂

    𝑪𝑪𝑾𝑾𝑾𝑾:𝑷𝑷𝑷𝑷𝑷𝑷 𝒄𝒄𝒂𝒂𝒂𝒂𝒄𝒄𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂 𝒂𝒂𝒂𝒂 𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄 𝒘𝒘𝒂𝒂𝒂𝒂𝒄𝒄𝒂𝒂𝒎𝒎𝒆𝒆𝑳𝑳 𝒂𝒂𝒂𝒂 𝒂𝒂𝒕𝒕𝒄𝒄 𝒂𝒂𝒂𝒂𝒂𝒂 𝒂𝒂𝒄𝒄 𝒄𝒄𝒂𝒂𝒍𝒍𝒄𝒄𝒂𝒂

    𝑪𝑪𝑾𝑾𝒄𝒄:𝑷𝑷𝑷𝑷𝑷𝑷 𝒄𝒄𝒂𝒂𝒂𝒂𝒄𝒄𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂 𝒂𝒂𝒂𝒂 𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄 𝒘𝒘𝒂𝒂𝒂𝒂𝒄𝒄𝒂𝒂𝒎𝒎𝒆𝒆𝑳𝑳 𝒂𝒂𝒂𝒂 𝒃𝒃𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒎𝒎 𝒂𝒂𝒄𝒄 𝒂𝒂𝒕𝒕𝒄𝒄 𝒄𝒄𝒂𝒂𝒍𝒍𝒄𝒄𝒂𝒂

    𝑲𝑲𝒅𝒅:𝒂𝒂𝒅𝒅𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂 𝒄𝒄𝒂𝒂𝒄𝒄𝒄𝒄𝒄𝒄𝒂𝒂𝒄𝒄𝒂𝒂𝒄𝒄𝒂𝒂𝒂𝒂𝑳𝑳𝑲𝑲𝒆𝒆

    𝑴𝑴𝑺𝑺: 𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄 𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄 𝒖𝒖𝒂𝒂𝒂𝒂𝒂𝒂 𝒎𝒎𝒂𝒂𝒂𝒂𝒂𝒂 𝑲𝑲𝒆𝒆

    𝑽𝑽: 𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒎𝒎𝒘𝒘𝒂𝒂𝒂𝒂𝒄𝒄𝒂𝒂 𝒂𝒂𝒖𝒖𝒂𝒂𝒂𝒂𝒄𝒄𝒄𝒄 𝒗𝒗𝒂𝒂𝒄𝒄𝒖𝒖𝒎𝒎𝒄𝒄 𝒄𝒄𝒂𝒂𝒂𝒂𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒆𝒆 𝒂𝒂𝒕𝒕𝒄𝒄 𝒄𝒄𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒂𝒄𝒄 𝒗𝒗𝒂𝒂𝒄𝒄𝒖𝒖𝒎𝒎𝒄𝒄 𝒅𝒅𝒖𝒖𝒂𝒂𝒂𝒂𝒂𝒂𝒆𝒆 𝒂𝒂𝒂𝒂𝒎𝒎𝒄𝒄 𝒂𝒂𝒂𝒂𝒄𝒄𝒂𝒂 (𝑳𝑳)

    Computational process

    B) adsorption

  • METHOD

    9

    Computational process

    C) contamination evaluation

    • PTE concentration in aqueous and solid phases will be expressed as a ratio of published values• Geometric mean represents the simultaneous consideration of both phases• It is important to decide at what depth / depths, we are interested in evaluations

    SCI(soil contamination index) =CsSx

    PWCI(porewater contamination index) =CwLx

    TCI(total contamination index) = 𝑆𝑆𝐶𝐶𝑆𝑆 × 𝑃𝑃𝑃𝑃𝐶𝐶𝑆𝑆

    Porewater contamination index at groundwater table; soil contamination index at soil top layers

  • R E S U LT S - P T E T R A N S P O R T

    10

    Complete breakthrough when CwC0

    = 1

    Assessment of PTE transport using a fixed precipitation and load

    Normalized Cl- (representing mobile PTE) porewater concentrations at various depths below the surface for constant precipitation, C0 = 1600 mg/L, LR=8, and Kd = 1 and 10 L/kg

    Chloride is highly mobile and readily reaches groundwater (after 1.1 years)

    Complete breakthrough after 1.6 years

    A higher adsorption coefficient (higher loam or amended soil) resulted in more delay in breakthrough __ complete breakthrough after 14.8 years

  • R E S U LT S - P T E T R A N S P O R T

    11

    Normalized porewater concentrations of marginally mobile and significantly immobile PTEs at 5 cm below the surface for LR=8 and the case of constant C0 and precipitation

    Metals reach layers lower than 60 cm in trace concentrations

    Adsorption coefficient determinative in breakthrough

    High accumulation of metals at media top layers

  • R E S U LT S – P T E P R I O R I T I Z AT I O N

    12

    PTE Cl- Cr Fe Cu Zn As Cd Pb

    PWCI* 4.19 0.41 1.50 17.80 2.21 0.24 0.41 5.28

    SCI** 1.15 14.78 0.26 0.01 0.003 1.18 0.18 0.10

    TCI*** 2.20 2.46 0.62 0.44 0.08 0.53 0.27 0.73

    PTE contamination indices at the top layer (1 to 5 cm below surface) of the basin after 20 years; * porewater contamination index; ** soil contamination index; *** total contamination index

    Concern-worthy PTEs : Cr, As, and Cl-

    PTE Cl- Cr Fe Cu Zn As Cd PbPWCI* 6.10 4E-6 4.E-22 2.7E-45 4E-20 2E-26 1E-13 1E-68

    SCI** 1.62 13.25 0.24 4.6E-3 1.2E-3 1.08 0.08 4.6E-2

    TCI*** 3.14 7.5E-3 1E-11 4E-24 7E-12 2E-12 1E-7 2E-35

    PTE contamination indices at the groundwater table (i.e., 500 cm below surface) after 20 years; * porewater contamination index; ** soil contamination index; *** total contamination index

    Concern-worthy PTE : Cl-

    Prioritization: Cl- > Cr > As > Pb > Fe > Cu > Cd > ZnOther PTEs based on TCI at top layers

  • R E S U LT S – C H L O R I D E I N T H E M E D I A

    13

    Chloride concentration in the media during 20 years for LR=8, Kd = 1 L/kg, and for the case of variable C0 and precipitation

    Exceedance from screening standard

    Attenuation of variations over depth

    50 100 250 500

    Depth below surface (cm)

    0

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    Cl c

    once

    ntra

    tion

    in th

    e so

    il (m

    g/kg

    )

    published screening standard

  • R E S U LT S – C H R O M I U M A N D A R S E N I C I N T H E M E D I A

    14

    Accumulation at top layers

    Trace amount reaching layers lower than 60 cm

    Underlying water protection

    Chromium concentration in the media after 20 years for LR=8, Kd = 200 L/kg, and for the case of variable C0 and precipitation

    Arsenic concentration in the media after 20 years for LR=8, Kd = 500 L/kg, and for the case of variable C0 and precipitation

  • RESULTS –

    15

    - Decrease in porewater concentration with increase in Kd for LR 8 and relative high Kds (breakthrough has occurred)- Drop in soil concentrations when there is not high load and Kd is relatively high

    Effects of varying LR and Kd on the performance of infiltration basins

    Chloride concentration at 100 cm below the surface after 20 years for the case of variable C0 and precipitation (a) in the porewater (b) in the soil

    (a) (b)

  • RESULTS –

    16

    Effects of varying LR and Kd on the performance of infiltration basins

    Chloride porewater contamination index at 500 cm below the surface after 20 years for the case of variable C0 and precipitation

    Imaginary line dividing PWCI

    Combination of LR=8 and Kd > 6.5 L/kg results in PWCI < 1

    Combination of LR=8 and Kd < 6.5 L/kg results in PWCI > 1

  • SUMMARY

    17

    A contaminant transport simulation model was developed by combining various fields,including hydrology, geology, statistics, chemistry, and computer modeling. Importance of factors such as total incoming load, precipitation, soil background concentration , loading ratio, and

    particularly adsorption coefficient in PTE transport

    Chloride is highly mobile in the soil and readily reaches groundwater.

    Among the suite of select environmentally relevant metals (Cr, As, Pb, Fe, Cu, Cd andZn), Cr and Zn showed the highest and lowest potential of contamination, respectively.

    The breakthrough of high priority metals in the soil is a slow process and majority ofcontaminant loads is intercepted by the top 60 cm of the media within the 20 years ofsimulation.

  • IMPLICATIONS

    18

    operative agencies

    • Timetable for maintenance or soil replacement in the basins

    designers• Pick LR and soil type (Kd) as

    designing factor and assess the impacts

    academia• Impacts of the Kd on the

    accumulation of contaminants at different layers

  • ACKNOWLEDGEMENTS

    19

  • T H A N K S F O R Y O U R A T T E N T I O N

    C O M M E N T S

    20

  • APPENDIXA D SORPTION C O EFFICIENT

    21

    metal paper 1 paper 2 paper 3 paper 4 paper 5 paper 6 paper 7 paper 8 paper 9 paper 10Cr 22 532 140 16700Fe 25000 124000Co 5000 1300Cu 1310 1697 1700 450 483 616 900 797Zn 85 315 1980 10 2170 140 1100 467As 34 5740 4000Cd 16 188 616 73 691 274 630Pb 1215 1398 925 6000 19100 32000

    paper 1

    paper 2

    paper 3

    paper 4

    paper 5

    paper 6

    paper 7

    paper 8

    paper 9

    paper 10

    field samples - loamy sand soil - heavy metal concentration 1000 mg/l - Freundlich isotherm OM of soil : 0.8 % , soil CEC= 2.3 meq/100gr, soil pH = 7field samples - loamy sand soil - heavy metal concentration is high- Freundlich isotherm OM of soil : low , soil CEC: high, soil pH = 7

    field samples - clayey silty soil - heavy metal concentration 1000 mg/l - Freundlich isotherm TOC of soil : 0.3 % , soil CEC= ? cmol/gr, soil pH = 6.5field samples - sandy soil - heavy metal concentration ? mg/l - Freundlich isotherm TOC of soil : 2.4 % , soil CEC= ? cmol/gr, soil pH = 5.7field samples - sandy soil - heavy metal concentration ? mg/l - Freundlich isotherm DOC of soil : 20 mg/l , soil CEC= ? cmol/gr, soil pH = 5uniform soil sampl - heavy metal concentration ? mg/l - Freundlich isotherm DOM of soil : 50 mg/l , soil CEC= ? cmol/gr, soil pH = 7field samples - silty clay soil - heavy metal concentration between 25 to 1000 mg/l - Freundlich isotherm DOC of soil : ? mg/l , soil CEC= ? cmol/gr, soil pH = 6.4

    Kd values in L/kg

    Conditions

    field samples - calcareous soil - heavy metal concentration between 10 to 200 mg/l - Freundlich isotherm OM of soil : 2.5 % , soil CEC= 24 cmol/gr, soil pH = 7.5 field samples - mineral soil - heavy metal concentration between 0.1 to10 meq/l - Freundlich isotherm OC of soil : 16 g/kg , soil CEC= 33.6 cmol/gr, soil pH = 8.3field samples - sandy loam soil - heavy metal concentration between 0 to50 mg/l - Freundlich isotherm TOC of soil : 1.1 % , soil CEC= 13.5 cmol/gr, soil pH = 6

    Kd

    Kd values in L/kg

    metalpaper 1paper 2paper 3paper 4paper 5paper 6paper 7paper 8paper 9paper 10

    Cr22532140167004348.58237.2183613968

    Fe250001240007450070003.5713374682

    Co5000130031502616.2950903902

    Cu131016971700450483616900797994.125512.7080588126

    Zn8531519801021701401100467783.375868.0131561709

    As345740400032582924.4712342576

    Cd1618861673691274630355.4285714286284.4690124559

    Pb121513989256000191003200010106.333333333312777.076452251

    Conditions

    paper 1field samples - calcareous soil - heavy metal concentration between 10 to 200 mg/l - Freundlich isotherm OM of soil : 2.5 % , soil CEC= 24 cmol/gr, soil pH = 7.5

    paper 2field samples - mineral soil - heavy metal concentration between 0.1 to10 meq/l - Freundlich isotherm OC of soil : 16 g/kg , soil CEC= 33.6 cmol/gr, soil pH = 8.3

    paper 3field samples - sandy loam soil - heavy metal concentration between 0 to50 mg/l - Freundlich isotherm TOC of soil : 1.1 % , soil CEC= 13.5 cmol/gr, soil pH = 6

    paper 4field samples - clayey silty soil - heavy metal concentration 1000 mg/l - Freundlich isotherm TOC of soil : 0.3 % , soil CEC= ? cmol/gr, soil pH = 6.5

    paper 5field samples - sandy soil - heavy metal concentration ? mg/l - Freundlich isotherm TOC of soil : 2.4 % , soil CEC= ? cmol/gr, soil pH = 5.7

    paper 6field samples - sandy soil - heavy metal concentration ? mg/l - Freundlich isotherm DOC of soil : 20 mg/l , soil CEC= ? cmol/gr, soil pH = 5

    paper 7uniform soil sampl - heavy metal concentration ? mg/l - Freundlich isotherm DOM of soil : 50 mg/l , soil CEC= ? cmol/gr, soil pH = 7

    paper 8field samples - silty clay soil - heavy metal concentration between 25 to 1000 mg/l - Freundlich isotherm DOC of soil : ? mg/l , soil CEC= ? cmol/gr, soil pH = 6.4

    paper 9field samples - loamy sand soil - heavy metal concentration 1000 mg/l - Freundlich isotherm OM of soil : 0.8 % , soil CEC= 2.3 meq/100gr, soil pH = 7

    paper 10field samples - loamy sand soil - heavy metal concentration is high- Freundlich isotherm OM of soil : low , soil CEC: high, soil pH = 7

    Ln (Kd)

    Kd values in L/kg

    metalpaper 1paper 2paper 3paper 4paper 5paper 6paper 7paper 8paper 9paper 10

    Cr3.09104245346.27664348934.94164242269.72316399846.00812309092.8000221791

    Fe10.126631103911.728036844610.92733397421.1323648587

    Co8.51719319147.17011954347.84365636740.9525249112

    Cu7.17778241627.43661726527.438383536.10924758286.18001665376.42324696356.80239476336.68085467886.78106798170.5305428085

    Zn4.44265125655.75257263887.59085212372.3025850937.68248244654.94164242267.00306545886.14632925775.73277258721.8164085236

    As3.52636052468.65521448938.29404964016.8252082182.8625874817

    Cd2.77258872225.23644196286.42324696354.29045944116.53813982385.61312810646.44571981945.33138926281.3910139953

    Pb7.10249935587.24279792286.82979373758.69951474829.85744361410.37349118188.35092342671.5219881493

    Conditions

    paper 1field samples - calcareous soil - heavy metal concentration between 10 to 200 mg/l - Freundlich isotherm OM of soil : 2.5 % , soil CEC= 24 cmol/gr, soil pH = 7.5

    paper 2field samples - mineral soil - heavy metal concentration between 0.1 to10 meq/l - Freundlich isotherm OC of soil : 16 g/kg , soil CEC= 33.6 cmol/gr, soil pH = 8.3

    paper 3field samples - sandy loam soil - heavy metal concentration between 0 to50 mg/l - Freundlich isotherm TOC of soil : 1.1 % , soil CEC= 13.5 cmol/gr, soil pH = 6

    paper 4field samples - clayey silty soil - heavy metal concentration 1000 mg/l - Freundlich isotherm TOC of soil : 0.3 % , soil CEC= ? cmol/gr, soil pH = 6.5

    paper 5field samples - sandy soil - heavy metal concentration ? mg/l - Freundlich isotherm TOC of soil : 2.4 % , soil CEC= ? cmol/gr, soil pH = 5.7

    paper 6field samples - sandy soil - heavy metal concentration ? mg/l - Freundlich isotherm DOC of soil : 20 mg/l , soil CEC= ? cmol/gr, soil pH = 5

    paper 7uniform soil sampl - heavy metal concentration ? mg/l - Freundlich isotherm DOM of soil : 50 mg/l , soil CEC= ? cmol/gr, soil pH = 7

    paper 8field samples - silty clay soil - heavy metal concentration between 25 to 1000 mg/l - Freundlich isotherm DOC of soil : ? mg/l , soil CEC= ? cmol/gr, soil pH = 6.4

    paper 9field samples - loamy sand soil - heavy metal concentration 1000 mg/l - Freundlich isotherm OM of soil : 0.8 % , soil CEC= 2.3 meq/100gr, soil pH = 7

    paper 10field samples - loamy sand soil - heavy metal concentration is high- Freundlich isotherm OM of soil : low , soil CEC: high, soil pH = 7

    papers list

    1Majid Baghenejad, Fatemeh Javaheri & Ali Akbar Moosavi (2016) Adsorptionisotherms of some heavy metals under conditions of their competitive adsorption onto highlycalcareous soils of southern Iran, Archives of Agronomy and Soil Science, 62:10, 1462-1473, DOI:10.1080/03650340.2016.1147647

    2Modeling competitive metal sorption in a mineral soilMiquel Vidal a,⁎, Maria Josefa Santos b, Taufik Abrão c, Jordi Rodríguez a, Anna Rigol a

    3Adsorption-desorption Study of Heavy Metals on Sandy-loam Soilof Sapele MetropolisChokor, Augustine A.

    4Solid/liquid partition coefficients(Kd) for selected soils andsediments at Forsmark andLaxemar-SimpevarpSteve Sheppard, Jeff Long, Barb SanipelliECOMatters Inc, Canada

    5de Groot, A.C., Peijnenburg, W.J.G.M., van den Hoop, M.A.G.T., Ritsema, R. & van Veen, R.P.M.1998. Heavy metals in Dutch field soils: an experimental and theoretical study on equilibriumpartitioning. National Institute of Public Health and the Environment (RIVM), TheNetherlands.

    6Weng, L.P., Temminghoff, E.J.M., Lofts, S., Tipping, E. & van Riemsdijk, W.H. 2002.Complexation with dissolved organic matter and solubility control of heavy metals in a sandysoil. Environmental Science & Technology, 36, 4804–4810.

    7Partitioning of metals (Cd, Co, Cu, Ni, Pb, Zn) insoils: concepts, methodologies, prediction andapplications – a review F. DEGRYSE, E. SMOLDERS & D. R. PARKER

    8Adsorption Behavior of Heavy Metalson Various SoilsNoppadol Sangiumsak1, Pongsakorn Punrattanasin2

    9http://www.state.nj.us/dep/dsr/publications/sorption-desorption-yr3-part2.pdf

    10Adsorption of heavy metal ions on soils and soils constituents, Heike B. Bradl

    http://www.state.nj.us/dep/dsr/publications/sorption-desorption-yr3-part2.pdf

    Cr - Kds

    11059.5569086995avestd

    11809.7059753258697.70571757172446.5920904303

    5394.5181347778

    11872.1763726824

    9557.3811937561

    5151.9616150005

    6642.5506419575

    8853.2824912869

    12235.6928856224

    12296.4975584619

    5646.7933703281

    12343.4846829726

    12232.8931606091

    8346.6452056421

    10940.5849722805

    5517.2487537152

    7822.6397812081

    11891.6134819074

    10874.0847607667

    12252.0486319241

    9749.9793271476

    4642.6648944534

    11342.9635091655

    12042.0063294785

    9939.3896798506

    10590.1709164664

    10469.8444110938

    7579.3596069872

    9747.8145122001

    5758.6021280002

    10164.3557999473

    4610.714106663

    6629.5750963028

    4728.8238266599

    5148.5956918326

    11131.5019430068

    10071.9550909247

    6960.5176594209

    12175.6865077183

    4632.239886783

    7962.5330951469

    7491.4803285614

    10654.2289429947

    10898.7352263116

    5887.8104494032

    8382.7962735509

    8018.890833904

    9672.3213938417

    10191.6930093918

    10565.0189936273

    6622.1788323491

    9947.3593697999

    9744.6853065878

    5687.9683708593

    5328.7098874491

    8453.6335194497

    12254.1205569475

    7152.3315575166

    9169.4782644718

    6192.0878173874

    10536.850814927

    6449.7741688625

    8516.1787158535

    10106.9476156154

    11687.0646296625

    12250.3929412521

    8856.0338108422

    5490.3798057518

    5578.2673237783

    6469.6517189771

    11273.6716173982

    6443.0778334994

    11055.9419203777

    6354.4683437434

    12003.0473791272

    7231.392703222

    5967.8980065373

    6416.7325650709

    9422.9945175514

    8247.0835962381

    7245.1961483995

    11192.2168285518

    9169.4481176772

    8876.693399691

    11903.6244882918

    6703.0184141174

    10585.7236301842

    10557.1311346107

    7482.3155160716

    9025.7708447549

    4973.3283467495

    4792.8989080587

    8720.7953496194

    10766.6706140858

    12042.1499575028

    5418.5658056477

    9034.0247035077

    8214.9732070062

    4446.5399454295

    7125.4528363513

    Fe - Kds

    112138.619960389avestd

    202878.50044856483116.413204659681372.0759209428

    -83627.3473804039

    134855.211539834

    96814.7052091804

    -17042.8509408893

    44147.0099340692

    98484.9362861678

    325000.56545293

    268370.482693184

    -19996.9067161813

    286955.481386802

    125280.886411352

    70085.9336863332

    124534.555857749

    60151.6439155331

    65809.4522631816

    178784.152761637

    173137.446427268

    173708.530216027

    121507.197497139

    -10028.3969342991

    124709.267096104

    188622.292366029

    108724.309927703

    146932.205934784

    125384.555290779

    53258.0515742666

    95072.0522116914

    19387.392082327

    136690.86698589

    -5799.0040651963

    -324.7493715843

    17832.2003951914

    -131610.406379442

    175191.757442132

    97264.499127915

    21652.3215524174

    170425.791608654

    -45312.2617268062

    67342.6636314782

    57597.8447980074

    96845.611737381

    96401.2190890405

    13955.3170070441

    72396.301942865

    62957.8798163309

    118441.751883155

    151032.501256178

    152153.092425107

    14041.2180629207

    79915.4126547463

    -10492.5290778412

    -3449.0285938116

    74020.5225714862

    181789.595123858

    20620.6372985779

    100497.843213213

    58708.2862024132

    152718.920175685

    -1738.390072536

    76779.1387653222

    113178.864739707

    151546.645904956

    182600.347590987

    80515.4862115729

    -29916.6487207726

    22536.2203795666

    185.4873982935

    239040.399962045

    31405.669773694

    126868.04649582

    61030.017066898

    136705.903309407

    20957.8219035763

    -23663.8358329741

    -25071.3945444411

    108675.317196634

    62083.1055696904

    60775.5556798236

    173856.779384092

    94911.947525831

    88347.4801930329

    185644.606511452

    18184.5100340832

    123266.196992114

    132959.153938855

    57439.0697839139

    89597.6762794685

    -7113.2388288097

    -5860.794252579

    81841.6046644229

    125060.361670466

    255493.621351467

    27815.2713575751

    87613.8407433071

    68725.095608392

    -60818.5077316365

    43770.8015271817

    -51133.9283101923

    Co - Kds

    4556.6958972488avestd

    7947.98435930973472.02756415493041.1785944615

    -2759.8099515058

    5405.6998248081

    3983.9839319057

    -271.298468874

    2015.5953209785

    4046.4067095189

    12512.1423434755

    10395.664503352

    -381.7025735866

    11090.2553634898

    5047.8715119917

    2985.0298448733

    5019.9783498926

    2613.7483080536

    2825.2017513104

    7047.4885368339

    6836.4500173057

    6857.7935528411

    4906.8346536079

    -9.1421070601

    5026.5079618299

    7415.1765825864

    4429.0903707983

    5857.0622415054

    5051.7460054646

    2356.1089983773

    3918.8544764561

    1090.2358660848

    5474.305129345

    148.9261112508

    353.5194684489

    1032.1125404148

    -4553.116196592

    6913.2272976449

    4000.7944116937

    1174.8847452544

    6735.1053422853

    -1327.8320031013

    2882.5035903169

    2518.3032905476

    3985.1390243736

    3968.5304102468

    887.2189188644

    3071.3769413136

    2718.6278315994

    4792.2674943186

    6010.3056019736

    6052.1862820167

    890.4293623663

    3352.3942102914

    -26.4884598963

    236.7534773368

    3132.0801365134

    7159.8131503506

    1136.3268489059

    4121.6365643542

    2559.8046359571

    6073.3333797616

    300.6864321605

    3235.1799336377

    4595.5737324282

    6029.5211090455

    7190.1140001266

    3374.821201805

    -752.4404060128

    1207.9193478791

    372.5889234812

    9299.4896944116

    1539.4038201234

    5107.1896161477

    2646.5763955228

    5474.867092951

    1148.9286977772

    -518.7494193404

    -571.3551489511

    4427.2593293345

    2685.9342486502

    2637.0662224723

    6863.3341783133

    3912.8707659755

    3667.5320879265

    7303.8893334966

    1045.2796683305

    4972.5750387614

    5334.8370659968

    2512.3692748705

    3714.256588118

    99.8082463572

    146.6167810158

    3424.3832045791

    5039.629678243

    9914.4080694578

    1405.2172126772

    3640.1132398106

    2934.1702399496

    -1907.358368831

    2001.5350067843

    -1545.4094410259

  • APPENDIXA D SORPTION C O EFFICIENT

    22

    1Majid Baghenejad, Fatemeh Javaheri & Ali Akbar Moosavi (2016) Adsorptionisotherms of some heavy metals under conditions of their competitive adsorption onto highlycalcareous soils of southern Iran, Archives of Agronomy and Soil Science, 62:10, 1462-1473, DOI:10.1080/03650340.2016.1147647

    2 Modeling competitive metal sorption in a mineral soilMiquel Vidal a,⁎, Maria Josefa Santos b, Taufik Abrão c, Jordi Rodríguez a, Anna Rigol a

    3Adsorption-desorption Study of Heavy Metals on Sandy-loam Soilof Sapele MetropolisChokor, Augustine A.

    4

    Solid/liquid partition coefficients(Kd) for selected soils andsediments at Forsmark andLaxemar-SimpevarpSteve Sheppard, Jeff Long, Barb SanipelliECOMatters Inc, Canada

    5de Groot, A.C., Peijnenburg, W.J.G.M., van den Hoop, M.A.G.T., Ritsema, R. & van Veen, R.P.M.1998. Heavy metals in Dutch field soils: an experimental and theoretical study on equilibriumpartitioning. National Institute of Public Health and the Environment (RIVM), TheNetherlands.

    6Weng, L.P., Temminghoff, E.J.M., Lofts, S., Tipping, E. & van Riemsdijk, W.H. 2002.Complexation with dissolved organic matter and solubility control of heavy metals in a sandysoil. Environmental Science & Technology, 36, 4804–4810.

    7Partitioning of metals (Cd, Co, Cu, Ni, Pb, Zn) insoils: concepts, methodologies, prediction andapplications – a review F. DEGRYSE, E. SMOLDERS & D. R. PARKER

    8Adsorption Behavior of Heavy Metalson Various SoilsNoppadol Sangiumsak1, Pongsakorn Punrattanasin2

    9 http://www.state.nj.us/dep/dsr/publications/sorption-desorption-yr3-part2.pdf

    10 Adsorption of heavy metal ions on soils and soils constituents, Heike B. Bradl

    http://www.state.nj.us/dep/dsr/publications/sorption-desorption-yr3-part2.pdf

  • APPENDIXP E NNSYLVANIA B A CKGROUND A ND S TA NDARD VA L UES

    23

    PTE porewater standard (ug/L)* soil screening (mg/kg)**

    Cl-

    CrFeCuZn

    250,00074

    3003

    120

    1,0004

    150,0008,10066,000

    As 10 12CdPb

    12.5

    1.2500

    PTE Cl- Cr Fe Cu Zn As Cd Pb

    Mean C0 (ug/L) 1.61x106 33.89 1,410 67.53 239.89 2.34 0.36 14.56

    Std C0 (ug/L) 2.99x106 52.36 1,457 33.10 233.05 3.44 0.66 13.27

    Soil background concentration

    (mg/kg)100 53 36,000 37 81 13 0.10 23

    Slide Number 1IntroductionLoading Ratio (LR)Adsorption coefficient ObjectivesmethodmethodmethodmethodResults-PTE transportResults-PTE transportResults – PTE prioritization Results – chloride in the mediaResults – chromium and arsenic in the mediaResults –�Results –�summaryimplicationsAcknowledgementsThanks for your attention���CommentsAppendix�Adsorption coefficient Appendix�Adsorption coefficient Appendix�Pennsylvania background and standard values