2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA. Soil structure as the main contributor in understanding urban soil functions. 4.
Aggregation in Green Infrastructure Technosols influences carbon, microbial, and hydraulic dynamics Maha Deeb, Peter M. Groffman, Matthew Amato, Ali al-Sarraji, George Lozefski, Zhongqi Cheng, Richard K. Shaw, Daniel Giménez
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
1
Urban soils: physical, chemical and biological stresses.
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
2
Urban soils: human effect
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
3
Soil structure as the main contributor in understanding urban soil functions Soil structure is the shape, size and spatial arrangement of primary soil particles and aggregates. Soil structure “the combination of different types of pores” (Pagliai and Vignozzi, 2002 ).
Solid phase: • Aggregates determine macroporosity and microporosity as well as the number of pores in the soil. •
Macroaggregation provides a physical support for plants growth.
•
Aggregates distribution affects the release of greenhouse gases.
•
Stable microaggregates provide long-term stabilization of carbon storage.
•
The surface of the aggregates has higher microbial activity (hot spots) compared to the overall soil.
•
Soil aggregation is a sensitive indicator of anthropogenic effects.
Pores phase: • Biomass production. • Storage and water filtering and recycling of nutrients. • Habitat for biological activity.
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
4
What is Green infrastructure or constructed Technosols for stormwater management? Green infrastructure (GI) refers to environmental design features or engineered systems in an interconnected natural and urban space that provide multifunctional ecosystem services.
Infiltration
Evapotranspiration
+
Technosols are engineered soils made from a combination of urban waste materials (e.g., sediments) derived from human activity, to provide a variety of ecosystem services in urban environments.
Water storage
2018-2019 International Soils Meeting |1January 6-9, 2019 | San Diego, CA
Reduce waste water inputs to sewers
5
Research questions 1.
How will aggregates form? What about their distribution? Stability? ..
2.
How will the size distribution of aggregates affect the bioavailability of heavy metals?
3.
What effects will these conditions have on carbon storage?
4.
How will microbial activity be affected?
5. Could we predict microbial hotspots based on pore size distribution?
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
Soil Fertility
Chemical
Biological
Physical
6
Collecting Samples Design effect ID
Latitude
Longitude
Design Area (m2)
Impervious contributing area (m²)
42 Ridgewood
40°40'56.5"N 73°53'14.7"W
SSIS
19
512
595 Ridgewood
40°41'12.6"N 73°52'02.5"W
ETP
9.3
411
Eastern parkway
40°40'22.6"N 73°54'42.8"W
SSIS
19
1847
Blake Ave
40°39'49.9"N 73°55'16.1"W
ETP
9.3
202
Union ETP
40°39'49.9"N 73°55'16.1"W
ETP
9.3
156
Union SSIS
40°39'49.9"N 73°55'16.1"W
SSIS
19
207
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
7
Collecting Samples
Bioretention swales constructed by DEP: Summer (left) and Fall (right) 2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
8
Collecting Samples
24cm
10 cm
A block of soil (24 cm by 10 cm) was carefully obtained from every site to avoid altering soil structure. 2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
9
Macroaggregation size distribution
Soil was sieved to determine the size distribution of soil macroaggregates
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
10
Structural stability Aggregates dried in oven at 40 °C
Structural stability of large macroaggregates by Le Biossoner (1996) 2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
11
Determining SOC and heavy metals concentration for each aggregate size
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
12
Determining water retention curves, hydraulic conductivity and infiltration
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
13
Macroaggregates size distribution
Weight distribution (%)
100
100 < 2 mm 2-3 mm 3-5 mm > 5 mm
80
80
60
60
40
40
20
20
0
0 Inlet
Center
Outlet
ETP
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
SSIS
14
Structural stability
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
15
Effect of location on Carbon / Nitrogen concentration 30
1.2
N distribution (%)
SOC distribution (%)
25
1.4
< 2 mm 2-3 mm 3-5 mm > 5 mm Total soil
20
15
10
5
1.0 0.8 0.6 0.4 0.2
0
0.0 Inlet
Center
Outlet
Inlet
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
Center
Outlet
16
Effect of GI design on Carbon / Nitrogen concentration 30 < 2 mm 2-3 mm 3-5 mm > 5 mm Total soil
1.2
N distribution (%)
SOC distribution (%)
25
1.4
20
15
10
5
1.0 0.8 0.6 0.4 0.2
0
0.0 ETP
SSIS
ETP
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
SSIS
17
Effect of location on Carbon / Nitrogen concentration 4
3
N distribution (%)
SOC distribution (%)
30
< 0.05 mm 0.05 - 0.15 mm 0.15 - 0.25 mm 0.25 - 0.5 mm 0.5 - 1 mm 1 - 2 mm > 2 mm
20
10
2
1
0
0 Inlet
Center
Outlet
Inlet
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
Center
Outlet
18
Effect of GI design on Carbon / Nitrogen concentration 4
3
N distribution (%)
SOC distribution (%)
30
< 0.05 mm 0.05 - 0.15 mm 0.15 - 0.25 mm 0.25 - 0.5 mm 0.5 - 1 mm 1 - 2 mm > 2 mm
20
10
2
1
0
0 ETP
SSIS
ETP
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
SSIS
19
Effect of GI design, location, and aggregates size on N/C cycle
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
Effect of GI design, location, and aggregates size on N/C cycle
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
Effect of location on infiltration and hydraulic conductivity
22
Effect of location and Type on water retention curves Variables (axes F1 and F2: 50.58 %)
0.5
Ksat 0.25
qr
s1
0
hm2 BD
-0.25
w s2
-0.5
-0.75
-10cm qs - 1000cm - 10000cm - 3000cm - 30000cm
F2 (19.02 %)
0.75
F2 (19.02 %)
Categories (axes F1 and F2: 50.58 %)
-300cm -100cm Infiltration at - 3cm -30cm Infiltration at -1cm
1
SSIS
0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 -1
ETP
Center
Outlet -1
hm1
-1 -1
-0.75
-0.5
-0.25
0
0.25
0.5
0.75
Inlet
-0.5
0 F1 (31.56 %)
1
F1 (31.56 %) 2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
Categories
0.5
1
19.47%
Eigenvalues
Minagr> 3-5 mm Nagr 0.25-0.5 mm NX.2mmN fra5 mm Res X1mmN X0.5mmN NH4 fra5 mm NH42 Nagr 0.5-1 mmX0.15mmN sigma X2mmN s Resagr> 3-5 mm Nagr 1-2 mmsigma2 s1 Min5 N agr 3-5NIT3 mm NitX0.25mmN NH4NH43 agr> Min3 3-5Res3 mm agr 2-5 mm Nagr 0.15-0.25 mm hm2 hm2 BD BD MBCagr 2-5 mm MBC3 X3.5mm Agrsize 3-5DEA2 mm DEA3 Res2 DEA5 NIT5 DEAagr>5 mm DEA agr>2 mm salt Salt X3.5mmC MBN3 MBN MBN2 NO fra5 NO32 mm θ X1mmC thrr NO3 agrX0.25mmC MBN5 3-5 mmX.5mmC MBC agr>5 mm X.5mmNθths NO35 X2.3mmN s CagrX2.3mmC N 3-5 mm agr 2-3 mm Agrsize>5 mm
(a) ACP, GI parameters
28.26% Ksat Infiltration - 300 cmInfiltration3cm X300cm X10cm - 10 cm Ksat X100cm - 100 cm X30cm - 30 cm
d=5
-3 cm
ETP
X10000cm -X30000cm 30000 X3000cm
cm - 3000 cm X1000cm - 1000 cm
SSIS
(c) GI type. R²=0.349, p=0.005 2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
24
19.47%
Eigenvalues
Minagr> 3-5 mm Nagr 0.25-0.5 mm NX.2mmN fra5 mm Res X1mmN X0.5mmN NH4 fra5 mm NH42 Nagr 0.5-1 mmX0.15mmN sigma X2mmN s Resagr> 3-5 mm Nagr 1-2 mmsigma2 s1 Min5 N agr 3-5NIT3 mm NitX0.25mmN NH4NH43 agr> Min3 3-5Res3 mm agr 2-5 mm Nagr 0.15-0.25 mm hm2 hm2 BD BD MBCagr 2-5 mm MBC3 X3.5mm Agrsize 3-5DEA2 mm DEA3 Res2 DEA5 NIT5 DEAagr>5 mm DEA agr>2 mm salt Salt X3.5mmC MBN3 MBN MBN2 NO fra5 NO32 mm θ X1mmC thrr NO3 agrX0.25mmC MBN5 3-5 mmX.5mmC MBC agr>5 mm X.5mmNθths NO35 X2.3mmN s CagrX2.3mmC N 3-5 mm agr 2-3 mm Agrsize>5 mm
(a) ACP, GI parameters
28.26% Ksat Infiltration - 300 cmInfiltration3cm X300cm X10cm - 10 cm Ksat X100cm - 100 cm X30cm - 30 cm
d=5
-3 cm
ETP
X10000cm -X30000cm 30000 X3000cm
cm - 3000 cm X1000cm - 1000 cm
SSIS
(c) GI type. R²=0.349, p=0.005 2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
25
19.47%
Eigenvalues
Minagr> 3-5 mm Nagr 0.25-0.5 mm NX.2mmN fra5 mm Res X1mmN X0.5mmN NH4 fra5 mm NH42 Nagr 0.5-1 mmX0.15mmN sigma X2mmN s Resagr> 3-5 mm Nagr 1-2 mmsigma2 s1 Min5 N agr 3-5NIT3 mm NitX0.25mmN NH4NH43 agr> Min3 3-5Res3 mm agr 2-5 mm Nagr 0.15-0.25 mm hm2 hm2 BD BD MBCagr 2-5 mm MBC3 X3.5mm Agrsize 3-5DEA2 mm DEA3 Res2 DEA5 NIT5 DEAagr>5 mm DEA agr>2 mm salt Salt X3.5mmC MBN3 MBN MBN2 NO fra5 NO32 mm θ X1mmC thrr NO3 agrX0.25mmC MBN5 3-5 mmX.5mmC MBC agr>5 mm X.5mmNθths NO35 X2.3mmN s CagrX2.3mmC N 3-5 mm agr 2-3 mm Agrsize>5 mm
(a) ACP, GI parameters
28.26% Ksat Infiltration - 300 cmInfiltration3cm X300cm X10cm - 10 cm Ksat X100cm - 100 cm X30cm - 30 cm
d=5
-3 cm
ETP
X10000cm -X30000cm 30000 X3000cm
cm - 3000 cm X1000cm - 1000 cm
SSIS
(c) GI type. R²=0.349, p=0.005 2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA
26
19.47%
Eigenvalues
Summary ACP results 1.
Infiltration and hydraulic conductivity are
positively
correlated
to
macroporosity. 2.
Nitrogen - carbon microbial biomass
Minagr> 3-5 mm Nagr 0.25-0.5 mm NX.2mmN fra5 mm Res X1mmN X0.5mmN NH4 fra5 Nagr 0.5-1 mmX0.15mmN mm NH42 sigma X2mmN s N agr 1-2 mm Resagr> 3-5 mm sigma2 s N 1 agr 3-5NIT3 mm NitX0.25mmN Res3 NH43 NH4 agr 2-5 mm agr> Min3 3-5 mm Nagr 0.15-0.25 mm hm2 hm2 BD BD
d=5
28.26% MBCagr 2-5 mm MBC3 X3.5mm Agrsize 3-5DEA2 mm DEA3 Res2 DEA5 NIT5 DEAagr>5 mm DEA agr>2 mm salt Salt X3.5mmC MBN3 MBN MBN2 NO fra5 NO32 mm θ X1mmC thrr NO3 agrX0.25mmC MBN5 3-5 mmX.5mmC MBC agr>5 mm X.5mmNθths NO35 X2.3mmN X2.3mmC s Cagr 3-5 mm Nagr 2-3 mm Agrsize>5 mm
Ksat Infiltration -3 cm - 300 cmInfiltration3cm X300cm X10cm - 10 cm Ksat X100cm
- 100 cm
X30cm - 30 cm
ETP
X10000cm -X30000cm 30000 X3000cm
cm -X1000cm 3000 cm - 1000 cm
SSIS
and DEA are positively correlated to
SOC in micro & macro-aggregation R2 >
(c) GI type. R²=0.349, p=0.005
(a) ACP, GI parameters
d=5
d=5
0.7. 3.
Mineralisation and NH4 are positively correlated to nitrogen in macro and micro aggregates R2 > 0.9.
42Ridgewood 42 Ridgewood Inlet
4.
Saturated water content is positively
Outlet Center
microporosity.
UnionETP Union ETP Union SSIS UnionSSIS
EasternPkwy Eastern parkway
correlated to SOC in the aggregates and (b) GI Stormwater input. p=0.975
Blake BlakeETP 597 Ridgewood 597Ridgewood
(d) GI ID. p=0.085
Thank you for your attention Acknowledgements Landry Collet: Photography Lisa Martel
Denise Schmidt Beien Lin
Kathy Mania
2018-2019 International Soils Meeting | January 6-9, 2019 | San Diego, CA