Jorge Enoch Furquim Werneck Lima Euzebio …Jorge Enoch Furquim Werneck Lima Euzebio Medrado da...
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Jorge Enoch Furquim Werneck Lima Euzebio Medrado da Silva Michael Strauch Carsten Lorz Hochschule Weihenstephan- Triesdorf
Transcript of Jorge Enoch Furquim Werneck Lima Euzebio …Jorge Enoch Furquim Werneck Lima Euzebio Medrado da...
Jorge Enoch Furquim Werneck Lima
Euzebio Medrado da Silva
Michael Strauch
Carsten Lorz
Hochschule Weihenstephan- Triesdorf
SWAT is a physically-based hydrological model
spatially distributed parameters
Soil parameters (input data + calibration)
lack of profound data in tropics (e.g. soil
hydraulic properties)
pedotransfer functions as work-around,
but hydrological behavior of tropical soils is
different (e.g. pseudosand particles)
This study aims to present a reference soil
database for applying SWAT in catchments of the
Brazilian Savanna, by providing initial parameter
values and their ranges of variation.
Upper Jardim Experimental River Basin (~105 km²)
The Cerrado Biome (Brazilian savanna region)
Cerrado s.s.
Mata de galeria
Campo Large scale cropping (soybean, corn)
Upper Jardim Experimental River Basin (data collection)
Red Latosols – 22 points
Red-Yellow Latosols – 19
Cambisols – 10
Gleysols – 2
Plinthosols – 2
Yellow Latosol – 1
Quartzarenic Neosols - 12 (DF)
Core and disturbed samples
15 and 60 cm
Water table level - Ks
Upper Jardim Experimental River Basin (data collection)
Soil information Method Reference
Soil texture Sieving and pipetting (3x) Embrapa (1997)
Bulk density Volumetric ring (3x) Embrapa (1997)
Saturated hydraulic conductivity
Constant head permeameter (6x); Slug test
Klute (1965) Hvorslev (1951)
Soil water retention curve (SWRC)
Centrifuge (3x)
Reatto et al. (2008)
Available water content SWRC: 10 to 1,500 kPa Reichardt (1988)
Organic matter Oxidation (3x) Embrapa (1997)
Soil erodibility Regional PTF Lima et al. (2007)
Conceptual model developed for representing Cerrado soils vertically in SWAT
Average values of the parameters per layer and soil class.
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z1 SOL_BD1 SOL_AWC1 SOL_K1 SOL_CBN1 CLAY1 SILT1 SAND1 ROCK1 USLE_K1
Red Latosols LV 3 A 300.00 300.00 0.90 0.12 612.20 1.67 53.93 28.37 12.94 0.00 0.018
Red-Yellow Latosols LVA 3 A 300.00 300.00 0.94 0.11 1112.85 1.69 57.36 24.61 18.03 0.00 0.019
Yellow Latosol LA 3 A 300.00 300.00 0.86 0.15 2602.59 1.65 58.81 21.75 19.44 0.00 0.017
Quartzarenic Neosols RQ 3 A 300.00 300.00 1.30 0.08 281.26 0.60 30.10 9.65 60.25 0.00 0.031
Cambisols CX 2 C 300.00 300.00 0.99 0.11 874.33 1.58 49.84 32.95 17.20 0.00 0.023
Gleysols GX 2 D 300.00 300.00 0.87 0.13 494.44 2.56 51.59 28.54 19.86 0.00 0.021
Plinthosols FX 2 D 300.00 300.00 1.09 0.14 553.78 1.14 37.97 21.91 40.13 0.00 0.030
Rock Outcrop AFLR 1 D 300.00 300.00 2.62 0.01 0.01 0.01 0.00 0.00 0.01 99.99 0.001
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z2 SOL_BD2 SOL_AWC2 SOL_K2 SOL_CBN2 CLAY2 SILT2 SAND2 ROCK2 USLE_K2
Red Latosols LV 3 A 1000.00 1000.00 0.94 0.14 461.07 1.01 66.28 22.93 10.79 0.00 0.015
Red-Yellow Latosols LVA 3 A 1000.00 1000.00 0.96 0.13 401.26 0.95 64.37 20.54 15.09 0.00 0.017
Yellow Latosol LA 3 A 1000.00 1000.00 0.94 0.12 505.50 0.87 62.28 19.89 17.83 0.00 0.015
Quartzarenic Neosols RQ 3 A 1000.00 1000.00 1.38 0.08 102.85 0.40 34.35 9.58 42.90 0.00 0.030
Cambisols CX 2 C 1000.00 1000.00 1.00 0.16 262.52 0.72 49.16 34.31 16.53 0.00 0.023
Gleysols GX 2 D 1000.00 1000.00 0.87 0.13 494.44 2.56 51.59 28.54 19.86 0.00 0.021
Plinthosols FX 2 D 1000.00 1000.00 1.09 0.14 553.78 1.14 37.97 21.91 40.13 0.00 0.030
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z3 SOL_BD3 SOL_AWC3 SOL_K3 SOL_CBN3 CLAY3 SILT3 SAND3 ROCK3 USLE_K3
Red Latosols LV 3 A 2000.00 3500.00 0.94 0.14 142.32 1.01 66.28 22.93 10.79 0.00 0.015
Red-Yellow Latosols LVA 3 A 2000.00 3500.00 0.96 0.13 230.05 0.95 64.37 20.54 15.09 0.00 0.017
Yellow Latosol LA 3 A 2000.00 3500.00 0.94 0.12 186.92 0.87 62.28 19.89 17.83 0.00 0.015
Quartzarenic Neosols RQ 3 A 2000.00 3500.00 1.38 0.08 102.85 0.40 34.35 9.58 42.90 0.00 0.030
Minimum values of the parameters per layer and soil class.
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z1 SOL_BD1 SOL_AWC1 SOL_K1 SOL_CBN1 CLAY1 SILT1 SAND1 ROCK1 USLE_K1
Red Latosols LV 3 A 300.00 300.00 0.83 0.10 34.21 0.96 40.97 18.57 5.92 0.00 0.014
Red-Yellow Latosols LVA 3 A 300.00 300.00 0.83 0.07 342.36 0.71 40.70 9.22 4.98 0.00 0.014
Yellow Latosol LA 3 A 300.00 300.00 0.83 0.13 2602.59 1.65 58.81 21.75 19.44 0.00 0.017
Quartzarenic Neosols RQ 3 A 300.00 300.00 1.14 0.06 75.78 0.40 17.65 3.44 39.44 0.00 0.027
Cambisols CX 2 C 300.00 300.00 0.88 0.09 342.32 0.92 35.12 23.83 10.40 0.00 0.015
Gleysols GX 2 D 300.00 300.00 0.87 0.13 494.44 2.56 51.59 28.54 19.86 0.00 0.021
Plinthosols FX 2 D 300.00 300.00 1.00 0.14 8.15 0.88 35.99 15.98 32.23 0.00 0.029
Rock Outcrop AFLR 1 D 300.00 300.00 2.62 0.01 0.01 0.01 0.00 0.00 0.01 99.99 0.001
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z2 SOL_BD2 SOL_AWC2 SOL_K2 SOL_CBN2 CLAY2 SILT2 SAND2 ROCK2 USLE_K2
Red Latosols LV 3 A 1000.00 1000.00 0.88 0.08 177.48 0.65 57.11 13.86 4.93 0.00 0.014
Red-Yellow Latosols LVA 3 A 1000.00 1000.00 0.86 0.09 49.34 0.65 47.31 7.61 3.84 0.00 0.014
Yellow Latosol LA 3 A 1000.00 1000.00 0.94 0.12 505.50 0.87 62.28 19.89 17.83 0.00 0.015
Quartzarenic Neosols RQ 3 A 1000.00 1000.00 1.24 0.07 13.05 0.31 18.63 2.79 34.02 0.00 0.026
Cambisols CX 2 C 1000.00 1000.00 0.84 0.13 123.03 0.15 35.20 22.67 11.10 0.00 0.015
Gleysols GX 2 D 1000.00 1000.00 0.87 0.13 494.44 2.56 51.59 28.54 19.86 0.00 0.021
Plinthosols FX 2 D 1000.00 1000.00 1.00 0.14 8.15 0.88 35.99 15.98 32.23 0.00 0.029
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z3 SOL_BD3 SOL_AWC3 SOL_K3 SOL_CBN3 CLAY3 SILT3 SAND3 ROCK3 USLE_K3
Red Latosols LV 3 A 2000.00 3500.00 0.88 0.08 0.34 0.65 57.11 13.86 4.93 0.00 0.014
Red-Yellow Latosols LVA 3 A 2000.00 3500.00 0.86 0.09 0.60 0.65 47.31 7.61 3.84 0.00 0.014
Yellow Latosol LA 3 A 2000.00 3500.00 0.94 0.12 186.92 0.87 62.28 19.89 17.83 0.00 0.015
Quartzarenic Neosols RQ 3 A 2000.00 3500.00 1.24 0.07 13.05 0.31 18.63 2.79 34.02 0.00 0.026
Maximum values of the parameters per layer and soil class.
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z1 SOL_BD1 SOL_AWC1 SOL_K1 SOL_CBN1 CLAY1 SILT1 SAND1 ROCK1 USLE_K1
Red Latosols LV 3 A 300.00 300.00 1.19 0.15 1310.33 2.65 70.79 37.80 37.78 0.00 0.028
Red-Yellow Latosols LVA 3 A 300.00 300.00 1.16 0.16 2345.27 2.50 78.26 38.15 47.19 0.00 0.029
Yellow Latosol LA 3 A 300.00 300.00 0.86 0.15 2602.59 1.65 58.81 21.75 19.44 0.00 0.017
Quartzarenic Neosols RQ 3 A 300.00 300.00 1.40 0.09 763.70 0.96 42.78 23.03 78.90 0.00 0.033
Cambisols CX 2 C 300.00 300.00 1.14 0.13 1436.40 1.77 64.61 51.72 29.66 0.00 0.031
Gleysols GX 2 D 300.00 300.00 0.87 0.13 494.44 2.56 51.59 28.54 19.86 0.00 0.021
Plinthosols FX 2 D 300.00 300.00 1.18 0.15 1099.40 1.41 39.95 27.83 48.03 0.00 0.031
Rock Outcrop AFLR 1 D 300.00 300.00 2.62 0.01 0.01 0.01 0.00 0.00 0.01 99.99 0.001
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z2 SOL_BD2 SOL_AWC2 SOL_K2 SOL_CBN2 CLAY2 SILT2 SAND2 ROCK2 USLE_K2
Red Latosols LV 3 A 1000.00 1000.00 1.04 0.19 1324.30 1.45 75.54 34.21 25.83 0.00 0.018
Red-Yellow Latosols LVA 3 A 1000.00 1000.00 1.14 0.18 839.63 1.31 85.16 32.58 43.70 0.00 0.025
Yellow Latosol LA 3 A 1000.00 1000.00 0.94 0.12 505.50 0.87 62.28 19.89 17.83 0.00 0.015
Quartzarenic Neosols RQ 3 A 1000.00 1000.00 1.50 0.09 235.70 0.52 44.51 23.56 77.86 0.00 0.032
Cambisols CX 2 C 1000.00 1000.00 1.19 0.20 430.54 1.16 64.62 53.69 30.96 0.00 0.031
Gleysols GX 2 D 1000.00 1000.00 0.87 0.13 494.44 2.56 51.59 28.54 19.86 0.00 0.021
Plinthosols FX 2 D 1000.00 1000.00 1.18 0.15 1099.40 1.41 39.95 27.83 48.03 0.00 0.031
SNAM NLAYERS HYDGRP SOL_ZMX SOL_Z3 SOL_BD3 SOL_AWC3 SOL_K3 SOL_CBN3 CLAY3 SILT3 SAND3 ROCK3 USLE_K3
Red Latosols LV 3 A 1000.00 3500.00 1.04 0.19 1000.00 1.45 75.54 34.21 25.83 0.00 0.018
Red-Yellow Latosols LVA 3 A 1000.00 3500.00 1.14 0.18 1000.00 1.31 85.16 32.58 43.70 0.00 0.025
Yellow Latosol LA 3 A 1000.00 3500.00 0.94 0.12 186.92 0.87 62.28 19.89 17.83 0.00 0.015
Quartzarenic Neosols RQ 3 A 1000.00 3500.00 1.50 0.09 235.70 0.52 44.51 23.56 77.86 0.00 0.032
The study provides reference values for defining layer-
specific soil parameters in the Cerrado biome
We also present physically meaningful parameter ranges,
which can be used for model calibration.
increasing applicability and reliability of the SWAT model
when used in the Cerrado biome
might be useful as blueprint for further studies in other
regions
might contribute to global SWAT soil database
Jorge Enoch Furquim Werneck Lima
Euzebio Medrado da Silva
Michael Strauch
Carsten Lorz
Hochschule Weihenstephan- Triesdorf
