Real-time control of irrigation by assimilating measured soil moisture contents into CLM: a case study in Spain.
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1 Mitglied der Helmholtz-Gemeinschaft Real-time control of irrigation by assimilating measured soil moisture contents into CLM: a case study in Spain. H.J. Hendricks Franssen 1, X. Han 1, M.A. Jimenez-Bello 2, F. Martinez- Alzamora 2, L. Bonet 2, A. Chanzy 3 and H. Vereecken September Agrosphere Institute, IBG-3, Forschungszentrum Jülich 2 Technical University of Valencia, Spain 3 INRA, France
2 Mitglied in der Helmholtz-Gemeinschaft Introduction Large regions with agricultural production are affected by water stress. Irrigation results in non-sustainable groundwater depletion in many regions. From: Wada (2012)
3 Introduction Our approach to optimize irrigation has five components: Soil moisture data from in situ probes. Ensemble meteorological forecasts. Land surface model to predict soil moisture evolution. Data assimilation to update model predictions with data. Optimization of needed irrigation. Operational application and test: Picassent area, Spain. Folie 3
4 In situ soil moisture data Soil capacitance sensors Cosmic ray probe Folie 4
5 Land surface model CLM Folie 5
6 Data assimilation framework CLM4.5 in combination with LETKF (Xujun Han et al.): Multivariate (brightness temp, land surface temp, neutron counts, latent heat flux, and others). Parameter estimation possible. Bias estimation possible. Current development (Kurtz et al.): EnKF with TerrSysMP. Massive parallel computing. Good scaling for 8192 proc. See poster! Folie 6
7 AGADAPT: Overview approach RADIO - GSM G P R S Real-time Measurement Irrigation time setting system (SCADA) Irrigation Time Estimation Real-time Weather Forecast Model and Assimilation System Folie 7
8 Study Area: Picassent - Spain Crop type: Citrus - Picassent Folie 8
9 Real-world Experiment 2013 Real-time, operational scheduling of irrigation for the year Three fields traditional FAO-based irrigation, three fields CLM-based irrigation. Each field equipped with one capacitance probe (four depths), used for DA four times per day. Soil moisture measured at 10cm and 30cm assimilated. Ensemble weather forecast (51 members) used for next days (Meteo France). Operational approach: automatic data delivery, automatic model runs/optimization, automatic sending of optimization results. Water board in Spain implements optimized amounts, but includes logistic/hydraulic constraints. Folie 9
10 Operational irrigation optimization Folie 10
11 Real-world Experiment 2013 Predicted soil moisture contents for next 1-4 days at sensors have errors of cm 3 /cm 3. AGADAPT CLM-fields: ca. 30% less irrigation. Folie 11
12 Evaluation of irrigation strategy Soil moisture data, also at 50cm and 70cm depth. Stem water pot meas, clear sky noons, trees in total, 9 campaigns Jul-Sep. Production evaluated at end of season. Folie 12
13 Evaluation: Soil moisture 50cm depth Folie 13
14 Evaluation with stem water potential data Folie 14
15 Evaluation: production data Measurement at end of season for only three out of six plots. Folie 15
16 Application for smartphone, tablet or PC Application at parcel with real-time information (e.g., irrigation amount) Folie 16
17 Conclusions / Limitations / Outlook Potential of optimization of irrigation scheduling with data assimilation shown. Operational framework was developed and shown to work. Significant water saving possible. Experimental data from 2013 not conclusive, further tests needed/ongoing. Outlook: Cosmic ray probe: large scale soil moisture. Potential for additional improvement. Web application will be further developed. Folie 17
18 Mitglied in der Helmholtz-Gemeinschaft Thanks for your attention!
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