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  5. Estimating water balance components in irrigated agriculture using a combined approach of soil moisture and energy balance monitoring, and numerical modelling
 
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2021
Zweitveröffentlichung
Artikel
Verlagsversion

Estimating water balance components in irrigated agriculture using a combined approach of soil moisture and energy balance monitoring, and numerical modelling

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TUDa URI
tuda/7829
URN
urn:nbn:de:tuda-tuprints-201453
DOI
10.26083/tuprints-00020145
Autor:innen
Schulz, Stephan ORCID 0000-0001-7060-7690
Becker, Rike ORCID 0000-0002-9040-1355
Richard‐Cerda, Juan Carlos ORCID 0000-0001-9020-2973
Usman, Muhammad
Beek, Tim aus der
Merz, Ralf
Schüth, Christoph
Kurzbeschreibung (Abstract)

Information on water balance components such as evapotranspiration and groundwater recharge are crucial for water management. Due to differences in physical conditions, but also due to limited budgets, there is not one universal best practice, but a wide range of different methods with specific advantages and disadvantages. In this study, we propose an approach to quantify actual evapotranspiration, groundwater recharge and water inflow, i.e. precipitation and irrigation, that considers the specific conditions of irrigated agriculture in warm, arid environments. This approach does not require direct measurements of precipitation or irrigation quantities and is therefore suitable for sites with an uncertain data basis. For this purpose, we combine soil moisture and energy balance monitoring, remote sensing data analysis and numerical modelling using Hydrus. Energy balance data and routine weather data serve to estimate ET0. Surface reflectance data from satellite images (Sentinel‐2) are used to derive leaf area indices, which help to partition ET0 into energy limited evaporation and transpiration. Subsequently, first approximations of water inflow are derived based on observed soil moisture changes. These inflow estimates are used in a series of forward simulations that produce initial estimates of drainage and ETact, which in turn help improve the estimate of water inflow. Finally, the improved inflow estimates are incorporated into the model and then a parameter optimization is performed using the observed soil moisture as the reference figure. Forward simulations with calibrated soil parameters result in final estimates for ETact and groundwater recharge. The presented method is applied to an agricultural test site with a crop rotation of cotton and wheat in Punjab, Pakistan. The final model results, with an RMSE of 2.2% in volumetric water content, suggest a cumulative ETact and groundwater recharge of 769 and 297 mm over a period of 281 days, respectively. The total estimated water inflow accounts for 946 mm, of which 77% originates from irrigation.

Freie Schlagworte

actual evapotranspira...

ground heat flux

groundwater recharge

Hydrus

irrigation

net radiation

Sentinel‐2

soil moisture

Sprache
Englisch
Fachbereich/-gebiet
11 Fachbereich Material- und Geowissenschaften > Geowissenschaften > Fachgebiet Hydrogeologie
DDC
500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Titel der Zeitschrift / Schriftenreihe
Hydrological Processes
Jahrgang der Zeitschrift
35
Heftnummer der Zeitschrift
3
ISSN
1099-1085
Verlag
John Wiley & Sons
Ort der Erstveröffentlichung
New York
Publikationsjahr der Erstveröffentlichung
2021
Verlags-DOI
10.1002/hyp.14077
PPN
51928111X
Artikel-ID
e14077
Ergänzende Ressourcen (Forschungsdaten)
https://doi.pangaea.de/10.1594/PANGAEA.921389

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