Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.agwat.2026.110157 |
Licence  |
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| Title (Primary) | Spatio-temporal HYDRUS-1D soil water balance simulations as support for precision irrigation in North-Eastern Germany |
| Author | Wenzel, J.L.; Conrad, C.; Mahmood, T.; Kunz, M.; Volk, M.; Pöhlitz, J. |
| Source Titel | Agricultural Water Management |
| Year | 2026 |
| Department | CLE |
| Volume | 325 |
| Page From | art. 110157 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Supplements | Supplement 1 |
| Keywords | HYDRUS-1D; Plant available water content; Irrigation efficiency; Soil moisture active and passive; Sentinel-1 soil water content |
| Abstract | Accurate
spatio-temporal information on the soil water balance is critical for an
efficient and sustainable irrigation. Large effort requirements limit
the applicability of complex simulations for precision irrigation. The
spatially distributed application of one-dimensional models can
reconcile the need for precise soil water balance simulations with the
complexity of root-zone water flow processes. This study uses HYDRUS-1D
to simulate the daily depth-specific (0 cm to 60 cm, in 10 cm
increments) soil water balance from 1st April to 30th September 2021
(2022). Simulations at 70 m spatial resolution covered a 1600 ha farm in
Mecklenburg-Western Pomerania, Germany. Results were validated against
in-situ soil water content (SWC) and two remotely-sensed SWC data sets
(“Soil Moisture Active Passive”, SMAP; Sentinel-1, S1-SWC). Further
analysis explored crop-specific irrigation efficiencies and potential
farm-scale water savings. Spatially distributed HYDRUS-1D simulations
showed good accuracy compared to in-situ SWC (RMSEmean = 0.020 m3 m−3; MAEmean = 0.017 m3 m−3; R2mean = 0.676; bias = −0.008 m3 m−3). The agreement with remotely-sensed SWC was moderate to weak (RMSEmean = 0.059 (0.150) m3 m−3, MAEmean = 0.049 (0.123) m3 m−3, R2mean = 0.208 (0.141), mean bias = 0.021 (0.108) m3 m−3
for SMAP (S1-SWC)). Irrigation efficiencies were 65.0 % (potato),
47.3 % (wheat), 40.5 % (rye), and 58.2 % (sugar beet). Potential water
savings amounted to 87,006.9 m³ (11.2 % of total irrigation water; 2021)
and 71,396.6 m³ (10.4 %; 2022). The proposed approach reduces the
trade-offs between accurately representing the soil water balance in the
root-zone and keeping the practical effort reasonable. |
| Wenzel, J.L., Conrad, C., Mahmood, T., Kunz, M., Volk, M., Pöhlitz, J. (2026): Spatio-temporal HYDRUS-1D soil water balance simulations as support for precision irrigation in North-Eastern Germany Agric. Water Manage. 325 , art. 110157 10.1016/j.agwat.2026.110157 |
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