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DRAINMOD Predicted Impact of Climate Change on Hydrology, Corn Yield, and Drainage Design in the Western Lake Erie Basin, United States

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NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/mpz7wfrs53
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The data provided are the main data used in the analyses in this study. The dataset includes historical and future: 1. Weather parameters (temperature and precipitation): measured, downloaded from NOAA, downloaded from nearby weather stations, and downloaded from NASA NEX-GDDP 2. Evapotranspiration: predicted by DRAINMOD 3. Drainage discharge: predicted by DRAINMOD and measured 4. Water-table depth: Predicted by DRAINMOD and measured 5. Corn yield: Predicted by DRAINMOD and measured 6. Average annual return of investment: calculated based on DRAINMOD's output and gathered economic parameters 7. DRAINMOD model's calibration and validation Highlights: • DRAINMOD predicted free drainage for historical and future scenarios. • DRAINMOD predicted deeper water table and less drainage discharge in the future. • Higher drought stress is expected to reduce crop yields in the future. • Wider drain spacings are projected to be more profitable in the future.
创建时间:
2025-03-10
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