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"Post-processing R tool for SWAT efficiently studying climate change ..."

Beibei Ding et al. (2022)

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DOI: 10.1016/J.ENVSOFT.2022.105492

access: closed

type: Journal Article

metadata version: 2024-10-06

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Beibei Ding, Haipeng Liu, Yingxuan Li, Xueliang Zhang, Puyu Feng, De Li Liu, Gary W. Marek, Srinivasulu Ale, David K. Brauer, Raghavan Srinivasan, Yong Chen:
Post-processing R tool for SWAT efficiently studying climate change impacts on hydrology, water quality, and crop growth. Environ. Model. Softw. 156: 105492 (2022)

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