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Dive into the research topics where Tianfang Xu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Opportunities to Enhance Recharge in Arizona
Mascaro, G. (PI) & Xu, T. (CoI)
1/17/23 → 6/30/26
Project: Research project
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Designing nature to enhance resilience of built infrastructure in western US landscapes
Xu, T. (CoI), Pavlic, T. (CoI), Mascaro, G. (CoI), Maciejewski, R. (CoI), Muenich, R. (CoI), Liu, H. (CoI), Wutich, A. (CoI), Sefair, J. (CoI) & Candan, K. (PI)
DOD-ARMY: Army Corps of Engineers (USACE)
9/24/21 → 9/28/24
Project: Research project
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Development of a point-source model to improve simulations of manure lagoon interactions with the environment
Rudko, N., Muenich, R. L., Garcia, M. & Xu, T., Jan 1 2023, In: Journal of Environmental Management. 325, 116332.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Effects of meteorological forcing uncertainty on high-resolution snow modeling and streamflow prediction in a mountainous karst watershed
Tyson, C., Longyang, Q., Neilson, B. T., Zeng, R. & Xu, T., Apr 2023, In: Journal of Hydrology. 619, 129304.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China
Hou, H., Longyang, Q., Su, H., Zeng, R., Xu, T. & Wang, Z. H., Aug 2023, In: International Journal of Applied Earth Observation and Geoinformation. 122, 103411.Research output: Contribution to journal › Review article › peer-review
Open Access28 Scopus citations -
Estimating Irrigation Water Consumption Using Machine Learning and Remote Sensing Data in Kansas High Plains
Wei, S., Xu, T., Niu, G. Y. & Zeng, R., Jul 1 2022, In: Remote Sensing. 14, 13, 3004.Research output: Contribution to journal › Article › peer-review
Open Access17 Scopus citations -
Hybrid Physically Based and Deep Learning Modeling of a Snow Dominated, Mountainous, Karst Watershed
Xu, T., Longyang, Q., Tyson, C., Zeng, R. & Neilson, B. T., Mar 2022, In: Water Resources Research. 58, 3, e2021WR030993.Research output: Contribution to journal › Article › peer-review
22 Scopus citations
Press/Media
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Water Intelligence: Connecting the Dots between Snowpack and Streamflow in Mountainous Watersheds
9/21/23
1 item of Media coverage
Press/Media: Press / Media
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WATER INTELLIGENCE: CONNECTING THE DOTS BETWEEN SNOWPACK AND STREAMFLOW IN MOUNTAINOUS WATERSHEDS
9/20/23
2 items of Media coverage
Press/Media: Press / Media
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Water Intelligence Connecting the Dots between Snowpack and Streamflow in Mountainous Watersheds
9/20/23
2 items of Media coverage
Press/Media: Press / Media
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Utah State University Researchers Study Unique Groundwater Pathways in Logan Canyon
4/7/21
1 item of Media coverage
Press/Media: Press / Media
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USU RESEARCHERS STUDY UNIQUE GROUNDWATER PATHWAYS IN LOGAN CANYON
4/6/21
1 item of Media coverage
Press/Media: Press / Media