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Qianfeng Wang   Dr.  Institute, Department or Faculty Head 
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Qianfeng Wang published an article in April 2019.
Top co-authors
Bin He

20 shared publications

College of Global Change and Earth System Science; Beijing Normal University; Beijing China

Honglin Wang

6 shared publications

Publication Record
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(2010 - 2019)
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Article 0 Reads 0 Citations Improving hydrological simulation in the Upper Mississippi River Basin through enhanced freeze-thaw cycle representation Junyu Qi, Xuesong Zhang, Qianfeng Wang Published: 01 April 2019
Journal of Hydrology, doi: 10.1016/j.jhydrol.2019.02.020
DOI See at publisher website ABS Show/hide abstract
Freeze-thaw cycles are important processes relevant to terrestrial hydrological cycling. However, the representation of freeze-thaw cycle has been often simplified in large scale watershed models. The Soil and Water Assessment Tool (SWAT), which has been widely used to understand and assess hydrologic budgets and water resources management, employs a simplified empirical approach to estimate soil temperature and determine the freezing and thawing status of soils. Here, we compared the performance of a physically-based soil temperature module and the built-in empirical approach in SWAT against field measurements at surface and 5, 10, 20, 50, and 100 cm depths at six stations of the U.S. Climate Reference Network (USCRN) within the Upper Mississippi River Basin (UMRB). In general, SWAT consistently underestimated winter soil temperatures and overestimated frozen days at all soil depths, while the modified version of SWAT (equipped with the physically-based soil temperature model; referred to as TSWAT) pronouncedly reduced the bias in estimated winter soil temperatures and frozen days compared with SWAT. Model performance assessment is conducted with three statistical coefficients, i.e., Bias (℃), coefficient of determination (R2), and Nash-Sutcliffe coefficient (NS). Statistical analyses show that TSWAT accurately simulated surface and soil temperatures at the five depths with R2 and NS values greater than 0.82 at most sites, and Bias values were generally within the range of -1 to 1℃ during winter and ranged between -2.09 and 2.58 ℃ in non-winter seasons. The differences in freeze-thaw cycle representation between SWAT and TSWAT translate into noticeable discrepancies in simulated key hydrologic variables, such as surface runoff, percolation, and baseflow. Compared against long-term observed streamflow (1980-2015), TSWAT outperformed SWAT in capturing variations in monthly streamflow in both winter and non-winter seasons. These results and analyses highlight the value of improving freeze-thaw cycle representation for enhanced hydrologic modeling in large watersheds that are subject to freeze-thaw cycles.
Article 1 Read 0 Citations Basin-scale estimation of nitrogen footprint and corresponding dynamic change characteristics: A case study Yue Zeng, Changcheng Xu, Qianfeng Wang, Yunqin Li, Song Hou Published: 01 March 2019
Environmental Development, doi: 10.1016/j.envdev.2018.12.008
DOI See at publisher website
Article 2 Reads 0 Citations Metal accumulation in Asiatic clam from the Lower Min River (China) and implications for human health Yue Zeng, Zhongtao Li, Qianfeng Wang, Changcheng Xu, Yunqin ... Published: 19 November 2018
Frontiers of Earth Science, doi: 10.1007/s11707-018-0724-x
DOI See at publisher website
Article 3 Reads 0 Citations BP neural networks and random forest models to detect damage by Dendrolimus punctatus Walker Zhanghua Xu, Xuying Huang, Lu Lin, Qianfeng Wang, Jian Liu, ... Published: 08 November 2018
Journal of Forestry Research, doi: 10.1007/s11676-018-0832-1
DOI See at publisher website
Article 0 Reads 0 Citations The effects of air temperature and precipitation on the net primary productivity in China during the early 21st century Qianfeng Wang, Jingyu Zeng, Song Leng, Bingxiong Fan, Jia Ta... Published: 03 November 2018
Frontiers of Earth Science, doi: 10.1007/s11707-018-0697-9
DOI See at publisher website
Article 0 Reads 0 Citations Spatial-temporal evolution of vegetation evapotranspiration in Hebei Province, China Qian-Feng Wang, Jia Tang, Jing-Yu Zeng, Yan-Ping Qu, Qing Zh... Published: 01 September 2018
Journal of Integrative Agriculture, doi: 10.1016/s2095-3119(17)61900-2
DOI See at publisher website