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Cheng, Guanhui, Huang, Guohe, Dong, Cong, Xu, Ye, Yao, Yao (2017) Factorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids. Earth and Space Science, 4 (8). 554-573 doi:10.1002/2017ea000297

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Reference TypeJournal (article/letter/editorial)
TitleFactorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids
JournalEarth and Space Science
AuthorsCheng, GuanhuiAuthor
Huang, GuoheAuthor
Dong, CongAuthor
Xu, YeAuthor
Yao, YaoAuthor
Year2017 (August)Volume4
Issue8
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1002/2017ea000297Search in ResearchGate
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Mindat Ref. ID3048443Long-form Identifiermindat:1:5:3048443:4
GUID0
Full ReferenceCheng, Guanhui, Huang, Guohe, Dong, Cong, Xu, Ye, Yao, Yao (2017) Factorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids. Earth and Space Science, 4 (8). 554-573 doi:10.1002/2017ea000297
Plain TextCheng, Guanhui, Huang, Guohe, Dong, Cong, Xu, Ye, Yao, Yao (2017) Factorial inferential grid grouping and representativeness analysis for a systematic selection of representative grids. Earth and Space Science, 4 (8). 554-573 doi:10.1002/2017ea000297
In(2017, August) Earth and Space Science Vol. 4 (8) American Geophysical Union (AGU)

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Cheng, Guanhui, Huang, Guohe, Dong, Cong, Zhou, Xiong, Zhu, Jinxin, Xu, Ye (2017) Climate classification through recursive multivariate statistical inferences: a case study of the Athabasca River Basin, Canada. International Journal of Climatology, 37. 1001-1012 doi:10.1002/joc.5052
Cheng, Guanhui, Huang, Guohe, Dong, Cong, Lv, Ying, Zhang, Junlong, Yao, Yao, Chen, Xiujuan (2018) Resources and environmental systems management under synchronic interval uncertainties. Stochastic Environmental Research and Risk Assessment, 32 (2). 435-456 doi:10.1007/s00477-017-1445-5
Cheng, Guanhui, Huang, Guohe, Dong, Cong, Zhu, Jinxin, Zhou, Xiong, Yao, Y. (2017) High-resolution projections of 21st century climate over the Athabasca River Basin through an integrated evaluation-classification-downscaling-based climate projection framework. Journal of Geophysical Research: Atmospheres, 122 (5). 2595-2615 doi:10.1002/2016jd026158
Cheng, Guanhui, Huang, Guohe, Dong, Cong (2017) Convex contractive interval linear programming for resources and environmental systems management. Stochastic Environmental Research and Risk Assessment, 31 (1). 205-224 doi:10.1007/s00477-015-1187-1
Cheng, Guanhui, Huang, Guohe (Gordon), Dong, Cong (2015) Synchronic interval Gaussian mixed-integer programming for air quality management. Science of The Total Environment, 538. 986-996 doi:10.1016/j.scitotenv.2015.08.099
Cheng, Guanhui, Huang, Guohe (Gordon), Dong, Cong (2022) Multifactorial Principal‐Monotonicity Inference for Macro‐Scale Distributed Hydrologic Modeling. Water Resources Research, 58 (6) doi:10.1029/2021wr031370
Chen, Xiujuan, Huang, Guohe, Fu, Haiyan, An, Chunjiang, Yao, Yao, Cheng, Guanhui, Suo, Meiqin (2017) Allelopathy Inhibitory Effects of Hydrodictyon reticulatum on Chlorella pyrenoidosa under Co-Culture and Liquor-Cultured Conditions. Water, 9 (6) 416pp. doi:10.3390/w9060416
Wang, Xiuquan, Huang, Guohe, Lin, Qianguo, Nie, Xianghui, Cheng, Guanhui, Fan, Yurui, Li, Zhong, Yao, Yao, Suo, Meiqin (2013) A stepwise cluster analysis approach for downscaled climate projection – A Canadian case study. Environmental Modelling & Software, 49. 141-151 doi:10.1016/j.envsoft.2013.08.006
Dong, Cong, Huang, Gordon, Cheng, Guanhui, An, Chunjiang, Yao, Yao, Chen, Xiujuan, Chen, Jiapei (2019) Wastewater treatment in amine-based carbon capture. Chemosphere, 222. 742-756 doi:10.1016/j.chemosphere.2019.01.038
Cheng, Guanhui, Huang, Guohe (Gordon), Dong, Cong (2023) Development of a macroscale distributed hydro-modeling method: Bayesian principal-monotonicity inference. Journal of Hydrology, 616. 128803 doi:10.1016/j.jhydrol.2022.128803
Cheng, Guanhui, Huang, Guohe (Gordon), Guo, Yiping, Baetz, Brian W., Dong, Cong (2021) Stochastic Rainwater Harvesting System Modeling Under Random Rainfall Features and Variable Water Demands. Water Resources Research, 57 (10) doi:10.1029/2021wr029731
 
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