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限定条件	内容类型：SCI/SSCI论文

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	Using pedotransfer functions to estimate soil hydraulic conductivity in the Loess Plateau of China SCI/SSCI论文 2016 作者: Zhao C. L.; Shao, M. A.; Jia, X. X.; Nasir, M.; Zhang, C. C. 收藏 \| 浏览/下载：56/0 \| 提交时间：2016/12/16 Saturated soil hydraulic conductivity Loess Plateau Artificial neural network Multiple linear regression Stability artificial neural-networks particle-size distribution physical-properties water conservation bulk-density prediction inference variables patterns systems
	Nighttime Light Derived Assessment of Regional Inequality of Socioeconomic Development in China SCI/SSCI论文 2015 作者: Zhou Y. K.; Ma, T.; Zhou, C. H.; Xu, T. 收藏 \| 浏览/下载：19/0 \| 提交时间：2015/12/09 electric-power consumption dmsp-ols data income inequality satellite imagery urbanization dynamics economic-activity provincial china spatial-analysis time-series cities
	Contribution of mass elevation effect to the altitudinal distribution of global treelines SCI/SSCI论文 2015 作者: Zhao F.; Zhang, B. P.; Zhang, S.; Qi, W. W.; He, W. H. 收藏 \| 浏览/下载：19/0 \| 提交时间：2015/12/09 Alpine treeline Intra-mountain base elevation Multiple regression analysis Geographical factor Continentality Contribution rate northern-hemisphere species richness tibetan plateau forest vegetation mountains line asia timberline patterns
	Relationships between land use patterns and water quality in the Taizi River basin, China SCI/SSCI论文 2014 作者: Zhang Y.; Zhang Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2014/12/24 Land use Landscape metrics Water quality Correlation coefficient Multiple linear regression Factor analysis european russia vegetation chemistry impacts surface system
	Spatially distributed modeling of soil organic matter across China: An application of artificial neural network approach SCI/SSCI论文 2013 作者: Yang J. 收藏 \| 浏览/下载：36/0 \| 提交时间：2014/12/24 Soil organic matter Radial basis function neural networks Principal component analysis Spatial prediction China multiple-regression approach regional-scale carbon content prediction water information management landscape nitrogen flanders
	Pedotransfer Functions for Predicting Soil Hydraulic Properties of the Chinese Loess Plateau SCI/SSCI论文 2012 Wang Y. Q.; Shao M. A.; Liu Z. P. 收藏 \| 浏览/下载：18/0 \| 提交时间：2014/12/24 Saturated hydraulic conductivity field capacity multiple linear regression analysis ROSETTA HYPRES artificial neural-network pedo-transfer functions water-retention spatial variability unsaturated soils scale-dependency conductivity parameters
	Large-scale spatial variability and distribution of soil organic carbon across the entire Loess Plateau, China SCI/SSCI论文 2012 Liu Z. P.; Shao M. A.; Wang Y. Q. 收藏 \| 浏览/下载：21/0 \| 提交时间：2012/09/04 geostatistics landform spatial heterogeneity spatial interpolation agricultural soils land-use northeast china climate-change black soil matter sequestration ecosystem nitrogen mineralization
	Soil texture mapping over low relief areas using land surface feedback dynamic patterns extracted from MODIS SCI/SSCI论文 2012 Liu F.; Geng X. Y.; Zhu A. X.; Fraser W.; Waddell A. 收藏 \| 浏览/下载：16/0 \| 提交时间：2012/09/04 Low relief areas Soil texture mapping Land surface dynamic feedbacks MODIS SoLIM airborne hyperspectral measurements particle-size fractions spatial prediction clay differentiation field
	Regional spatial pattern of deep soil water content and its influencing factors SCI/SSCI论文 2012 Wang Y. Q.; Shao M. A.; Liu Z. P.; Warrington D. N. 收藏 \| 浏览/下载：12/0 \| 提交时间：2014/12/24 spatial variability land-use management geostatistics multiple linear regression residual maximum likelihood analysis Loess Plateau of China remote-sensing footprints field-scale variability loess-plateau moisture variability land-use china catchment model precipitation vegetation
	The trend on runoff variations in the Lhasa River Basin SCI/SSCI论文 2008 Lin X. D.; Zhang Y. L.; Yao Z. J.; Gong T. L.; Wang H.; Chu D.; Liu L. S.; Zhang F. 收藏 \| 浏览/下载：22/0 \| 提交时间：2012/06/08 Lhasa River Basin trend of runoff variation Pettitt change-point test Mann-Kendall trend analysis multiple linear regressions change-point precipitation variability

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