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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2019     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Occurrence, geochemical fractionation, and environmental risk assessment of major and trace elements in sewage sludge 期刊论文 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2019, 卷号: 249 作者:  Nkinahamira, Francois;  Suanon, Fidele;  Chi, Qiaoqiao;  Li, Yeyun;  Feng, Meiling 收藏  |  浏览/下载：8/0  |  提交时间：2022/03/01 Sewage sludge  Geochemical fractions  Risk assessment  Co-occurrence  Temporal and spatial variations   The effect of development in water-saving irrigation techniques on spatial-temporal variations in crop water footprint and benchmarking 期刊论文 JOURNAL OF HYDROLOGY, 2019, 卷号: 577, 页码: 13 作者:  Wang, Wei;  Zhuo, La;  Li, Meng;  Liu, Yili;  Wu, Pute 收藏  |  浏览/下载：1/0  |  提交时间：2020/05/19 Irrigation techniques  Water footprint accounting  Water footprint benchmark  Spatial-temporal variations   A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data 期刊论文 RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 卷号: 114, 页码: 13 作者:  Jiang, Hou;  Lu, Ning;  Qin, Jun;  Tang, Wenjun;  Yao, Ling 收藏  |  浏览/下载：4/0  |  提交时间：2020/05/19 Global solar radiation  Convolutional neural network  Deep learning  Geostationary satellite  Temporal and spatial variations   Spatiotemporal changes in snow cover over China during 1960-2013 期刊论文 ATMOSPHERIC RESEARCH, 2019, 卷号: 218, 页码: 183-194 作者:  Tan Xuejin;  Wu Zhenni;  Mu Xingmin;  Gao Peng;  Zhao Guangju 收藏  |  浏览/下载：68/0  |  提交时间：2019/05/22 Mean daily snow depth  The number of snow cover days  Spatial-temporal variations  Trend  Abrupt changes  Precipitation  Temperature  China   Spatio-temporal variations and trends of MODIS C6.1 Dark Target and Deep Blue merged aerosol optical depth over China during 2000-2017 期刊论文 ATMOSPHERIC ENVIRONMENT, 2019, 卷号: 214 作者:  Xie, Guangqi;  Wang, Mi;  Pan, Jun;  Zhu, Ying 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05 China  MODIS AOD  DT and DB  Spatial-temporal variations  Long-term trends