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• 地理科学与资源研究... [30]

采集方式

• OAI收割 [30]

内容类型

• 期刊论文 [24]
• SCI/SSCI论文 [5]
• EI期刊论文 [1]

发表日期

• 2023 [3]
• 2022 [4]
• 2021 [1]
• 2020 [3]
• 2019 [4]
• 2017 [1]
• 更多

学科主题

• Meteorolog... [1]

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浏览/检索结果: 共30条，第1-10条 帮助 限定条件 专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Increased risk of flash droughts with raised concurrent hot and dry extremes under global warming 期刊论文  OAI收割 NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2023, 卷号: 6, 期号: 1, 页码: 134 作者:  Zeng, Zhaoqi;  Wu, Wenxiang;  Penuelas, Josep;  Li, Yamei;  Jiao, Wenzhe   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/10/10 Impact of Large Reservoirs on Runoff and Sediment Load in the Jinsha River Basin 期刊论文  OAI收割 WATER, 2023, 卷号: 15, 期号: 18, 页码: 22 作者:  Wang, Suiji;  Wang, Xumin   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/10/30 runoff  suspended sediment load  sediment concentration  coefficient of incoming sediment  variation  reservoir  Jinsha River   Abrupt Change of the Generalized Complementary Relationship of Evaporation Over Irrigated Double Cropping North China Plain With East Asian Monsoon 期刊论文  OAI收割 WATER RESOURCES RESEARCH, 2023, 卷号: 59, 期号: 4, 页码: e2022WR033902 作者:  Han, Songjun;  Zhao, Yujie;  Zhang, Baozhong;  Wang, Yaqi;  Lei, Huimin   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/01/04 evaporation  generalized complementary relationship  East Asian monsoon  North China Plain  double cropping  irrigation   How global change impacted the rise and fall of the Guge Kingdom 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2022, 卷号: 17, 期号: 12, 页码: 12 作者:  Han, Likun;  Wang, Xunming;  Hao, Zhixin;  Zheng, Jingyun;  Li, Danfeng   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/01/09 Guge Kingdom  climate change  land productivity  Tibetan Plateau  social vulnerability   How global change impacted the rise and fall of the Guge Kingdom 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2022, 卷号: 17, 期号: 12, 页码: 12 作者:  Han, Likun;  Wang, Xunming;  Hao, Zhixin;  Zheng, Jingyun;  Li, Danfeng   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/01/09 Guge Kingdom  climate change  land productivity  Tibetan Plateau  social vulnerability   Assessing environmental thresholds in relation to plant structure and nutritional value for improved maize calendar ensuring food security 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 834, 页码: 11 作者:  Ahmad, Aqeel;  Liu, Yujie;  Ge, Quansheng   |  收藏  |  浏览/下载：13/0  |  提交时间：2022/09/21 Glycemic index  Nutritional index  Nutritional security  Proximate composition  Spatial distribution   Assessing environmental thresholds in relation to plant structure and nutritional value for improved maize calendar ensuring food security 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 834, 页码: 11 作者:  Ahmad, Aqeel;  Liu, Yujie;  Ge, Quansheng   |  收藏  |  浏览/下载：13/0  |  提交时间：2022/09/21 Glycemic index  Nutritional index  Nutritional security  Proximate composition  Spatial distribution   A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives Identification of flash drought 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 页码: 17 作者:  Hu, Chen;  Xia, Jun;  She, Dunxian;  Li, Lingcheng;  Song, Zhihong   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/06/10 flash drought identification framework  linearly multivariate indicator  precipitation deficit  soil moisture shortage  the Loess Plateau   A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者:  Zhang, Qiang;  Wu, Shun;  Wang, Xiangwen;  Sun, Binzhen;  Liu, Haimeng   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/03/16 PM(2.5)prediction  Multi-task deep learning  Artificial intelligence  Intensive monitoring stations  Lanzhou city   A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者:  Zhang, Qiang;  Wu, Shun;  Wang, Xiangwen;  Sun, Binzhen;  Liu, Haimeng   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/03/16 PM(2.5)prediction  Multi-task deep learning  Artificial intelligence  Intensive monitoring stations  Lanzhou city