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115中位天数
58最短天数
848最长天数
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Paper Review Records

全部论文审稿周期

15 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接

58 天

Asynchronous response relationships between groundwater recharge and river–aquifer exchange in the urbanized karst river basin

作者
Jialu Liu; Jie Niu; Mingxia He; Bin He; Bill X. Hu; Pan Wu展开收起
作者单位
College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China; China Georesources and Environment, Ministry of Education, Guiyang 550025, China; Institute of One Health Science, School of Civil & Environmental Engineering and Geography Science, State Key Laboratory for Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China; International Science and Technology Cooperation Base for Coastal Agricultural Water Resilience and One Health of Zhejiang Province, China; School of Geography and Planning, Huaiyin Normal University, Huaian 223300, China; Yellow River Research Institute, College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China展开收起
PDF源文件 DOI 网页
130 天

Optimal reservoir flood-control operation under successive rainfall events during the Meiyu season

作者
Yuchang Mo; Yunfei Li; Shuaisen Ma; Qingan Qiu; Rui Peng展开收起
作者单位
School of Computer Science and Technology, Zhejiang University of Water Resources and Electric Power, Hangzhou, China; Zhejiang-Kyrgyzstan Joint Laboratory on Artificial Intelligence and Clean Energy, Hangzhou, China; School of Management, Beijing Institute of Technology, Beijing, China; School of Economics and Management, Beijing University of Technology, Beijing, China展开收起
PDF源文件 DOI 网页
158 天

TS-PINN: a dual-branch physics-informed neural network based on two-source theory for evapotranspiration estimation

作者
Xing Rong; Chunlin Huang; Feinan Xu; Jinliang Hou; Peng Dou; Ying Zhang; Qiang Bie; Tianwen Feng; Zhihua Zhang展开收起
作者单位
National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Key Laboratory of Science and Technology in Surveying & Mapping, Gansu Province, Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China; State Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China展开收起
PDF源文件 DOI 网页
108 天

A synergetic framework for land-atmosphere coupling-based remote sensing inversion of evapotranspiration, surface resistance, and aerodynamic resistance

作者
Xiaowei Wang; Yazhen Jiang; Huanyu Zhang; Yitao Li; Menglin Si; Yunsheng Lou; Zhao-Liang Li展开收起
作者单位
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China展开收起
PDF源文件 DOI 网页
108 天

Beyond proportional training set selection in data-driven models: A novel two side distributional decomposition method for urban flood prediction

作者
Songhua Huan展开收起
作者单位
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China展开收起
PDF源文件 DOI 网页
151 天

Spatial attribution analysis of river water quality by integrating remote sensing inversion and multi-source land cover data: An interpretable topological residual Knowledge-Driven Graph Attention Network (ITRK-GAT)

作者
Xiaonan Yang; Peixiong He; Yang Zhang; Yong Bao; Hongyan Zhang; Jiansheng Wang; Li Sun; Songjia Zhang; Yong Liu; Qingli Li展开收起
作者单位
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China; Heilongjiang Agriculture Company Limited, Harbin 150000, China; Beidahuang Information Co., Ltd., Harbin 150000, China; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China展开收起
PDF源文件 DOI 网页

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拟题建议
《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》

样本口径2026 年最近 5 篇有效论文样本

平均审稿62 天

中位数65 天

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