研究论文

Leveraging imbalanced dataset in urban flood susceptibility prediction: A case study of Sanandaj City

Ataollah Shirzadi, Himan Shahabi, Aryan Salvati, Ehsan Jafari Nodoushan, Sayyed Mohammad Hoseini, Marzieh Hajizadeh Tahan, John J. Clague

University of Kurdistan　University of Tehran　Simon Fraser University

来源Journal of Hydrology

年份2025

DOI10.1016/j.jhydrol.2025.134727

原文https://doi.org/10.1016/j.jhydrol.2025.134727

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摘要与影响

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逐年被引趋势

320

326

关键指标

被引次数 · OpenAlex

1.35

领域内被引倍数
同类平均 = 1

前 19%

引用位次
同领域 · 同年份 · 同类型

参考文献

Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。

AI 辅助阅读

依据：文献信息

论文问答

当前基于文献信息回答

可就本文提问；依据不足时会说明。

学术脉络

学科主题

物理

Flood Risk Assessment and Management

Hydrological Forecasting Using AI · Advanced Technologies in Various Fields

参考文献 83

Flood risk and adaptation strategies under climate change and urban expansion: A probabilistic analysis using global data

Sanne Muis, Burak Güneralp, Brenden Jongman · The Science of The Total Environment · 2015

被引 370

Evaluation Measures of the Classification Performance of Imbalanced Data Sets

Qiong Gu, Li Zhu, Zhihua Cai · Communications in computer and information science · 2009

被引 263

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur · Journal of Hydrology · 2013

被引 864

此处列出前 3 条

引用本文 3

A novel framework for urban flood risk assessment integrating probabilistic hazard occurrence and urban environmental response

Yinyin Chen, Guo Yang, XuHeng Xiong · Water Research · 2026

被引 0

Flood susceptibility mapping using analytic hierarchy process hybrid with machine learning model

Jinzhou Li, Ke Wang, Ling Jiang · Geoscience Frontiers · 2026

被引 0

Deep Learning-Based Downstream Water Level Prediction Enhanced by Upstream Predict Information

Changju Kim, Soonchan Park, Hyejun Han · Water · 2026

被引 0

按被引量排序，此处列出前 3 条

研究论文

Leveraging imbalanced dataset in urban flood susceptibility prediction: A case study of Sanandaj City

Ataollah Shirzadi, Himan Shahabi, Aryan Salvati, Ehsan Jafari Nodoushan, Sayyed Mohammad Hoseini, Marzieh Hajizadeh Tahan, John J. Clague

University of Kurdistan　University of Tehran　Simon Fraser University

来源Journal of Hydrology

年份2025

DOI10.1016/j.jhydrol.2025.134727

原文https://doi.org/10.1016/j.jhydrol.2025.134727

阅读操作

确认中

在文库中上传 PDF 后可生成中文音频讲解。

摘要与影响

摘要 · 节选

暂未获取摘要。可打开原文或 PDF，后续可基于全文生成更完整的速读。

逐年被引趋势

320

326

关键指标

被引次数 · OpenAlex

1.35

领域内被引倍数
同类平均 = 1

前 19%

引用位次
同领域 · 同年份 · 同类型

参考文献

Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。

AI 辅助阅读

依据：文献信息

论文问答

当前基于文献信息回答

可就本文提问；依据不足时会说明。

学术脉络

学科主题

物理

Flood Risk Assessment and Management

Hydrological Forecasting Using AI · Advanced Technologies in Various Fields

参考文献 83

Flood risk and adaptation strategies under climate change and urban expansion: A probabilistic analysis using global data

Sanne Muis, Burak Güneralp, Brenden Jongman · The Science of The Total Environment · 2015

被引 370

Evaluation Measures of the Classification Performance of Imbalanced Data Sets

Qiong Gu, Li Zhu, Zhihua Cai · Communications in computer and information science · 2009

被引 263

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur · Journal of Hydrology · 2013

被引 864

此处列出前 3 条

引用本文 3

A novel framework for urban flood risk assessment integrating probabilistic hazard occurrence and urban environmental response

Yinyin Chen, Guo Yang, XuHeng Xiong · Water Research · 2026

被引 0

Flood susceptibility mapping using analytic hierarchy process hybrid with machine learning model

Jinzhou Li, Ke Wang, Ling Jiang · Geoscience Frontiers · 2026

被引 0

Deep Learning-Based Downstream Water Level Prediction Enhanced by Upstream Predict Information

Changju Kim, Soonchan Park, Hyejun Han · Water · 2026

被引 0

按被引量排序，此处列出前 3 条