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Variability of Rainfall Areal Reduction Factors for a Coastal City: A Case Study of Shenzhen, China
Variability of Rainfall Areal Reduction Factors for a Coastal City: A Case Study of Shenzhen, China
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Variability of Rainfall Areal Reduction Factors for a Coastal City: A Case Study of Shenzhen, China

Chang, Chenchao ; Chen, Yiheng ; Huang, Jinhui Jeanne

Journal of hydrologic engineering, 2023-06, Vol.28 (6) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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2
The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea
The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea
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The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea

Lee, Won Young ; Park, Seon Ki ; Sung, Hyo Hyun

Landslides, 2021-05, Vol.18 (5), p.1721-1739 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
What drives spatial variability in rainfall intensity-duration thresholds for post-wildfire debris flows? Insights from the 2018 Buzzard Fire, NM, USA
What drives spatial variability in rainfall intensity-duration thresholds for post-wildfire debris flows? Insights from the 2018 Buzzard Fire, NM, USA
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What drives spatial variability in rainfall intensity-duration thresholds for post-wildfire debris flows? Insights from the 2018 Buzzard Fire, NM, USA

McGuire, Luke A. ; Youberg, Ann M.

Landslides, 2020-10, Vol.17 (10), p.2385-2399 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
New insights into the catastrophic slope failures at Sau Mau Ping: the role of antecedent rainfall pattern
New insights into the catastrophic slope failures at Sau Mau Ping: the role of antecedent rainfall pattern
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New insights into the catastrophic slope failures at Sau Mau Ping: the role of antecedent rainfall pattern

Natalia, Levinna ; Yang, Jun

Landslides, 2024-07, Vol.21 (7), p.1501-1514 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
The influence of the rainfall data temporal resolution on the results of numerical modelling of landslide reactivation in flysch slope
The influence of the rainfall data temporal resolution on the results of numerical modelling of landslide reactivation in flysch slope
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The influence of the rainfall data temporal resolution on the results of numerical modelling of landslide reactivation in flysch slope

Peranić, Josip ; Arbanas, Željko

Landslides, 2022-12, Vol.19 (12), p.2809-2822 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Climate Change and Rainfall Intensity–Duration–Frequency Curves: Overview of Science and Guidelines for Adaptation
Climate Change and Rainfall Intensity–Duration–Frequency Curves: Overview of Science and Guidelines for Adaptation
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Climate Change and Rainfall Intensity–Duration–Frequency Curves: Overview of Science and Guidelines for Adaptation

Martel, Jean-Luc ; Brissette, François P ; Lucas-Picher, Philippe ; Troin, Magali ; Arsenault, Richard

Journal of hydrologic engineering, 2021-10, Vol.26 (10) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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7
Investigating the Spatiotemporal Complexity of Rainfall from a Chaotic Perspective: Case Study in the Jinsha River Basin, China
Investigating the Spatiotemporal Complexity of Rainfall from a Chaotic Perspective: Case Study in the Jinsha River Basin, China
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Investigating the Spatiotemporal Complexity of Rainfall from a Chaotic Perspective: Case Study in the Jinsha River Basin, China

Yu, Siyi ; Wang, Wensheng ; Liang, Hanxu ; Zhang, Dan

Journal of hydrologic engineering, 2024-08, Vol.29 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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8
Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines
Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines
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Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

Taormina, Riccardo ; Chau, Kwok-Wing

Journal of hydrology (Amsterdam), 2015-10, Vol.529, p.1617-1632 [Periódico revisado por pares]

Elsevier B.V

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9
Bias Correction of Satellite Precipitation Products for Hydrologic Modeling in Western Ghats Region, India
Bias Correction of Satellite Precipitation Products for Hydrologic Modeling in Western Ghats Region, India
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Bias Correction of Satellite Precipitation Products for Hydrologic Modeling in Western Ghats Region, India

Kunnath-Poovakka, Aiswarya ; Eldho, T. I.

Journal of hydrologic engineering, 2023-04, Vol.28 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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10
Evaluation of Multiradar Multisensor and Stage IV Quantitative Precipitation Estimates during Hurricane Harvey
Evaluation of Multiradar Multisensor and Stage IV Quantitative Precipitation Estimates during Hurricane Harvey
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Evaluation of Multiradar Multisensor and Stage IV Quantitative Precipitation Estimates during Hurricane Harvey

Gao, Shang ; Zhang, Jiaqi ; Li, Dongfeng ; Jiang, Han ; Fang, Zheng N

Natural hazards review, 2021-02, Vol.22 (1) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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