Search Results - "Tu, Tongbi"

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  1. 1

    Mapping flood susceptibility in mountainous areas on a national scale in China by Zhao, Gang, Pang, Bo, Xu, Zongxue, Yue, Jiajia, Tu, Tongbi

    Published in The Science of the total environment (15-02-2018)
    “…•The flood susceptibility of mountain areas in China was mapped and validated, for the first time, based on RF model.•The model was calibrated and validated…”
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    Journal Article
  2. 2

    The color of environmental noise in river networks by Tu, Tongbi, Comte, Lise, Ruhi, Albert

    Published in Nature communications (28-03-2023)
    “…Despite its far-reaching implications for conservation and natural resource management, little is known about the color of environmental noise, or the…”
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  3. 3

    Effects of beach nourishment on seawater intrusion in layered heterogeneous aquifers by Yu, Xuan, He, Lanxuan, Yao, Rongjiang, Tu, Tongbi, Zhang, Zebin, Zhao, Xinfeng

    Published in Journal of hydrology (Amsterdam) (01-04-2024)
    “…•Field data showed groundwater salinity increase after beach nourishment.•Beach nourishment of heterogeneous aquifers creates complex fresh-saline interface…”
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  4. 4

    Multidimensional Governing Equations of Matrix Flow Component of Subsurface Stormflow as Function of Bedrock Surface Geometry by Kavvas, M. Levent, Tu, Tongbi, Ercan, Ali, Chen, Z. Q.

    Published in Water resources research (01-12-2022)
    “…Subsurface flow is a critical component in the hydrological cycle, since it controls the quantity and timing of surface runoff and groundwater flow. Field…”
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  5. 5

    Temporal dynamics of soil salinization due to vertical and lateral saltwater intrusion at an onshore aquaculture farm by Yu, Xuan, Xu, Beiyuan, Yao, Rongjiang, Wei, Junhong, Tu, Tongbi, Chen, Zi

    Published in Agricultural water management (01-12-2024)
    “…Saltwater intrusion (SWI) on low-lying coastal farms causes soil salinization, which may gradually render the land unsuitable for cultivation. Many studies on…”
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  6. 6

    Co-regulation of water and energy in the spatial heterogeneity of drought resistance and resilience by Chen, Juan, Liu, Zhiyong, Mao, Jiafu, Zhao, Tongtiegang, Tu, Tongbi, Cheng, Linyin, Dong, Chunyu

    Published in Environmental research letters (01-11-2023)
    “…Abstract Vegetation resistance and resilience to drought are linked to the stability of terrestrial ecosystems under climate change. However, the factors…”
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  7. 7

    Multi-time-scale input approaches for hourly-scale rainfall–runoff modeling based on recurrent neural networks by Ishida, Kei, Kiyama, Masato, Ercan, Ali, Amagasaki, Motoki, Tu, Tongbi

    Published in Journal of hydroinformatics (01-11-2021)
    “…Abstract This study proposes two effective approaches to reduce the required computational time of the training process for time-series modeling through a…”
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  8. 8

    Bedrock mediates responses of ecosystem productivity to climate variability by Dong, Xiaoli, Martin, Jonathan B., Cohen, Matthew J., Tu, Tongbi

    Published in Communications earth & environment (01-12-2023)
    “…Abstract Sensitivity of ecosystem productivity to climate variability is a critical component of ecosystem resilience to climate change. Variation in ecosystem…”
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  9. 9

    Hybrid precipitation downscaling over coastal watersheds in Japan using WRF and CNN by Tu, Tongbi, Ishida, Kei, Ercan, Ali, Kiyama, Masato, Amagasaki, Motoki, Zhao, Tongtiegang

    Published in Journal of hydrology. Regional studies (01-10-2021)
    “…•A hybrid precipitation downscaling framework by WRF and CNN was proposed.•CNN has the potential to capture the dynamics in WRF.•WRF may be needed to enhance…”
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  10. 10

    Scaling from global to regional river flow with global hydrological models: Choice matters by Tu, Tongbi, Wang, Jiahao, Zhao, Gang, Zhao, Tongtiegang, Dong, Xiaoli

    Published in Journal of hydrology (Amsterdam) (01-04-2024)
    “…[Display omitted] •Five discharge datasets have median correlation coefficients > 0.6 with the observations.•Overestimation of monthly mean flow is more common…”
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  11. 11

    Enhancing physically-based hydrological modeling with an ensemble of machine-learning reservoir operation modules under heavy human regulation using easily accessible data by Tu, Tongbi, Li, Yilan, Duan, Kai, Zhao, Tongtiegang

    Published in Journal of environmental management (01-05-2024)
    “…Dams and reservoirs have significantly altered river flow dynamics worldwide. Accurately representing reservoir operations in hydrological models is crucial…”
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  12. 12

    Unravelling the potential of global streamflow reanalysis in characterizing local flow regime by Zhao, Tongtiegang, Chen, Zexin, Tu, Tongbi, Yan, Denghua, Chen, Xiaohong

    Published in The Science of the total environment (10-09-2022)
    “…While global streamflow reanalysis provides valuable information for environmental modelling and management, it is not yet known how effective they are in…”
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  13. 13

    Reconstructing long-term natural flows by ensemble machine learning by Tu, Tongbi, Wang, Jiahao, Wang, Chao, Liang, Zhiming, Duan, Kai

    “…Large-scale human activities have caused significant disruption to the natural flow regime of rivers worldwide, leading to substantial deviations from river…”
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  14. 14

    Probabilistic solution to two-dimensional stochastic solute transport model by the Fokker-Planck equation approach by Tu, Tongbi, Ercan, Ali, Kavvas, M. Levent

    Published in Journal of hydrology (Amsterdam) (01-01-2020)
    “…Mean solute concentration (mg/L) at the y = 0.4B through x by (a) Monte Carlo simulations and (c) Fokker-Planck Equation; Mean solute concentration at the…”
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  15. 15

    Capabilities of deep learning models on learning physical relationships: Case of rainfall-runoff modeling with LSTM by Yokoo, Kazuki, Ishida, Kei, Ercan, Ali, Tu, Tongbi, Nagasato, Takeyoshi, Kiyama, Masato, Amagasaki, Motoki

    Published in The Science of the total environment (01-01-2022)
    “…This study investigates the relationships which deep learning methods can identify between the input and output data. As a case study, rainfall-runoff modeling…”
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  16. 16

    PairwiseIHA: A python toolkit to detect flow regime alterations for headwater rivers by Chen, Zexin, Zhao, Tongtiegang, Tu, Tongbi, Tu, Xinjun, Chen, Xiaohong

    “…The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly obtain the Indicators of Hydrologic Alteration (IHA) from inflow…”
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  17. 17

    An enhanced inundation method for urban flood hazard mapping at the large catchment scale by Zhao, Gang, Xu, Zongxue, Pang, Bo, Tu, Tongbi, Xu, Liyang, Du, Longgang

    Published in Journal of hydrology (Amsterdam) (01-04-2019)
    “…•EIM was proposed for urban flood hazard mapping at the large catchment scale.•SWMM model was introduced in floodwater generation process.•Floodwater spreading…”
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  18. 18

    Large-scale flash flood warning in China using deep learning by Zhao, Gang, Liu, Ronghua, Yang, Mingxiang, Tu, Tongbi, Ma, Meihong, Hong, Yang, Wang, Xiekang

    Published in Journal of hydrology (Amsterdam) (01-01-2022)
    “…•We propose an LSTM-based approach for large-scale flash flood warning.•This approach was demonstrated in the mountainous and hilly areas of China.•This…”
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  19. 19

    Hourly-scale coastal sea level modeling in a changing climate using long short-term memory neural network by Ishida, Kei, Tsujimoto, Gozo, Ercan, Ali, Tu, Tongbi, Kiyama, Masato, Amagasaki, Motoki

    Published in The Science of the total environment (10-06-2020)
    “…In this study, a coastal sea level estimation model was developed at an hourly temporal scale using the long short-term memory (LSTM) network, which is a type…”
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  20. 20

    Spatiotemporal links between meteorological and agricultural droughts impacted by tropical cyclones in China by Gao, Yankang, Zhao, Tongtiegang, Tu, Tongbi, Tian, Yu, Zhang, Yongyong, Liu, Zhiyong, Zheng, Yanhui, Chen, Xiaohong, Wang, Hao

    Published in The Science of the total environment (20-02-2024)
    “…Both droughts and tropical cyclones (TCs) are among the world's most widespread natural disasters. This paper is concentrated on the effects of TCs on the…”
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