Search Results - "Liu, Dedi"

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  1. 1

    A rational performance criterion for hydrological model by Liu, Dedi

    Published in Journal of hydrology (Amsterdam) (01-11-2020)
    “…•An efficiency measure through reformulating the correlation, bias, ratio of variances components of NSE is presented.•The distinction between the population…”
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    Journal Article
  2. 2

    The factors of enhancing Graduate Teaching Assistants’ Technological Pedagogical Content Knowledge (TPACK) performance in engineering curriculum teaching by Liu, Dedi

    Published in Discover education (10-11-2022)
    “…Graduate teaching assistants (GTAs) play important roles in engineering education at the undergraduate level. Since there are lots of technological content…”
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  3. 3

    A Fair Approach for Multi-Objective Water Resources Allocation by Tian, Jing, Guo, Shenglian, Liu, Dedi, Pan, Zhengke, Hong, Xingjun

    Published in Water resources management (01-08-2019)
    “…Due to the effect of climate change, rapid population growth and widespread water pollution, fresh water becomes an increasingly scarce natural resource…”
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  4. 4

    Modeling the nexus across water supply, power generation and environment systems using the system dynamics approach: Hehuang Region, China by Feng, Maoyuan, Liu, Pan, Li, Zejun, Zhang, Jingwen, Liu, Dedi, Xiong, Lihua

    Published in Journal of hydrology (Amsterdam) (01-12-2016)
    “…•The WPE nexus is modeled by using the system dynamics approach.•The coevolution process of WPE nexus is identified as four stages.•The dynamics of WPE nexus…”
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  5. 5

    Assessing the effects of adaptation measures on optimal water resources allocation under varied water availability conditions by Liu, Dedi, Guo, Shenglian, Shao, Quanxi, Liu, Pan, Xiong, Lihua, Wang, Le, Hong, Xingjun, Xu, Yao, Wang, Zhaoli

    Published in Journal of hydrology (Amsterdam) (01-01-2018)
    “…•Incorporating climate change into optimal water resources allocation model.•Assessing the effects of climate change on water resources allocation.•Assessing…”
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  6. 6

    Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches by Duwal, Sunil, Liu, Dedi, Pradhan, Prachand Man

    Published in Geomatics, natural hazards and risk (31-12-2023)
    “…The Karnali River Basin (KRB) comprises the longest river in Nepal, located south of the Himalayas. Despite its high susceptibility to floods, the basin lacks…”
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  7. 7

    Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions by Xu, Wenxin, Chen, Jie, Corzo, Gerald, Xu, Chong‐Yu, Zhang, Xunchang John, Xiong, Lihua, Liu, Dedi, Xia, Jun

    Published in Water resources research (01-02-2024)
    “…This study proposes a new hybrid model for monthly streamflow predictions by coupling a physically based distributed hydrological model with a deep learning…”
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  8. 8

    Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of China by Liu, Dedi, Chen, Xiaohong, Lian, Yanqing, Lou, Zhanghua

    Published in Hydrological processes (30-05-2010)
    “…Observed rainfall and flow data from the Dongjiang River basin in humid southern China were used to investigate runoff changes during low-flow and flooding…”
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  9. 9

    Impact of occlusal contact pattern on dental stability and oromandibular system after orthodontic tooth movement in rats by Wang, Menglin, Wang, Jing, Jin, Xiang, Liu, Dedi, Bian, Huan, Zhao, Yantao, Li, Yanfeng

    Published in Scientific reports (14-12-2023)
    “…How to ensure dental stability in new positions and reduce the likelihood of relapse is a major clinical concern in the orthodontic field. Occlusal contacts…”
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  10. 10

    Moisture-enabled electricity generation from gradient polyoxometalates-modified sponge-like graphene oxide monolith by Liu, Jia, Qi, Yan, Liu, Dongping, Dong, Dapeng, Liu, Dedi, Li, Zhenghua

    Published in Journal of materials science (01-03-2019)
    “…Environmental energy harvesting devices hold great prospect for the next generation electronics, which have attracted intensive attentions recently. In this…”
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  11. 11

    Impact of Cascaded Reservoirs Group on Flow Regime in the Middle and Lower Reaches of the Yangtze River by Duan, Weixin, Guo, Shenglian, Wang, Jun, Liu, Dedi

    Published in Water (Basel) (01-06-2016)
    “…A large number of reservoirs have been built in the Yangtze River basin in the last few decades, the operation of which inevitably impacts on natural runoff…”
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  12. 12

    Resilience Assessment of Water Resources System by Liu, Dedi, Chen, Xiaohong, Nakato, Teddy

    Published in Water resources management (01-10-2012)
    “…The resilience perspective, which emphasizes the integrated, systemic concept of human and nature interactions, is increasingly used as an approach for…”
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  13. 13

    Observation‐Constrained Projection of Flood Risks and Socioeconomic Exposure in China by Kang, Shengyu, Yin, Jiabo, Gu, Lei, Yang, Yuanhang, Liu, Dedi, Slater, Louise

    Published in Earth's future (01-07-2023)
    “…As the planet warms, the atmosphere's water vapor holding capacity rises, leading to more intense precipitation extremes. River floods with high peak discharge…”
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  14. 14

    A Model for the Optimal Allocation of Water Resources in a Saltwater Intrusion Area: A Case Study in Pearl River Delta in China by Liu, Dedi, Chen, Xiaohong, Lou, Zhanghua

    Published in Water resources management (2010)
    “…This paper presents a model for the optimal allocation of water resources in saltwater intrusion areas. The model is comprised of four modules: a joint…”
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  15. 15

    Comparison of spatial interpolation methods for the estimation of precipitation patterns at different time scales to improve the accuracy of discharge simulations by Liu, Dedi, Zhao, Qin, Fu, Dezhi, Guo, Shenglian, Liu, Pan, Zeng, Yujie

    Published in Hydrology Research (01-08-2020)
    “…Abstract Interpolating precipitation data is of prime importance to hydrological design, modeling, and water resource management. Various models have been…”
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  16. 16

    Evaluating the Temporal Dynamics of Uncertainty Contribution from Satellite Precipitation Input in Rainfall-Runoff Modeling Using the Variance Decomposition Method by Ma, Qiumei, Xiong, Lihua, Liu, Dedi, Xu, Chong-Yu, Guo, Shenglian

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…Satellite precipitation estimates (SPE), characterized by high spatial-temporal resolution, have been increasingly applied to hydrological modeling. However,…”
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  17. 17

    Estimation and attribution of water storage changes in regulated lakes based on Budyko’s supply–demand framework by Zhou, Mi, Xiong, Lihua, Chen, Gang, Chen, Jie, Liu, Dedi, Li, Shuai

    Published in Journal of hydrology. Regional studies (01-10-2023)
    “…Lake Dianchi, southwest China Understanding changes in lake water storage (LWS) and its attribution to climate change and human activities is essential for…”
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  18. 18

    Statistics in Hydrology by Chen, Yuanfang, Wang, Dong, Liu, Dedi, Li, Binquan, Sharma, Ashish

    Published in Water (Basel) (01-05-2022)
    “…Statistical methods have a long history in the analysis of hydrological data for designing, planning, infilling, forecasting, and specifying better models to…”
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  19. 19

    Improving Parameter Transferability of GR4J Model under Changing Environments Considering Nonstationarity by Zeng, Ling, Xiong, Lihua, Liu, Dedi, Chen, Jie, Kim, Jong-Suk

    Published in Water (Basel) (01-10-2019)
    “…Hydrological nonstationarity has brought great challenges to the reliable application of conceptual hydrological models with time-invariant parameters. To cope…”
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  20. 20

    On the Contribution of Satellite Altimetry-Derived Water Surface Elevation to Hydrodynamic Model Calibration in the Han River by Shen, Youjiang, Liu, Dedi, Jiang, Liguang, Yin, Jiabo, Nielsen, Karina, Bauer-Gottwein, Peter, Guo, Shenglian, Wang, Jun

    Published in Remote sensing (Basel, Switzerland) (01-12-2020)
    “…Satellite altimetry can fill the spatial gaps of in-situ gauging networks especially in poorly gauged regions. Although at a generally low temporal resolution,…”
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