Search Results - "Song, Songbai"
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Spatial comparability of drought characteristics and related return periods in mainland China over 1961–2013
Published in Journal of hydrology (Amsterdam) (01-07-2017)“…•Effects of temperature variation on the effectiveness of drought indices were evaluated.•Drought characteristics in mainland China showed substantial…”
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2
Probabilistic modelling of drought events in China via 2-dimensional joint copula
Published in Journal of hydrology (Amsterdam) (01-04-2018)“…•Bivariate Archimedean copulas NN13, NN19 and NN20 performed well for modeling drought frequency variations in China.•Bivariate copula-based models are derived…”
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3
Comparison of Frequency Calculation Methods for Precipitation Series Containing Zero Values
Published in Water resources management (2022)“…The Muskingum-based (MK-based) distributions and their probability weighted moments (PWMs) have been used for frequency calculation of hydrological data that…”
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4
Groundwater Depth Forecasting Using Configurational Entropy Spectral Analyses with the Optimal Input
Published in Ground water (01-09-2020)“…Accurate groundwater depth forecasting is particularly important for human life and sustainable groundwater management in arid and semi‐arid areas. To improve…”
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5
Biodiversity and Wetting of Climate Alleviate Vegetation Vulnerability Under Compound Drought‐Hot Extremes
Published in Geophysical research letters (28-05-2024)“…Global warming has intensified the intensity of compound drought‐hot extremes (CDHEs), posing more severe impacts on human societies and ecosystems than…”
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6
Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China
Published in Entropy (Basel, Switzerland) (26-12-2019)“…The study on the complexity of streamflow has guiding significance for hydrologic simulation, hydrologic prediction, water resources planning and management…”
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7
Confidence Interval Estimation for Precipitation Quantiles Based on Principle of Maximum Entropy
Published in Entropy (Basel, Switzerland) (22-03-2019)“…The principle of maximum entropy (POME) has been used for a variety of applications in hydrology, however it has not been used in confidence interval…”
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8
Predicting daily streamflow with a novel multi-regime switching ARIMA-MS-GARCH model
Published in Journal of hydrology. Regional studies (01-06-2023)“…Weihe River Basin of China In recent decades, changing environments destroyed the natural structure of streamflow, making accurate streamflow prediction…”
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9
Climate Change Determines Future Population Exposure to Summertime Compound Dry and Hot Events
Published in Earth's future (01-11-2022)“…Compound dry and hot events (CDHEs) have increased significantly and caused agricultural losses and adverse impacts on human health. It is thus critical to…”
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10
Trends, change points and spatial variability in extreme precipitation events from 1961 to 2017 in China
Published in Hydrology Research (01-06-2020)“…Abstract Extreme precipitation events vary with different sub-regions, sites and years and show complex characteristics. In this study, the temporal…”
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11
The energy, water supply, and ecology coordination for middle-long-term reservoirs scheduling with different connection modes using an elite mutation strategy-based NMOSFLA
Published in Journal of hydroinformatics (01-11-2022)“…Abstract Conventional reservoir operation emphasizes power generation (PG) with ignoring downstream river ecosystem and water supply benefits for sustainable…”
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12
MLE-Based Parameter Estimation for Four-Parameter Exponential Gamma Distribution and Asymptotic Variance of Its Quantiles
Published in Water (Basel) (01-08-2021)“…The choice of a probability distribution function and confidence interval of estimated design values have long been of interest in flood frequency analysis…”
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13
Entropy-Based Parameter Estimation for the Four-Parameter Exponential Gamma Distribution
Published in Entropy (Basel, Switzerland) (01-05-2017)“…Two methods based on the principle of maximum entropy (POME), the ordinary entropy method (ENT) and the parameter space expansion method (PSEM), are developed…”
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14
Urban Water Consumption Prediction Based on CPMBNIP
Published in Water resources management (01-10-2023)“…The prediction of urban water consumption is of great significance for urban planning and management, addressing water demand conflicts among various…”
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15
Point and Interval Forecasting of Groundwater Depth Using Nonlinear Models
Published in Water resources research (01-12-2021)“…This study focuses on the development of a new model that can be used not only to forecast the groundwater depth but also to quantify the uncertainty of…”
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16
A time-varying autoregressive model for groundwater depth prediction
Published in Journal of hydrology (Amsterdam) (01-10-2022)“…•A TVAR model is introduced to predict groundwater depth.•The implementation of parameter estimation of the TVAR model is summarized.•The TVAR exhibits better…”
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17
Chaos Analysis and Prediction of Monthly Runoff Using a Two-Stage Variational Mode Decomposition Framework
Published in Journal of hydrologic engineering (01-08-2024)“…AbstractVariational modal decomposition (VMD) has proven to be an effective technique for improving the accuracy of runoff prediction and has been widely used…”
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18
Nonlinear Segmental Runoff Ensemble Prediction Model Using BMA
Published in Water resources management (01-07-2024)“…In this study, a novel nonlinear segmental runoff ensemble forecast model based on the Bayesian model averaging (BMA) algorithm (NLTM-BMA m (P-III)) is…”
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19
Trimmed L-Moments of the Pearson Type III Distribution for Flood Frequency Analysis
Published in Water resources management (01-02-2023)“…Trimmed L-moments (TL-moments) can reduce the undesirable effects of small sample events when estimating large return period events. This study proposes a new…”
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20
A novel method of nonuniform phase space reconstruction for multivariate prediction of daily runoff
Published in Journal of hydrology (Amsterdam) (01-07-2024)“…•Proposed a nonuniform phase space reconstruction method for runoff prediction.•Revealed which predictors are crucial for improving the accuracy of daily…”
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