Songbai Song

ORCID: 0000-0003-1746-5288
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About
Contact & Profiles
Research Areas
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Hydrological Forecasting Using AI
  • Water resources management and optimization
  • Environmental and Agricultural Sciences
  • Research studies in Vietnam
  • Evaluation Methods in Various Fields
  • Environmental Changes in China
  • Precipitation Measurement and Analysis
  • Energy Load and Power Forecasting
  • Meteorological Phenomena and Simulations
  • Plant Water Relations and Carbon Dynamics
  • Flood Risk Assessment and Management
  • Water-Energy-Food Nexus Studies
  • Climate change impacts on agriculture
  • Grey System Theory Applications
  • Chaos control and synchronization
  • Soil and Unsaturated Flow
  • Probabilistic and Robust Engineering Design
  • Environmental Quality and Pollution
  • Soil erosion and sediment transport
  • Tree-ring climate responses
  • Water Systems and Optimization
  • Remote Sensing and Land Use

Northwest A&F University
2015-2025

Education Northwest
2025

Ministry of Education of the People's Republic of China
2022

Institute of Soil and Water Conservation
2019

Dalian University of Technology
2013

Chinese Academy of Sciences
2012

Institute of Mountain Hazards and Environment
2012

Nanjing Hydraulic Research Institute
2011

Cicatelli Associates
2005

10.1007/s00477-009-0331-1 article EN Stochastic Environmental Research and Risk Assessment 2009-07-16

10.1007/s00477-010-0364-5 article EN Stochastic Environmental Research and Risk Assessment 2010-02-01

Abstract This study aims to investigate the changing properties of drought events in Weihe River basin, China, by modeling multivariate joint distribution duration, severity and peak using trivariate Gaussian Student t copulas. Monthly precipitations Xi'an gauge are used illustrate meta‐elliptical copula‐based methodology for a single‐station application. copulas found produce better fit comparing with other six symmetrical asymmetrical Archimedean copulas, and, checked goodness‐of‐fit tests...

10.1002/hyp.8432 article EN Hydrological Processes 2011-11-28

Abstract Compound dry and hot events (CDHEs) have increased significantly caused agricultural losses adverse impacts on human health. It is thus critical to investigate changes in CDHEs population exposure responding climate change. Based the simulations of Coupled Model Intercomparison Project Phase 6 (CMIP6), future are estimated under four Shared Socioeconomic Pathways scenarios (SSPs) at first. And then driving forces behind these analyzed discussed. The results show that occurrence...

10.1029/2022ef003015 article EN cc-by-nc-nd Earth s Future 2022-10-25

Abstract Global warming has intensified the intensity of compound drought‐hot extremes (CDHEs), posing more severe impacts on human societies and ecosystems than individual extremes. The vulnerability global terrestrial under CDHEs, along with its key influencing factors, remains poorly understood. Based multiple remote sensing data, we construct a Vine Copula model to appraise vegetation attribute it climatic biotic factors for five different types. High is detected in central southern...

10.1029/2024gl108396 article EN cc-by Geophysical Research Letters 2024-05-18

In drought frequency analysis, as the number of variables increases, joint behavior between these needs to be studied. Therefore, this study aims develop a flexible four-variate distribution function regional stochastic nature drought. Using run theory, duration, severity, peak, and inter-arrival time were abstracted from Standardized Precipitation Evapotranspiration Index (SPEI) aggregated at six months, observed in mainland China 1961 2013. As showed significant dependence properties...

10.1007/s11269-018-2090-6 article EN cc-by Water Resources Management 2018-10-25

Extreme precipitation events usually lead to economic, agricultural, and social losses globally. The bias of different global circulation models (GCMs) is a major challenge in the projection extreme climate regions. Revealing Coupled Model Intercomparison Project (CMIP) GCMs helpful for providing reference predicting understanding performance CMIP Phase 6 (CMIP6) GCMs. Eight indices were used describe based on daily data retrieved from Global Precipitation Climatology (GPCP) 19 CMIP6 Six...

10.1007/s11069-024-06850-4 article EN cc-by-nc-nd Natural Hazards 2024-08-20

Abstract Extreme precipitation events vary with different sub-regions, sites and years show complex characteristics. In this study, the temporal variations, trends significance change points in annual time series of 10 extreme indices (EPIs) at 552 seven sub-regions were analyzed using modified Mann–Kendall test sequential analysis. Three representative (extremely wet, normal extremely dry) from 1961 to 2017 selected by largest, 50%, smallest empirical frequency values China. The...

10.2166/nh.2020.095 article EN cc-by Hydrology Research 2020-03-17

The precipitation in irrigation area and the runoff from upstream can reflect natural irrigated agriculture water supply situations. wetness–dryness encounter uncertainty of runoff, affected by different microclimate basin, lead to potential risk reservoir dispatching, which poses a threat food security. This study develops an innovative integrated modeling framework coupling Copula joint distribution multi–objective optimal operation model, multi–criteria decision–making CECG–VIKOR method...

10.1016/j.agwat.2022.108091 article EN cc-by-nc-nd Agricultural Water Management 2022-12-07

Weihe River Basin of China In recent decades, changing environments destroyed the natural structure streamflow, making accurate streamflow prediction challenging. This study develops a multi-regime Markov-switching Generalized Autoregressive Conditional Heteroskedasticity (MS-GARCH) model to predict daily time series with structural breaks (SB), named ARIMA (Autoregressive Integrated Moving Average)-MS-GARCH model. Consequently, ARIMA-MS-GARCH is compared other classical single-regime...

10.1016/j.ejrh.2023.101374 article EN cc-by-nc-nd Journal of Hydrology Regional Studies 2023-04-10
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