World's Best Scientists 2026 revealed!
Shenglian Guo

Shenglian Guo

D-Index & Metrics

Earth Science

D-Index
62
Citations
12654
World Ranking
1700
National Ranking
104

Overview

Shenglian Guo is affiliated with Wuhan University in China and specializes in Environmental Science. Their research spans a range of subfields including Global and Planetary Change, Water Science and Technology, Ocean Engineering, Environmental Engineering, and Atmospheric Science.

The scientist's work covers various main topics such as Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Hydrology and Drought Analysis, Climate Variability and Models, Water Resources Management and Optimization, Hydrological Forecasting Using AI, and Water-Energy-Food Nexus Studies.

Shenglian Guo has frequently published in several academic journals, notably:

  • Journal of Hydrology
  • Water
  • Hydrology and Earth System Sciences
  • Hydrology Research
  • Journal of Water Resources Planning and Management

Collaborations are a significant component of Guo's research, with regular co-authorship alongside Jiabo Yin, Chong-Yu Xu, Yanlai Zhou, Hua Chen, and Jie Chen.

Recent publications include:

  • Future socio-ecosystem productivity threatened by compound drought-heatwave events, 2023, Nature Sustainability
  • Toward Monitoring Short-Term Droughts Using a Novel Daily Scale, Standardized Antecedent Precipitation Evapotranspiration Index, 2020, Journal of Hydrometeorology
  • A standardized index for assessing sub-monthly compound dry and hot conditions with application in China, 2021, Hydrology and Earth System Sciences
  • Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling, 2020, Journal of Hydrology
  • Does the Hook Structure Constrain Future Flood Intensification Under Anthropogenic Climate Warming?, 2021, Water Resources Research

Best Publications

  • Large increase in global storm runoff extremes driven by climate and anthropogenic changes.

    Jiabo Yin;Jiabo Yin;Pierre Gentine;Sha Zhou;Sylvia C. Sullivan

  • Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang basin

    Hua Chen;Shenglian Guo;Chong-yu Xu;Chong-yu Xu;Vijay P. Singh

  • Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff

    Hua Chen;Hua Chen;Chong-Yu Xu;Chong-Yu Xu;Shenglian Guo

  • Future socio-ecosystem productivity threatened by compound drought–heatwave events

    Unknown

  • Mechanisms of lead biosorption on cellulose/chitin beads

    Dao Zhou;Lina Zhang;Shenglian Guo

  • Separating the impacts of climate change and human activities on runoff using the Budyko-type equations with time-varying parameters

    Cong Jiang;Lihua Xiong;Dingbao Wang;Pan Liu

  • Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty

    Xiang Li;Shenglian Guo;Pan Liu;Guiya Chen

  • A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China

    Shenglian Guo;Jinxing Wang;Lihua Xiong;Aiwen Ying

  • Scenario-based projections of future urban inundation within a coupled hydrodynamic model framework: A case study in Dongguan City, China

    Xushu Wu;Xushu Wu;Zhaoli Wang;Shenglian Guo;Weilin Liao

  • Optimizing utility-scale photovoltaic power generation for integration into a hydropower reservoir by incorporating long- and short-term operational decisions

    Bo Ming;Pan Liu;Shenglian Guo;Xiaoqi Zhang

  • Optimal design of seasonal flood limited water levels and its application for the Three Gorges Reservoir

    Pan Liu;Liping Li;Shenglian Guo;Lihua Xiong

  • Trend test and change-point detection for the annual discharge series of the Yangtze River at the Yichang hydrological station / Test de tendance et détection de rupture appliqués aux séries de débit annuel du fleuve Yangtze à la station hydrologique de Yichang

    Lihua Xiong;Shenglian Guo

  • A two-parameter monthly water balance model and its application

    Lihua Xiong;Shenglian Guo

  • Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula

    Cong Jiang;Lihua Xiong;Chong-Yu Xu;Chong-Yu Xu;Shenglian Guo

  • Return period and risk analysis of nonstationary low-flow series under climate change

    Tao Du;Lihua Xiong;Chong-Yu Xu;Chong-Yu Xu;Christopher J. Gippel

  • Toward Monitoring Short-Term Droughts Using a Novel Daily Scale, Standardized Antecedent Precipitation Evapotranspiration Index

    Jun Li;Zhaoli Wang;Xushu Wu;Chong-Yu Xu

  • A standardized index for assessing sub-monthly compound dry and hot conditions with application in China

    Jun Li;Zhaoli Wang;Xushu Wu;Jakob Zscheischler;Jakob Zscheischler;Jakob Zscheischler

  • Drought Analysis Using Copulas

    Unknown

  • Long-term complementary operation of a large-scale hydro-photovoltaic hybrid power plant using explicit stochastic optimization

    He Li;Pan Liu;Shenglian Guo;Bo Ming

  • Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts

    Yanlai Zhou;Yanlai Zhou;Yanlai Zhou;Shenglian Guo;Fi-John Chang

  • Trend test and change-point detection for the annual discharge series of the Yangtze River at the Yichang hydrological station

    Lihua Xiong;Shenglian Guo

  • Incorporating ecological requirement into multipurpose reservoir operating rule curves for adaptation to climate change

    Yanlai Zhou;Shenglian Guo

  • Drought Analysis Using Copulas

    Lu Chen;Vijay P. Singh;Shenglian Guo;Ashok K. Mishra

  • Copula-based method for multisite monthly and daily streamflow simulation

    Lu Chen;Lu Chen;Vijay P. Singh;Shenglian Guo;Jianzhong Zhou

  • Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs

    Pan Liu;Shenglian Guo;Xiaowei Xu;Jionghong Chen

  • Uncertainties in assessing hydrological drought using streamflow drought index for the upper Yangtze River basin

    Xingjun Hong;Shenglian Guo;Yanlai Zhou;Lihua Xiong

Frequent Co-Authors

Chong-Yu Xu
Chong-Yu Xu North China University of Water Conservancy and Electric Power
Pan Liu
Pan Liu Shanghai Jiao Tong University
Fi-John Chang
Fi-John Chang National Taiwan University
Vijay P. Singh
Vijay P. Singh Texas A&M University
Lei Cheng
Lei Cheng Wuhan University
Jakob Zscheischler
Jakob Zscheischler Helmholtz Centre for Environmental Research
Dingbao Wang
Dingbao Wang University of Central Florida
Quanxi Shao
Quanxi Shao Commonwealth Scientific and Industrial Research Organisation
Jianzhong Zhou
Jianzhong Zhou Huazhong University of Science and Technology
Sha Zhou
Sha Zhou Columbia University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Earth Science in the USA opens doors to a variety of related online degrees and career pathways that cater to diverse interests and life stages. For veterans seeking to expand their skills, pursuing an online spanish bachelor degree for veterans can enhance communication abilities, especially useful in global environmental projects.

Creative professionals interested in environmental storytelling or scientific communication might consider mfa online programs, which develop strong writing and artistic skills. These complement analytical Earth Science expertise in unique ways.

For those drawn to managing teams and resources, online masters programs in human resource management provide essential leadership skills that can be applied in environmental organizations and research institutions.

Additionally, lifelong learners and seniors exploring new interests can benefit from opportunities like open university free courses for over 60s, which offer accessible education to engage with Earth Science topics at any age.

Best Scientists Citing Shenglian Guo

Trending Scientists