Hongping Zhang

ORCID: 0000-0003-0919-0536
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Water Systems and Optimization
  • Tropical and Extratropical Cyclones Research
  • Water resources management and optimization
  • Climate Change and Health Impacts
  • Safety and Risk Management
  • Air Quality and Health Impacts
  • Blood Coagulation and Thrombosis Mechanisms
  • Evacuation and Crowd Dynamics
  • Birth, Development, and Health
  • Environmental and Agricultural Sciences
  • Advanced Computational Techniques and Applications
  • Pregnancy and preeclampsia studies
  • Environmental Changes in China
  • Hemoglobinopathies and Related Disorders
  • Hydrological Forecasting Using AI
  • Urban Stormwater Management Solutions

China Institute of Water Resources and Hydropower Research
2021-2025

Ministry of Water Resources of the People's Republic of China
2022-2025

China National Commission for Disaster Reduction
2022-2025

Wenzhou Medical University
2023-2024

Clarkson University
2022

Jiangsu Institute of Meteorological Sciences
2006

Nanjing University of Information Science and Technology
2006

In recent years, the combined effects of rapid urbanization and climate change have led to frequent floods in urban areas. Rainstorm flood risk warning systems play a crucial role prevention mitigation. However, there has been limited research China on nationwide based rainfall predictions. This study constructs two-level early system (EWS) at national levels using two-dimensional hydrological–hydrodynamic model considering infiltration drainage standards. A methodology for rainstorm...

10.3390/su17052147 article EN Sustainability 2025-03-01

The joint flood control operation of reservoir groups is a complex engineering problem with large number constraints and interdependent decision variables. Its solution has the characteristics strong constraint, multi-stage, nonlinearity, high dimension. In order to solve this problem, paper proposes hybrid slime mold arithmetic optimization algorithm (HSMAAOA) combining stochastic reverse learning. Since ancient times, harnessing Yellow River been major event for Chinese nation rejuvenate...

10.3390/su15020933 article EN Sustainability 2023-01-04

To examine the associations between macrosomia risk and exposure to fine particulate matter (PM2.5) its chemical components during pregnancy, we collected birth records 2010 2015 in mainland China from National Free Preconception Health Examination Project used satellite-based models estimate concentrations of PM2.5 mass five main components, namely, black carbon (BC), organic (OC), nitrate (NO3–), sulfate (SO42–), ammonium (NH4+). Associations prenatal were examined by logistic regression...

10.1021/acs.est.3c03280 article EN Environmental Science & Technology 2023-07-26

Due to the existence of drainage networks, urban areas have formed their own hydrological mechanism. The pretreatment complex and elaborate network data has become a challenging step in building an model. This study proposes network-combing method based on potential outfall mechanism for system, analyzes topological structure underground network, generates subcatchment (SBPO). Two methods are constructed typical region Kunming, Yunnan Province, China. results show that: mechanisms can well...

10.3390/w14223732 article EN Water 2022-11-17

Background: The objective of this study was to extract maternal plasma D-dimer test results from a large medical records dataset and establish reference level for pregnant women in our center. This aimed investigate the role efficacy levels predicting complications high-risk women. Methods: clinical data 19,117 who delivered at Wenzhou People’s Hospital between January 1, 2020, September 30, 2022, were retrospectively analyzed. A total 74,401 extracted laboratory information system....

10.31083/j.ceog5111256 article EN cc-by Clinical and Experimental Obstetrics & Gynecology 2024-11-20
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