Senior advisor/researcher on sediment transport and morphology | Representative of China
+31 88 33 57 919Qinghua.email@example.com LinkedIn profile
Dr. Ye, Qinghua has broad experience in the fields of sediment transport, morphology, and numerical modelling, including physical process-based modelling, numerical methods and corresponding solvers, high performance computing (HPC). He recently worked on projects on Building with Nature, where he developed an integrated tool considering the interaction of wind, surface water, vegetation, wave, sediment transport and groundwater for wetland systems.
He is also one of the developers of the world-leading 3D/2D modelling suite, Delft3D for integral water solutions. His PhD research focused on an integrated geomorphologic model system to study the effect of ecology/biology change on geomorphology in salt marshes and wetlands.
After a MSc degree on coastal engineering and sediment transport, he was employed in the renowned Nanjing Hydraulic Research Institute, China. In 2012, Dr Ye completed his PhD in Civil Technology and Geoscience from the Delft University of Technology and UNESCO-IHE.
In addition to numerous technical reports, depicting the results of the various projects involved, Dr Ye has authored and/or co-authored many papers on mentioned subjects at international conferences and in technical journals.
As Representative of China, Dr Ye is responsible for research cooperation, and commercial project development in the region.
|From 2010- present||Deltares||(Senior) Advisor/ Researcher, numerical modelling, sediment transport and morphology; Representative of China|
|2012||Delft University of Technology | UNESCO-IHE||PhD Civil Technology and Geoscience from the Delft University of Technology and UNESCO-IHE|
|From 2001 - 2004||Nanjing Hydraulic Research Institute, China||Engineer, project manager|
Harbour Area Treatment Scheme Stage 2A (HATS 2A) Post Project Monitoring – Water Quality Modelling and Assessment
Hong Kong, China, 2018 - present
Client: Hongkong SAR Environmental Protection Department
Main project features: The Harbour Area Treatment Scheme (HATS) is an overall sewage collection and treatment scheme for areas on both sides of Victoria Harbour to improve its water quality. Commissioned in 2015, HATS Stage 2A upgrades the preliminary treatment works around the northern and southern-western shore of Hong Kong Island and conveys the preliminarily treated sewage to Stonecutters Island Sewage Treatment Works.
This project, viz. "The Performance Verification of Discharge from Harbour Area Treatment Scheme Stage 2A Post Project Monitoring - Water Quality Modelling and Assessment" is a specific modelling and assessment exercise commission by EPD.
Positions held: project coordinator, technical reviewer
Activities performed: Initialization of the project objectives, methodology, data preparation and project inception, and will carry out technical review for model setting up, outcome of scenario modelling etc.
Shenzhen New Marine City Urban Design
Client: Urban Planning, Land & Resources Commission of Shenzhen Municipality
Main project features: Shenzhen New Marine City, about 7.44 km2, is located in the northwest of the Shenzhen Airport New Town. The site starts at the estuary of Maozhou River in the north, and the east part is in proximity to the International Exhibition Center. The south edge is close to the first phase of Bao’an comprehensive port area, and the west end is near Jiaoyi Sha. A comprehensive solution is requested. It should be both innovative and operable by considering from the perspectives of target and vision, overall structural design and functional layout, green and eco-friendly design, open space design, overall spatial form and cityscape design, and comprehensive traffic organization.
Positions held: Co-PI, modeller
Activities performed: Project obtaining, modelling approach definition, and hydrodynamic modelling.
Coping with Deltas in Transition
China, Netherlands, 2018-present
Client: MOST and KNAW
Main project features: The theme of the project is coping with deltas in transition, with the aim to understand the characteristics, processes and mechanisms of the deltas in transition, to predict possible ecological effects, and to put forward coping strategies. This project has been selected for the third phase by PSA since 2004 after joint assessment and selection. East China Normal University takes the lead in the project on the Chinese side, in cooperation with Tsinghua University, and Prof. Qing He is the Chinese principal investigator (PI). Prof. Zheng Bing Wang from the Delft University of Technology (TU Delft) is the Dutch PI of the project, with the Royal Netherlands Institute for Sea Research (NOIZ) and Deltares on the Dutch side as partner institutions.
Positions held: Researcher, modeller
Activities performed: Modelling and guidance of students
Sustainable Solutions for Managing Compound Flood Risks under Future Uncertainties: The Case of Shanghai city and the Yangtze River Delta Region
China, 2018 - present
Client: NSFC China, NWO the Netherlands and EPSRC UK
Main project features: In this project an integrated framework will be developed for flood risk assessment and management. Climate and flood modelling, damage and risk assessment, and decision making regarding risk reduction interventions will be integrated. Our research will focus on the risks of compound flood events in the Yangtze River Delta (YRD) region and their impacts in Shanghai city. We will identify vulnerabilities and adaptation approaches to cope with co-occurring extreme events, evaluate plausible mitigation and adaptation strategies across multiple dimensions for Shanghai, and propose sustainable pathways based on quantified performance of strategies (and strategy combinations) and systematic screening using Robust Decision Making (RDM) methodologies. In this way, the project integrates the research disciplines of geoscience, hydrology, social & economic science, and risk governance, and focuses on the knowledge gaps at the boundaries of these disciplines.
Given the fact that YRD Region and its heart, metropolitan Shanghai, are facing increasing challenges from climate change and sea level rise, it is crucial to pay attention to threats which may impact urban safety and socioeconomic development.
This project aims to address the following questions:
1. What are expected or plausible ranges of future extreme climate hazards (extreme temperature, precipitation, river and sea level) in the YRD Region? In particular, what is the joint possibility of extreme flood events from local rainfall, high tide, upstream flood and storm surge combined?
2. What are the direct flood losses in Shanghai and the indirect losses to industry, agriculture, manufacturing, and other economic sectors in a broad area of the YRD Region when faced with compound extreme events?
3. What are feasible strategies for climate change adaptation and flood risk reduction and to what extent are they able to perform well under plausible future scenarios?
4. What is an appropriate robust plan of strategy combinations and how do we sequence these strategies into the right order and pathways most effectively?
Positions held: Co-PI, project manager
Activities performed: Delft3D Flexible Mesh modelling tool to model tide/surge/river discharge/rainfall/wave, thus an integration of urban flooding and river flooding.
Also the innovative adaptive pathway approach for Robust Decision Making.
Multi-factor driven bio-morphodynamic evolution of silt-muddy tidal flats: mechanisms and modeling
China, Netherlands, 2017- present
Client: National Science Foundation of China
Main project features: The main research objectives are: (1) to explore the properties of the wide grading silt-muddy sediments; (2) to investigate the influence of the self-weight consolidation on the morphodynamic processes of the tidal flats and the coupling mechanism of hydrodynamics, morphodynamics and vegetation processes in salt marsh area; (3) to establish a numerical model on bio-morphodynamics of the silt-muddy tidal flats with consideration of multi-factors, such as wind, wave, current, sediment, and vegetation; (4) to predict the natural and human-influenced evolution of the tidal flat system.
Positions held: Co-PI
Activities performed: Development of the multi-factor driven morphodynamic model.
Deep Bay training workshop
Hong Kong, 2017
Client: Hong Kong EPD
Main project features: Deliverery the research findings. and explaining the development of the Deep Bay hydrodynamic model, which provides adequate input to the envisaged water quality model.
Positions held: Advisor
Activities performed: Highlighting main features of Delft3D, explaining how Deltares carried out the project in steps:
Analysis monitoring data; setting up of the Deep Bay hydrodynamic model, forced by a larger-scale hydrodynamic model encompassing the Pearl River Estuary and a part of the South China Sea. Explaining the conclusions and recommendations.
Hydrodynamic characteristics of drink water sources of upstream Huangpu River using new allocation/connection design of original nature water resources
Client: Shanghai Municipal Commission of Health and Family planning
Main project features: Reservoirs usually serve as drinking water resource for mega cities. However water quality degradation and eutrophication in reservoirs gain more attention. This study focuses on the reservoir water quality response to the new allocation/connection design of water pipeline system and open surface water (taking Shanghai Jinze reservoir and upstream of Huangpu River as an example).
Positions held: Principal investigator, project manager
Activities performed: Definition of research objectives, methodology, modelling approach, and definition of scenarios, result analysis and drawing conclusions.
Tendency of and Measures for Regional Water Security in the Process of Urbanization --- Taking Taihu Lake as an Example
China, 20156- present
Client: China MOST, Taihu Basin Administrative, NHRI
Main project features: to study the water energy nexus using an advanced modeling approach. Delft3D Flexible Mesh Suite 2016 is used to assess the effects on the water system and environment under different water-energy nexus scenarios.
Positions held: Principal investigator, project manager
Activities performed: The core of this work consists of building a modelling framework for the Taihu Basin, based on the recently developed Delft3D Flexible Mesh Suite 2016 (Delft3D-FM). Delft3D-FM is an innovative new modelling system that runs a finite volume method on the combination of 2D/3D grids and 1D flow networks in a single model. Since the application of unstructured grids offers great advantages in fitting complex model domains and landscapes by applying combinations of linear, triangular, quadrilateral and hexagonal cell shapes, it can combine the river networks and Taihu Lake itself and do the hydrodynamic and water quality simulations in one single model system. The simulation results can be viewed as 3D images of the landscape. This will show decision makers, including non-water specialists, the impact of their ideas in various scenarios.
Future Climate Change and Urbanization Impact on Coastal Storm Surge Risk in the Pearl River Delta Region, China
Client: Universität Hamburg
Main project features: The Pearl River Delta (PRD) region is one of the most rapidly developing coastal areas in China. Due to its low-lying geography and frequent typhoon attacks, coastal inundation risk induced by storm surge becomes the major threaten and the leading cause of death and injury affecting the PRD region. Changes in the Pearl River discharge, typhoon activities and sea level due to climate change, together with rapid socio-economic development is expected further exacerbate this risk exposure. This research aims 1) to explore the estuarine hydrodynamics using Delft3D Flexible Mesh. 2) quantitative assessments on the risk of typhoon-induced storm tide and coastal inundation with three climate scenarios (basic, RCP4.5 and RCP8.5). 9 modelling scenarios based on 3 typhoon cases (Utor, Dujuan, Haqupit) are used to explore the future climate change impact (river discharge, SST rise and SLR) on the coastal storm tide and inundation area in the PRD region. 3) from land use we examined the coastal inundation risk under urbanization and climate change scenarios. Overall, the research findings will be helpful for coastal protection and spatial planning in the Pearl River Delta region.
Positions held: Co-PI
Activities performed: Definition research questions, supervision of modelling.
Tidal wave propagation along The Mekong deltaic coast
2019: Hung Phan, Qinghua Ye, Ad J.H.M. Reniers, Marcel Stive,Tidal wave propagation along The Mekong deltaic coast,Estuarine, Coastal and Shelf Science DOI: 10.1016/j.ecss.2019.01.026
Horizontal Circulation Patterns in a Large Shallow Lake: Taihu Lake, China
2018: Sien Liu,Qinghua Ye,Shiqiang Wu,Marcel Stive,Horizontal Circulation Patterns in a Large Shallow Lake: Taihu Lake, China,Water DOI: 10.3390/w10060792
Estuarine Mangrove Squeeze in the Mekong Delta, Vietnam
2017: Son Hong Truong, Qinghua Ye, and Marcel J.F. Stive,Estuarine Mangrove Squeeze in the Mekong Delta, Vietnam,Journal of Coastal Research, Volume 33 Issue 4. https://doi.org/10.2112/JCOASTRES-D-16-00087.1 16
Spatial identification of critical nutrient loads of large shallow lakes: Implications for Lake Taihu (China)
2017: Annette B.G. Janssena,, Victor C.L. de Jager, Jan H. Janse, Xiangzhen Kong,Sien Liu, Qinghua Ye, Wolf M. Mooij,Spatial identification of critical nutrient loads of large shallow lakes: Implications for Lake Taihu (China),Water Research DOI: 10.1016/j.watres.2017.04.045
Estuarine Mangrove Squeeze in the Mekong Delta, Vietnam
2017: Truong Hong Son, Qinghua Ye, Marcel Stive,Estuarine Mangrove Squeeze in the Mekong Delta, Vietnam,Journal of Coastal Research DOI: 10.2112/JCOASTRES-D-16-00087.1 747-763
Numerical simulation of temperature stratification in a deep reservoir using Delft3D
2016: YANG Zhi, YE Qinghua, WANG Cheng, SHUI Yan, LI Lihua, MIAO Xinhui,Numerical simulation of temperature stratification in a deep reservoir using Delft3D. ,EIA, 2016 (in Chinese) DOI: 10.14068/J.ceia.2016.04.013 38(4)
Numerical simulation of water salinity change process in the coastal reservoir under the influence of sediment Salt
2015: YE Qinghua, LI Yu, WANG Wen, YANG Yun, Numerical simulation of water salinity change process in the coastal reservoir
under the influence of sediment Salt Release, Journal of Hohai University(Natural
A one-dimensional biomorphodynamic model of tidal flats: Sediment sorting, marsh distribution and carbon accumulation under sea level rise
2015: Zeng Zhou, Qinghua Ye, Giovanni Coco ,A one-dimensional biomorphodynamic model of tidal flats: Sediment sorting, marsh distribution and carbon accumulation under sea level rise,Advances in Water Resources doi:10.1016/j.advwatres.2015.10.011
Impacts of salt marsh plants on tidal channel initiation and inheritance
2014: Schwarz, C., Qinghua YE, D. van der Wal, L. Q. Zhang, T. Bouma, T. Ysebaert, and P. M. J. Herman ,Impacts of salt marsh plants on tidal channel initiation and inheritance, J. Geophysical Research. Earth Surface,J. Geophysical Research. Earth Surface 119 doi:10.1002/2013JF002900
Bedload transport direction induced by bed form orientation: Large scale modelling,Advances in River Sediment Research
2013: S. Giri, Qinghua YE & A. Talmon, D. Weij, A. Sieben,Bedload transport direction induced by bed form orientation: Large scale modelling,Advances in River Sediment Research – Fukuoka et al. (eds) © 2013 Taylor & Francis Group, London ISBN 978-1-138-00062-9