Hailong Wang

Prof. Dr. Hailong Wang

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2017 in Journal of Hydrology
Verified
Journal Article
Open access
PAPertti Ala-Aho
Pertti Ala-Aho
CSChris Soulsby
Chris Soulsby
HWHailong Wang
Hailong Wang
DTDoerthe Tetzlaff
Doerthe Tetzlaff
This work was funded by NERC/JPI SIWA project (NE/M019896/1) and the European Research Council ERC (project GA 335910 VeWa). Numerical simulations were performed using the Maxwell High Performance Computing Cluster of the University of Aberdeen IT Service, provided by Dell Inc. and supported by Alces Software. Aquanty Inc. is acknowledged for support in providing HGS simulation software compatible with the Maxwell High Performance Computing Cluster. We would also like to thank the anonymous reviewers for their constructive comments that improved the manuscript.Peer reviewedPublisher PD

23 July 2020 in Hydrology and Earth System Sciences
Verified
Journal Article
Open access
PDF file
LKLukas Kleine
Lukas Kleine
DTDoerthe Tetzlaff
Doerthe Tetzlaff
ASAaron Smith
Aaron Smith
HWHailong Wang
Hailong Wang
CSChris Soulsby
Chris Soulsby
In drought-sensitive lowland catchments, ecohydrological feedbacks to climatic anomalies can give valuable insights into ecosystem functioning in the context of alarming climate change projections. However, the dynamic influences of vegetation on spatio-temporal processes in water cycling in the critical zone of catchments are not yet fully understood. We used water stable isotopes to investigate the impacts of the 2018 drought on dominant soil–vegetation units of the mixed land use Demnitz Millcreek (DMC, north-eastern Germany) catchment (66 km2). The isotope sampling was carried out in conjunction with hydroclimatic, soil, groundwater, and vegetation monitoring. Drying soils, falling groundwater levels, cessation of streamflow, and reduced crop yields demonstrated the failure of catchment water storage to support “blue” (groundwater recharge and stream discharge) and “green” (evapotranspiration) water fluxes. We further conducted monthly bulk soil water isotope sampling to assess the spatio-temporal dynamics of water soil storage under forest and grassland vegetation. Forest soils were drier than the grassland, mainly due to higher interception and transpiration losses. However, the forest soils also had more freely draining shallow layers and were dominated by rapid young (age <2 months) water fluxes after rainfall events. The grassland soils were more retentive and dominated by older water (age >2 months), though the lack of deep percolation produced water ages >1 year under forest. We found the displacement of any “drought signal” within the soil profile limited to the isotopic signatures and no displacement or “memory effect” in d-excess over the monthly time step, indicating rapid mixing of new rainfall. Our findings suggest that contrasting soil–vegetation communities have distinct impacts on ecohydrological partitioning and water ages in the sub-surface. Such insights will be invaluable for developing sustainable land management strategies appropriate to water availability and building resilience to climate change.

1 June 2017 in Agricultural and Forest Meteorology
Verified
Journal Article
Open access
HWHailong Wang
Hailong Wang
DTDoerthe Tetzlaff
Doerthe Tetzlaff
JDJonathan J. Dick
Jonathan J. Dick
CSChris Soulsby
Chris Soulsby

10 July 2014 in Water Resources Research
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Journal Article
Open access
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HWHailong Wang
Hailong Wang
Huade GuanHuade Guan
Huade Guan
ZDZijuan Deng
Zijuan Deng
Craig SimmonsCraig Simmons
Craig Simmons
Canopy conductance (gc) is a critical component in hydrological modeling for transpiration estimate. It is often formulated as functions of environmental variables. These functions are climate and vegetation specific. Thus, it is important to determine the appropriate functions ingcmodels and corresponding parameter values for a specific environment. In this study, sap flow, stem water potential, and microclimatic variables were measured for three Drooping Sheoak (Allocasuarina verticillata) trees in year 2011, 2012, and 2014. Canopy conductance was calculated from the inversed Penman‐Monteith (PM) equation, which was then used to examine 36gcmodels that comprise different response functions. Parameters were optimized using the DiffeRential Evolution Adaptive Metropolis (DREAM) model based on a training data set in 2012. Use of proper predawn stem water potential function, vapor pressure deficit function, and temperature function improves model performance significantly, while no pronounced difference is observed between models that differ in solar radiation functions. The best model gives a correlation coefficient of 0.97, and root‐mean‐square error of 0.0006 m/s in comparison to the PM‐calculatedgc. The optimized temperature function shows different characteristics from its counterparts in other similar studies. This is likely due to strong interdependence between air temperature and vapor pressure deficit in the study area or Sheoak tree physiology. Supported by the measurements and optimization results, we suggest that the effects of air temperature and vapor pressure deficit on canopy conductance should be represented together.

1 September 2016 in Agricultural and Forest Meteorology
Verified
Journal Article
Open access
HWHailong Wang
Hailong Wang
Huade GuanHuade Guan
Huade Guan
Craig SimmonsCraig Simmons
Craig Simmons
Acknowledgements This study is part of the first author’s PhD projects in 2010–2014, co-funded by the National Centre for Groundwater Research and Training in Australia and the China Scholarship Council. We give thanks to Zijuan Deng and Xiang Xu for their assistance in the field. Constructive comments and suggestion from the anonymous reviewers are appreciated for significant improvement of the manuscript.Peer reviewedPostprin

1 March 2018 in Journal of Hydrology
Verified
Journal Article
Open access
HWHailong Wang
Hailong Wang
DTDoerthe Tetzlaff
Doerthe Tetzlaff
CSChris Soulsby
Chris Soulsby