Yi He

@article{2011,

title = {Risks associated with global warming of 1.5 or 2C},

author = {R Warren and O Andrews and S Brown and N Forstenhaeusler and D Gernaat and P Goodwin and I Harris and Y He and C Home and FJ Colón-González and R Nicholls and T Osborn and J Price and D Van Vuuren and R Wright},

year  = {2018},

date = {2018-01-01},

publisher = {Tyndall Centre Briefing Note},

abstract = {<p>This Briefing Note summarises research examining the risks associated with global warming of 1.5<strong>textdegree</strong>C and 2<strong>textdegree</strong>C funded by the UK department for Business, Energy and Industrial Strategy (BEIS) undertaken by researchers at the Tyndall Centre.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2071,

title = {Impacts of climate change on TN load and its control in a River Basin with complex pollution sources},

author = {X Yang and R Warren and Y He and J Ye and Q Li and L Li and G Wang},

url = {https://www.sciencedirect.com/science/article/pii/S0048969717326396},

doi = {10.1016/j.scitotenv.2017.09.288},

year  = {2018},

date = {2018-01-01},

journal = {Science of the Total Environment},

volume = {615},

pages = {1155-1163},

chapter = {1155},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{583b,

title = {Modelling climate impact on floods with ensemble climate projections},

author = {H Cloke and F Wetterhall and Y He and J Freer and F Pappenberger},

year  = {2013},

date = {2013-01-01},

journal = {Quarterly Journal of the Royal Meteorological Society},

volume = {139},

pages = {282-297},

chapter = {282},

abstract = {<p>The evidence provided by modelled assessments of future climate impact on flooding is fundamental to water resources and flood risk decision making. Impact models usually rely on climate projections from global and regional climate models (GCM/RCMs). However, challenges in representing precipitation events at catchment-scale resolution mean that decisions must be made on how to appropriately pre-process the meteorological variables from GCM/RCMs. Here the impacts on projected high flows of differing ensemble approaches and application of Model Output Statistics to RCM precipitation are evaluated while assessing climate change impact on flood hazard in the Upper Severn catchment in the UK. Various ensemble projections are used together with the HBV hydrological model with direct forcing and also compared to a response surface technique. We consider an ensemble of single-model RCM projections from the current UK Climate Projections (UKCP09); multi-model ensemble RCM projections from the European Union&$#$39;s FP6 &$#$39;ENSEMBLES&$#$39; project; and a joint probability distribution of precipitation and temperature from a GCM-based perturbed physics ensemble. The ensemble distribution of results show that flood hazard in the Upper Severn is likely to increase compared to present conditions, but the study highlights the differences between the results from different ensemble methods and the strong assumptions made in using Model Output Statistics to produce the estimates of future river discharge. The results underline the challenges in using the current generation of RCMs for local climate impact studies on flooding. © 2012 Royal Meteorological Society.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{1148,

title = {Assessment of a 1-hour gridded precipitation dataset to drive a hydrological model: A case study of the summer 2007 floods in the upper severn, UK},

author = {BL Parkes and F Wetterhall and F Pappenberger and Y He and BD Malamud and H Cloke},

isbn = {00291277},

year  = {2013},

date = {2013-01-01},

journal = {Hydrology Research},

volume = {44},

pages = {89-105},

chapter = {89},

abstract = {<p>In this study a gridded hourly 1-km precipitation dataset for a meso-scale catchment (4,062 km2) of the Upper Severn River, UK was constructed using rainfall radar data to disaggregate a daily precipitation (rain gauge) dataset. The dataset was compared to an hourly precipitation dataset created entirely from rainfall radar data. Results found that when assessed against gauge readings and as input to the Lisflood-RR hydrological model, the rain gauge/radar disaggregated dataset performed the best suggesting that this simple method of combining rainfall radar data with rain gauge readings can provide temporally detailed precipitation datasets for calibrating hydrological models. © IWA Publishing 2013.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{456,

title = {Coupling Ensemble weather predictions based on TIGGE database with Grid-Xinanjiang model for flood forecast},

author = {HJ Bao and LN Zhao and Y He and ZJ Li and F Wetterhall and H Cloke and F Pappenberger and D Manful and LL Wang},

isbn = {16807340},

year  = {2012},

date = {2012-01-01},

journal = {Advances in Geosciences},

volume = {29},

pages = {61-67},

chapter = {61},

abstract = {<p>The incorporation of numerical weather predictions (NWP) into a flood forecasting system can increase forecast lead times from a few hours to a few days. A single NWP forecast from a single forecast centre, however, is insufficient as it involves considerable non-predictable uncertainties and lead to a high number of false alarms. The availability of global ensemble numerical weather prediction systems through the THORPEX Interactive Grand Global Ensemble&$#$39; (TIGGE) offers a new opportunity for flood forecast. The Grid-Xinanjiang distributed hydrological model, which is based on the Xinanjiang model theory and the topographical information of each grid cell extracted from the Digital Elevation Model (DEM), is coupled with ensemble weather predictions based on the TIGGE database (CMC, CMA, ECWMF, UKMO, NCEP) for flood forecast. This paper presents a case study using the coupled flood forecasting model on the Xixian catchment (a drainage area of 8826 km^{2}) located in Henan province, China. A probabilistic discharge is provided as the end product of flood forecast. Results show that the association of the Grid-Xinanjiang model and the TIGGE database gives a promising tool for an early warning of flood events several days ahead. © 2011 Author(s).</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{b4785fe42aea4bc6a0f53e8769b4ebce,

title = {A catchment classification scheme using local variance reduction method},

author = {Y He and A Bárdossy and E Zehe},

doi = {10.1016/j.jhydrol.2011.09.042},

issn = {1879-2707},

year  = {2011},

date = {2011-12-06},

journal = {Journal of Hydrology},

volume = {411},

number = {1-2},

pages = {140–154},

publisher = {Elsevier},

abstract = {Classification has been considered a fundamental step towards improved catchment hydrology science. This paper proposes a catchment classification scheme where the classification procedure is based on similarity interpreted as distances between catchments. If many sets of model parameters lead to similar model performance for two catchments, they are considered as similar catchments. Two procedures, namely multidimensional scaling (MDS) and local variance reduction (LVR), are undertaken to construct a configuration of n catchments’ characteristics in a Euclidean space using information about similar performance between the catchments. MDS is used to determine the appropriate dimension of the Euclidean space and LVR is used to obtain the transformation matrix and the coordinates in the transformed Euclidean space. This scheme avoids the idea of parametric regression-based regionalization approaches where a regression function is pre-defined between model parameters and catchment characteristics. The proposed scheme is tested with a research version of the HBV-IWS model on a total number of 27 catchments selected from the Rhine River Basin. The scheme can be extended to regional calibration of rainfall runoff models as well as regional drought or flood studies once similarity within catchments has been established.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{805,

title = {The role of catchment classification in rainfall-runoff modeling},

author = {Y He and A Bárdossy and E Zehe},

isbn = {18122108},

year  = {2011},

date = {2011-01-01},

journal = {Hydrology and Earth System Sciences Discussions},

volume = {8},

pages = {6113-6153},

chapter = {6113},

abstract = {<p>A sound catchment classification scheme is a fundamental step towards improved catchment hydrology science and prediction in ungauged basins. Two categories of catchment classification methods are presented in the paper. The first one is based directly on physiographic properties and climatic conditions over a catchment and regarded as a Linnaean type or natural classification scheme. The second one is based on numerical clustering and regionalization methods and considered as a statistical or arbitrary classification scheme. This paper reviews each category including what has been done since recognition of the intrinsic value of catchment classification, what is being done in the current research, as well as what is to be done in the future. © 2011 Author(s).</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{807,

title = {A review of regionalisation for continuous streamflow simulation},

author = {Y He and A Bárdossy and E Zehe},

isbn = {10275606},

year  = {2011},

date = {2011-01-01},

journal = {Hydrology and Earth System Sciences},

volume = {15},

pages = {3539-3553},

chapter = {3539},

abstract = {<p>Research on regionalisation in hydrology has been constantly advancing due to the need for prediction of streamflow in ungauged catchments. There are two types of studies that use regionalisation techniques for ungauged catchments. One type estimates parameters of streamflow statistics, flood quantiles in most cases. The other type estimates parameters of a rainfall-runoff model for simulating continuous streamflow or estimates continuous streamflow without using a model. Almost all methods applied to the latter can be applied to the former. This paper reviews all methods that are applied to continuous streamflow estimation for ungauged catchments. We divide them into two general categories: (1) distance-based and (2) regression-based. Methods that fall within each category are reviewed first and followed with a discussion on merits or problems associated with these various methods. © Author(s) 2011.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{1146,

title = {Fixed-event analysis: A forecastertextquoterights approach to analysing hydro-meteorological forecast systems},

author = {F Pappenberger and K Bogner and F Wetterhall and Y He and H Cloke},

year  = {2011},

date = {2011-01-01},

journal = {Advances in Geosciences},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{1390,

title = {Effects of temporal resolution of input precipitation on the performance of hydrological forecasting},

author = {F Wetterhall and Y He and H Cloke and F Pappenberger},

year  = {2011},

date = {2011-01-01},

journal = {Advances in Geosciences},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{808,

title = {Ensemble forecasting using TIGGE for the July-September 2008 floods in the Upper Huai catchment - a case study},

author = {Y He and F Wetterhall and Hongjun Bao and H Cloke and Zhijia Li and F Pappenberger and Yuzhong Hu and D Manful and Yingchun Huang},

url = {http://news.nmpi.net/documents/2008UpperHuaiFlood_ASL.pdf},

year  = {2010},

date = {2010-04-01},

journal = {ATMOSPHERIC SCIENCE LETTERS},

volume = {11},

publisher = {Wiley InterScience},

chapter = {132-138},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{809,

title = {Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions},

author = {Y He and F Wetterhall and H Cloke and F Pappenberger and Matt Wilson and Jim Freer and Glenn McGregor},

url = {http://www.nmpi.net/wiki/images/3/34/TIGGE_HE_et_al2009.pdf},

year  = {2009},

date = {2009-01-01},

journal = {METEOROLOGICAL APPLICATIONS},

volume = {16},

number = {1},

publisher = {Wiley InterScience},

chapter = {91-101},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{618,

title = {Comparison of model performance using different representations of spatial variability},

author = {Tapash Das and A Bárdossy and E Zehe and Y He},

url = {http://www.nmpi.net/wiki/images/8/87/Das2008.pdf},

year  = {2008},

date = {2008-01-01},

journal = {JOURNAL OF HYDROLOGY},

volume = {356},

chapter = {106-118},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2c6e922cea47430681cb01597f6bc5ce,

title = {Fuzzy logic based de-noising of ultrasound signals from non-destructive testing},

author = {Y He and D Manful and A Bardossy and G Dill-Langer and T Ringger and S Aicher},

year  = {2004},

date = {2004-01-01},

journal = {Otto-Graf-Journal},

volume = {15},

pages = {103–119},

abstract = {The paper reports on different methods of ultrasound signal de-noising. The reduction of noise is especially important for the evaluation of ultrasound transmission measurements in highly damping materials such as wood and glued laminated timber (glulam). In order to enable a reliable identification of characteristic signal parameters (such as time-of-flight or first amplitude) the poor signal to noise ratios (SNR) of ultrasound signals have to be improved by filtering methods. Conventional methods such as multiple signals averaging are used at the expense of huge data requirement, time consuming measurement procedures and signal processing. As an alternative approach in this paper a fuzzy logic based adaptive filter is applied for de-nosing in an attempt to use a lower number of experiments, i.e. to minimize data requirements. The results are compared to those of the conventional multiple signal averaging and of a moving average filter. Preliminary results demonstrate the feasibility of the application of the fuzzy filter and clearly illustrate its advantages as well as shortcomings over the conventional approach. The presented approach is one step towards the goal of real-time nondestructive testing (NDT) inspection of glulam beams by means of ultrasound methods.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{810,

title = {Fuzzy Logic Based De-Noising of Ultrasound Signals from Non-Destructive Testing},

author = {Y He and D Manful and A Bárdossy and Gerhard Dill-Langer and Thomas Ringger and Simon Aicher},

url = {http://www.mpa.uni-stuttgart.de/publikationen/otto_graf_journal/ogj_2004/beitrag_he.pdf},

year  = {2004},

date = {2004-01-01},

journal = {OTTO-GRAF-JOURNAL},

volume = {15},

keywords = {},

pubstate = {published},

tppubtype = {article}

}