孫勛(華東師範大學地理科學學院研究員)

孫勛，男，華東師範大學地理科學學院研究員，主要研究方向為統計建模，洪水、暴雨頻率分析等。

基本介紹

• 中文名：孫勛
• 職業：教師
• 專業方向：統計建模、洪水、暴雨頻率分析、氣候風險、不確定性分析
• 任職院校：華東師範大學地理科學學院
• 職稱：研究員

個人經歷

哥倫比亞大學客座副研究員

雜誌編輯

Hydrological Sciences Journal編輯(Associate Editor),2019-2021

專業期刊審稿人

擔任Water Resources Research, Journal of Hydrology, Hydrology and Earth System Sciences, Advances in Water Resources, Journal of Geophysical Research (Atmospheres), Earth's Future, Climatic Change等雜誌審稿人。

研究方向

統計建模；洪水、暴雨頻率分析；氣候風險；不確定性分析；極端天氣水文事件與極值理論

學術成果

科研項目

- 上海市浦江人才計畫，A類，2017/8-2019/8，主持

- 美國自然科學基金(NSF), America's Water - The changing landscape of risk, competing demands and climate， 2014-2018，參加

專著

·Renard, B.,Sun, X., and Lang, M. (2013), Bayesian Methods for Non-stationary Extreme Value Analysis, inExtremes in a Changing Climate: Detection, Analysis and Uncertainty, edited by A. AghaKouchak, D. Easterling, K. Hsu, S. Schubert and S. Sorooshian, pp. 39-95, Springer Netherlands.

期刊論文

·Wang, S.,Sun, X*, Lall, U.,(2017),A hierarchical Bayesian regression model for predicting summer residential electricity demand across the U.S.A.Energy, 140, 601-611.

·Yuan, X.,Sun, X, Zhao, W., Mi, Z., Wang, B.,Wei, Y.*(2017),Forecasting China’s regional energy demand by 2030: A Bayesian approach,Resources Conservation and Recycling, 127, 85-95.

·Morón, S., Amos, K., Edmonds, D.A., Payenberg, T.,Sun, X., Thyer, M. (2017), Avulsion triggering by El Niño-Southern Oscillation and tectonic forcing on the tropical Magdalena River, Colombia, The Geological Society of America Bulletin.

·Ho, M., Lall, U.,Sun, X., Cook, E. (2017), Multiscale temporal variability and regional patterns in 555 year of conterminous US streamflow, Water Resources Research, 53, 3047–3066.

·Zeng, H.,Sun X.*, Lall, U., Fang, P. (2017), Extreme rainfall and flood predictions for Xidayang Reservoir in North China using climate informed Bayesian approaches, International Journal of Climatology,37: 3810–3820.

·Yuan, X.,Sun, X, Lall, U., Mi, Z., He, J., Wei, Y. (2016), China’s socioeconomic damage risk from extreme events in a changing climate: a hierarchical Bayesian model,Climatic Change, 139(2): 169-181.

·Sun, X.*, Renard, B., Thyer, M., Westra S., Lang, M. (2015), A global analysis of the asymmetric effect of ENSO on extreme precipitation, Journal of Hydrology, Volume 530, November 2015, Pages 51-65.

·Sun, X.*, Lall, U., Merz, B., Dung, N.V. (2015), Hierarchical Bayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in Germany. Water Resources Research, 51(8), 6586–6601.

·Sun, X.*, Lall, U. (2015), Spatially coherent trends of annual maximum daily precipitation in the United States, Geophysical Research Letters, 42(22), 9781–9789. Featured in EOSResearch spotlight.

·Sun, X.*, Thyer, M., Renard, B., Lang, M. (2014), A general regional frequency analysis framework for quantifying local-scale climate effects: A case study of ENSO effects on Southeast Queensland rainfall, Journal of Hydrology, Volume 512, 6 May 2014, Pages 53-68.

國際會議

·Sun, X., (2017),co-convener of the sessionNH005. Dams and Reservoirs - Natural Hazards, Risks, and Solutions,American Geophysical Union, 2017 Fall Meeting, 11–15 December 2017, New Orleans, USA.

·Sun, X., (2017),Convener of the sessionHS5.9/CL2.17/CR6.9/NH1.9, Water infrastructure risks under climate variability and change: role of data analysis, operating approaches, hydro-meteorological and multi-sectoral forecasts. European Geosciences Union General Assembly 2017, 23–28 April 2017, Vienna, Austria.

·Sun, X., Russo, T., Wu, H., Lall, U. (2016), Spatio-temporal variation of the extreme precipitation in California. American Geophysical Union Fall Meeting 2016, 12-16 Dec 2016, San Francisco, USA. (poster)

·Sun, X., Lall, U., (2016), Climate risks to potato yields in Europe.European Geosciences Union General Assembly 2016, 18-22 April 2016, Vienna, Austria.(poster)

·Sun, X., Lall, U., Merz, B., Dung, N.V. (2015), A non-stationary Bayesian clustering framework for Identifying regional hydro-climate trends from large scale data.26IUGG General assembly 2015,22 June-2 July, 2015, Prague, Czech Republic. (talk)

·Sun, X., Lall, U. (2014), A Bayesian Hierarchical framework for identifying regional hydroclimate trends or climate effects from continental or global data.American Geophysical Union Fall Meeting 2014,15-19 Dec 2014, San Francisco, USA. (poster)

·Sun, X., Renard, B., Thyer, M., Westra S., Lang, M. (2013), An analysis of ENSO impact on global extreme rainfall using a Bayesian regional model.European Geosciences Union General Assembly 2013, 07-12 April 2013, Vienna, Austria. (poster)

·Sun, X., Thyer, M., Renard, B., Lang, M. (2012), Bayesian methods for non-stationary frequency analysis: impact of ENSO on maximum daily rainfall in Australia.Advanced Methods for Flood Estimation in a Variable and Changing Environment, organized as a Mid-term Conference of COST ES0901 ‘FloodFreq’ Action, 24-26 October 2012, Volos, Greece. (talk)

·Sun, X., Renard, B. and Lang, M. (2011). A Bayesian Analysis of Extreme Precipitation in Mediterranean France Using Non-Stationary GEV Models.7th Conference on Extreme Value Analysis, Probabilistic and Statistical Models and their Applications, June 27-July 1, 2011, Lyon, France. (talk)

·Sun, X., Renard, B. and Lang, M. (2011). A Bayesian Analysis of Extreme Precipitation in Mediterranean France Using Non-Stationary GEV Models.Workshop, Environmental Risk and Extreme Events, 10-15 July 2011, Ascona, Switzerland. (talk)