当前位置: X-MOL首页全球导师 国内导师 › 叶爱中

个人简介

教育经历 2004.9—2007.7博士 武汉大学 水电学院 水文水资源专业 2002.9—2004.7硕士 武汉大学 水电学院 水文水资源专业 1996.9—2000.7本科 武汉大学(原武汉水利电力大学) 水利学院 工作经历 2019.9— 教授 北京师范大学 地理科学部 2017.2—2019.8 副教授 北京师范大学 地理科学部 2013.9—2017.01 副教授 北京师范大学 全球变化与地球系统科学研究院 2007.7—2013.08 讲 师 北京师范大学 全球变化与地球系统科学研究院 2012.4—2012.10 访问学者 Princeton University in USA 2011.6—2011.11 访问学者 Concordia University in Canada 2010.4—2010.04 访问研究 Wageningen University & Research centre in Netherlands 2000.7—2002.08 工程师 湖南 五强溪水电厂 承担课程 《陆面水文过程建模》 《全球水文学》 《全球水与能量循环》 《科学计算语言》 科研项目 国家自然科学基金(42171022):青藏高原广义水源涵养演变机理与分布式时空模拟研究,2022-2025,主持人 国家自然科学基金(51879009):变化环境下水文集合预报理论与方法研究,2019-2022,主持人 国家自然科学基金(41475093):通用陆面模式中汇流机制研究与新一代汇流模式开发,2015-2018,主持人 政府间国际科技创新合作重点专项(2016YFE0102400):课题三 可持续水电设计与运行,专题3 引入降水预报信息的水电站入库径流预报 2016.12-2018.12,主持人 国家重点基础研究发展计划(973计划No. 2010CB428402):第二课题第四专题:大尺度分布式时变增益水循环模型研制,2010-2014, 专题负责人 中国水利水电科学研究院:岷江上游水文情势分析,2017.1-2018.12,主持人 国家科技支撑计划专题(2013BAB05B04):流域水文超级集合预报关键技术研究,参与,2013-2015 获奖情况 2015 年: 中国自然资源学会青年科技奖 2014 年: 水利部淮河水利委员会科学技术特等奖:淮河流域多闸坝水质水量联合调度关键技术 2012 年: 国家留学基金委青年骨干教师出国研修奖学金 2011 年: 加拿大魁北克省奖学金 2009 年: 北京师范大学 优秀班主任 2009 年: 中国自然资源学会第六次学术年会 青年优秀论文奖 2005 年: 武汉大学 优秀研究生 2004 年: 武汉大学 优秀研究生 2003 年: 武汉大学 优秀研究生 2000 年: 国际大学生数学建模竞赛一等奖 1999 年: 全国大学生数学建模竞赛一等奖

研究领域

分布式水文模型 水文集合预报 气候变化对水文水资源的影响 RS/GIS 在水文上应用

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Li Q, Ye, A*., Zhou J, Zhang Y, 2022. The peer-to-peer type propagation from meteorological drought to soil moisture drought occurs in areas with strong land-atmosphere interaction. Water Resources Research, 58, e2022WR032846. DOI: 10.1029/2022WR032846. Zhu Y, Ye, A*., Zhang, Yuhang. 2022. Changes of total and artificial Water bodies in mainland China over the past three decades. Journal of Hydrology, 613: 128344. DOI: 10.1016/j.jhydrol.2022.128344. Zhang Y, Ye, A*., 2022.Uncertainty analysis of multiple terrestrial gross primary productivity products. Global Ecology and Biogeography. DOI: 10.1111/geb.13578. Zhang Y, Ye, A*., Nguyen, P.; Analui, B.; Sorooshian, S.; Hsu, K. 2022.QRF4P-NRT: Probabilistic Post-processing of Near-real-time Satellite Precipitation Estimates using Quantile Regression Forests. Water Resources Research, e2022WR032117. DOI: 10.1029/2022WR032117. Zhang Y, Ye, A*., 2022. An improved global gross primary production dataset covering 1980–2018. Heliyon, 8(3): e09153. DOI: 10.1016/j.heliyon.2022.e09153. Wang Y, Ye, A*., Peng D, Miao C, Di Z, Gong W, 2022. Spatiotemporal variations in water conservation function of the Tibetan Plateau under climate change based on InVEST model. Journal of Hydrology: Regional Studies, 41, 101064. DOI: 10.1016/j.ejrh.2022.101064. Zhang, Y, Ye, A*. 2021. Can machine learning improve short-term precipitation forecasts? — Multi-model comparison and experimental investigation. Journal of Hydrometeorology, DOI:10.1175/JHM-D-21-0096.1. Li H., Ye, A*., Zhang, Y.;Zhao W. 2021. Inter-comparison and evaluation of multi-source soil moisture products in China. Earth and Space Science,8, e2021EA001845 DOI: 10.1029/2021EA001845. Zhang, Y, Ye, A*., Nguyen, P.; Analui, B.; Sorooshian, S.; Hsu, K. 2021. New Insights Into Error Decomposition for Precipitation Products. Geophysical Research Letters, 48, e2021GL094092. DOI: 10.1029/2021GL094092. Zhang, Y, Ye, A*., Nguyen, P.; Analui, B.; Sorooshian, S.; Hsu, K. 2021. Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. Remote Sens. 13, 3061. DOI: 10.3390/rs13163061. Zhang, Y, Ye, A*., You J, Jing X, 2021. Quantification of human and natural contributions to multi-dimensional hydrological alterations: A case study in the Upper Minjiang River, China. Journal of Geographical Science. 2021, 31(8): 1102-1122. DOI: 10.1007/s11442-021-1887-z. Zhang, Y, Ye, A*., 2021. Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products. Science of the Total Environment, 783: 146965 DOI: 10.1016/j.scitotenv.2021.146965. 王云飞, 叶爱中*., 乔飞, 李宗省, 缪驰远, 狄振华, 龚伟. 2021. 水源涵养内涵及估算方法综述. 李慧晴, 叶爱中*., 2021. 基于地形加权的降水空间插值方法研究. 武汉大学学报(工学版), 54(1), 28-37. DOI:10.14188/j.1671-8844.2021-01-005 . Zhang, Y, Ye, A*., 2021. Quantitatively distinguishing the impact of climate change and human activities on vegetation in Mainland China with the improved residual method. Giscience & Remote Sensing. DOI: 10.1080/15481603.2021.1872244. Jiang S, Ye, A*., Xiao, C., 2020. The temperature increase in Greenland has accelerated in the past five years. Global and planetary change, 194, 103297. DOI: 10.1016/j.gloplacha.2020.103297. Zhang Y, Ye, A*.. 2020. Spatial and temporal variation in vegetation coverage using AVHRR GIMMS and Terra MODIS data in the Mainland of China. International Journal of Remote Sensing 41:11, 4238-4268, DOI:10.1080/01431161.2020.1714781 . Huang L, Ye, A*., Tang C, Duan Q, Zhang Y. 2020. Impact of rural depopulation and climate change on vegetation, runoff and sediment load in the Gan River basin, China. Hydrology Research, 51(4), 768 - 780. doi: 10.2166/nh.2020.120 . Lang Y, Luo L*, Ye, A., Duan Q. 2020. Do CFSv2 Seasonal Forecasts Help Improve the Forecast of Meteorological Drought over Mainland China? Water 2020, 12(7), 2010, doi: 10.3390/w12072010 . Ma, F., Ye, A*., Duan, Q,. 2019. Seasonal drought ensemble predictions based on multiple climate models in the upper Han River Basin, China, Climate Dynamics, 53(12), 7447-7460. doi: 10.1007/s00382-017-3577-1. Ma F, Luo L., Ye, A*., Duan, Q,. 2019.Drought characteristics and propagation in the semi-arid Heihe River basin in Northwestern China. J. Hydrometeor. 20(1), 59-77. DOI: 10.1175/JHM-D-18-0129.1. Di Z*, Ye, A., Duan, Q,. et al. 2019.Assessment of Parametric Sensitivity Analysis Methods Based on A Quasi Two-Dimensional Groundwater Model. Journal of environmental informatics. doi:10.3808/jei.201900413. Li, W., Duan, Q., Ye, A., and Miao, C. 2019. An improved meta-Gaussian distribution model for post-processing of precipitation forecasts by censored maximum likelihood estimation. Journal of Hydrology 574, 801-810. 黄李东, 叶爱中*., 张疋亥, 汤崇军. 近30年中国典型区域水体面积变化与归因[J]. 南水北调与水利科技, 17(6):138-147. Ma F, Luo L., Ye, A*., Duan, Q,. 2018.Seasonal drought predictability and forecast skill in the semi-arid endorheic Heihe River basin in Northwestern China. Hydrol. Earth Syst. Sci. ., 22, 5697–5709. DOI: 10.5194/hess-22-5697-2018. Hou, J., Ye, A*., You J, Ma, F and Duan, Q,. 2018. An estimate of human and natural contributions to changes in water resources in the upper reaches of the Mingjiang River. Science of the Total Environment. 635: 901-912. DOI: 10.1016/j.scitotenv.2018.04.163. Ma, F., Ye, A*., You J, Duan, Q,. 2018. 2015-16 floods and droughts in China, and its response to the strong El Ni?o. Science of the Total Environment. 627, 1473-1484, doi:https://doi.org/10.1016/j.scitotenv.2018.01.280. Ye, A*.,Zhou Z, You J, Ma, F, Duan, Q., 2018.Dynamic Manning's Roughness Coefficients for Hydrological Modelling in Basins. Hydrology Research xx, xxx-xxx. DOI: 10.2166/nh.2018.175. Gan Y*,Liang X, Duan Q, Ye, A.,Di Z, Hong Y. 2018. A systematic assessment and reduction of parametric uncertainties for a distributed hydrological model. Journal of Hydrology.564:697-711. DOI: 10.1016/j.jhydrol.2018.07.055 Yuan, X., Ji, P., Wang, L., Liang, X.-Z., Yang, K., Ye, A.,Su, Z. and Wen, J. 2018. High resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 1. Model development and evaluation, Journal of Advances in Modeling Earth Systems, 0(ja), doi:10.1029/2018MS001412 Di, Z., Duan, Q., Wang, C., Ye, A., Miao, C., & Gong, W., 2017. Assessing the applicability of WRF optimal parameters under the different precipitation simulations in the Greater Beijing Area. Climate Dynamics, 1-22. doi:10.1007/s00382-017-3729-3 侯静雯, 叶爱中*,甘衍军, 龚伟, 段青云. 洪水灾害危险性评价方法的研究与改进[J]. 南水北调与水利科技, 2018, 16(01): 57-62. Ye A*, Deng X, Ma F, Duan Q, Zhou Z, Du C. 2017. Integrating weather and climate predictions for seamless hydrologic ensemble forecasting: A case study in the Yalong River basin. Journal of Hydrology.547:196-207. DOI: 10.1016/j.jhydrol.2017.01.053 Xu, J., Ye, A*., Duan, Q., Ma, F., Deng, X., Zhou, Z. 2017. Improvement of rank histograms for verifying reliability of extreme events ensemble forecasts [J]. Environmental Modelling & Software. doi: 10.1016/j.envsoft.2017.02.024. Du C., Ye, A*., Gan, Y, You, J, Duan, Q, Ma, F and Hou, J. 2017. Drainage network extraction from a high-resolution DEM using parallel programming in the .NET Framework, Journal of Hydrology, 555, 506-517, DOI: https://doi.org/10.1016/j.jhydrol.2017.10.034. Duan Q, Di Z, Quan J, Wang C, Gong W, Gan Y., Ye, A.,Miao C, Miao S, Liang X, Fan S. 2017. Automatic Model Calibration: A New Way to Improve Numerical Weather Forecasting. Bulletin of the American Meteorological Society 98:959-970. doi:10.1175/BAMS-D-15-00104.1. Li, W., Duan Q., Miao C., Ye, A.,Gong W., and Di Z., 2017. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting, Wiley Interdisciplinary Reviews: Water, n/a-n/a, doi:10.1002/wat2.1246. Di, Z., Duan, Q., Gong, W.,Ye, A., Miao, C., 2017 Parametric sensitivity analysis of precipitation and temperature based on multi-uncertainty quantification methods in the Weather Research and Forecasting model. Science China Earth Sciences, 60(5), 876-898.doi:https://doi.org/10.1007/s11430-016-9021-6. 周正, 叶爱中*,马凤, 杜超. 基于贝叶斯理论的水文多模型预报[J]. 南水北调与水利科技, 2017, (01):1-6. Ma, F, Ye A*, Deng, X, Zhou, Z, Liu, X, Duan, Q, Xu, J, Miao, C, Di, Z. and Gong, W. (2016), Evaluating the skill of NMME seasonal precipitation ensemble predictions for 17 hydroclimatic regions in continental China, International Journal of Climatology, , 36: 132–144. doi:10.1002/joc.4333. Mao Y, Ye A*, Liu, X,, Ma F et al. , 2016. High-resolution simulation of the spatial pattern of water use in continental China. Hydrological Sciences Journal, DOI:10.1080/02626667.2016.1153102 Duan, Q., Di, Z., Quan, J., Wang, C., Gong, W., Gan, Y., Ye, A., Miao, C., Miao, S., Liang, X. and Fan, S. Automatic model calibration - a new way to improve numerical weather forecasting. Bulletin of the American Meteorological Society, doi:doi:10.1175/BAMS-D-15-00104.1. Gong, W., Duan, Q., Li, J., Wang, C., Di, Z., Ye, A., et al.. (2016). Multiobjective adaptive surrogate modeling-based optimization for parameter estimation of large, complex geophysical models. Water Resources Research, n/a-n/a. doi: 10.1002/2015WR018230 Yuan, X., Ma, F., Wang, L., Zheng, Z., Ma, Z., Ye, A., Peng, S., 2016. An experimental seasonal hydrological forecasting system over the Yellow River basin - Part I: Understanding the role of initial hydrological conditions, Hydrol. Earth Syst. Sci.. 20, 2437–2451. doi:10.5194/hess-20-2437-2016 Quan J, Di Z, Duan Q, Gong W, Wang C, Gan Y, Ye A, Miao C. 2016. An Evaluation of Parametric Sensitivities of Different Meteorological Variables Simulated by the WRF Model. Quarterly Journal of the Royal Meteorological Society:n/a-n/a. DOI: 10.1002/qj.2885 Zhang Y, Shao Q, Ye A, Xing H, Xia J. 2016. Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration. Hydrol. Earth Syst. Sci. 20:529-5. Ye A*, Duan Q, Schaake J, Xu J, Deng X, Di Z, Miao C and Gong W, 2015. Post-processing of Ensemble Low Flow Forecasts. Hydrological Processes, 29, 2438–2453. (SCI) DOI: 10.1002/hyp.10374 Published: 2015.4.20, online 6 2014.11.6 Ma, F, Ye A*, Deng, X, Zhou, Z, Liu, X, Duan, Q, Xu, J, Miao, C, Di, Z. and Gong, W. (2015), Evaluating the skill of NMME seasonal precipitation ensemble predictions for 17 hydroclimatic regions in continental China, International Journal of Climatology, n/a-n/a, doi:10.1002/joc.4333. (SCI) Published: 2015.4.10 on line Mao Y, Ye A*, Liu, X,, Ma F et al. , 2015. High-resolution simulation of the spatial pattern of water use in continental China. Hydrological Sciences Journal (SCI) Published: 2015.11.10 Ma F, Yuan X*, and Ye A, 2015. Seasonal Drought Predictability and Forecast Skill over China. Journal of Geophysical Research,120,8264-8275. (SCI) Kong, D., Miao, C., Borthwick, A.G.L., Duan, Q., Liu, H., Sun, Q., Ye, A., Di, Z. and Gong, W. (2015) Evolution of the Yellow River Delta and its relationship with runoff and sediment load from 1983 to 2011. Journal of Hydrology 520(0), 157-167. (SCI) Published: 2015.1.16 Kong, D., Miao, C., Wu, J., Duan, Q., Sun, Q., Ye, A., Di, Z. and Gong, W. (2015) The hydro-environmental response on the lower Yellow River to the water–sediment regulation scheme. Ecological Engineering 79, 69-79. (SCI) Published: 2015.3.9 Di, Z., Duan, Q., Gong, W., Wang, C., Gan, Y., Quan, J., Li, J., Miao, C., Ye, A. and Tong, C. (2015), Assessing WRF model parameter sensitivity: A case study with 5 day summer precipitation forecasting in the Greater Beijing Area, Geophys. Res. Lett., 42, 579–587, doi:10.1002/2014GL061623. (SCI) Published: 2015.1.22 Gong, W., Duan, Q., Li, J., Wang, C., Di, Z., Dai, Y., Ye, A., and Miao, C. , 2015. Multi-objective parameter optimization of common land model using adaptive surrogate modeling, Hydrol. Earth Syst. Sci., 19, 2409-2425, doi:10.5194/hess-19-2409-2015. (SCI) Published: 2015.5.21 Chen, Y., Yuan, W., Xia, J., Fisher, J.B., Dong, W., Zhang, X., Liang, S., Ye, A., Cai, W. and Feng, J. (2015) Using Bayesian Model Averaging to Estimate Terrestrial Evapotranspiration in China. Journal of Hydrology (doi:10.1016/j.jhydrol.2015.06.059). (SCI) Published: 2015.6.16 Gong, W., Duan, Q., Li, J., Wang, C., Di, Z., Ye, A., Miao, C. , and Dai, Y., 2015. An Intercomparison of Sampling Methods for Uncertainty Quantification of Environmental Dynamic Models. Journal of Environmental Informatics (DOI: 10.3808/jei.201500310) (SCI) Published: 2015.7.13 Zhang, Y., Shao, Q. , Ye, A. , Xing, H., & Xia, J. (2015). Integrated water system simulation by considering hydrological and biogeochemical processes: model development, parameter sensitivity and autocalibration. Hydrol. Earth Syst. Sci. Discuss., 12(5), 4997-5053. doi: 10.5194/hessd-12-4997-2015 叶爱中, 段青云, 徐 静, 马凤, 邓斅学, 2015. 基于GFS的飞来峡流域水文集合预报. 气象科技进展, 5(3): 57-61. Published: 2015.3.13 邓斅学, 叶爱中, 童洪福,徐静,毛玉娜,马凤, 2015. 河道流量测量与计算方法研究. 中国农村水利水电, 6: 70-74. Published: 2015.7.13 邓斅学, 叶爱中, 朗杨, 徐静, 毛玉娜, 2015. 中国内陆TRMM降水数据质量评估. 水文, 35(4): 55-63.Published: 2015.8.13 Ye A, Duan Q, Chu W, Xu J, Mao Y, 2014. The impact of the South–North Water Transfer Project (CTP)'s central route on groundwater table in the Hai River basin, North China. Hydrological Processes 28, 5755–5768, DOI: 10.1002/hyp.10081. (SCI) Published: 2014.10.14 Ma F, Ye A*, Gong W, Mao Y, Miao C, Di Z, 2014. An estimate of human and natural contributions to flood changes of the Huai River. Global and Planetary Change 119, 39-50. (SCI) Published: 2014.5.20 online 2014.8.1 press Ye A, Duan Q, Yuan X, Wood EF, Schaake J, 2014. Hydrologic post-processing of MOPEX streamflow simulations. Journal of Hydrology 508, 147-56. (SCI) Published: 2014.1.16 Lang Y., Ye A., Gong W., Miao C., Di Z., Xu J., Liu Y., Luo L. and Duan Q, 2014: Evaluating Skill of Seasonal Precipitation and Temperature Predictions of NCEP CFSv2 Forecasts over 17 Hydroclimatic Regions in China. J. Hydrometeor, 15, 1546–1559. doi: http://dx.doi.org/10.1175/JHM-D-13-0208.1 Published: 2014.8.1 Zhang, H., Liu, S., Yuan, W., Dong, W., Ye, A., Xie, X., Chen, Y., Liu, D., Cai, W. and Mao, Y, 2014. Inclusion of soil carbon lateral movement alters terrestrial carbon budget in China. Sci. Rep. 4. doi: 10.1038/srep07247 (SCI) Published: 2014.11.28 Mao Y, Ye A*, Xu J, Ma F et al., 2014. An advanced distributed automated extraction of drainage network model on high-resolution DEM. Hydrol. Earth Syst. Sci. Discuss. 11, 7441-67. doi:10.5194/hessd-11-7441-2014. Zhang, Y., Shao, Q., Ye, A. and Xing, H. (2014) An integrated water system model considering hydrological and biogeochemical processes at basin scale: model construction and application. Hydrol. Earth Syst. Sci. Discuss. 11(8), 9219-9279. Wang C, Duan Q, Gong W, Ye A, Di Z, Miao C, 2014. An evaluation of adaptive surrogate modeling based optimization with two benchmark problems. Environmental Modelling & Software 60, 167-79. (SCI) Published: 2014.10.1 Tao Y, Duan Q, Ye A, Gong W, Di Z, Xiao M and Hsu K, 2014. An evaluation of post-processed TIGGE multimodel ensemble precipitation forecast in the Huai river basin, Journal of Hydrology, 519, Part D(0), 2890-2905, doi:http://dx.doi.org/10.1016/j.jhydrol. 2014.04.040. (SCI) Published:2014.11.1 Gan Y, Duan Q, Gong W, Tong C, Sun Y, Chu W, Ye A, Miao C, Di Z, 2014. A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model. Environmental Modelling & Software 51, 269-85. (SCI) Published: 2014.1.1 Sun Q, Miao C, Duan Q, Kong D, Ye A, Di Z, Gong W, 2014. Would the ‘real’ observed dataset stand up? A critical examination of eight observed gridded climate datasets for China. Environmental Research Letters 9, 015001. (SCI) Published: 2014.1.15 Sun Q, Kong D, Miao C, Duan Q, Yang T, Ye A, Di Z and Gong W, 2014 Variations in global temperature and precipitation for the period of 1948 to 2010. Environmental monitoring and assessment, 186(9):5663-79. doi: 10.1007/s10661-014-3811-9 (SCI) Published: 2014.9.1 Miao, C., Duan Q., Sun Q., Huang Y., Kong D., Yang T., Ye A., Di Z., and Gong W., 2014. Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia, Environmental Research Letters, 9(5), 055007. (SCI) Published: 2014.5.28 She D, Xia J, Zhang D, Ye A, Sood A, 2014. Regional extreme-dry-spell frequency analysis using the L-moments method in the middle reaches of the Yellow River Basin, China. Hydrological Processes 28(17), 4694-4707. (SCI) Published: 2014.8.15 徐静, 叶爱中, 毛玉娜, 邓斅学, 2014. 水文集合预报研究与应用综述. 南水北调与水利科技, 12(1), 93-98. Published:2014.2.2 毛玉娜, 叶爱中, 徐静, 2014. 辽河流域径流过程模拟的空间尺度效应分析. 水文, 2, 19-24. Published:2014.2.2 Ye A, Duan Q, Zhan C, Liu Z, Mao Y, 2013. Improving kinematic wave routing scheme in Community Land Model. Hydrology Research 44, 886-903. (SCI) Published: 2013.10.8 Li J, Duan QY, Gong W, Ye A, et al., 2013. Assessing parameter importance of the Common Land Model based on qualitative and quantitative sensitivity analysis. Hydrol. Earth Syst. Sci. 17, 3279-93. (SCI) Published:2013.8.21 Shangguan W, Dai Y, Liu B, Zhu A, Duan Q, Wu L, Ji D, Ye A, et al., 2013. A China data set of soil properties for land surface modeling. Journal of Advances in Modeling Earth Systems 5, 212-24. (SCI) Published:2013.6.21 Liu, Y., Q. Duan, L. Zhao, A. Ye, Y. Tao, C. Miao, X. Mu, and J. C. Schaake (2013), Evaluating the predictive skill of post-processed NCEP GFS ensemble precipitation forecasts in China's Huai river basin, Hydrological Processes, 27(1), 57-74. (SCI) 甘衍军, 李兰, 武见, 叶爱中, 2013. 基于EFDC的二滩水库水温模拟及水温分层影响研究. 长江流域资源与环境, 476-85. 毛玉娜, 叶爱中, 王雪蕾, 张永勇, 2013. 基于GIS-RS的非点源污染模型研究进展. 北京师范大学学报(自然科学版), 407-16. 李剑铎, 段青云, 戴永久, 叶爱中, et al., 2013. CoLM模拟土壤温度和湿度最敏感参数的研究. 大气科学, 841-51. Mao Y, Ye A, Xu J, 2012. Using Land Use Data to Estimate the Population Distribution of China in 2000. Giscience & Remote Sensing 49, 822-53. (SCI) Wei Shangguan, Yongjiu Dai, Baoyuan Liu, Aizhong Ye, Hua Yuan. 2012. A soil particle-size distribution dataset for regional land and climate modelling in China. Geoderma, 171-172: 85-91, doi:10.1016/j.geoderma.01.013. (SCI) 童宏福, 叶爱中. 佛冈县近50年来降雨特征浅析[J]. 人民珠江,2012,(1): 24-28. 段青云,叶爱中, 改善水文气象预报的统计后处理[J]. 水资源研究, 2012, 1, 161-168. doi:10.4236/jwrr.2012.14023 夏军, 叶爱中, 王蕊, 王中根. 跨流域调水的大尺度分布式水文模型研究与应用. 南水北调与水利科技, 2011,1: 1-8. 孔凡哲,宋晓猛,占车生,叶爱中,. 水文模型参数敏感性快速定量评估的RSMSobol方法[J]. 地理学报,2011,(9):1270-1280. Xia J, Zhang Y, Zhan C, Ye A, 2011. Water Quality Management in China: The Case of the Huai River Basin. International Journal of Water Resources Development 27, 167-80. (SCI) Zhao, L., Duan, Q., Schaake, J., Ye, A., and Xia, J. A hydrologic post-processor for ensemble streamflow predictions, Adv. Geosci., 2011, 29, 51-59. Zhan C, Xu Z, Ye A, et al. 2011. LUCC and its impact on runoff yield in the Bai river catchment, upstream of the Miyun reservoir basin. J Plant Ecol;4:61-66. (SCI) Ye A, Duan Q, Zeng H, Li L, Wang C, 2010. A Distributed Time—Variant Gain Hydrological Model Based on Remote Sensing. Journal of Resources and Ecology 1, 222-30. 叶爱中, 张利平. 基于观测站点生成降水的有效分辨率研究[J]. 水利学报, 2010(41): 93-100. (EI) Chen Xiangdong, Xia Jun, Ye Aizhong, Zhang Yongyong, "A Retrospective Temporal Integration Method for Richards' Equation," csie, vol. 2, pp.591-595, 2009 WRI World Congress on Computer Science and Information Engineering, 2009 (EI) 门玉丽, 夏军, 叶爱中. 水位流量关系曲线的理论求解研究[J]. 水文,2009(1): 1-3. 叶爱中, 夏军, 乔云峰, 王纲胜. 分布式小流域侵蚀模型及应用[J]. 应用基础与工程科学学报, 2008, 16(3): 328-340. (EI) 夏军,叶爱中,乔云峰,王纲胜. 黄河无定河流域分布式时变增益水文模型的应用研究[J]. 应用基础与工程科学学报,2007(4): 457-466. (EI) 叶爱中,戴永久,夏军. 降雨时间尺度上的降尺度分析研究[J]. 水文, 2007(5): 16-20. Xia J, Ye A, Wang L, etc.. Water cycle mechanisms on the Loess Plateau, China: the Chabagou catchment case study. Methodology in Hydrology (Proceedings of the Second International Symposium on Methodology in Hydrology held in Nanjing, China, October–November 2005). IAHS Publ. 311, 2007. (EI) 叶爱中, 夏军, 乔云峰, 王纲胜. 淤地坝对水沙的影响[M]. 中国水论坛 No.4 论文集 2006 : 29-34. 叶爱中, 夏军, 王纲胜. 黄河流域时变增益分布式水文模型 (Ⅱ) —模型的校检与应用 [J]. 武汉大学学报 (工学版), 2006,39 (4): 29-32. 叶爱中, 夏军, 王纲胜. 基于动力网络的分布式运动波汇流模型 [J]. 人民黄河.2006(2): 26-28. 刘星, 夏军, 左其亭, 叶爱中,. 塔里木河三源流汇流计算模型 [J]. 干旱区地理, 2006(1): 14-20. 李璐, 夏军, 叶爱中, 张利平. 基于雷达测雨的降水数据同化研究 [J]. 人民长江 ,2006(9): 95-97. 王纲胜, 夏军, 万东晖, 叶爱中. 气候变化及人类活动影响下的潮白河月水量平衡模拟 [J]. 自然资源学报 ,2006,(1): 86-91. 叶爱中, 夏军, 王纲胜. 基于数字高程模型的河网提取及子流域生成 [J]. 水利学报, 2005 , 36(5) : 531-537 (EI) 夏军, 叶爱中, 王纲胜. 黄河流域时变增益分布式水文模型 (Ⅰ)—— 模型的原理与结构 [J]. 武汉大学学报 (工学版), 2005, (6):10-15. XIA Jun, WANG Gangsheng, YE Aizhong and NIU Cun-Wen. A Distributed Monthly Water Balance Model for Analyzing Impacts of Land Cover Change on Flow Regimes[J]. Pedosphere 2005, 15(6):761-767. (SCI) XIA Jun, WANG Gangsheng, TAN Ge, YE Aizhong & G.H. Huang. Development of distributed time-variant gain model for nonlinear hydrological systems[J]. Science in china series d:earth sciences, 2005, 48(6): 713-723 (SCI) YE Aizhong , XIA Jun, WANG Gangsheng. A Distributed Time-Variant Gain Model Applied to the Yellow River . Proceedings of the 2nd International Yellow River Forum(I). 2005, 10. (ISTP) 谢平, 李德, 陈广才, 叶爱中, 基于贝页斯公式的湖泊富营养化随机评价方法及其验证, 长江流域资源与环境, 2005, 14(2): 224-227 夏军, 王纲胜, 谈戈, 叶爱中 . 水文非线性系统与分布式时变增益模型 [J]. 中国科学 D 辑, 2004 , 34(11) : 1062-1071 谢平, 黎红秋, 叶爱中 . 基于经验频率曲线的水体富营养化随机评价方法及其验证 [J]. 湖泊科学, 2004 , 16(4) : 371-376 叶爱中, 夏军, 王纲胜. 水文水资源模拟系统集成研究 [ J]. 中国农村水利水电, 2004(8): 76-79 叶爱中, 夏军, 谢平. 湖库水体富营养化评价的不确定性研究 [M]. 全国首届水问题研究学术研讨会论文集 2003 : 449-456

推荐链接
down
wechat
bug