070501-自然地理学

水文水资源，遥感水文，生态水文，全球水循环

2001-09--2004-06   中国科学院地理科学与资源研究所   理学博士
1997-09--2000-07   中国科学院石家庄农业现代化研究所   理学硕士
1993-09--1997-07   内蒙古师范大学   理学学士

   

2019-01~现在, 中国科学院地理科学与资源研究所, 二级研究员
2006-11~2019-01,澳大利亚联邦科工组织, 研究员/资深研究员/首席研究员
2005-05~2006-09,德国农业土地利用中心, 洪堡学者
2004-07~2005-04,日本国立环境研究所, 生态领域前缘研究员
2000-08~2001-08,中国科学院石家庄农业现代化研究所, 助理研究员

2019-01-15-今,Journal of Geophysical Research - Atmospheres副主编, 副主编
2016-02-01-今,Journal of Hydrology期刊副主编, 副主编

气象与气候学（南方科技大学）

   

（1） 中科院****学术帅才（A类）, , 院级, 2018
（2） MODSIM杰出青年科学家奖, 其他, 2017
（3） CSIRO Land and Water最佳论文奖, 研究所（学校）, 2016
（4） GN Alexanda奖杯, 国家级, 2012
（5） 德国洪堡学者, 国家级, 2005
（6） 中国科学院院长特别奖, 特等奖, 院级, 2003

[1] 张选泽, 张永强, 刘昌明. 一种基于卫星遥感数据的植被温度和裸地温度估算方法. CN: CN112857583A, 2021-05-28.

[2] 张选泽, 张永强, 田静. 一种考虑下垫面条件变化的潜在蒸散发估算方法. CN: CN112699621A, 2021-04-23.

[3] 田静, 张永强. 一种基于遥感信息的地表水、热和碳通量耦合估算方法. CN: CN111881407B, 2021-06-11.

[4] 张选泽, 任婵月, 田静, 郑玉峰, 苗平, 田小强, 张永强. 一种基于标准化陆地水储量指数的干旱遥感监测方法. CN: CN116934518A, 2023-10-24.

[5] 全宇, 郑玉峰, 奇奕轩, 张选泽, 张永强. 一种基于高分卫星遥感的裸露沙地决策树提取方法. CN: CN116977873A, 2023-10-31.

[6] 杨雪宁, 张选泽, 张永强, 全宇, 郑玉峰. 一种基于高分卫星遥感数据反演植被叶面积指数的方法. CN: CN116758427A, 2023-09-15.

[7] 田静, 张永强. 基于机器学习和遥感技术的城市人为热排放量估算方法. CN: CN115204691B, 2023-02-03.

[8] 田静, 张永强. 基于机器学习和遥感技术的城市人为热排放量估算方法. CN: CN115204691A, 2022-10-18.

[9] 魏豪杉, 张永强, 刘昌明. 一种流域水文模型参数确定的新型算法. CN: CN115186589A, 2022-10-14.

[10] 张选泽, 张永强, 马宁, 田小强, 苗平, 林钢, 田晓军. 一种基于卫星遥感数据反演植物气孔导度的方法. CN: CN114357733A, 2022-04-15.

[11] 张选泽, 张永强. 一种基于饱和水汽压差的干旱指数计算方法. CN: CN112734244A, 2021-04-30.

   

[1] Huang, Qi, Zhang, Yongqiang, Wei, Haoshan. Can direct CMIP6 model simulations reproduce mean annual historical streamflow change?. CATENA[J]. 2024, 第 2 作者  通讯作者  235: http://dx.doi.org/10.1016/j.catena.2023.107650.
[2] 张永强. Southern Hemisphere dominates recent decline in global water availability. Science[J]. 2023, 第 1 作者  通讯作者  382(null): 579-584, 
[3] 杨雪宁, 张永强, 张选泽, 马宁, 张俊梅. 基于留一交叉验证法的APSIM-Maize产量模拟. 作物学报[J]. 2023, 第 2 作者49(10): 2854-2860, http://lib.cqvip.com/Qikan/Article/Detail?id=7110294671.
[4] 蔡依霏, 陈琳舒, 吕世轩, 张永强, 吴秋生, 王锋, 宋进喜, 程磊, 刘强, 张军龙. 基于Google Earth Engine的黄土高原植被变化对蒸散发分量影响研究. 地理科学[J]. 2023, 第 4 作者43(9): 1649-1658, http://geoscien.neigae.ac.cn/CN/10.13249/j.cnki.sgs.2023.09.015.
[5] 周君, 吕世轩, 武传号, 张永强, 张军龙. 基于趋势检验与经验正交的滦河山区流域水文过程分析. 西北大学学报:自然科学版[J]. 2023, 第 4 作者53(1): 33-43, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7418979&detailType=1.
[6] 张永强. Future global streamflow declines are probably more severe than previously estimated. Nature Water[J]. 2023, 第 1 作者  通讯作者  null(null): 
[7] 张晓钰, 辛怡, 翟钰钰, 吕世轩, 刘强, 张永强, 宋进喜, 程磊, 张国涛, 李子君, 朱纹君, 张军龙. 沂河流域暴雨径流变化特征研究. 水土保持研究[J]. 2023, 第 6 作者30(4): 194-202, http://lib.cqvip.com/Qikan/Article/Detail?id=7109814771.
[8] 张永强, 黄琦, 刘昌明, 杨永辉. 遥感数据产品率定水文模型的潜力研究. 地理学报[J]. 2023, 第 1 作者78(7): 1677-1690, http://lib.cqvip.com/Qikan/Article/Detail?id=7110443210.
[9] Wang, Longhao, Zhang, Yongqiang, Ma, Ning, Song, Peilin, Tian, Jing, Zhang, Xuanze, Xu, Zhenwu. Diverse responses of canopy conductance to heatwaves. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2023, 第 2 作者  通讯作者  335: http://dx.doi.org/10.1016/j.agrformet.2023.109453.
[10] Ma, Ning, Zhang, Yongqiang. Increasing Tibetan Plateau terrestrial evapotranspiration primarily driven by precipitation. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2022, 第 2 作者  通讯作者  317: http://dx.doi.org/10.1016/j.agrformet.2022.108887.
[11] Lyu, Shixuan, Zhai, Yuyu, Zhang, Yongqiang, Cheng, Lei, Paul, Pranesh Kumar, Song, Jinxi, Wang, Yetang, Huang, Mengdong, Fang, Haiyan, Zhang, Junlong. Baseflow signature behaviour of mountainous catchments around the North China Plain. JOURNAL OF HYDROLOGY[J]. 2022, 第 3 作者  通讯作者  606: http://dx.doi.org/10.1016/j.jhydrol.2022.127450.
[12] Ma, Ning, Zhang, Yongqiang. Contrasting Trends in Water Use Efficiency of the Alpine Grassland in Tibetan Plateau. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES[J]. 2022, 第 2 作者  通讯作者  127(14): 
[13] He, Jie, Letu, Husi, Lei, Yonghui, Guo, Enliang, Bao, Shanhu, Zhang, Yongqiang, Tana, Gegen, Bao, Yuhai. Influence of Energy and Water Cycle Key Parameters on Drought in Mongolian Plateau during 1979-2020. REMOTE SENSING[J]. 2022, 第 6 作者14(3): http://dx.doi.org/10.3390/rs14030685.
[14] Deng, Haoxin, Tang, Qiuhong, Yun, Xiaobo, Tang, Yin, Liu, Xingcai, Xu, Ximeng, Sun, Siao, Zhao, Gang, Zhang, Yongyong, Zhang, Yongqiang. Wetting trend in Northwest China reversed by warmer temperature and drier air. JOURNAL OF HYDROLOGY[J]. 2022, 第 10 作者613: 9, http://dx.doi.org/10.1016/j.jhydrol.2022.128435.
[15] Zhang, Junlong, Zhao, Panpan, Zhang, Yongqiang, Cheng, Lei, Song, Jinxi, Fu, Guobin, Wang, Yetang, Liu, Qiang, Lyu, Shixuan, Qi, Shanzhong, Huang, Chenlu, Ma, Mingwei, Zhang, Guotao. Long-Term Baseflow Responses to Projected Climate Change in the Weihe River Basin, Loess Plateau, China. REMOTE SENSING[J]. 2022, 第 3 作者14(20): http://dx.doi.org/10.3390/rs14205097.
[16] Sun, Wenyi, Ding, Xiaotong, Su, Jingbo, Mu, Xingmin, Zhang, Yongqiang, Gao, Peng, Zhao, Guangju. Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets. LAND USE POLICY[J]. 2022, 第 5 作者  通讯作者  119: http://dx.doi.org/10.1016/j.landusepol.2022.106165.
[17] 田静, 张永强. 2022年长江流域特大干旱应对工作分析及建议. 中国减灾[J]. 2022, 第 2 作者N/A(23): 36-39, http://lib.cqvip.com/Qikan/Article/Detail?id=7108677637.
[18] Meresa, Hadush, Zhang, Yongqiang. Contrasting Uncertainties in Estimating Floods and Low Flow Extremes. WATER RESOURCES MANAGEMENT[J]. 2021, 第 2 作者  通讯作者  35(6): 1775-1795, http://dx.doi.org/10.1007/s11269-021-02809-3.
[19] Nagdeve, Mahendra, Paul, Pranesh Kumar, Zhang, Yongqiang, Singh, Rajendra. Continuous Contour Trench (CCT): Understandings of hydrological processes after standardisation of dimensions and development of a user-friendly software. SOIL & TILLAGE RESEARCH[J]. 2021, 第 3 作者  通讯作者  205: http://dx.doi.org/10.1016/j.still.2020.104792.
[20] Ma, Ning, Szilagyi, Jozsef, Zhang, Yongqiang. Calibration-Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally. WATER RESOURCES RESEARCH[J]. 2021, 第 3 作者  通讯作者  57(9): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000703704400038.
[21] Zhai, Xiaoyan, Guo, Liang, Liu, Ronghua, Zhang, Yongyong, Zhang, Yongqiang. Comparing Three Hydrological Models for Flash Flood Simulations in 13 Humid and Semi-humid Mountainous Catchments. WATER RESOURCES MANAGEMENT[J]. 2021, 第 5 作者35(5): 1547-1571, http://dx.doi.org/10.1007/s11269-021-02801-x.
[22] Viney, Neil R, Post, David A, Zhang, Yongqiang, Karim, Fazlul, Aryal, Santosh K, Gilfedder, Mat, Arancibia, Jorge Pena, Wang, Bill, Yang, Ang, Singh, Ramneek, Shi, Xiaogang, Crosbie, Russell S, Peeters, Luk J M, Herron, Natasha F, Vaze, Jai, Marvanek, Steve, Crawford, Debbie, Ramage, Adam, Dehelean, Adrian, Gonzalez, Dennis, Li, Lingtao, Evans, Tim. Modelling the cumulative impacts of future coal mining and coal seam gas extraction on river flows: Applications of methodology. JOURNAL OF HYDROLOGY[J]. 2021, 第 3 作者598: http://dx.doi.org/10.1016/j.jhydrol.2021.126440.
[23] Li, Xiaojie, Zhang, Yongqiang, Ma, Ning, Li, Congcong, Luan, Jinkai. Contrasting effects of climate and LULC change on blue water resources at varying temporal and spatial scales. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2021, 第 2 作者  通讯作者  786: http://dx.doi.org/10.1016/j.scitotenv.2021.147488.
[24] Naeem, Shahid, Zhang, Yongqiang, Zhang, Xuanze, Tian, Jing, Abbas, Sawaid, Luo, Lili, Meresa, Hadush Kidane. Both climate and socioeconomic drivers contribute to vegetation greening of the Loess Plateau. SCIENCE BULLETIN[J]. 2021, 第 2 作者  通讯作者  66(12): 1160-1163, http://dx.doi.org/10.1016/j.scib.2021.03.007.
[25] Song, Peilin, Zhang, Yongqiang, Tian, Jing. Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique. GEOPHYSICAL RESEARCH LETTERS[J]. 2021, 第 2 作者  通讯作者  48(5): http://dx.doi.org/10.1029/2020GL091459.
[26] Gan, Rong, Zhang, Lu, Yang, Yuting, Wang, Enli, Woodgate, William, Zhang, Yongqiang, Haverd, Vanessa, Kong, Dongdong, Fischer, Tony, Chiew, Francis, Yu, Qiang. Estimating ecosystem maximum light use efficiency based on the water use efficiency principle. ENVIRONMENTAL RESEARCH LETTERS[J]. 2021, 第 6 作者  通讯作者  16(10): http://dx.doi.org/10.1088/1748-9326/ac263b.
[27] Faiz, Muhammad Abrar, Zhang, Yongqiang, Baig, Faisal, Wrzesinski, Dariusz, Naz, Farah. Identification and inter-comparison of appropriate long-term precipitation datasets using decision tree model and statistical matrix over China. INTERNATIONAL JOURNAL OF CLIMATOLOGY[J]. 2021, 第 2 作者  通讯作者  41(10): 5003-5021, http://dx.doi.org/10.1002/joc.7113.
[28] Zhou, Xinyao, Zhang, Yongqiang, Sheng, Zhuping, Manevski, Kiril, Andersen, Mathias N, Han, Shumin, Li, Huilong, Yang, Yonghui. Did water-saving irrigation protect water resources over the past 40 years? A global analysis based on water accounting framework. AGRICULTURAL WATER MANAGEMENT[J]. 2021, 第 2 作者249: http://dx.doi.org/10.1016/j.agwat.2021.106793.
[29] Zhai, Xiaoyan, Zhang, Yongyong, Zhang, Yongqiang, Guo, Liang, Liu, Ronghua. Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2021, 第 3 作者763: http://dx.doi.org/10.1016/j.scitotenv.2020.142977.
[30] Sharma, Chetan, Shukla, Anoop Kumar, Zhang, Yongqiang. Climate change detection and attribution in the Ganga-Brahmaputra-Meghna river basins. GEOSCIENCE FRONTIERS[J]. 2021, 第 3 作者  通讯作者  12(5): 192-201, http://dx.doi.org/10.1016/j.gsf.2021.101186.
[31] Tian, Jing, Zhang, Yongqiang, Zhang, Xuanze. Impacts of heterogeneous CO2 on water and carbon fluxes across the global land surface. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2021, 第 2 作者  通讯作者  14(9): 1175-1193, http://dx.doi.org/10.1080/17538947.2021.1937352.
[32] 张永强, 孔冬冬, 张选泽, 田静, 李聪聪. 2003—2017年植被变化对全球陆面蒸散发的影响. 地理学报[J]. 2021, 第 1 作者76(3): 584-594, http://lib.cqvip.com/Qikan/Article/Detail?id=7104383787.
[33] Zhou, Xinyao, Zhang, Yongqiang, Beck, Hylke E, Yang, Yonghui. Divergent negative spring vegetation and summer runoff patterns and their driving mechanisms in natural ecosystems of northern latitudes. JOURNAL OF HYDROLOGY[J]. 2021, 第 2 作者  通讯作者  592: http://dx.doi.org/10.1016/j.jhydrol.2020.125848.
[34] Zhang, Xuanze, YingPing Wang, Peter J Rayner, Philippe Ciais, Kun Huang, Yiqi Luo, Shilong Piao, Zhonglei Wang, Jianyang Xia, Wei Zhao, Xiaogu Zheng, Jing Tian, Yongqiang Zhang. A small climate-amplifying effect of climate-carbon cycle feedback. NATURE COMMUNICATIONS[J]. 2021, 第 13 作者  通讯作者  12(1): 1-11, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134589/.
[35] Guo, Yuhan, Zhang, Yongqiang, Zhang, Lu, Wang, Zhonggen. Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review. WILEY INTERDISCIPLINARY REVIEWS-WATER. 2021, 第 2 作者  通讯作者  8(1): http://dx.doi.org/10.1002/wat2.1487.
[36] Zhang, Xuanze, Zhang, Yongqiang, Ma, Ning, Kong, Dongdong, Tian, Jing, Shao, Xingmin, Tang, Qiuhong. Greening-induced increase in evapotranspiration over Eurasia offset by CO2-induced vegetational stomatal closure. ENVIRONMENTAL RESEARCH LETTERS[J]. 2021, 第 2 作者  通讯作者  16(12): 
[37] 刘昌明, 魏豪杉, 张永强, 田巍, 栾金凯. 黄河干流径流变化归因分析与有关问题商榷. 人民黄河[J]. 2021, 第 3 作者43(10): 1-6+16, http://lib.cqvip.com/Qikan/Article/Detail?id=7105715647.
[38] 何韶阳, 田静, 张永强. 三种高分辨率地表蒸散发产品在华北地区的验证与对比. 资源科学[J]. 2020, 第 3 作者42(10): 2035-2046, https://www.resci.cn/CN/10.18402/resci.2020.10.19.
[39] Zhang Yongqiang. Using LiDAR-DEM based rapid flood inundation modelling framework to map floodplain inundation extent and depth. JOURNAL OF GEOGRAPHICAL SCIENCES[J]. 2020, 第 1 作者  通讯作者  30(10): 1649-1663, https://www.webofscience.com/wos/woscc/full-record/WOS:000605211800007.
[40] Tian, Jing, Zhang, Yongqiang. Detecting changes in irrigation water requirement in Central Asia under CO2 fertilization and land use changes. JOURNAL OF HYDROLOGY[J]. 2020, 第 2 作者  通讯作者  583: http://dx.doi.org/10.1016/j.jhydrol.2019.124315.
[41] Feng, Shuyun, Liu, Jianyu, Zhang, Qiang, Zhang, Yongqiang, Singh, Vijay P, Gu, Xihui, Sun, Peng. A global quantitation of factors affecting evapotranspiration variability. JOURNAL OF HYDROLOGY[J]. 2020, 第 4 作者584: http://dx.doi.org/10.1016/j.jhydrol.2020.124688.
[42] Zhang, Junlong, Zhang, Yongqiang, Song, Jinxi, Cheng, Lei, Paul, Pranesh Kumar, Gan, Rong, Shi, Xiaogang, Luo, Zhongkui, Zhao, Panpan. Large-scale baseflow index prediction using hydrological modelling, linear and multilevel regression approaches. JOURNAL OF HYDROLOGY[J]. 2020, 第 2 作者  通讯作者  585: http://dx.doi.org/10.1016/j.jhydrol.2020.124780.
[43] Huang, Qi, Qin, Guanghua, Zhang, Yongqiang, Tang, Qiuhong, Liu, Changming, Xia, Jun, Chiew, Francis H S, Post, David. Using Remote Sensing Data-Based Hydrological Model Calibrations for Predicting Runoff in Ungauged or Poorly Gauged Catchments. WATER RESOURCES RESEARCH[J]. 2020, 第 3 作者  通讯作者  56(8): http://dx.doi.org/10.1029/2020WR028205.
[44] Linfei Yu, Yongqiang Zhang, Yonghui Yang. Using High-Density Rain Gauges to Validate the Accuracy of Satellite Precipitation Products over Complex Terrains. ATMOSPHERE[J]. 2020, 第 2 作者11(6): https://doaj.org/article/6eded9eeacfd447aa67624b3193755f5.
[45] 张永强, 李聪聪. 植被变化对中国北方水文过程影响的研究进展探讨. 西北大学学报:自然科学版[J]. 2020, 第 1 作者50(3): 420, http://lib.cqvip.com/Qikan/Article/Detail?id=7102031826.
[46] Pei, Yanyan, Dong, Jinwei, Zhang, Yao, Yang, Jilin, Zhang, Yongqiang, Jiang, Chongya, Xiao, Xiangming. Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years. ECOLOGICAL INFORMATICS[J]. 2020, 第 5 作者56: http://dx.doi.org/10.1016/j.ecoinf.2020.101052.
[47] 俞琳飞, 张永强, 张佳华, 杨永辉. 卫星降水产品在太行山区的适用性初步评估. 高原气象[J]. 2020, 第 2 作者39(4): 819-829, http://lib.cqvip.com/Qikan/Article/Detail?id=7102679643.
[48] Yu, Linfei, Ma, Lexin, Li, Huilong, Zhang, Yongqiang, Kong, Fanchao, Yang, Yonghui. Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2020, 第 4 作者41(14): 5620-5644, https://www.webofscience.com/wos/woscc/full-record/WOS:000535425000001.
[49] Post, D A, Crosbie, R S, Viney, N R, Peeters, L J M, Zhang, Y Q, Herron, N F, Wilkins, A, Janardhanan, S, Karim, F, Aryal, S K, PenaArancibia, J, Lewis, S, Evans, T, Vaze, J, Chiew, F H S, Marvanek, S P, Henderson, B, Schmidt, B, Herr, A. Impacts of coal mining and coal seam gas extraction on groundwater and surface water. JOURNAL OF HYDROLOGY[J]. 2020, 591: http://dx.doi.org/10.1016/j.jhydrol.2020.125281.
[50] Luan, Jinkai, Zhang, Yongqiang, Tian, Jing, Meresa, Hadush, Liu, Dengfeng. Coal mining impacts on catchment runoff. JOURNAL OF HYDROLOGY[J]. 2020, 第 2 作者  通讯作者  589: http://dx.doi.org/10.1016/j.jhydrol.2020.125101.
[51] Bai, Peng, Liu, Xiaomang, Zhang, Yongqiang, Liu, Changming. Assessing the Impacts of Vegetation Greenness Change on Evapotranspiration and Water Yield in China. WATER RESOURCES RESEARCH[J]. 2020, 第 3 作者56(10): http://dx.doi.org/10.1029/2019WR027019.
[52] Song, Xiaoyan, Sun, Wenyi, Zhang, Yongqiang, Song, Songbai, Li, Jiuyi, Gao, Yanjun. Using hydrological modelling and data-driven approaches to quantify mining activities impacts on centennial streamflow. JOURNAL OF HYDROLOGY[J]. 2020, 第 3 作者  通讯作者  585: http://dx.doi.org/10.1016/j.jhydrol.2020.124764.
[53] Li, Ming, Zhang, Yongqiang, Wallace, Jeremy, Campbell, Eddy. Estimating annual runoff in response to forest change: A statistical method based on random forest. JOURNAL OF HYDROLOGY[J]. 2020, 第 2 作者589: http://dx.doi.org/10.1016/j.jhydrol.2020.125168.
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（ 1 ） 全球水循环方向****学术帅才项目, 主持, 部委级, 2019-01--2021-12
（ 2 ） 水文测站稀缺地区植被变绿对水文过程影响和模拟研究, 主持, 研究所（学校）, 2019-01--2022-12

（1）Predicting runoff signatures using machine learning approaches   2018-04-11
（2）Predicting runoff signatures using regression and hydrological modelling approaches   2017-12-04
（3）Regional and global hydrology   2017-11-17
（4）Global variation of transpiration and soil evaporation and the role of their major climate drivers   2015-12-03