姓名职称：张 朝 教授

联系方式：zhangzhao@bnu.edu.cn；010-58800409

研究方向：国家粮食安全；综合灾害风险评估；资源环境与公共健康

教育经历：

         2004.04-2007.03 博士，筑波大学生命环境科学院，生命共存科学

         1995.09-1998.07 硕士，中国科学院生态环境研究中心，环境化学

         1991.09-1995.07 学士，武汉大学环境科学系，环境生物与生态学

工作经历：

         2008.04- 北京师范大学

         2007.04-2008.03 日本筑波大学地理科学系，博士后

         1998.08-2004.03 北京市自来水集团公司水质监测中心，工程师

承担课程：

         研究生授课：《安全统计学》；《专业英语写作与实践》；《农业灾害》

         本科生授课：《环境风险与人类社会》；《国家粮食安全》（拟开设）

科研项目：

【正开展】

         “基于作物模型模拟和多源数据同化技术的区域农业灾害风险研究—以我国北方小麦干旱为例”，面上基金，72.8万，2020-2023，主持；

         “气候变化背景下东南亚水稻灾害发生机理、灾害风险和农民生计评估与防灾减灾策略研究” 国际合作，349.2万，2021-2025，主持；

          “未来气候极端事件多尺度模拟与危险性评估” 国家重点研发计划子课题“未来气候极端事件对我国农作物生产的影响评估”，36万2020-2025，子课题主持；

         “自然灾害农作物综合风险评估”教育部专项，202101-202112,48万，子任务主持

【已开展】

         “玉米生产系统对气候变化的响应机制及其适应性栽培途径” 国家重点研发计划子课题“关键气候因子的时空变化规律及其对玉米生产系统影响研究”78万, 2017-2020；

         “多尺度、多灾种和多过程下华北平原冬小麦灾害损失风险评估”，面上基金，74.4万，2016-2019，主持；

         “区域农业多灾种辨识、影响评估与风险防范”，地表过程与资源环境国家重点实验室基金，80万，2017-2019，主持；

学术兼职：Agricultural Systems，Applied Sciences 编委

奖励荣誉：

         北京师范大学优秀博士生导师

         北京师范大学优秀新生导师

         北京师范大学高等教育教学成果奖 2017（排6）

代表论文：

【农业灾害】

          Zhang J., Zhang Z*. et al., Rainfall-related weather indices for three main crops in China, International Journal of Disaster Risk Science, 2020 11:466–48

          Cao J., Zhang Z.*, Zhang L.L., et al., Damage evaluation of soybean chilling injury based on Google Earth Engine (GEE) and crop modelling, Journal of Geographical Sciences 2020, 30(8): 1249-1265

          Zhang J. Chen Y., Zhang Z.*, A remote sensing-based scheme to improve regional crop model calibration at sub-model component level, Agricultural Systems 2020 181:102814

          Zhang L.L., Zhang Z.*, Chen Y., et al., Exposure, vulnerability, and adaptation of major maize‑growing areas to extreme temperature, Natural Hazards 2018 91:1257–127

          Chen Y., Zhang Z*., et al., Impacts of heat stress on leaf area index and growth duration of winter wheat in the North China Plain, Field Crop Research, 2018 222: 230-237

          Zhang Z., Chen Y., et al., Future extreme temperature and its impact on rice yield in China，International Journal of Climatology, 2017 37：4814–4827

          Zhang J., Zhang Z.* et al., Performance of Temperature-Related Weather Index for Agricultural Insurance of Three Main Crops in China, International Journal of Disaster Risk Science, 2017, 8: 78-90

          Wang P., Zhang Z*., et al., How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China? Climatic Change 2016: 134(4): 635-650

          Chen Y., Zhang Z*., et al., Identifying the impact of multi-hazards on crop yield — A case for heat stress and dry stress on winter wheat yield in northern China. European Journal of Agronomy, 2016 73:55-63

          Shuai J., Zhang Z., et al., How ENSO affects maize yields in China: understanding the impact mechanisms using a process-based crop model, International Journal of Climatology, 2016，36（1）：424-438

          Wang P. Zhang Z*., et al., 2014. Temperature variations and rice yields in China: historical contributions and future trends. Climatic Change, 124(4):777-789

          Zhang Z., Wang P, et al., 2014 Global warming over 1960–2009 did increase heat stress and reduce cold stress in the major rice-planting areas across China European Journal of Agronomy 59 (2014) 49–56.

          Zhang Z*., Chen Y., et al., 2014. Spatial pattern and decadal change of agro-meteorological disasters in main wheat production area of China during1991-2009. Journal of Geographic Sciences 24(3):387-396.

          Zhang Z*., Chen Y., Wang P. et al., 2014. Spatial and temporal changes of agro-meteorological disasters affecting maize production in China since 1990. Natural Hazards71(3):2087-2100.

          Zhang Z.*,Liu X. F., Wang P, et al., 2014. The heat deficit index depicts the responses of rice yield to climate change in the northeastern three provinces of China, Regional Environmental Change 14(1):27-38

          Shuai J.B., Zhang Z.*, Sun D.Z., et al., 2013. ENSO, climate variability and crop yields in China. Climate Research 58:133-148.

          Shuai J.B., Zhang Z.* Liu X.F., et al., 2013. Increasing concentrations of aerosols offset the benefits of climate warming on rice yields during 1980–2008in Jiangsu Province, China Reg Environ Change 13(2):287-297  

          Liu, X., Zhang, Z*., Shuai, J., et al., 2013. Impact of Chilling injury and global warming on rice yield in Heilongjiang province. Journal of Geographical Sciences, 23, 85-97

          张亮亮，张朝*，等 GEE环境下基于遥感和作物模型的低温冷害损失评估—以鄂伦春自治旗玉米为例，遥感学报，2020，24（10）1206-1220.

          曹娟，张朝* 等基于Google Earth Engine（GEE）和作物模型快速评估低温冷害对大豆生产的影响，地理学报 2020 75(9):1879-1892

          张亮亮，张朝*，等．基于CERES-Rice模型的湖南省一季稻极端高温损失评估及适应性措施．生态学报，2019，39(17): 6293-6303.

          张静，张朝*,等 中国南方双季稻区天气指数保险的选择分析, 保险研究, 2017(7):13-21.

          王品, 张朝*,等 湖南省暴雨洪涝灾害及其农业灾情评估. 北京师范大学学报(自然科学版) 2014 51(1):75-79.

          王品，魏星，张朝* 等气候变化背景下水稻低温冷害和高温热害的研究进展，2014，资源科学 36(11):2316-2326.

          魏星，王品，张朝* 等温度三区间理论评价气候变化对作物产量的影响，2015，自然资源学报 30（3）：470-479.

          刘晓菲，张朝*, 等，黑龙江省冷害对水稻产量的影响，2012, 地理学报67（9）：1223-1232

          张朝, 王品, 陈一,等, 2013. 1990 年以来中国小麦农业气象灾害时空变化特征地理学报68(11):1453-1460.

          王佳津，孟耀斌，张朝，云南省Palmer 旱度模式的建立—2010 年干旱灾害特征分析 2012，自然灾害学报，21（1）：190-197

【粮食安全】

          Zhang Z., Li Z.Y., et al.. Improving regional wheat yields estimations by multi-step-assimilating of a crop model with multi-source data. Agricultural and Forest Meteorology, Agricultural and Forest Meteorology 2020, 290:107993

          Luo Y.C., Zhang Z.*, et al. ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products, Earth System Science Data, 2020, 12, 197–214

          Luo Y.C., Zhang Z.*, et al.. Drivers of planting area and yield shifts for three staple crops across China, 1950−2013 Climate Research,2020 80:73–84

          Zhang L.L., Zhang Z.*, et al., Optimizing genotype-environment-management interactions for maize farmers to adapt to climate change in different agro-ecological zones across China, Science of the Total Environment 2020 728:138614

          Luo Y.C., Zhang Z.*, et al. Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-sources data, Environment Research Letters 2020 15, 074003

          Zhang L.L., Zhang Z.*, Cao J., et al., Optimizing genotype-environment-management interactions to ensure silage maize production in the Chinese Maize Belt, Climate Research, 2020 80:133–146

          Zhang L.L., Zhang Z.*, et al., Combining optical fluorescence thermal satellite and environmental data to predict county-level maize yield in China using machine learning approaches, Remote Sensing, 2020,12,21

          Han J.C., Zhang Z*, Cao J. et al., Prediction of winter wheat yield based on multi-source data and machine learning in China Remote Sensing, 202012, 236

          Cao J., Zhang Z.*, et al. Identifying the contributions of Multi-Source Data for Winter Wheat Yield Prediction in China, Remote Sensing,2020 12,750

          Zhang J., Zhang Z.*, et al., Double-rice system simulation in a topographically diverse region—a remote-sensing-driven case study in Hunan Province of China, Remote Sensing, 2019 11 I577

          Wang C.Z., Zhang Z.*, Zhang J., et al., The effect of terrain factors on rice production—a case study in Hunan Province. Journal of Geographical Science, 2019, 29(2): 287-305

          Wang C.Z., Zhang Z.*, Chen Y., et al., Comparing different smoothing methods to detect double-cropping rice phenology based on LAI product - a case study on double-cropping rice in Hunan Province of China, International Journal of Remote Sensing, 201939(19):6405-6428

          Chen Y., Wang P., Zhang Z.*, et al., Rice yield development and the shrinking yield gaps in China, 1981–2008, Regional Environmental Change, DOI10.1007/s10113-017-1168-7

          Chen Y., Zhang Z.*, et al., Spatio-temporal patterns of winter wheat yield potential and yield gap during the past three decades in North China, Field Crops Research.,2017 206:11-20

          Wei X., Zhang Z*.,et al., Recent patterns of production for the main cereal grains – implications for food security in China, Regional Environmental Change, 2016, doi:10.1007/s10113-016-0977-4

          Zhang Z., Song X., et al., Climate trends and crop production in China at county scale, 1980 to 2008. Theoretical and Applied Climatology. 2016 123(1):291-302DOI 10.1007/s00704-014-1343-4

          Zhang Z*., Feng B.Y., et al., ENSO-Climate Fluctuation-Crop Yield Early Warning System—A Case Study in Jilin and Liaoning Province in Northeast China, Physics and Chemistry of the Earth 2015 87:10-18. DOI: 10.1016/j.pce.2015.09.015

          Wei X., Zhang Z*, 2015. Is yield increase sufficient to achieve food security in China? PlosONE. (2015)10(2):e0116430

          Zhang Z*., Song X., et al. 2015 Dynamic variability of the heading–flowering stages of single rice in China based on field observations and NDVI estimations International Journal of Biometeorology, 2015, 59: 643-655 DOI10.1007/s00484-014-0877-6

          Shi, W., Tao F., Zhang Z.*. 2013. A review on statistical models for identifying climate contributions to crop yields. Journal of Geographical Sciences 23(3):567-576.

          Liu S., Lamberty B., ...Zhang Z., et al., Grand challenges in understanding the interplay of climate and land changes,2017, Earth Interactions 21:1-43.

          王琛智，张朝*，等. 湖南省地形因素对水稻生产的影响, 地理学报, 2018, 73(9):1-17.

【资源环境与公共健康】

          Cao J., Zhang Z.*, et al., Multi‑geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China, Natural Hazards, 2020, 102:851–871

          Cao J., Zhang Z.*, et al., Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau, Catena, 2019, 175:63-76.

          Zhang L.Y., Zhang Z.*, et al., Spatial pattern of surface water quality in China and its driving factors—implication for the environment sustainability, Human and Ecological Risk Assessment: An International Journal,2019 25(7):1789-1801

          Wang C.Z., Zhang Z.*, et al., Different response of human mortality to extreme temperatures (MoET) between rural and urban areas: A multi-scale study across China, Health&Place, 2018, 50:119-129

          Zhang L.Y., Zhang Z.*, et al,. Different Mortality Effects of Extreme Temperature Stress in Three Large City Clusters of Northern and Southern China. International Journal of Disaster Risk Science, 2017, 8(4): 445-456

          Zhang L.Y., Zhang Z.*, et al., Mortality effects of heat waves vary by age and area: a multi-area study in China，Environment Health, 2018,17:54

          Wang C, Zhang Z*., et al. Nonlinear relationship between extreme temperature and mortality in different temperature zones: A systematic study of 122 communities across the mainland of China, Science of the Total Environment 586 (2017) 96–106

          Chen Y., Zhang Z*., et al., Public perception and responses to environmental pollution and health risks: evaluation and implication from a national survey in China Journal of Risk Research, 2017 20(3): 347–365,  DOI:10.1080/13669877.2015.1057199

          Song X., Zhang Z.* et al. 2014. Spatiotemporal changes of global extreme temperature events (ETEs) since 1981 and the meteorological causes. Natural Hazards 70:975-994.

          张领雁,张朝*,等.高温热浪致死风险的人群和城市分异及保险费率厘定的研究.气候变化研究进展, 2018, 14(5):1-12

          王琛智，张朝*，等, 低温对中国居民健康影响的空间差异性分析, 地球信息科学 2017 19(3):336-345.

          周阿颖，张朝*，等，影响地震救灾效率的因素分析-以汶川8.0 级地震和玉树7.1级地震为例, 2011, 灾害学 26(4)：134-138.

【流域环境】

          Sun J.B., Chen Y., Zhang Z*., et al.,2015 The spatio-temporal variations of surface water quality in China during the “Eleventh Five-Year Plan” Environ Monit Assess (2015) 187: 64 DOI10.1007/s10661-015-4278-z

          Chen Y., Song X., Zhang Z.* et al. 2015 Simulating the impact of flooding events on non-point source pollution and the effects of filter strips in an intensive agricultural watershed in China Limnology 16:91–101 DOI 10.1007/s10201-014-0443-2

          Chen Y., Shuai J.B., Zhang Z.* et al.,2014. Simulating the impact of watershed management for surface water quality protection: A case study on reducing inorganic nitrogen load at a watershed scale. Ecological Engineering 62:61-70.

          Zhang Z*, Chen Y., Wang P., et al. 2014. River discharge, land use change, and surface water quality in the Xiangjiang River, China hydrological Processes  28(13):4130-4140, DOI: 10.1002/hyp.9938  

          Guo L.L., Chen Y., Zhang Z* et al. N:P Stoichiometry in a Forested Runoff during Storm Events-Comparisons with Regions and Vegetation types The Scientific World Journal Volume 2012, Article ID 257392, DOI:10.1100/2012/257392

          Chen Y., Zhang Z.*, Du S. Q., etc. 2011. Water quality changes in the world’s first special economic zone, Shenzhen, China Water Resources Research47: W11515-9

          Zhang Z*.,et al., 2010. Surface water quality and its control in a river with intensive human impacts—a case study of the Xiangjiang River, China. Journal of Environmental Management.91:2483-2490.

          Zhang Z*, et al., Characterizing the flush of stream chemical runoff from forested watersheds. Hydrological Processes. 24: 2960-2970, 2010.

          Zhang Z*., FukushimaT., Shi P.J. et al. Seasonal changes of nitrate concentration in baseflow headwaters of Japanese coniferous forests: a significant indicator for N saturation. Catena 76: 63-69, 2008, DOI:10.1016/j.catena.2008.09.007

          Zhang Z*., Fukushima T., Shi P.J., et al. Baseflow concentrations of nitrogen and phosphorus in forested headwaters in Japan. Science of the Total Environment. 402: 113-122, 2008 DOI:10.1016/j.scitotenv.2008.04.045

          Du J., He F., Zhang Z., Shi P.J. Precipitation change and human impacts on hydrologic variables in Zhengshui River Basin, China. Stoch Environ Res Risk Assess, 2011. 25(7) 1013-1025DOI:10.1007/s00477-010-0453-5

          Zhang Z*.,Fukushima T. Onda Y. et al. Characterization of diffuse pollutions from forested watersheds in Japan during storm events: its association with rainfall and watershed features. Science of the Total Environment. 390: 215-226, 2008.DOI:10.1016/j.scitotenv.2007.09.045

          Zhang Z*.,Fukushima T. Onda Y. et al. Nutrient runoff from forested watersheds in central Japan during typhoon storms: Implications for understanding runoff mechanisms during storm events. Hydrological Processes. 21: 1167-1187, 2007,DOI: 10.1002/hyp.6677

发明专利:

          发明名称：一种基于多源信息分步校正作物模型的区域作物估产方法；发明人：张朝 张静等；ZL 2019 1 0093077.0; 北京师范大学

          发明名称：一种基于高分辨率遥感数据和作物模型的跨尺度高精度动态作物长势监测和估产方法；发明人：张朝 曹娟等；ZL 2019 1 0093078.5; 北京师范大学

          发明名称：基于遥感物候同化和粒子群优化的区域冬小麦估产方法；发明人：张朝 张领雁等；ZL 2019 1 0094036.3; 北京师范大学

          发明名称：一种大范围快速提取农作物种植面积和物候信息的方法；发明人：张朝 骆玉川等；ZL 2019 1 0388335.8; 北京师范大学

          发明名称：耦合作物模型和机器学习的作物育种适应时间预测方法；发明人：张朝 张亮亮等；ZL 2019 1 1076188.7；北京师范大学

          发明名称：一种基于GEE综合遥感影像和深度学习方法的作物估产技术；发明人：张朝 曹娟等；ZL 2019 1 0997911.9；北京师范大学

          发明名称：一种耦合作物模型与机器学习语言的农业干旱诊断和评估方法；发明人：张朝 李子悦等；ZL 2019 1 1141251.0；北京师范大学

          发明名称：一种作物灾害损失快速评估方法；发明人：张朝 张亮亮等；ZL 2019 1 1141251.0；北京师范大学

编写著作:

          张朝. 不同森林中营养盐流失的差异，2008. 第三章，恩田裕一主编《荒废人工林及其水的流出—河流环境和森林管理的角度》（日语），岩波书店