張朝

張朝 北京師範大學國家安全與 應急管理學院

張朝，女，北京師範大學國家安全與應急管理學院教授。

目錄

人物簡歷

教育經歷

• 2004.04-2007.03 博士，筑波大學生命環境科學院，生命共存科學
• 1995.09-1998.07 碩士，中國科學院生態環境研究中心，環境化學
• 1991.09-1995.07 學士，武漢大學環境科學系，環境生物與生態學

工作經歷

2008.04- 北京師範大學

2007.04-2008.03 日本筑波大學地理科學系，博士後

1998.08-2004.03 北京市自來水集團公司水質監測中心，工程師

科研項目

【正開展】

• 「基於作物模型模擬和多源數據同化技術的區域農業災害風險研究—以我國北方小麥乾旱為例」，面上基金，72.8萬，2020-2023，主持；
• 「氣候變化背景下東南亞水稻災害發生機理、災害風險和農民生計評估與防災減災策略研究」 國際合作，349.2萬，2021-2025，主持；
• 「未來氣候極端事件多尺度模擬與危險性評估」 國家重點研發計劃子課題「未來氣候極端事件對我國農作物生產的影響評估」，36萬2020-2025，子課題主持；
• 「自然災害農作物綜合風險評估」教育部專項，202101-202112,48萬，子任務主持

【已開展】

• 「玉米生產系統對氣候變化的響應機制及其適應性栽培途徑」 國家重點研發計劃子課題「關鍵氣候因子的時空變化規律及其對玉米生產系統影響研究」78萬, 2017-2020；
• 「多尺度、多災種和多過程下華北平原冬小麥災害損失風險評估」，面上基金，74.4萬，2016-2019，主持；
• 「區域農業多災種辨識、影響評估與風險防範」，地表過程與資源環境國家重點實驗室基金，80萬，2017-2019，主持；

學術兼職

Agricultural Systems，Applied Sciences 編委

獲獎情況

• 北京師範大學優秀博士生導師
• 北京師範大學優秀新生導師
• 北京師範大學高等教育教學成果獎 2017（排6）

學術成果

論文

【農業災害】

• 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
• 張亮亮，張朝*，等 GEE環境下基於遙感和作物模型的低溫冷害損失評估—以鄂倫春自治旗玉米為例，遙感學報，2020，24（10）1206-1220.
• 曹娟，張朝* 等基於Google Earth Engine（GEE）和作物模型快速評估低溫冷害對大豆生產的影響，地理學報 2020 75(9):1879-1892
• 張亮亮，張朝*，等．基於CERES-Rice模型的湖南省一季稻極端高溫損失評估及適應性措施．生態學報，2019，39(17): 6293-6303.
• 張靜，張朝*,等 中國南方雙季稻區天氣指數保險的選擇分析, 保險研究, 2017(7):13-21.
• 王品, 張朝*,等 湖南省暴雨洪澇災害及其農業災情評估. 北京師範大學學報(自然科學版) 2014 51(1):75-79.
• 王品，魏星，張朝* 等氣候變化背景下水稻低溫冷害和高溫熱害的研究進展，2014，資源科學 36(11):2316-2326.
• 魏星，王品，張朝* 等溫度三區間理論評價氣候變化對作物產量的影響，2015，自然資源學報 30（3）：470-479.
• 劉曉菲，張朝*, 等，黑龍江省冷害對水稻產量的影響，2012, 地理學報67（9）：1223-1232
• 張朝, 王品, 陳一,等, 2013. 1990 年以來中國小麥農業氣象災害時空變化特徵地理學報68(11):1453-1460.
• 王佳津，孟耀斌，張朝，雲南省Palmer 旱度模式的建立—2010 年乾旱災害特徵分析 2012，自然災害學報，21（1）：190-197

【糧食安全】

• 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，張朝*，等. 湖南省地形因素對水稻生產的影響, 地理學報, 2018, 73(9):1-17.

【資源環境與公共健康】

• 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.
• 張領雁,張朝*,等.高溫熱浪致死風險的人群和城市分異及保險費率厘定的研究.氣候變化研究進展, 2018, 14(5):1-12
• 王琛智，張朝*，等, 低溫對中國居民健康影響的空間差異性分析, 地球信息科學 2017 19(3):336-345.
• 周阿穎，張朝*，等，影響地震救災效率的因素分析-以汶川8.0 級地震和玉樹7.1級地震為例, 2011, 災害學 26(4)：134-138.

【流域環境】

• 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

編寫著作

張朝. 不同森林中營養鹽流失的差異，2008. 第三章，恩田裕一主編《荒廢人工林及其水的流出—河流環境和森林管理的角度》（日語），岩波書店