基于气象和遥感的黄淮海平原干旱监测
|
摘要
为了更全面、系统的对黄淮海平原进行干旱监测。本研究采用标准化降水蒸散指数(SPEI)以及温度植被干旱指数(TVDI)多角度分析了黄淮海平原的干旱时空变化。结果表明:1960—2016年,黄淮海平原有微弱的干旱化趋势,其中有12年发生年尺度干旱,且各地区干旱分布不均匀。黄淮海平原发生轻度干旱的频率最大,其次是中度干旱;2001—2016年冬小麦主要生长期TVDI均趋于干旱化。不同生长期干旱等级与分布范围不同,2月干旱发生强度大范围广,主要集中在研究区的北部和东部地区,3—5月干旱强度减弱且面积减少,主要集中在河北省南部以及山东省的中东部地区。研究结果可对黄淮海平原的旱情进行监测和评价,并为农业生产,防旱避灾提供参考依据。
The paper aims to carry on drought monitoring in the Huang-Huai-Hai plain comprehensively and systematically. We analyzed the drought spatial and temporal change in the Huang-Huai-Hai plain by using standard precipitation evapotranspiration index(SPEI) and temperature vegetation drought index(TVDI). The results showed that: there was a weak trend of drought in the Huang-Huai-Hai plain from 1960 to 2016,among them, the annual scale drought occurred in 12 years and the drought distribution was uneven in different regions; the Huang-Huai-Hai plain had the highest frequency of mild drought, followed by moderate drought; TVDI in the main growth period of winter wheat tended to be arid from 2001 to 2016; the drought levels and distribution ranges were different in different growth periods; the drought in February was severe and the distribution was wide, mainly concentrated in the northern and eastern parts of the study area; the intensity and area of drought decreased from March to May, mainly in southern Hebei and eastern and central Shandong. The results can detect and evaluate the drought conditions in the Huang-Huai-Hai plain and provide reference for agricultural production and drought prevention.
The paper aims to carry on drought monitoring in the Huang-Huai-Hai plain comprehensively and systematically. We analyzed the drought spatial and temporal change in the Huang-Huai-Hai plain by using standard precipitation evapotranspiration index(SPEI) and temperature vegetation drought index(TVDI). The results showed that: there was a weak trend of drought in the Huang-Huai-Hai plain from 1960 to 2016,among them, the annual scale drought occurred in 12 years and the drought distribution was uneven in different regions; the Huang-Huai-Hai plain had the highest frequency of mild drought, followed by moderate drought; TVDI in the main growth period of winter wheat tended to be arid from 2001 to 2016; the drought levels and distribution ranges were different in different growth periods; the drought in February was severe and the distribution was wide, mainly concentrated in the northern and eastern parts of the study area; the intensity and area of drought decreased from March to May, mainly in southern Hebei and eastern and central Shandong. The results can detect and evaluate the drought conditions in the Huang-Huai-Hai plain and provide reference for agricultural production and drought prevention.
引文
[1] Vasiliades L, Loukas A. Hydrological response logical droughtusing the Palmer drought indices Greece[J].Desalination,2009,237:3-21.
[2]温克刚,丁一汇.中国气象灾害大典·综合卷[M].北京:气象出版社,2008.
[3]王素艳,霍治国,李世奎,等.干旱对北方冬小麦产量影响的风险评估[J].自然灾害学报,2003,12(3):118-125.
[4]刘宪锋,朱秀芳,潘耀忠,等.农业干旱监测研究进展与展望[J].地理学报,2015,70(11):1835-1848.
[5] Benitez J B, Domecq R M. Analysis of meteorological droughtepisodes in Paraguay[J].Climatic Change,2014,127(1):15-25.
[6] Mishra A K, Singh V P. Drought modeling:A review[J].Journal ofHydrology,2011,403(1/2):157-175.
[7] Wang Qianfeng, Shi Peijun, Lei Tianjie, et al. The alleviating trendof drought in the Huang-Huai-Hai Plain of China based on the dailySPEI[J].International Journal of Climatology,2015,35(13):3760-3769.
[8] Stagge J H, Kohn I, Tallaksen L M, et al. Modeling drought impactoccurrence based on meteorological drought indices in Europe[J].Journal of Hydrology,2015,530:37-50.
[9] Palmer W. Meteorological drought[Z].U.S. Department ofCommerce Weather Bureau Research Paper,1965.
[10] Vicente-Serrano S M, Begueria S, Lopez-Moreno J I. A multiscalardrought index sensitive to global warming:The standardizedprecipitation evapotranspiration index[J].Journal of Climate,2010,23(7):1696-1718.
[11]史本林,朱新玉,胡云川,等.基于SPEI指数的近53年河南省干旱时空变化特征[J].地理研究,2015,34(8):1547-1558.
[12]孙滨峰,赵红,王效科.基于标准化降水蒸发指数(SPEI)的东北干旱时空特征[J].生态环境学报,2015,24(1):22-28.
[13]庄少伟.基于标准化降水蒸发指数的中国区域干旱化特征分析[D].兰州:兰州大学,2013.
[14]李翔翔,居辉,刘勤,等.基于SPEI-PM指数的黄淮海平原干旱特征分析[J].生态学报,2017,37(6):2054-2066.
[15]王纯枝,毛留喜,何延波,等.温度植被干旱指数法(TVDI)在黄淮海平原土壤湿度反演中的应用研究[J].土壤通报,2009,40(05):998-1005.
[16]陈少丹,张利平,汤柔馨,等.基于SPEI和TVDI的河南省干旱时空变化分析[J].农业工程学报,2017,33(24):126-132.
[17]杨建莹,梅旭荣,严昌荣,等.华北地区气候资源的空间分布特征[J].中国农业气象,2010,31(S1):1-5.
[18] Guo R., Lin Z., Mo X., et al. Responses of crop yield and water useefficiency to climate change in the North China Plain[J].Agricultural Water Management,2010,97(8):1185-1194.
[19]李伟光,易雪,侯美亭,等.基于标准化降水蒸散指数的中国干旱趋势研究[J].中国生态农业学报,2012,20(5):643-649.
[20] Vicente-Serrano S M, Beguería S, López-Moreno J I. A multiscalardrought index sensitive to global warming:the standardizedprecipitation evapotranspiration index[J].Journal of Climate,2010,23(7):1696-1718.
[21] Sandholt L, Rasmussen K, Andersen J. A simple interpretation ofthe surface temperature/vegetation index space for assessment ofsurface moisture status[J]. Remote Sensing of Environment, 2002,79(2/3):213-224.
[22] Ccarp 1991.(Chinese Committee of Agricultural RegionalPlanning):Agricultural resources and agricultural zoning in China[J].Beijing:China Agriculture Press.
[23]张玉静,王春乙,张继权.基于SPEI指数的华北冬麦区干旱时空分布特征分析[J].生态学报,2015,35(21):7097-7107.
[24]周丹,张勃,罗静,等.基于SPEI的华北地区近50年干旱发生强度的特征及成因分析[J].自然灾害学报,2014,23(4):192-202.
[25]荣艳淑.华北干旱[M].北京:中国水利水电出版社,2013:74-84.
[2]温克刚,丁一汇.中国气象灾害大典·综合卷[M].北京:气象出版社,2008.
[3]王素艳,霍治国,李世奎,等.干旱对北方冬小麦产量影响的风险评估[J].自然灾害学报,2003,12(3):118-125.
[4]刘宪锋,朱秀芳,潘耀忠,等.农业干旱监测研究进展与展望[J].地理学报,2015,70(11):1835-1848.
[5] Benitez J B, Domecq R M. Analysis of meteorological droughtepisodes in Paraguay[J].Climatic Change,2014,127(1):15-25.
[6] Mishra A K, Singh V P. Drought modeling:A review[J].Journal ofHydrology,2011,403(1/2):157-175.
[7] Wang Qianfeng, Shi Peijun, Lei Tianjie, et al. The alleviating trendof drought in the Huang-Huai-Hai Plain of China based on the dailySPEI[J].International Journal of Climatology,2015,35(13):3760-3769.
[8] Stagge J H, Kohn I, Tallaksen L M, et al. Modeling drought impactoccurrence based on meteorological drought indices in Europe[J].Journal of Hydrology,2015,530:37-50.
[9] Palmer W. Meteorological drought[Z].U.S. Department ofCommerce Weather Bureau Research Paper,1965.
[10] Vicente-Serrano S M, Begueria S, Lopez-Moreno J I. A multiscalardrought index sensitive to global warming:The standardizedprecipitation evapotranspiration index[J].Journal of Climate,2010,23(7):1696-1718.
[11]史本林,朱新玉,胡云川,等.基于SPEI指数的近53年河南省干旱时空变化特征[J].地理研究,2015,34(8):1547-1558.
[12]孙滨峰,赵红,王效科.基于标准化降水蒸发指数(SPEI)的东北干旱时空特征[J].生态环境学报,2015,24(1):22-28.
[13]庄少伟.基于标准化降水蒸发指数的中国区域干旱化特征分析[D].兰州:兰州大学,2013.
[14]李翔翔,居辉,刘勤,等.基于SPEI-PM指数的黄淮海平原干旱特征分析[J].生态学报,2017,37(6):2054-2066.
[15]王纯枝,毛留喜,何延波,等.温度植被干旱指数法(TVDI)在黄淮海平原土壤湿度反演中的应用研究[J].土壤通报,2009,40(05):998-1005.
[16]陈少丹,张利平,汤柔馨,等.基于SPEI和TVDI的河南省干旱时空变化分析[J].农业工程学报,2017,33(24):126-132.
[17]杨建莹,梅旭荣,严昌荣,等.华北地区气候资源的空间分布特征[J].中国农业气象,2010,31(S1):1-5.
[18] Guo R., Lin Z., Mo X., et al. Responses of crop yield and water useefficiency to climate change in the North China Plain[J].Agricultural Water Management,2010,97(8):1185-1194.
[19]李伟光,易雪,侯美亭,等.基于标准化降水蒸散指数的中国干旱趋势研究[J].中国生态农业学报,2012,20(5):643-649.
[20] Vicente-Serrano S M, Beguería S, López-Moreno J I. A multiscalardrought index sensitive to global warming:the standardizedprecipitation evapotranspiration index[J].Journal of Climate,2010,23(7):1696-1718.
[21] Sandholt L, Rasmussen K, Andersen J. A simple interpretation ofthe surface temperature/vegetation index space for assessment ofsurface moisture status[J]. Remote Sensing of Environment, 2002,79(2/3):213-224.
[22] Ccarp 1991.(Chinese Committee of Agricultural RegionalPlanning):Agricultural resources and agricultural zoning in China[J].Beijing:China Agriculture Press.
[23]张玉静,王春乙,张继权.基于SPEI指数的华北冬麦区干旱时空分布特征分析[J].生态学报,2015,35(21):7097-7107.
[24]周丹,张勃,罗静,等.基于SPEI的华北地区近50年干旱发生强度的特征及成因分析[J].自然灾害学报,2014,23(4):192-202.
[25]荣艳淑.华北干旱[M].北京:中国水利水电出版社,2013:74-84.