Please wait a minute...
img img
高级检索
地球科学进展  2007, Vol. 22 Issue (11): 1160-1176    DOI: 10.11867/j.issn.1001-8166.2007.11.1160
干旱气候变化与可持续发展     
植被状况指数的改进及在西北干旱监测中的应用
郭 铌1,管晓丹1,2
1.中国气象局兰州干旱气象研究所,甘肃省干旱气候变化与减灾重点实验室,中国气象局干旱气候变化与减灾重点开放实验室,甘肃 兰州 730020; 2.兰州大学大气科学学院,甘肃 兰州 730000
An Improvement of the Vegetation Condition Index with Applications to the Drought Monitoring in Northwest China
GUO Ni1, GUAN Xiao-dan1,2
1.Institute of Arid Meteorology, CMA ,Lanzhou, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province,Key Open Laboratory of Arid Climate Change and Disaster Reduction of CMA ,Lanzhou 730020,China, 2. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
 全文: PDF(1319 KB)  
摘要:

干旱是全球分布最广、发生频率最高、持续时间最长、影响范围最大、造成的经济损失最为严重的一种自然灾害,干旱也是所有自然灾害中影响因子最为复杂、人类了解最少、监测最为困难的一种自然灾害,干旱监测是世界性的难题。干旱可以发生在任何气候带上,但干旱、半干旱地区是全球干旱灾害发生最频繁的地区。干旱发生特征和规律因地区的不同会有很大的差异,不同地区对干旱监测方法不同。目前,世界各国干旱监测主要利用基于气象、水文、农业和卫星遥感等观测资料建立的各种干旱指数开展,已经有150多种干旱指数。植被状况指数VCI是应用最为广泛的一种卫星监测干旱的指数,研究和业务应用结果表明,VCI对全球各地的干旱均有较好的反映,已经应用在美国国家大气海洋局(NOAA)日常干旱监测业务中,中国国家卫星气象中心干旱卫星遥感监测服务产品也是以VCI为基础。我国干旱半干旱地区主要分布在新疆、甘肃、青海、陕西、宁夏以及内蒙古自治区的中西部,这里降水少且不稳定,降水变率大,是中国干旱发生频率最高的地区。干旱严重制约着当地经济发展和人类生活质量的提高,使本身非常脆弱的生态环境趋于恶化。为了了解条件植被指数VCI对西北地区不同气候区干旱的监测能力,以上述6省(区)为研究区,利用1982—2003年22年NDVI数据,计算了研究区域22年来逐月的VCI,对比分析了不同气候区VCI与降水距平的关系。结果表明,VCI在空间和时间上较好地反映了西北大部分气候干旱发生、发展和空间分布,是干旱监测的较好指标,但在干旱和极端干旱地区,VCI经常出现异常偏高现象,不能反映干旱气候区常年干旱的基本特点。通过对西北不同生态系统之间NDVI特点和各生态系统间NDVI年变化及其年际变化规律的研究,设计了VCI改进方案,提出了改进的条件植被指数RVCI。通过对22年来逐月RVCI与VCI的对比,RVCI客观地反映了干旱气候区常年干旱特点,较VCI有显著改进。

关键词: 遥感监测西北地区植被状况指数VCI干旱    
Abstract:

Drought is the world's natural disaster that is the most widely distributed, most frequent, most long lasting, with the biggest impact and causing the worst economic losses. Among all the natural disasters, drought is also the one whose causes are the most complicated and least understood and whose monitoring is the most difficult. Indeed the drought monitoring is well known as a hard problem. Drought can happen at any time on any climate zone. Arid and semiarid regions are where drought occurs the most often. But a humid region with abundant rainfall can also have drought from a temporary climate change. As the regions changes, characteristics and patterns of drought may vary considerably. Its monitoring methods are also different. At present, drought monitoring throughout the world is primarily based on the indices from meteorological, hydrological, agricultural and satellite remote sensing data. The vegetation condition index (VCI) is one of the most widely used indices for satellite monitoring of drought. As shown by researches and operational applications, VCI is a good reflection of world wide drought condition. It has been used in routine drought monitoring by U.S. National Ocean and Atmosphere Administration (NOAA). Chinese National Satellite Meteorological Center also bases its monitoring service on VCI. Arid and semiarid areas in China are mostly distributed in the northwest part including Xinjiang, Gansu, Qinghai, Shannxi and Ningxia, as well as in Inner Mongolia. Here the precipitation is small and unstable, and the variability of precipitation is large. Drought occurs most frequently in these areas, serious affecting the human life and the economic development, and causes the deterioration of the already fragile ecology environment. In order to better understand the capability of the VCI in monitoring drought at different climate region in northwest China, this article chooses the above six provinces as study region, uses the NDVI data during the 22 years of 19822003 to calculate the monthly VCI in the study region, and analyses the relationship of VCI with the percentage precipitation anomalies at different climatic region during the 22 years. Our study shows that VCI reflects the occurring, development and distribution of drought quite well in space and time in most climate regions in northwest China, and thus serves as a good indicator for drought monitoring. However, in the arid and extremely arid areas, VCI has shown to be abnormally high and does not reflect the perennial drought condition in these areas. We found that this is caused by the extremely low rate of vegetation covering in these areas. Through the study of the NDVI characteristics, annual change and interannual change patterns of the various ecosystems in northwest China, improvement procedures are formulated and an improved vegetation condition index, called RVCI, is introduced. Through the monthly comparison between RVCI and VCI during the 22 years, it is shown that RVCI remarkably improves VCI to better reflect the perennial drought condition of the arid areas. 

Key words: Drought    Monitor    VCI    Northwest China.
收稿日期: 2007-09-15 出版日期: 2007-11-10
:  P332.2  
基金资助:

科技部公益研究项目“中国干旱气象灾害监测预警方法研究”(编号:2004DIB5J192);国家自然科学基金项目“MODIS植被指数在西北地区的应用研究”(编号:40375011)共同资助.

通讯作者: 郭铌(1963-),女,广东汕头人,研究员,主要从事卫星遥感应用研究.E-mail:niguo@hotmail.com     E-mail: niguo@hotmail.com
作者简介: 郭铌(1963-),女,广东汕头人,研究员,主要从事卫星遥感应用研究.E-mail:niguo@hotmail.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
郭铌

管晓丹

引用本文:

郭铌,管晓丹. 植被状况指数的改进及在西北干旱监测中的应用[J]. 地球科学进展, 2007, 22(11): 1160-1176.

GUO Ni, GUAN Xiao-dan. An Improvement of the Vegetation Condition Index with Applications to the Drought Monitoring in Northwest China. Advances in Earth Science, 2007, 22(11): 1160-1176.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2007.11.1160        http://www.adearth.ac.cn/CN/Y2007/V22/I11/1160

[1]Obasi G O P. WMO’s Role in the international decade for natural disaster reduction[J].Bulletin of the American Meteorological Society,1994,75:1 665-1 661.
[2]Riebsame W E,Changnon S A,Karl T R.Drought and Natural Resource Management in the United States: Impacts and Implications of the 1987-1989 drought[A].Westview Press,1990:174.
[3]Kogan F N. Global drought watch from space[J].Bulletin of the American Meteorological Society,1997,78(4):621-636.
[4]Wilhite,Wilhite D A.Planning for drought: A methodology.Drought Assessment, Management, and Planning: Theory and Case studies[C]//D Wilhite, ed, Kluwer Academic,1993:87-109.
[5]Qian Zhengan,Wu Tongwen,Song Minhong, et al.Arid disaster and advances in arid climate researches over northwest China[J].Advance in Earth Sciences,2001, 16(1):28-38.[钱正安,吴统文,宋敏红.干旱灾害和我国西北干旱气候的研究进展及问题[J].地球科学进展,2001,16(1):28-38.]
[6]Liu Zhiming, Zhang Bai, Yan Ming. Some research advances and trends on soil moisture and drought monitoring by remote Sensing[J].Advances in Earth Science,2003,18(4):576-583.[刘志明,张柏,晏明.土壤水分与干旱遥感监测研究的进展与趋势[J].地球科学进展,2003,18(4):576-583.]
[7]Kogan F N. Droughts of the late、1980s in the United States as derived from NOAA polar orbiting satellite data[J].Bulletin of the American Meteorological Society,1995, 76:655-688.
[8]Guan Xiaodan, Guo Ni, Huang Jianping, et al. Applicability analysis of VCI in monitoring Northwest  China drought[J].Plateau Meteorology,(in Revision).[管晓丹,郭铌,黄建平,等.植被状态指数监测西北干旱的适用性分析[J].高原气象,待刊.]
[9]Gitelson A A, Kogan F, Zakarin E,et al. Using AVHRR data for quantitative estimation of vegetation conditions: Calibration and validation[J].Advances in Space Research,1998,22(5):613-676.
[10]Unganai L S, Cogan F N. Drought monitoring and corn yield estimation in southern Africa from AVHRR data[J].Remote Sensing of Environment,1998, 63(3):219-232.
[11]Domeniklotis C, Spiliotopoulos M, Tsifos E, et al. Early cotton yield assessment by the use of the NOAA/AUHRR derived Vegetation Condition Index (VCI) in Greece[J].International Journal of Remote Sensing,2004, 25(14):2 807-2 819.
[12]Editorial Committee of Climatological Atlas of the People's Republic of China: Climatological Atlas of the People's Republic of China[M].Beijing: Meteorological Press,2002.[《中华人民共和国气候图集》编辑委员会.中华人民共和国气候图集[M].北京:气象出版社,2002.]
[13]Li Jangfeng. Desert Climate[M].Beijing: Meteorological Press, 2002:2-4.[李江风.沙漠气候[M].北京:气象出版社,2002:2-4.]
[14]Slayback D,Pinzon J,Los S O, Tucker C J.Northern hemisphere photosynthetic trends 1982-1999[J].Global Change Biology,2003,9:1-15.
[15]Dong Anxiang. China's Encyclopedia of  Meteorological Disasters (Gansu vol) [M]. Beijing : Meteorological Press, 2005 : 82-119.[董安详.中国气象灾害大典(甘肃卷)[M].北京:气象出版社,2005:82-119.]
[16]Guo Ni, Li Dongliang, Cai Xiaojun, et al. Climatic diagnosis and satellite monitoring of a severe drought over eastern northwest China in 1995[J].Arid Land Geography,1997,20(3):69-74.[郭铌,李栋梁,蔡晓军,等.1995年中国西北东部特大干旱的气候诊断与卫星监测[J].干旱区地理,1997,20(3):69-74.]

[1] 赵文智, 周宏, 刘鹄. 干旱区包气带土壤水分运移及其对地下水补给研究进展[J]. 地球科学进展, 2017, 32(9): 908-918.
[2] 李育, 刘媛. 干旱区内流河流域长时间尺度水循环重建与模拟——以石羊河流域为例[J]. 地球科学进展, 2017, 32(7): 731-743.
[3] 程佳佳, 王成金, 刘卫东. 西北地区交通优势度格局及空间分异[J]. 地球科学进展, 2016, 31(2): 192-205.
[4] 何志斌, 杜军, 陈龙飞, 朱喜, 赵敏敏. 干旱区山地森林生态水文研究进展[J]. 地球科学进展, 2016, 31(10): 1078-1089.
[5] 张强, 姚玉璧, 李耀辉, 罗哲贤, 张存杰, 李栋梁, 王润元, 王劲松, 陈添宇, 肖国举, 张书余, 王式功, 郭铌, 白虎志, 谢金南, 杨兴国, 董安祥, 邓振镛, 柯晓新, 徐国昌. 中国西北地区干旱气象灾害监测预警与减灾技术研究进展及其展望[J]. 地球科学进展, 2015, 30(2): 196-211.
[6] 吴珊珊, 姚治君, 姜丽光, 刘兆飞. 现代冰川体积变化研究方法综述[J]. 地球科学进展, 2015, 30(2): 237-246.
[7] 邓铭江, 石泉. 内陆干旱区水资源管理调控模式[J]. 地球科学进展, 2014, 29(9): 1046-1054.
[8] 张强, 韩兰英, 张立阳, 王劲松. 论气候变暖背景下干旱和干旱灾害风险特征与管理策略[J]. 地球科学进展, 2014, 29(1): 80-91.
[9] 王连喜,孔坚文,李琪,肖玮钰. 中国北方地区几种农业气象灾害指标研究综述[J]. 地球科学进展, 2013, 28(6): 627-636.
[10] 程国栋,赵传燕,许仲林,彭守璋. 生物地理模型研究进展及在干旱半干旱区的应用[J]. 地球科学进展, 2013, 28(1): 17-23.
[11] 王澄海,王芝兰,郭毅鹏. GEV干旱指数及其在气象干旱预测和监测中的应用和检验[J]. 地球科学进展, 2012, 27(9): 957-968.
[12] 胡桂胜, 陈宁生, Narendra Khanal, 韩大为. 科西河跨境流域水旱灾害与防治[J]. 地球科学进展, 2012, 27(8): 908-915.
[13] 王文,徐红. Palmer干旱指数在淮河流域的修正及应用[J]. 地球科学进展, 2012, 27(1): 60-67.
[14] 王国华,赵文智. 遥感技术估算干旱区蒸散发研究进展[J]. 地球科学进展, 2011, 26(8): 848-858.
[15] 张强,张良,崔显成,曾剑. 干旱监测与评价技术的发展及其科学挑战[J]. 地球科学进展, 2011, 26(7): 763-778.