内蒙古自治区干旱灾害时空分布规律及预测研究
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摘要
干旱己经成为影响面最广,持续时间长、造成经济损失最大的自然灾害,对农牧业生产、社会经济和人民生活均会造成严重影响,内蒙古地区属干旱半干旱地区,年降水量少,且时空分布很不均匀,水资源短缺现象日趋严重,干旱是本地区最主要的自然灾害。已严重影响和制约着本地区社会与经济的可持续发展。评价区域干旱程度、干旱的时空分布状况,进行旱灾规律和预报研究,为抗旱减灾工作提供相关的信息和技术支持,以提高抗旱工作主动性和决策的科学性,对于应对干旱缺水问题是十分必要的。
     本文根据内蒙古抗旱工作的需要,以分析研究内蒙古干旱的基本特征、干旱的成因、干旱灾害的时空分布规律及旱灾预测等为主要内容:一、归纳总结了自治区干旱的基本特征及其成因:干旱普遍存在,旱灾频繁,旱情严重,随着年代的延长干旱周期缩短、旱象加重,干旱灾害呈连续性,地域差异明显,西部高于东部、牧区高于农区,影响范围广,致灾因子类型多,孕灾环境复杂。异常的大气环流是造成干旱的主要条件,气候的变暖影响着环境要素,使干旱的周期缩短,社会因素影响并改变了干旱化进程,加剧了干旱的发展。二、调查分析了内蒙古自治区101个旗县1990—2007年间因旱造成的农业、牧业、城镇居民生活及工业方面的损害程度及降水资料,运用统计计算、频率分析等方法,根据旱灾等级划分标准,确定了内蒙古自治区3个级别的旱灾等级(严重旱灾、中度旱灾、轻度旱灾)发生频率和分布区划。按照干旱季节的划分,确定了内蒙古自治区3种易旱季节(春旱、春夏旱、春夏秋旱)旱灾易发区的分布规律,及连季旱灾发生频率。并运用同期降水资料对结果进行检验,最终确定了自治区干旱灾害的时空分布特征。通过GIS软件Mapinfo对易旱季节及旱灾等级分布图进行区划。三、根据1990-2007年内蒙古自治区干旱灾害发生的时间以及灾情统计数据,采用灰色灾变理论,建立旱灾灰色灾变预测GM(1,1)模型,对自治区未来15年旱灾进行了分析预测,预测将在2010年、2011年、2014年、2016年、2018年、2019年全区分别有四个及四个以上盟市发生干旱,尤其在2011,2019年份将出现特大旱灾。
     通过对自治区干旱的基本特征、干旱的成因、干旱灾害的时空分布规律及旱灾预测的研究,有效地掌握了自治区干旱的发生规律,为有效规划配置水资源、科学合理实施工程措施、人力物力调度,将干旱灾害减少到最低程度奠定基础。同时为下一步旱灾预警预报,旱情监测预警系统、抗旱指挥调度系统的建立提供相关的信息和技术支持。
Drought has become the most widespread and the greatest economic losses natural disaster; it has a serious impact on agricultural production. Inner Mongolia belongs to arid and semi-arid regions, low annual precipitation, and the spatial and temporal distribution is very uneven, water shortage is much serious more and more, drought is the major natural disaster in this region, it has been seriously affected and restricted the social and economic sustainable development. Pay attention to the evaluation of regional drought, the spatial and temporal distribution of drought conditions, forecast for anti-drought, which provides relevant information and technical support, improving initiative and scientific in anti-drought, it is quite necessary to deal with the drought and water shortage problem.
     According to the needs of anti-drought, in order to analyze the basic characteristics, causes of drought, spatial-temporal distribution and prediction of drought in Inner Mongolia. Firstly, the basic characteristics and causes of drought in this region are summarized: drought is widespread, frequent and severe. With the time goes, the period of draught quite shortened, continuing, and the geographical differences are distinct, western is much higher than eastern, pastoral areas are severer than agricultural areas, disaster environment is complex. Atmospheric circulation is the main cause of drought; climate warming is one of factors of environmental effect, so that the period of drought shortened, social factors influence the process of drought, exacerbating drought development. The analysis of content is objective, rational, and comprehensive;Secondly, This paper investigated and analyzed the extent of damage and precipitation data in agriculture, animal husbandry, urban household and industrial aspects about 101 counties in Inner Mongolia between 1990 to 2007, using statistical calculation, the frequency analysis method, the drought (drought-prone season, drought level) temporal and spatial distribution and for distribution division was identified initially in Inner Mongolia, and three kinds of drought-prone season was determined including drought, spring and summer drought, spring and autumn drought, the frequency and distribution divisions of the three-level divisions drought levels (severe drought, moderate drought, mild drought). And the spatial and temporal distribution of drought is determined using the results rainfall data over the same period, the season of drought-prone and distribution is divided by the Mapinfo of GIS software. Thirdly, according to the time of drought occurred and disaster statistics of Inner Mongolia Autonomous Region from1990-2007, gray catastrophe theory is adopted, establishing the drought gray prediction model GM (1,1), analyzing the drought of autonomous regions in the next 15 years, forecasting more than four and four Union City in 2010, 2011, 2014, 2016, 2018, 2019 respectively, which will happen the drought, particularly heavy drought will be appeared in 2011,2019.
     Through the basic characteristics of drought, drought causes, spatial-temporal distribution, and drought prediction, the drought occurrence is mastered, and the allocation of water resources is planed effectively, the engineering measures are implemented scientifically, human resources are scheduled rationally, the disaster of drought will be minimized lowest. At the same time, it will warn and forecast early for next drought, monitoring and warning systems, anti-drought command and control system are established to provide relevant information and technical support.
引文
1郑远长.全球自然灾害概述[J].中国减灾,2000,10(1):14-19.
    2 Whilhite D A,Glantz M H.Understanding the draught phenomenon.the role of definitions[J].Whter International,1985,10(3):111-120.
    3中国天气网.干旱贯穿今年灾害始终[OL]. http://www.weather.com.cn/static/html/article/20091217/166908.shtml.2009,12,17.
    4 Richard R.HrinJr.美国20世纪干旱指数评述[J].干旱气象,2006,24(1):79-89.
    5袁文平,周广胜.干旱指标的理论分析与研究展望[J].地球科学进展,2004,19(6):982-990.
    6周旭凯,张强,王有民,等.干旱指标研究进展及中美两国国家级干旱监测[J].气象,2005,31(7):6-9.
    7张利平.干旱的含义及干旱指标的探讨[J].水文水资源,1998,19(2):33-35.
    8谢应齐.关于干旱指标的研究[J].自然灾害学报,1993,2(2):55-62.
    9姚玉璧,张寸杰,邓振铺,等.气象、农业干旱指标综述[J].干旱区农业研究,2007,25(1):185-189.
    10 Von Straten.Modeling and Managing Shallow lake eutrophication with Application to lake Balaton.1983
    11 Palmer W C.Keeping track of crop Moisture conditions,nationwide:The new crop moisture index[J] ,Weatherwis.1968,21
    12刘庚山,郭安红,安顺请,等.帕默尔干旱指标及其应用研究进展[J].自然灾害学报,2004,13(4):21-27.
    13冯平,李绍飞,王仲汪.干旱识别与分析指标综述[J].中国农村水利水电,2002,7:13-15.
    14钱云平,张美丽.应用干旱指标法研究黄河流域干旱特征[J].水科学进展,1994,3:6-7.
    15方述诚,汪定伟.模糊数学与模糊优化[M].北京,科学出版社,1996.
    16彭祖赠.模糊(Fuzzy)数学及其应用[M].武汉,武汉大学出版社,2002.
    17胡宝清.模糊理论基础[M].武汉,武汉人学出版社,2004.
    18李炳辉.湖南省旱情评价指标体系研究[J].湖南水利水电,2006,43(6):86-88
    19王玲玲,康玲玲,王云璋.气象、水文干旱指数计算方法研究概述[J].水资源与水工程学报2004,15(3):15-18.
    20 John Keyantash,John A.Dracup.干旱的定量化,干旱指数的评价[J].干旱气象,2005,23(2)85-94.
    21景毅刚,杜继稳,张树誉.陕西省干旱综合评价预警研究[J].灾害学,2006,21(4):46-49.
    22 SL424-2008,旱情等级标准[S].北京:中国水利水电出版社.2009.
    23梁建茵,吴尚森.广东汛期旱涝成因和前期影像因子讨论[J].热带气象学报,2001,17(2):97-108.
    24陈菊英,肖乾广,盛永伟.距平植被指数1992年特大干旱监测中的应用[J].环境遥感,Vol.9,No.2,1994(5).
    25马宗普.中国重人自然灾害及减灾对策(总论)[M].北京,科学出版社,1994.
    26李克让,尹思明,沙万英.中国现代干旱灾害的时空特征[J].地理研究,1996,15(3):6-15.
    27王劲峰等.中国自然灾害区划[M].北京:中国科技出版社.1995.
    28冯佩芝,李翠金,李小泉,等.中国主要气象灾害分析[M].北京:气象出版社,1985.
    29张养才,何维勋,李世全.中国农业气象灾害概述[M].北京:气象出版社,1991.
    30张德二,刘传志.《中国近五百年旱涝分布图集》续补(1980-1992年) [J].气象,1993,19(11):41-45.
    31张海仑.中国水早灾害[M].北京:中国水利水电出版社,1997.
    32黄荣辉,郭其蕴,孙安健.中国气候灾害分布图[M].北京:海洋出版社,1997.
    33张家诚,周魁一,杨华庭,等.中国气象、洪涝、海洋灾害[M].长沙:湖南人民出版社,1998.
    34范宝俊.灾害管理文库(第一卷)[M].北京:当代中国出版社,1999.
    35中央气象局气象科学研究所.中国近五百年旱涝分布图集[M].北京:地图出版社,1981.
    36潘耀忠,龚道溢,王平.中国近40年旱灾时空格局分析[J].北京师范大学学报(自然科学版),1996,32(1):138-142.
    37王静爱,孙恒,徐伟,等.近50年中国旱灾的时空变化[J].自然灾害学报,2002,Vol.11,No.2:1-6.
    38张旭晖.江苏省近40年农业干旱发生规律[J].灾害学,2000,15(3):42-45.
    39蒋红花.山东省干旱灾害的变化特征及相关分析[J].灾害学,2000,15(3):51-55.
    40林文鹏.福建省干旱灾害的演变及其成因研究[J].灾害学,2000,15(3):56-60.
    41商彦蕊.河北省农业旱灾脆弱性区划与减灾[J].灾害学,2001,16(3):28-32.
    42冯平,等.干旱灾害影响因子分析[J].灾害学,2003,18(2):18-22.
    43王娟,等.吉林西部农业旱灾变化趋势及其成因分析[J].灾害学,2003,18(2):27-31.
    44邢东兴,等.陕西省大旱年发生概率及可能发生的年份预测[J].灾害学,2004,19(4):69-72.
    45黄国勤.江西干旱研究[J].灾害学,2001,16(1):65-70.
    46刘引鸽.西北干旱灾害影响因子分析[J].灾害学,2003,18(2):18-22.
    47王家先,等.安徽省旱灾成因分析及对策[J].灾害学,2004,19(40:46-50.
    48周家斌,黄嘉佑.近年来中国统计气象学的新进展[J].气象学报,1997,55(3):297-305.
    49黄嘉佑,谢庄.卡尔曼滤波在天气分析与预测中的应用[J].气象,1993,19(4):1-7.
    50么枕生.用于气候分析的线性回归模式[J].地理研究,1986,5(3):1-13.
    51 Yan Z,Ye D,Wang C,Climatic Jumps in historical flood /drought chronology in central China[J].Climate Dynamics,1992,(6):156-163.
    52 Ye D,Yan Z,Climatic Jumps in history,Climate Variability,Ye D,etal(eds.)[J]. BeiJing:China meteorological Press,1993,3-14.
    53严中伟.多变量状态空间预测法在旬雨量预测中的应用[J].应用气象学报,1996,7(4):443-451.
    54刘式达,郑祖光,林振山.气候层次理论[A].LASG论文集之二[C].北京:科学出版社,1992.1-5.
    55 Drosdowsky W,Analog (nonlinear) forecasts of the Southern Oscillation Index time series[J],Weather and Forecasting,1994,(9): 78-84.
    56王良健.GM(1,1)模型在湖南严重干旱预测上的应用[J].干旱区地理,1995,18(1):83-86.
    57程桂福,付日辉,李兴云.水旱灾害发展趋势的灰色拓扑预测与应用[J].海岸工程,2001,20(4):56-62.
    58李翠华.应用自激励门限自回归模式对旱涝游程序列的模拟和预测[J].气象学报,1990,48(1):55-62.
    59周锁铨,屠其璞.长期降水量预测途径的探讨[J].气象科学,1994,14(3):233-240.
    60王革丽,杨培才.时空序列预测分析方法在华北旱涝预测中的应用[J].地理学报,2003,58(增刊):132-137.
    61朱晓华,杨秀春.水旱灾害时间序列的分型研究方法[J].安徽农业科学,2000,28(1):35-38.
    62普布卓玛,周顺武.均生函数预测模型在西藏汛期旱涝预测中的应用[J].西藏科技,2002,109(5):43-46.
    63张学成,王志毅.干旱研究中的均值生成函数模型[J].水文,1998,(2):37-40.
    64 Feddes,R.A,Modeling and simulation in hydrologic systems related to agricultural development: state of the art. Agric[J]. Water Manage,1988,(13):235-248.
    65鹿洁忠.农田水分平衡和干旱的计算预测[J].北京农业大学学报,1982,2(8):69-75.
    66李保国.区域土壤水贮量及旱情预测[J].水科学进展,1991,2(4):264-270.
    67孙荣强.旱情评定与灾情指标之探讨[J].自然灾害学报,1994,3(3):49-55.
    68熊见红.长沙市农业干旱规律分析及旱情预测模型探讨[J].湖南水利水电,2003(4):29-31.
    69陈木兵.湘中地区干旱预测模型及应用—以双峰县为例[J].湖南水利水电,2003(3):25-26.
    70范德新,成励民,仲炳凤,等.南通市夏季旱情预测服务[J].中国农业气象,1998,19(1):53-55.
    71赵家良,钞群,毕韬书.农田土壤墒情监测预测抗旱减灾效益好[J].地下水,1999,21(3):118-120.
    72王振龙,赵传奇,周其君,等.土壤墒情监测预测在农业抗旱减灾中的作用[J].治淮,2000,(3):43-44.
    73吴厚水.利用蒸发力进行农田灌溉预测的方法[J].水利学报,1981(1):1-9.
    74康绍忠,刘晓明,熊运章,等.土壤-植物-大气连续体水分传输理论及其应用[M],北京,水利出版社,1992.
    75康绍忠,熊运章.作物缺水状况的判别方法与灌溉指标的研究[J].水利学报,1991(1):34-39.
    76张正斌,山仑.作物水分利用效率和蒸发蒸腾估算模型的研究进展[J].干旱地区农业研究,1997,15(1):73-76.
    77朱自玺.冬小麦水分动态分析和干旱预测[A].国际旱地学术讨论会文集[C].陕西,杨陵,1987,9.
    78胡彦华,熊运章,孙明勤.作物需水量预测优化模型[J].西北农业大学学报,1993,4.
    79王密侠,胡彦华,熊运章.陕西省作物旱情预测系统的研究[J].西北水资源与水工程,1996,7(2):52-56.
    80王密侠,马成军,蔡焕杰.农业干旱指标研究与进展[J].干旱地区农业研究,1998,16(3):119-124.
    81王玉玺,田武文,杨文峰,等.陕西省旱涝季度、年度预测和集成预测方法[J].高原气象,1998,17(4):427-736.
    82李玉爱,郭志梅,栗永忠,等.大同市短期农业气候干旱预测系统[J].山西气象,2001,54(1):38-42.
    83张世法,苏逸深,宋德敦,等.1949-2000中国历史干旱[M].南京:河海大学出版社,2008.

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