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中国北方沙尘暴灾害形成机理与荒漠化防治研究
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摘要
沙尘暴是在特定的地理环境和下垫面条件下,由特定的大尺度环流背景和天气系统所诱发的灾害性天气,主要发生在沙漠及其临近的干旱与半干旱地区。沙尘暴的频频发生是草原退化、土地荒漠化的指示器、加速器和催化剂,也是生态环境恶化的重要标志,具有重要的警示作用。世界范围内沙尘暴多发区位于中亚、北美、中非和澳大利亚,我国主要分布在西北及华北大部分地区,属于中亚沙尘暴区的一部分,是全球现代沙尘暴的频发区之一。
     开展对沙尘暴及其灾害的深入研究对我国生态环境建设和可持续发展,以及防灾减灾和应对气候变化具有非常重要的意义。鉴于此,论文首先对国内外沙尘暴研究进展进行了系统的回顾和归纳,提出了论文的研究内容和目标。然后,将地面气象资料、遥感资料、以及其他有关资料与数值模式相结合,研究了中国北方沙尘暴时空分布的特征;分析了影响沙尘暴发生发展的主要因素及其相互关系,在此基础上,探讨了沙尘暴灾害形成机理及其内在规律;研究了植被参数变化对沙尘起沙影响机理;通过对现有沙尘暴防治方法与政策的分析,提出了现有方法和政策所存在的弊端,探讨了我国防治沙尘暴的体制机制,提出了新的防治沙尘暴灾害的对策方案。主要研究结论如下:
     1.沙尘暴既是自然灾害,也是人为灾害,同时也是环境灾害(生态灾害)。我国北方大风频繁(尤其是春季),客观上为沙尘暴的发生、发展和强度变化提供了动力条件;长期干旱的背景和脆弱的自然生态环境,加之沙质地表广阔,以及独特的地形、地貌,成为有利于沙尘暴天气的孕灾环境;随着人口增加和人类对土地资源和水资源的不合理利用,对沙尘暴的发生具有加强作用,人类活动的干扰已逐渐成为沙尘暴频发的重要促发因素。总之,沙尘暴及其强度变化是气候因子(风)、环境因子和人类活动共同作用的产物。
     2.中国沙尘暴空间格局总体呈西南-东北分异。中国沙尘暴发生发展的重点区域在西北,并相对集中分布在新疆南部、西藏北部、青海中西部、内蒙中西部、甘肃、宁夏、陕西北部、山西北部、河北北部及河南部分地区。灾害发生的最大、最小年份和多年平均状况的影响界线分布基本一致,只是影响程度不同。
     沙尘暴影响重度区域从11月一直延续到次年6-7月,时间跨度很长,按年内变化趋势可以分为三种类型和两个过渡带。影响较严重的省份达14个省(直辖市、自治区),影响面积达624万平方公里,占我国国土面积的65%,重灾区主要分布于西藏、新疆、内蒙、甘肃、青海和宁夏一带。
     近40—50年来,我国北方沙尘暴天气总体呈下降趋势,有四个区域呈上升趋势,范围比较小,分别是北疆西部,以昭苏为中心;青海西北部,以芒崖为中心;青海东部,以兴海为中心;内蒙古中部,以朱日和为中心。尽管沙尘暴频次总体上在降低,但强度在增加,近年来有增强的趋势。
     内蒙古的荒漠区沙尘暴发生频率高于草原区和农业区,农业区的沙尘暴下降趋势比较明显,农牧交错区的沙尘暴年变率较大,证明沙尘暴发生频率受下垫面生态环境状况的影响。朱日和是内蒙古沙尘暴发生频繁的站点。
     3.中国北方沙尘灾害是气象条件、生态环境和人类活动共同作用的结果。沙尘暴发生日数和持续时间与四季的降水、温度、植被覆盖度和大风日数具有很好的相关性。其中,与降水量和植被覆盖度呈负相关关系,与大风日数和温度呈正相关关系;特别是,上年夏季和本年春季的降水量,以及上年夏季的植被覆盖度和本年春季的温度相关程度最为显著。降水和温度主要通过影响地表植被覆盖度来影响区域沙尘暴的发生频率和持续时间。沙尘暴的频繁发生主要是由于降水的持续减少,使地表干燥及植被覆盖度降低造成的。
     影响春季、全年沙尘暴日数和年沙尘暴持续时间的各因子中,植被覆盖度的周期变化是影响沙尘暴频率的重要影响因子,其次是大风日数和降水量的影响,温度对沙尘暴的影响是最小的,但也是不可忽视的因子。
     大风日数和温度组成沙尘暴产生的动力因子,植被覆盖度和降水组成沙尘暴形成和搬运的阻力因子。动力因子远低于阻力因子,阻力因子是沙尘暴产生的内因所在,而动力因子是外因,当植被覆盖差,降水少,达到了沙尘暴发生的临界状态时,动力因素才能成为沙尘暴产生和搬运的主导因子,从而影响沙尘暴的产生和发展。可见,改善北方干旱半干旱地区的植被覆盖,恢复生态环境,是控制沙尘暴之根本。
     4.影响我国沙尘暴的沙源和移动路径。影响我国沙尘暴天气的主要沙源是起源蒙古国南部的戈壁地区,在途径我国北方沙漠或沙地时得到加强或补充,其次是我国境内沙源所致。影响我国沙尘天气的路径主要分为三类:即偏西路径、西北路径和偏北路径。
     影响北京地区的沙尘暴路径主要是北方路径和西北路径,北方路径:内蒙古乌兰察布盟和锡林郭勒盟西部→浑善达克沙地→张家口→北京;西北路径:新疆东北部至内蒙古阿拉善盟北部→河西走廊→贺兰山分为南北两路→分别经毛乌素沙地和乌兰布和沙漠→包头、呼和浩特→张家口→北京。北京沙尘暴的主要沙尘来源为新疆东北部、阿拉善高原、鄂尔多斯、阴山北坡、浑善达克沙地和坝上高原,只有这些地区的生态环境得到改善,才能减缓沙尘暴对华北地区的影响。
     5.土地退化、草原沙化,植被覆盖度下降是沙尘暴发生发展的指示器、加速器和催化剂。土地利用/覆盖格局的变化,以及土地退化、荒漠化带来的植被覆盖度下降,导致生态环境安全水平大幅下降,是沙尘暴发生发展的指示器、加速器和催化剂。研究结果也表明,土地利用/覆盖变化及植被覆盖度与沙尘暴频次和强度变化有着显而易见的耦合关系,因此,遏制沙尘灾害的治本办法,不在于治理沙尘暴本身,而在于消除产生土地退化、生态安全下降的社会原因,处理好发展与生态环境建设的关系。
     6.采用沙尘天气集成数值预报系统,并与国家气象中心T213全球业务模式的嵌套,将T213模式的分析和预报结果为沙尘天气数值预报系统提供初始场和侧边界资料,着重从叶面积指数变化和植被覆盖度变化对风蚀起沙影响进行数值模拟研究,进一步探讨了植被参数变化对沙尘起沙的内在机理。
     7.分析了人类活动对中国北方荒漠化的影响。几千年来,特别是近代以来,由于人类人口数量的增加和人类活动增多,加剧了北方荒漠化的蔓延,并成为造成荒漠化的不断发展的主要原因。而人类活动主要是通过对水资源、植被、土壤和气候等方面加剧了我国西北地区荒漠化问题。
     8.引入市场机制,吸引社会力量,建立以企业为主体的中国北方荒漠化防治模式。研究提出,在现阶段,我国可以通过引入PPP机制,加强企业和政府部门的合作,解决荒漠化治理过程中的资金短缺、管理落后、效率低下等问题。为进一步有效的治理荒漠化,需要转变我国的政府转变为服务型政府;需要制定优惠的资金政策,明确的产权政策和生态补偿政策来引入市场机制;还需要健全荒漠化治理法律体系,明确各级政府的治理责任,加大对违法犯罪行为的处罚力度保护治理成果和进行持续的宣传教育。
Dust storm is a severe weather induced by a large-scale circulation or a synoptic system, under a given geographic environment or underlying surface condition. It mainly appears in deserts, or in the adjacent arid and semi-arid areas. The frequent occurrence of dust storms makes an indicator, an accelerator, and a catalyst of pastureland degradation and land desertification. It is also a major warning marker indicating the magnitude of ecological environment deterioration. In the global context, dust storms are mainly seen in Central Asia, North America, Central Africa, and Australia. China's dust storms, mostly appeared in the northwest and northern part of the country, constitute a part of the dust storm process in Central Asia. It also makes China one of regions in the world having the most occurrences of dust storms.
     Studying dust storms and associated disasters in a systematic manner is extremely important to understanding a range of other issues, including ecological environment reconstruction, sustainable development, disaster prevention and preparedness, and climate change. In this context, the paper makes a systematic review of the latest progresses achieved in studying the dust storms both at home and abroad, before defining the subjects and objectives for the study. Author studies the spatial and temporal distribution of dust storms in North China, and analyzes the major factors that have an impact on the occurrence and development of dust storms and associated interactions, based on the surface, remote sensing, and other selected data, and the results of numerical modeling. Author also discusses the mechanisms that contribute to the occurrence and development of dust storms and associated internal variations, and examines the approaches that may result in an improved numerical dust storm modeling. In addition, author unveils the disadvantages of the existing approaches and policies dealing with dust storm control, analyzes China's dust storm control system, and proposes new strategies for dust storm control and prevention. The study has produced the following main conclusions:
     1. Dust storm is a man-made disaster, an environmental disaster (ecological disaster), as well as a natural disaster. The northern part of China is notorious for the frequent attacks of large winds, especially in the spring, which creates the needed momentum for the generation and development of dust storms and associated intensity enhancement The long lasting droughts and vulnerable natural ecological environment, the vast sandy surface, and unique terrains have built up an environment desirable for breeding out dust storms. The increased population and irrational utilization of land and water resources has beefed up the occurrence of dust storms like adding insult to injury. As a result, human activities have become a major factor contributing to the frequent occurrence of dust storms. Apparently, dust storms and enhanced intensity are the combined results of climate elements (wind), environmental factors, and human activities.
     2. Southwest-northeast spatial distribution pattern. The northwest part of China is a major region featured with the frequent occurrence and development of dust storms, mostly in the southern part of Xinjiang, the northern part of Tibet, the middle and west part of Qinghai, the middle and west part of Inner Mongolia, Gansu, Ningxia, the northern part of Shan'xi, the northern part of Shanxi, the northern part of Hebei, and some part of Henan. In China, the years having the most or least occurrences of dust storms and the associated multi-year average have show a basically agreed distribution pattern in line with the affected regions, though different in magnitude.
     The regions having most occurrences of dust storms have registered an extended cycle from this November to the following June-July. The inter-annual variations can be grouped into three categories and two transitional belts. 14 provinces, municipalities, and autonomous regions have been hit hard by dust storms, with an affected area reaching 6.24 million square kilometers, or 65% of China's territories. Tibet, Xinjiang, Inner Mongolia, Gansu, Qinghai, and Ningxia are the hard-hit areas.
     In the last four or five decades, the northern part of China has witnessed a basically declining trend for dust storms, though with an ascending trend for four regions: the west part of northern Xinjiang, with Zhaosu as the center; the northwest part of Qinghai, with Mangyan as the core, the east part of Qinghai, with Xinghai as the kernel; and the middle part of Inner Mongolia, with Zhuri as the center. Recent years have witnessed an increasingly enhanced intensity of dust storms, though the frequency is on the down side.
     The desert areas in Inner Mongolia have a higher frequency of dust storm attacks, compared with pastureland and farming areas in the same region. Farming areas have a noticeably low occurrence of dust storms, with a large annual variation of dust storm attacks for the area mixed with fanning and animal raising activities, indicating that the frequency of dust storm attacks is affected by the ecological environment of underlying surface. Zhurihe is an area frequently attacked by dust storms in Inner Mongolia.
     3. Dust storm disasters in the northern part of China are the combined results of meteorological conditions, ecological environment, and human activities. Study shows that the number of days and duration of dust storms are well correlated with rainfall, temperature, vegetation coverage, and days of large winds in different seasons. Specifically, the number of days and the duration of dust storms are negatively correlated with rainfall and vegetation coverage, but positively correlated with the days of large winds and temperature. The correlation is most noticeable in the context of the rainfall of last summer and this spring, the vegetation coverage of last summer, and the temperature of this spring. Both rainfall and temperature bear on the occurrence and duration of dust storms by affecting vegetation coverage. The frequent occurrence of dust storms is mainly associated with the dry surface and reduced vegetation coverage caused by the sustained decrease of rainfall.
     Of the elements affecting the number of dust storm days in the spring and in a year, and the duration of annual dust storms, the cyclic variation of vegetation coverage is a major factor determining the frequency of dust storms, followed by the days of large winds and rainfall. Temperature has the least impact on the occurrence of dust storms, though it remains an element that cannot be ignored.
     The days of large winds and temperature constitute the momentum to blow up a dust storm, while vegetation coverage and rainfall makes an obstacle blocking the formation and transport of dust storms. Momentum is much weaker than the obstacle. In this context, momentum is an internal cause for the occurrence of dust storms. On the other hand, momentum is an external factor. It becomes a dominant factor in inducing a dust storm, and in beefing up the needed transport, when vegetation coverage and rainfall are reduced to such a threshold that it will trigger up the occurrence of a dust storm. It is apparent that the increase of vegetation coverage in arid and semi-arid areas and the restoration of ecological environment in the north offers a key to curbing the occurrence and development of dust storms.
     4. Dust origins affecting dust storms in China and associated tracks. China's dust storms have the sand and dust supply mainly from the Gobi deserts in Mongolia, though also picking up sand and dust when traveling through the deserts or sandy land in the northern part of China. The domestic sand and dust sources likewise contribute to the occurrence and development of dust storms in the country, though to a lesser degree. China's dust storms move mainly in three directions: west, northwest, and north.
     The dust storms affecting the Beijing area either travel along a northerly track, or a northwest track. When moving in the north direction, it travels in the following tracks: Wulanchabumeng and the west part of Xilinguolemeng in Inner Mongolia - Hunshandake Desert - Zhangjiakou - Beijing. In the northwest direction, it goes from the northeast part of Xinjiang to the northern part of Alashanmeng in Inner Mongolia, to the Hexi Corridor, and further to Helanshan Mount. where it diverts in the south and north, to Maowusu Desert and to Wulanbuhe Desert respectively, before heading for Baotou, Hohhot, Zhangjiakou, and Beijing. Beijing's dust storms are fed with a sand and dust supply mainly from the northeast part of Xinjiang, Alashan Plateau, E'erduosi, the northern slope of Yinshan, Hunshandake Desert, and Bashang Plateau. One has to improve the ecological environment of these areas in the first place, if attempting to ease the impacts of dust storms on North China.
     5. Land degradation and grassland desertification. The reduced vegetation coverage makes an indicator, an accelerator, and a catalyst for the occurrence and development of dust storms. The change of land use/cover patterns, and the reduced vegetation coverage caused by land degradation and desertification, has resulted in a compromised ecological security, which in turn becomes an indicator, an accelerator, and a catalyst for the occurrence and development of dust storms. Study results show that the change of land use/cover patterns and vegetation coverage is noticeably coupled with the variations of dust storm frequency and intensity. In this context, the fundamental approach of curbing dust storms has to be addressing the social causes that contribute to land degradation and reduced ecological safety in the first place, rather than controlling dust storms. One has to handle the relationship between the development and the ecological reconstruction in a proper manner.
     6. Comparative analysis of four dust emission scenarios. Comparison results show that the modeling made by Shao (1996), and Marticorena and Bergametti (1995) has produced a dust storm hit area that is noticeably larger than the observed one. The results derived from the modeling of Marticorena and Bergametti (1995), in particular, have an emission that is much higher than the observed one. On the contrary, the modeling results presented by Lu and Shao (1999) have shown an affected area noticeably smaller than the observed one. Shao (2001) has worked out a simulated emission area that is quite close to the real situation, with the prediction products basically in line with the observational data, indicating that the said dust emission scenario yields fine predictions for the occurrence and development of dust storms in China.
     7. Impacts of human activities on the desertification in North China. In the past several thousand years, especially in the contemporary time, the population boom has resulted in increased human activities, which in turn accelerates the desertification in the north. It has also become a major cause for the increasingly expanded desertification in the region. Human activities worsen the desertification in North China mainly by affecting water resources, vegetation, soil, and climate.
     8. Establish a North China desertification control modality with industry as the key player, supported by the market mechanism and private sectors. Author proposes that at the present stage, China shall strengthen the collaborations between industry and government agencies, introducing the PPP mechanism in desertification control, so as to address a range of related issues, including fund shortage, outdated management modality, and low efficiency. To curb the desertification in an effective manner, the Chinese government shall turn itself into a service oriented government, formulating favorable policies on fund raising, ownership, and ecological compensation, and paving the way for the introduction of market mechanism. Efforts shall also be made to enhance the legislations on desertification control, define the terms of reference of government at all levels for the purpose, protect the control results by punishing the criminal act in the area, and keep up a long lasting public awareness raising and education campaign.
引文
[1]石广玉,赵思雄.沙尘暴研究中的若干科学问题,大气科学,2003,27(4):591-603
    [2]史培军,张宏,王平等,我国沙区防沙治沙的区域模式,自然灾害学报,2000,(3):1-7
    [3]王式功,董光荣,陈惠忠等,沙尘暴研究的进展,中国沙漠,2000,4:349-356
    [4]中国气象局,地面气象观测规范,北京:气象出版社,1979
    [5]叶笃正,丑纪范,刘纪远等,关于我国华北沙尘暴天气的成因与治理对策,地理学报,2000,55(5):513-521
    [6]牛若芸,田翠英,毕宝贵,杨克明,王友恒,沙尘暴天气等级,气象标准汇编 2005-2006,北京:气象出版社,2008,25-31
    [7]Joseph P V,Raipal D K,Deka S N.“Andhi”,the convective dust storms of Northwest India.Mausam,1980,31:431-442
    [8]Wolfson N,Matson M.Satellite observations of a phantom in the desert,Weather,1986,41(2):57-60
    [9]周自江,近45年中国扬沙和沙尘暴天气,第四纪研究,2001,21(1):9-17
    [10]夏训诚,黑风暴,北京:科学出版社,1995
    [11]张增祥,周全斌,刘斌等,中国北方沙尘灾害特点及其下垫面状况的遥感监测,遥感学报,2001,5(5):377-382
    [12]Hallkin EH.On dust raising wind sad descending our rents.J.India.Met.Memoirs,1921,22:PartⅥ
    [13]Sutton L.J.Haboobs.Quarteriy Jounal of the Royal Meteorologioal Sooiety.1925,51:25-30
    [14]Idsos.B.,Ingram R.S.,Pritchard J.,An Amerioan Haboob,Bull.AMS.,1972,50,930-935
    [15]Brazel A.J.,Nicking W.C.,The relationship of weather types to dust storm generation in Arizona,J Climatology,1986,6(3):255-275
    [16]Monaughton D.L.,Possibl connection between anomalous antcyclones and sandstoms,Weather,1987,42(1):8-13
    [17]Jauregui E.,The dust storms of Mexico City,International Journal of Climatology,1989,9(2):169-180
    [18]Littmann T.,Dust storm frequency in Asia:Climatc control and variability,Intemational Journal of Climatology,1991,11:393-412
    [19]徐国昌,陈敏连,吴国雄.甘肃省“4.22”特大沙暴分析,气象学报,1979,37(4):26-35
    [20]高凤荣,李云.甘肃河西“5.19”黑风分析,甘肃气象,1989,7(1):13-17
    [21]陈敏连,郭清台,徐建芬,等.黑风暴天气的研究和探讨,甘肃气象,1993,11(3):11(3):16-27
    [22]刘树华,刘新民,李金贵.我国西北地区一次特大沙尘暴的初步分析,北京大学学报(自然科学版),1994,30(5):583-588
    [23]王式功,杨德保,周玉素,等.我国西北地区“94.4”沙尘暴成因探讨,中国沙漠,1995,15(4):332-338
    [24]徐建芬,牛志敏,陈伟民,等.我国西北地区4.5沙尘暴天气研究,中国沙漠,1996,16(3):281-286
    [25]钱正安,胡隐樵,龚乃虎,等.“93.5.5”特强沙尘暴的调查报告及其分析.
    [26]徐建芬,陶健红,杨民,等.2000年4月12日特强沙尘暴天气分析,气象,2001,27(6):22·26
    [27]姜学恭,沈建国,刘景涛,等.导致一例强沙尘暴的若干天气因素的观测和模拟研究,2003,61(5):606-620
    [28]陈豫英,赵广平.两次典型强沙尘暴过程的对比分析,气象,2003,29(9):18-22
    [29]王可丽,江颧,吴虹.2001年春季中国北方沙尘暴的环流动力结构分析,高原气象,2002,21(3):303-308
    [30]刘景涛,钱正安,姜学恭,等.中国北方特强沙尘暴的天气学系统分型研究,高原气象,2004,23(4):540-547
    [31]江吉喜,项续康,王子厚,等.以卫星资料为主的强沙尘暴超短期预报方法初探,见:方宗义编,中国沙尘暴研究,北京:气象出版社,1997,98-102
    [32]胡隐樵,光田宇.强沙尘暴发展与干咫线—黑风暴形成的一个机理分析,高原气象,1996,15(2):175-155
    [33]周秀骥,徐祥德,颜鹏,等.2000年春季沙尘暴动力学特征.中国科学口辑),加02,32(4):327-334
    [34]孙建华,赵琳娜,赵思雄.华北强沙尘暴的数值模拟及沙源分析,气候与环境研究,2004,9(12):139-154
    [35]雷航,林朝辉,孙建华.一个改进的沙尘天气数值预测系统及其模拟试验.气候与环境研究,2005,10(3):669-653
    [36]范一大,史培军,罗敬宁.沙尘暴卫星遥感研究进展,地球科学进展,2003,18(3):367-373
    [37]曾庆存,董超华,彭公炳,赵思雄,方宗义等著,千里黄云—东亚沙尘暴研究,北京:科学出版社,2006,Ⅶ
    [38]YangD.Z.,Acasestudyonsandstorms.ActaMeteorologieasinioa,1991,5(2):150-155
    [39]徐希慧.塔里木盆地沙尘暴的卫星云图分析与研究,见:方宗义编,中国沙尘暴研究,北京:气象出版社,1997:8801
    [40]江吉喜.一次特大沙尘暴成因的卫星云图分析,应用气象学报,1995,6(2):177-184
    [41]方宗义,张运刚,郑新江,等.用气象卫星遥感监测沙尘的方法和初步结果,第四纪研究,2001,21(一):48-55
    [42]范一大,史培军,潘耀忠,等.基于NOAA/AVHRR卫数据的区域沙尘暴强度监测,自然灾害学报,2001,10(4):46-51
    [43]郑新江,陆文杰,罗敬宁,气象卫星多通道信息监测沙尘暴的研究,遥感学报,2001,5(4):300-305
    [44]延昊,侯英雨,刘桂清,等,利用热红外温差识别沙尘,遥感学报,2004,8(5):471-474
    [45]郭妮,倾继祖.NoAA卫星沙尘暴光谱特征分析及信息提取研究,高原气象,2004,23(5):643-647
    [46]高庆先,任阵海,李占青,等.利用EP/TOMS遥感资料分析我国上空沙尘天气过程, 环境科学研究,2005,18(4):96-101
    [47]韩涛,李耀辉,郭泥.基于Eos/MODIs资料的沙尘遥感监测模型研究,高原气象,2005,24(5):757-764
    [48]张仁健,韩志伟,王明星等.中国沙尘暴天气的新特征及成因分析.第四纪研究,2002,22(4):374-380
    [49]康杜娟,王会军.中国北方沙尘暴气候形势的年代际变化.中国科学田辑),2005,35(11):1096-1102
    [50]张莉,任国玉.中国北方沙尘暴频数演化及其气候成因分析,气象学报,2003,61(6):744-750
    [51]王式功,王金艳,周自江,等.中国沙尘天气的区域特征,地理学报,2003,58(2):193-200
    [52]钱正安,宋敏红,李万元.近50年来中国北方沙尘暴的分布及变化趋势分析,中国沙漠,2002,22(2):106-111
    [53]周自江,近45年中国扬沙和沙尘暴天气,第四纪研究,2001,21(1):9-17
    [54]周自江,王锡稳,牛若芸,近47年中国沙尘暴气候特征研究,应用气象学报,2002,13(2):193-200
    [55]周自江,章国才.中国北方典型的强沙尘暴事件(1954—2002年),科学通报,2003,48(11):1224-1228
    [56]尚可政,孙黎辉,王式功,等.甘肃河西走廊沙尘暴与赤道中、东太平洋海温之间的遥相关分析,中国沙漠,1998,18(3):239-2430
    [57]徐建芬,狄潇私,李耀辉.西北地区沙尘暴天气概念模型及分类,西北地区重要天气成因及预报方法研究(陈晓光等主编),北京:气象出版社,2002,129-136
    [58]Schutz L.Saharan Dust Transport in the NE-Tradc Wind Region Over the North Atlantic ocean.In:Proc.Sym.Radiation.1977,1:68-70
    [59]Berkofsky L.A heuristic investigation to evaluate the feasibility of developing a desert dust prediction model.Mon Wea Rcv.,1982,110:2055-2062
    [60]Westphal,Toon O B,Carlson T N.A two-dimension numerical investigation of the dynamios andmicro-physics of Saharan dust storms.Joumal of Geophysieal Research.1987,92:3027-3049
    [61]Westphal,Toon O B,Carlson T N.A case study of mobilization and transport of Saharan dust Joumal of Atmospheric Science.1988,45:2145-2175
    [62]Joussaume S.,Three-dimencnsional dioulations Of the atmospheric cycle of desert dust Particles using a general ciculation model,J.Geophys.Res.,1990, 95:1909-1941
    [63]Cautenet G.,Thermal impact of sallaran dust over land.Part I:simulation.J.Appl.Meteor.,1992,166-180
    [64]Tegen I,Fung I.Modeling of mineral dust in the atmosphere:Source,transport,and optical thickness.J.geophys,Res.,1994,99:22897-22914
    [65]slobldam N,Srdjan.A model for long-range transport of dcsert dust-Monthly weather Revicw,1996,2537-2544
    [66]Shao ya Ping.A model for mineral dust enission,J.Geophys.Res.2001,106(D17):20239-20254
    [67]Nickovic S,George K,Anastasios P.et al.A model for prediction of desert dust cycle in the atmosphere.J Geophys Ros.2001,106:18113-18129
    [68]申绍华,陈受钧.沙尘辐射强迫锋生过程的数值模拟,气象学报,1993,51(3):283-294
    [69]程麟生,马艳.“93.5”黑风暴发展结构和不同模式分辨率的数值试验,应用气象学报,1996,7(4):386-395
    [70]陈伟民,王强,牛志敏,等.中国西北部“4.5”沙尘暴过程中尺度低压的数值模拟,中国沙漠,1996,16(2):140-144
    [71]宋振鑫,程麟生.“93.5”黑风暴扰动能源的诊断分析,兰州大学学报(自然科学版),1997,33(4):116-122
    [72]纪飞,秦瑜.东亚沙尘暴的数值模拟(I)模式建立.北京大学报(自然科学版),1996,32(3):384-392
    [73]刘春涛,程麟生.黑风暴沙尘形成与输送参数化及中尺度数值试验,气象学报,1997,55(6):726-738
    [74]黄美元,王自发.东亚地区黄沙长距离输送模式的设计,大气科学,1998,22(4):625-637
    [75]刘毅,任丽新,周乐义,等.一次黄沙输送过程的数值模拟研究,大气科学,1998,22(6):905-912
    [76]王炜,宋振鑫,邵亚平,等沙尘暴天气数值预报系统及其预报效果检验,气象科技,2005,33(1):25-310
    [77]赵琳娜,孙建华,赵思雄.一次引发华北和北京沙尘(暴)天气起沙机制的数值模拟研究,气象与环境研究,2002,7(3):279-294
    [78]孙建华,赵琳娜,赵思雄.一个适用于我国北方的沙尘暴天气数值预测系统及其应用试验,气候与环境研究,2003,8(2):125-142
    [79]王劲松,李耀辉,康凤琴,等.“4.12”沙尘暴天气的数值模拟及诊断分析,高原气 象,2004,23(1),89-96
    [80]张小曳主编.亚洲沙尘暴及其数值预报系统.北京:气象出版社,2006,Ⅱ
    [81]李耀辉,赵建华,薛纪善,等.基于GRPAES的西北地区沙尘暴数值预报模式及其应用研究,地球科学进展,2005,20(9):999-011
    [82]Pye K.Aolian dust and dust deposits.London:Academic Press Inc Ltd,1987.113-126
    [83]王式功,董光荣,杨德保等,中国北方地区沙尘暴变化趋势初探,自然灾害学报,1996,5(2):86-94
    [84]钱正安,焦彦军.中、美和苏丹强沙尘暴的对比分析,甘肃气象,1997,15(1):1-5
    [85]王式功,金炯,我国西北地区沙尘暴时空分布及其成因分析,北京:中国科学技术出版社,1995,364-370
    [86]董治宝,王式功,王金艳,周自江等,中国沙尘天气的区域特征,地理学报,2003,58(2):193-200
    [87]刘景涛,郑明倩,华北北部黑风暴的气候学特征,气象,1998,24(2):39-44
    [88]全林生,时少英,朱亚芬等,中国沙尘天气变化的时空特征及其气候原因,地理学报,2001,56(4):477-485
    [89]王式功,董光荣,陈惠忠等,沙尘暴研究的进展,中国沙漠,2000,4:349-356
    [90]夏训诚,杨根生,中国西北地区沙尘暴灾害及防治,北京:中国环境科学出版社,1996
    [91]胡金明,崔海亭,唐志尧,中国沙尘暴时空特征及人类活动对其发展趋势的影响,自然灾害学报,1999,8(4):49-56
    [92]卢琦,杨有林,全球沙尘暴警世录,北京:中国环境科学出版社,2001,209-206
    [93]LaDochy S,Annett C H.Drought and dust:a study in Canada's Prairie Provinces.Atmospheric Environment 1982,16(6):1535-1541
    [94]Hurt R D.The dust bowl:an agricultural and social history.Nelson-hall,Inc,1987
    [95]朱福康,江吉喜,征新江等,沙尘暴天气研究现状和未来,气象科技,1999,4:1-8
    [96]何清,赵景峰,塔里木盆地浮尘时空分布及对环境影响的研究,中国沙漠,1997,17(2):119-126
    [97]杨东贞,房秀梅,李兴生,我国北方沙尘暴变化趋势的分析,应用气象学报,1998,9(3):352-358
    [98]张钛仁,西北地区“黑风”成因及预报方法探讨,中国沙尘暴研究,北京:气象出版社,1997,70-74
    [99]胡隐樵,光田宁,强沙尘暴微气象特征和局地触发机制,大气科学,1997,5:581-
    [100]龚道溢,史培军,华北农牧交错带夏季江水变率及其与前期下垫面热力状况的关系,自然资源学报,2001,16(3):211-215
    [101]范一大,史培军,王秀山,潘耀忠,中国北方典型沙尘暴的遥感分析,地球科学进展,2002,17(2):289-294
    [102]顾卫,蔡雪鹏,谢峰等,植被覆盖与沙尘暴日数分布关系的探讨-以内蒙古中西部地区为例,地球科学进展,2002,17(2):273-277
    [103]Bergam etti G.Encyclopedia of Earth System Science,San Diego:Academic Press,1992,171-192
    [104]Jie Xuan.Dust emission factors for environment of Northern China.Atmospheric Environment,1999,33:1767-1776
    [105]Jie Xuan,Guoliang Liu,et al.Dust emission inventory in Northern China.Atmospheric Environment,2000,34:4565-4570
    [106]杨东贞,房秀梅,李兴生,我国北方沙尘暴变化趋势的分析,应用气象学报,1998,9(3):352-358。
    [107]高尚玉,史培军,哈斯等,我国北方风沙灾害加剧的成因及沙化过程的中长期发展趋势,自然灾害学报,2000,9(3):31-37
    [108]Soddoway F H,Chepil W S and Armbrust D V.Effect of kind,amount,and placement of residue on wind erosion control,Transactions of the ASAE,1965,8(3):327-331
    [109]张国平,张增样,赵晓丽,等.2000年华北沙尘天气遥感监测,遥感学报,2001,5(6):466-471
    [110]孙保平,荒漠化防治工程学,北京:中国林业出版社,2000
    [111]朱震达,吴正,刘恕,中国沙漠概论(修订版),北京:科学出版社,1980
    [112]刘连友,王建华,李小雁等,耕作土壤可蚀性颗粒的风洞模拟测定,科学通报,1998,43(15):1663-1666
    [113]Chepil W.S.,influence of moisture on erodibility of soil by wind.Soil Sci.,Sociely American proceedings,1956,20,288-292
    [114]Gillette D.A.,Adams J.,Endo A.et al,Threshold velocities for Inpu of soils particles in the air by desert soils,Joumal of Geophysical Reseach,1980,85(c15):5621-5630
    [115]张宁,黄维,陆荫等,沙尘暴沉降状况研究,中国沙漠,1998,18(1):32-37
    [1]Oliver,M A,Kriging.A Method of Interpolation for Geographical Information Systems.International Journal of Geographic Information Systems,1990,4(4):313-332
    [2]胡金明,崔海亭,唐志尧.中国沙尘暴时空特征及人类活动对其发展趋势的影响,自然灾害学报,1999,8(4):49-56
    [3]邱新法,曾燕,缪启龙,我国沙尘暴的时空分布规律及其源地和移动路径,地理学报,2001,56(3):316-322
    [4]张晓龙,张艳芳,赵景波,近年来中国沙尘暴发生特点、成因及其防治对策,干旱区资源与环境,2001,15(3):31-36
    [5]钱正安,宋敏红,李万元,近50年来中国北方沙尘暴的分布及变化趋势分析,中国沙漠,2002,22(2):243-250
    [6]钱正安,贺慧霞,瞿章等,我国西北地区沙尘暴的分级标准和个例谱及其统计特征,方宗义等,中国沙尘暴研究,北京:气象出版社,1997,1-10
    [7]徐启运,胡敬松,我国西北地区沙尘暴天气时空分布特征分析,方宗义等,中国沙尘暴研究,北京:气象出版社,1997,11-15
    [8]刘钟龄,郝敦元,我国北方草原的荒漠化及其治理,见中国工程院“西北水资源”项目办公室编:西北地区水资源配置、生态环境建设和可持续发展战略研究简报,第18期,2001
    [1]Asrar G,Kanemasu E T,Jackson R D et al.Estimation of total above-ground phytomass production using remotely sensed data.Remote Sensing of Environment,1985,17:211-220
    [2]Tucker C J,Holben B N,Elgin H J et al.Remote Sensing of total dry matter accumulation in winter wheat.Remote Sensing of Environment,1981,11:171-190
    [3]Gutman G,Ignatov A.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models.International Journal of Remote Sensing,1998,19:1533-1543
    [4]Defries R S,Hansen M C,Townshend J R G.Global continuous fields of vegetation characteristics:a linear mixture model applied to multi-year 8km AVHRR data,International Journal of Remote Sensing,2000,21(6-7):1389-1414
    [5]史培军,灾害研究的理论与实践,南京大学学报(自然科学版),1991,(自然灾害研究专辑):37-42
    [6]周淑贞,气象学与气候学,北京:人民教育出版社,1981,110-112
    [7]任阵海.浅谈我国的生存环境问题.气候与环境研究,1999,第1期
    [8]张晓龙,张艳芳,赵景波,近年来中国沙尘暴发生特点、成因及其防治对策,干旱区资源与环境,2001,15(3):31-36
    [9]王涛,陈广庭,钱正安等,中国北方沙尘暴现状及对策,中国沙漠,2001,21(4):322-327
    [10]朱震达,陈广庭,中国土地沙质荒漠化,北京:科学出版社,1994
    [11]陈广庭,近50年北京的沙尘天气及治理对策,中国沙漠,2001,21(4):402-407.
    [12]史培军,我国风沙灾害加剧的成因分析及防沙治沙科技对策,科学技术部,2000c.
    [13]邱新法,曾燕,缪启龙,我国沙尘暴的时空分布规律及其源地和移动路径,地理学报,2001,56(3):316-322
    [14]刘晓春,曾燕,邱新法等,影响北京地区的沙尘暴,南京气象学院学报,2002,25(1):118-123
    [15]史培军,陈晋,潘耀忠,深圳市土地利用变化机制分析,地理学报,2000d,55(2):151-160
    [1]Gillette,D.A.Threshold friction velocities for dust production for agricultural soils.J.Geophys.Res.,1988,93,12645-12662.
    [2]L.M.Leslie,G R.Wightwick,A new limited-area numerical weather prediction model for operations and research: formulation and assessment,Monthly Wea.Rev.,1995,123,1759-1775.
    [3]Lu H,Shao Y.P.Toward quantitative prediction of dust storms: an integrated wind erosion modeling system and its applications.Environment Model & Software,2001,(16): 233-249.
    [4]McVicar,T.R,Walker,J.,D.L.B.,Pierce,et al,Relating AVHRR vegetation indices to in situ measurements of leaf area index.1996,Technical Report 96.5,CSIRO,Division of Water Resources.
    [5]Owen,R.P.,Saltation of uniform grains in air.J.Fluid Mech.,1964,20,225-242.
    [6]Raupach,M.R.,D.A.Gillette,and J.F.Leys,The effect of roughness elements on wind erosion thresholds.J.Geophys.Res.,1993,98,3023-3029.
    [7]Raupach,M.R.,P.R.Briggs,N.Ahmad,and V.E.Edge (2001),Endosulfan transport Ⅱ: Modeling airborne dispersal and deposition by spray and vapor.J.Environ.Qual.,30,729-740.
    [8]Sehmel,G .Particle and gas dry deposition: a review.Atmospheric Environment,1980,14,983-1011.
    [9]Shao,Y.and Leislie,L.M.,Wind erosion prediction over the Australian continent.J.Geophys.Res.,1997,102:30091-30105.
    [10]Shao Y.,Yan Y.,J.J.Wang,Z.X.Song et.al.Northeast Asian dust storms: Real-time numerical prediction and validation.J.Geophys.Res.2003,Vol 108(22),4691-4711.
    [11]Song Z.X.,A numerical simulation of dust storms in China,Environmental Modelling & Software,2004,Vol 19(2),141-151.
    [12]Song Z.X.,Wang J.Y.Wang S.G,,Quantitative Classification of Northeast Asian Dust Events,J.Geophys.Res.,2007,112,D04211,doi:10.1029/2006JD007048.
    [13]Song Z.X.,Bai X.P.,The Impact of Convective Transport and Wet Deposition of Airborne Dust Particles on the Numerical Simulation of Northeast Asian dust storms,IEEE International Conference on Geoscience and Remote Sensing Symposium,2006.IGARSS 2006.doi:10.1109/IGARSS.2006.166,632-635.
    [14]Wyatt V E,Nickling W G.Drag and shear stress partitioning in sparse desert creosote communities,Canadan Journal of Earth Science,1997,34:1486-1498.
    [15]贺大良,邹本功,李长治,等.地表风蚀物理过程风洞实验的初步研究,中国沙漠,1986,6(1):25-31.
    [16]申彦波,沈志宝,杜明远,汪万福.风蚀起沙的影响因子及其变化特征.高原气象,2005,24(3):236-241.
    [17]姜学恭,赵琳娜.一次蒙古气旋型强沙尘暴的数值模拟试验.高原气象,2006,25(4):572-679.
    [18]梁玲,吕世华,柳媛普.黄土高原植被变化对环境影响的数值模拟.高原气象,2006,25(4):575-582.
    [19]韩经纬,沈建国,孙永刚等.一次强沙尘暴和雪暴天气过程的诊断及模拟分析.高原气象,2007,26(5):1031-1038.
    [20]沈建国,姜学恭,孙照渤.地形对沙尘暴的影响及敏感试验研究.高原气象,2007,26(5):1013-1022.
    [21]张钛仁,宋振鑫,王金艳,李自珍等,植被参数变化对沙尘起沙影响机理的数值模拟研究.高原气象,2008,27(2):392-400.
    [1]维西,中国土地,去掉国土脸上的“黄斑”,2007年第8期,30-33
    [2]Dregne H.E.Desertification of Airal Lands,Economic Geography,1977,53(4)
    [3]Glantz,M.H.,and N.S.Orlovsky,Desertification:A review of the concept.Desertification ControlBulletin,1983,9:15-22
    [4]中国荒漠化协调小组办公室.中国荒漠化报告[M],1996,11
    [5]慈龙骏.我国荒漠化发生机理与防治对策[J].第四纪研究,1998,2:97-107
    [6]慈龙骏.全球变化对我国荒漠化的影响[J].荒漠化及其防治,1995
    [7]董光荣,吴波,慈龙骏等 我国荒漠化现状、成因与防治对策,中国沙漠,1999年12月第19卷,第4期,318-331
    [8]李香云,王立新,章予舒等,西北干旱区土地荒漠化中人类活动作用及其指标选择,地理科学,2004年2月,第24卷,第1期,68-75
    [9]关于西北地区水资源配置、生态环境建设和可持续发展战略研究项目
    [10]王乃昂,颉耀文,薛祥燕,近2000年来人类活动对我国西部生态环境变化的影响,中国历史地理论丛,2002年,9月,第13卷,第13期,12-19
    [11]孙金铸,鄂尔多斯草原沙漠化的因素与防治意见,内蒙古师院学报(自然科学版),1981,(1):60-67
    [12]杨莉,荒漠化发展及防治探讨,山西水利,2007年第2期,42-43
    [13]郭绍礼,杜国桓,王钟建,晋陕蒙接壤地区环境整治与农业发展研究(总体研究,北京:中国科学技术出版社,1995,51-52
    [14]张晓龙,张艳芳,赵景波,近年来中国沙尘暴发生特点、成因及其防治对策,干旱区资源与环境,2001年9月,第15卷第3期,31-36
    [15]李香云,王立新,章予舒,西北干旱区土地荒漠化中人类活动作用及其指标选择,地理科学,2004年2月,第24卷,第1期,68-75
    [16]任国玉,郭军,徐铭志等,近50年中国地面气候变化基本特征,气象学报,2005年12月,第63卷第6期,942-954
    [17]张军民,中国西部气候特点及其变化浅析,兵团教育学院学报,2006年第1期,第16卷第1期,23-26
    [18]国家林业局网站,http://www.forestry.gov.cn
    [19]人民网,中国地方领导在线,网址:http://202.99.23.71/GB/channel.79035/80210/80211/200510/08/37285:html
    [20]菜亚林,肩负防沙治沙重任谱写生态和谐乐章,经济,2007年第四期,114-115
    [21]http://greenfood.northeast.cn/system/2005/06/15/050057564.shtml
    [22]包庆丰,李丽丽,荒漠化防治政策实施的经济学分析,林业经济,2007年第四期,56-58
    [23]www.tghl.gob.cn
    [24]公用事业项目融资及其路径选择——基于BOT、TOT、PPP模式之比较分析,冯锋,张瑞青,,软科学,2005(19):6
    [25]孟伟庆,李洪远,鞠美庭,PPPUE模式及在中国的应用前景探讨,环境保护科学,2005(5):63-66
    [26]中国金融网:
    [27]http://active.zgjrw.com/News/2008225//Bank/000309307000.html

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