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1.
Assessing vegetation dynamics impacted by climate change in the southwestern karst region of China with AVHRR NDVI and AVHRR NPP time-series 总被引：6，自引：0，他引：6
The relationship between climate change and vegetation dynamics in the southwestern karst region of China has been identified
by recent studies. Based on previous researches and AVHRR (Advanced Very High Resolution Radiometer) GIMMS (Global Inventory
Monitoring and Modeling Studies) NDVI (Normalized Difference Vegetation Index) (1982–2003) and AVHRR GloPEM (Global Production
Efficiency Model) NPP (Net Primary Production) (1981–2000) datasets, vegetation dynamics impacted by climate change in the
southwestern karst region of China were assessed. The results show that: (1) since the early 1980s, both vegetation cover
density and net primary production have insignificant ascending tendencies. However, the inter-annual variation rates of vegetation
indexes have apparent spatial differentiations; (2) the correlation coefficients between the inter-annual variations of vegetation
indexes and the inter-annual variations of climate factors vary geographically; (3) as indicated by NDVI and NPP, various
vegetation types have different responses to climate change, and the annual mean temperature variation has more significant
impact on vegetation dynamics than the annual precipitation variation in the study area; (4) distribution laws of correlation
coefficients between the inter-annual variations of vegetation indexes and the inter-annual variations of climate factors
in different climate conditions are apparent. All these findings will enrich our knowledge of the natural forces which impact
the stability of the karst ecosystems and provide scientific basis for the management of the karst ecosystems. 相似文献
2.
1981-2006年西北干旱区NDVI时空分布变化对水热条件的响应 总被引：5，自引：1，他引：4
气候是植被变化的重要驱动因子. 利用1981-2006年GIMMS归一化植被指数（NDVI）时间序列数据,结合68个气象站降水、气温数据和DEM地形数据等资料,研究分析了西北干旱区植被活动的年、季变化和空间差异. 结果显示：在1981-2006年的26 a,西北干旱区植被的覆盖率增加了4.5%,年平均NDVI增加了3.2%;植被的生长季延长,主要表现在生长季的推迟. 从总体来说,植被覆盖率、生长季和NDVI值在2000年以前显著增加,而在2000年以后都呈现减小的趋势;其中,减少明显的区域是在伊犁河谷、中天山及平原区,在河流上游山区或源头以及部分河流两岸呈现增加态势;在年际变化上,大部分区域的气温、降水与NDVI相关性不强. 而年平均气温在4.58 ℃以下低温区和年降水在180 mm以上的相对湿润区,气温和降水都呈现正相关;在季节变化上,NDVI值在春季和秋季与温度相关显著,而夏季与降水相关性强. 2000年以后,植被覆盖率和NDVI值开始出现降低趋势与气温持续升高、降水量增幅下降有关. 相似文献
3.
气候变化对中国北方荒漠草原植被的影响 总被引：70，自引：2，他引：70
气候变化对陆地生态系统的影响及其反馈是全球变化研究的焦点之一。利用气候变量实现对遥感植被指数所表示的植被绿度信息的模拟，可以尝试作为表达生物圈过去和未来状态的一种途径。利用1961-2000年的气温、降水和1983-1999年的NOAA/AVHRR资料，分析了中国北方地带性植被类型荒漠草原植被分布区的短尺度气候的年际和季节变化，及其对植被的影响。结果表明，过去40年中该区域年际气候变化表现为增温和降水波动。年NDVI的最大值（NDVImax）可以较好地反映气候的变化，过去17年中NDVImax出现的时间略有提前。综合分析NDVI、植被盖度、NPP、区域蒸散量、土壤含水量及其气候的年际变化，表明增温加剧了土壤干旱化，降水和土壤含水量仍是制约本区植被生长的根本原因。 相似文献
4.
Iraq, the land of two rivers, has a history that extends back millennia and is the subject of much archaeological research. However, little environmental research has been carried out, and as such relatively little is known about the interaction between Iraq’s vegetation and climate. This research serves to fill this knowledge gap by investigating the relationship between the Normalized Difference Vegetation Index (NDVI) and two climatic factors (precipitation and air temperature) over the last decade. The precipitation and air temperature datasets are from the Water and Global Change Forcing Data ERA-Interim (WFDEI), and the NDVI dataset was extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) at 250 m spatial resolution and 16 day temporal resolution. Three different climatic regions in Iraq, Sulaymaniyah, Wasit, and Basrah, were selected for the period of 2001–2015. This is the first study to compare these regions in Iraq, and one of only a few investigating vegetation’s relationship with multiple climatic factors, including precipitation and air temperature, particularly in a semi-arid region. The interannual, intra-annual and seasonal variability for each region is analysed to compare the different responses of vegetation growth to climatic factors. Correlations between NDVI and climatic factors are also included. Plotting annual cycles of NDVI and precipitation reveals a coherent onset, fluctuation (peak and decline), with a time lag of 4 months for Sulaymaniyah and Wasit (while for the Basrah region, high temperatures and a short rainy season was observed). The correlation coefficients between NDVI and precipitation are relatively high, especially in Sulaymaniyah, and the largest positive correlation was (0.8635) with a time lag of 4 months. The phenological transition points range between 3 and 4 month time lag; this corresponds to the duration of maturity of the vegetation. However, when correlated with air temperature, NDVI experiences an inverse relationship, although not as strong as that of NDVI and precipitation; the highest negative correlation was observed in Wasit with a time lag of 2 months (? 0.7562). The results showed that there is a similarity between temporal patterns of NDVI and precipitation. This similarity is stronger than that of NDVI and air temperature, so it can be concluded that NDVI is a sensitive indicator of the inter-annual variability of precipitation and that precipitation constitutes the primary factor in germination while the air temperature acts with a lesser effect. 相似文献
5.
基于GIMMS NDVI的青藏高原植被指数时空变化及其气温降水响应 总被引：7，自引：1，他引：6
青藏高原植被生态系统脆弱, 是研究全球气候变化陆地植被生态系统响应的理想场所。以GIMMS NDVI、 气温和降水及植被类型数据为基础, 利用一元线性回归模型、 相关系数、 偏相关系数及t检验方法, 分析了青藏高原1982 - 2015年NDVI时空变化及其气温降水响应特征, 结果表明： 1982 - 2015年青藏高原NDVI时间变化过程总体表现为不显著的增加过程, 空间变化以显著增加为主, 占总面积的63.26%, 分布在高原北部、 西部和南部; 显著减少集中分布在高原中东部和东南部, 仅占总面积的3.45%。青藏高原主要植被类型NDVI平均值表现为： 阔叶林>针叶林>灌丛>草甸>高山植被>草原>荒漠, 其中草原、 高山植被和荒漠植被NDVI呈显著线性增加过程, 灌丛、 针叶林和阔叶林植被的NDVI呈不显著的减少过程。青藏高原NDVI与气温相关系数空间上呈南北向分布, 具有纬度地带性特征, 显著正相关分布在高原中北部, 显著负相关分布在高原中南部; NDVI与降水的相关系数呈东西向分布, 具有干湿度地带性特征, 显著正相关分布在高原中部, 显著负相关分布在高原东西两侧。研究认为1982 - 2015年青藏高原北部水热条件缺乏区域NDVI出现显著增加趋势, 而高原东南部水热条件充足地区NDVI呈现出显著减少趋势。深入开展植被类型NDVI气候响应的差异性研究, 有助于深入理解全球气候变化影响的区域差异及科学制定植被生态保护政策。 相似文献
6.
近20余年来西北地区植被变化特征分析 总被引：27，自引：0，他引：27
利用1982—2003年8 km分辨率的NDVI数据集,选中国西北地区森林、草原、灌溉农业、雨养农业区不同类型植被为研究区,分析了植被年、年际变化特征,并对植被覆盖空间变化进行动态研究.结果表明:森林、草原、灌溉农业区和以春小麦为主的雨养农业区NDVI年变化为单峰型曲线,以冬小麦为主的雨养农业区NDVI曲线呈双峰型;同一类型的植被NDVI受纬度或海拔高度的影响,绿峰出现时间存在1个月的位相差.22 a来森林植被NDVI多呈下降趋势,草原植被区为上升趋势;雨养农业区变化不大,灌溉植被区呈显著的上升趋势.西北东部雨养农业区植被波动频率和幅度最大,是受降水影响最敏感的地区;森林植被次之;有灌溉条件的绿洲植被,年际间波动最小.22 a间西北地区植被以增加趋势为主,增加面积约为20.5%,主要分布在新疆和河西走廊绿洲、黄河沿岸灌区以及青海草区,水分条件充足的绿洲是NDVI增加最显著的区域;NDVI减少地区面积为4.77%,主要分布在西北东部. 相似文献
7.
使用2009年DOY (Day of Year) 145~288时段与2001~2010年夏季(DOY 161~240时段)的Terra/MODIS 16 d合成的植被指数产品数据MOD13 A2和8 d合成的地表温度(Land Surface Temperature,TLS)产品数据MOD11 A2,构建TLS~IEV(Enhanced Vegetation Index,IEV)特征空间,从而得到了条件温度植被干旱指数(Temperature Vegetation Drought Index,ITVD)反映的藏北土壤湿度空间分布。对藏北高原2009年植被生长季内土壤湿度的季节性变化及2001~2010年夏季土壤湿度的年际变化特征进行分析,研究结论表明:随着植被盖度的增大,干、湿边斜率逐渐变小,植被对环境温度的变化具有缓冲效应;藏北高原土壤湿度的季节性变化明显,主要受温度、降水、植被覆盖和冻土过程等季节性变化的影响;近10年研究区内土壤湿度有轻微的旱化趋势,但不同气候区内的年际变化表现不一致;气温表现不同程度的显著升温趋势,部分站点的降水有不显著减少趋势,其它站点降水表现为年际波动,而区域统计的ITVD值年际波动与站点气温的变化大体一致。 相似文献
8.
The Tibetan Plateau is one of the most important ecological barriers in China.Resolving the internal relations and dynamics ruling the association between regional vegetation and climate change is important to understand and protect the regional ecosystems.Based on vegetation,temperature and precipitation data of the Tibetan Plateau from 2001 to 2010,we analyze the spatial and temporal variations of vegetation cover over the past 10 years and discuss the vegetation response to climate change using empirical orthogonal function and singular value decomposition.Our results reveal the following：（1） vegetation cover gradually decreases from the southeast to the northwest of the Tibetan Plateau; （2） vegetation cover has increased on the Tibetan Plateau over the past 10 years,mainly in the central and eastern zones; and （3） a significant positive relationship was suggested between vegetation cover during growing season and the temperature in the entire region and with precipitation in the central and southern zones. 相似文献
9.
Runoff, which is a key component in the hydrological cycle, is mainly controlled by climate factors and land-surface elements in non-humid regions. The impacts of climate and vegetation changes on runoff based on Budyko hypothesis in the middle and upper reaches of the Pearl River Basin was analyzed in this article. First, the temporal trend of variables in the study area during 1981-2013 was examined by using the Mann-Kendall trend test with trend-free pre-whitening. Second, the relationship of the parameter n in Fu's equation with factors of climate and vegetation coverage was built to reveal the time-variation process of n. Finally, the effects of climatic factors and vegetation coverage on runoff were assessed by analyzing the sensitivity of runoff to each variable. It is found that average temperature (T), maximum temperature (Tmax) and minimum temperature (Tmin) in the study area present an increasing trend while runoff (Q), precipitation (P), wind speed (u2) and relative humid (RH) present decreasing trend. The parameter n in Fu's equation is significantly related to both climatic factors (including precipitation (P), average temperature (T), relative humid (RH), sunshine duration (S), wind speed (u2)) and vegetation coverage index (NDVI). In terms of sensitivity of Runoff (Q) to the variation of each climatic factors and NDVI in the middle and upper reaches of the Pearl River Basin, precipitation (P) and NDVI have the highest sensitivity, followed by other climatic factors. Additionally, the precipitation (P) reduction is the main driving factor to the decline in runoff, while vegetation coverage is another important factor. In general, climate change affects runoff not only by changing the hydrological inputs (precipitation (P) and potential evaporation (PET) but also by altering the watershed characteristics as represented by the parameter n, while the impacts of vegetation coverage on runoff are exerted mainly through the alteration of the watershed characteristics. 相似文献
10.
1982～2015年渭河流域植被变化特征及气候因素影响 总被引：1，自引：0，他引：1
基于GIMMS NDVI3g（the third generation of Global Inventory Modeling and Mapping Studies Normalized Difference Vegetation Index）数据,结合趋势分析、Mann-Kendall检验和Pearson相关分析等方法,识别了渭河流域19822015年不同时间尺度（年、月及季节）植被NDVI的动态变化特征及气候因素影响。结果表明,近34年渭河流域NDVI呈现增长趋势,且20002015年NDVI较19821999年显著增长,趋势线斜率分别为0.003和0.001,退耕还林后植被覆盖状况明显改善;年均NDVI与气温呈显著正相关,与降水的正相关性较弱;月均NDVI与气温和降水都表现为显著正相关,相关系数分别为0.926,0.743;春秋季NDVI与气温呈现显著正相关,夏季NDVI与气温、降水的相关性不明显,冬季NDVI与前期气温存在滞后相关。 相似文献
11.
In this paper, temporal dynamics of eco-environmental changes in coastal areas of China during 1981–2000 are investigated
based on four key surface parameters including normalized difference vegetation index (NDVI), thermal index, moisture index
and surface broadband albedo derived from quantitative remote sensing techniques and meteorological data. Firstly, land surface
temperature (LST) and land surface broadband albedo are retrieved by the split-window algorithms and high-order polynomial
regression method, respectively, using NOAA/AVHRR series images. Then, moisture index and thermal index, indicators of climate
and moisture conditions in the study area, are computed from meteorological data and LST using principal component analysis
(PCA). Finally, long-term dynamics of these eco-environmental factors and the reasons responsible for these changes are analyzed
further. The results show that during the years from 1981 to 2000, the study area experienced a gradual increase in annual
NDVI and climate factors and a decrease in surface annual broadband albedo, which indicates that the coastal thermal and moisture
conditions and the subsistence conditions of natural vegetation have changed to a considerable extent. According to the results,
a warming and wetting tendency over the last two decades is obvious in the China’s coastal zone that are mainly due to land
use changes as of growing urbanization, exhaust emissions from industries and transportations and, partly global climate change.
Uncontrolled rapid development of the study area may be blamed for these negative changes as a major driving force. The positive
feedback mechanisms between albedo, NDVI and climate factors also partly explain these changes. This study suggests that the
method integrating biophysical parameters retrieved from remote sensed images and meteorologic data provides a novel and feasible
way to monitor large scale eco-environmental changes.
相似文献
| Q. QinEmail: |
12.
Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data 总被引：1，自引：1，他引：0
Hanchen Duan Changzhen Yan Atsushi Tsunekawa Xiang Song Sen Li Jiali Xie 《Environmental Earth Sciences》2011,64(4):1011-1020
The Three-North Shelter Forest Programme (TNSFP) covers 551 Chinese counties and an area of 4,069,000 km2 mostly in arid and semi-arid regions. In this paper, we discuss the temporal and spatial changes in value of the normalized-difference
vegetation index (NDVI) in this region, and the relationships between NDVI and climatic factors (temperature and precipitation)
based on NOAA Advanced Very High Resolution Radiometer Global Inventory Modeling and Mapping Studies NDVI data with 8-km resolution
from 1982 to 2006. During the past 25 years, the vegetation cover has generally increased in eastern regions of China and
the oasis in the north piedmont of Tianshan Mountains, but has decreased northwest of Xinjiang and in the Hulunbeier Plateau.
The multi-year monthly average NDVI distribution map showed that NDVI increased from April to August, but in the western and
northern plateau areas, the lower temperatures and high altitude created a shorter growing season (1 or 2 months). The vegetation
of the study area has generally increased in the regions covered by the TNSFP. Linear regression analysis of the vegetation
cover showed an increasing trend over large areas. The largest annual growth rate per pixel (the slope of the regression)
was 0.009; the largest negative annual change was −0.004. The correlation between NDVI and precipitation was higher than that
between NDVI and temperature, suggesting that precipitation is the most important factor that affects NDVI changes in the
study area, especially for temperate desert vegetation in northwestern China. 相似文献
13.
A daily surface soil moisture model described and tested previously with data from the Phoenix, AR (USA) area, has been applied now to climate data collected in semi-arid Botswana over a multi-year period. The physically based model was calibrated with observed surface moisture data from one growing season and validated with data from another. Good overall agreement (r2 = .89) was found between the observed and modelled data. The seasonal variability of precipitation in this region is reflected in the simulated daily surface moisture. The response of the natural savanna vegetation as observed from monthly composites of satellite-derived Normalized Difference Vegetation Index (NDVI) is also monitored for the same period. It is seen that the NDVI peaks at different times during the rainy season from one year to the next, according not only to the total seasonal precipitation, but its temporal distribution as well. It is also seen that there is a delay in intraseasonal vegetation response. While the NDVI is poorly correlated with the current month's average soil moisture, a distinct relationship with the previous month's average soil moisture was found. 相似文献
14.
中国东北样带NDVI的季节变化及其与气候因子的关系 总被引：20，自引：0，他引：20
NDVI是研究大尺度生态学问题一个非常有用的指数,它可以为估价全球植被动态模型提供足够的信息.中国东北样带是全球变化研究中首选样带之一,本文分析了分辨率为1km×1km的NDVI年内季节变化的两个特征值:年均NDVI(NDVI-I)和NDVI年内极差(NDVI-MM)在样带内5种不同植被类型间的变化及其与年平均气温和降水量之间的相关关系.结果表明,NDVI具有明显的季节变化格局,NDVI-I和NDVI-MM由东到西均呈下降趋势,NDVI-I与降水量具有显著的线性回归关系,降水量能够解释NDVI-I和NDVI-MM空间变异的绝大部分.这一结果说明NDVI反映了植被沿环境梯度的时空变化格局,可用于监测样带植被对气候变化的响应. 相似文献
15.
1998—2007年新疆植被覆盖变化及驱动因素分析 总被引：14，自引：1，他引：13
利用1998-2007年SPOT VGT归一化植被指数(NDVI)数据对新疆植被覆盖的年际和空间变化进行了动态监测,并从气候变化和人类活动双重角度分析了植被覆盖演变的原因.1998-2007年新疆植被覆盖变化经历了2个阶段:1998-2001年植被覆盖严重退化时期;2002-2007年植被覆盖由急剧上升到缓慢下降再到持续升高时期,NDVI明显高于20世纪末期水平.新疆植被覆盖变化存在显著的空间差异,阿尔泰山地森林、巴音布鲁克草原等自然植被NDVI明显退化,农业灌溉区和生态建设地区的植被覆盖明显提高.从不同的土地利用类型来看,沙地和耕地的NDVI上升趋势显著,林地和草地植被的NDVI退化严重.研究表明,新疆植被覆盖变化是气候变化和人类活动共同作用的结果.温度对植被覆盖变化的影响表现为对植被生长年内韵律的控制和春季植被生长期的延长,年降水量的波动式下降是导致新疆植被覆盖变化呈现2个阶段的主导冈素.农业生产水平的提高是新疆农业灌溉区NDVI不断上升的重要原因,同时,近年来大规模实施的生态建设工程所带来的生态效应正在呈现. 相似文献
16.
Based on GIMMS NDVI data of Qilian Mountains region during 1982-2006, using the maximum synthesis, mean method, slope analysis and correlation analysis, the spatial and temporal changes of vegetation cover and its correlations with climatic factors were studied in Qilian Mountains. The results showed that: ①Vegetation NDVI of Qilian Mountains increases from west to east in general, showing the distribution pattern of much more vegetation in east regions than in west regions; ②Vegetation NDVI of Qilian Mountains has generally increased in the past twenty five years, but there are obvious spatial differences, especially vegetation NDVI of middle and east regions increase obviously; ③There have been obvious differences on spatial variation of seasonal NDVI in the past twenty five years in Qilian Mountains, and the increased area of vegetation NDVI is the largest in summer, followed by autumn, spring, but the most reduced area of vegetation NDVI is in winter. The regions of increased vegetation NDVI concentrate on southern mountain of Qinghai Province and in Buha River Basin, while the regions of reduced vegetation NDVI concentrate on Wushaoling, Lenglongling and Daban mountain in each season; ④The correlations between monthly average vegetation NDVI and temperature and precipitation are very significant, which indicates that temperature and precipitation are the main factors affecting the change of vegetation NDVI in Qilian Mountains, but intensive human activities are also important factors affecting the change of vegetation NDVI in some areas. 相似文献
17.
为了解森林退化的原因,利用2000-2015年的MODIS NDVI数据,在分析贵州省植被变化趋势的基础上识别了归一化植被指数（NDVI)显著下降的区域,并在NDVI显著下降区选取面积大于10 km2的森林图斑为兴趣区,分析其内气候变化趋势及对森林NDVI值的影响。研究表明:197个兴趣区主要分布在贵州省西北部的赤水—习水、东北部的梵净山和东南部的非喀斯特区域;区内春、夏季NDVI变化趋势与年NDVI值变化趋势一致,下降速率达到-0.01·yr-1,冬季与其他季节变化趋势相反,呈不显著升高趋势;区内春季和夏季气温升高显著,降水和日照时间无明显变化,整体气候变化呈暖干趋势;夏季温度升高是NDVI降低的主要驱动因素。 相似文献
18.
格尔木河流域植被指数时空分布及其影响因素研究 总被引：2，自引：0，他引：2
格尔木河流域气候干旱少雨,生态环境较脆弱,植被动态对其生态环境保护具有重要意义。基于连续序列的MODIS NDVI数据,分析了格尔木河流域植被指数时空分布及其影响因素。结果表明:研究区NDVI平均值总体较小,主要在0.10～0.12间波动,但呈增大趋势。区内植被改善区分布在格尔木市东、西两侧,基本不变区为荒漠地区,植被退化区分布在北部盐湖区。区内裸土的面积逐渐减小,低覆盖率和高覆盖率植被的面积逐渐增加。研究区植被生长与气象、土壤水分和地下水位埋深都有关系。气温与植被指数相关关系较好,相关系数为0.822,而降水对植被的生长也有一定的作用。植被指数与表观热惯量是正相关关系,相关系数为0.979。区内植被的地下水位埋深范围为0～12 m,在水位埋深约为6.5 m的地方,植被长势最好。 相似文献
19.
The Parana River is one of the most important fluvial systems of South America and its floodplain includes the most diverse subtropical ecosystem on the continent. However, the relationship between basic aspects, such as the vegetation and geomorphology of the river floodplain, has scarcely been investigated. In this paper, the annual dynamics of vegetation in relation to the geomorphologic and hydrological characteristics of a river floodplain around 31° 30′ S, are analyzed. The annual dynamics of vegetation was investigated using values of the Normalized Difference Vegetation Index (NDVI) obtained from satellite images at two scales of spatial analysis: the first, at the geomorphologic unit level, through several transects crossing the total width of each unit and, the second, through some transects selected from each unit. Our analysis considered variables of different temporal stability (such as geomorphology, hydrology, vegetation, precipitation, and ground temperature), using scenes corresponding to two hydrological cycles of the system (2009 and 2010), which represented relatively “dry” and “humid” years. Five main geomorphologic units were identified in the floodplain of this anabranching system, which were named considering the predominant landforms and the most important (or typical) water course of each area: Bars and Islands of the Main Channel of the Parana River (BI-MCH), Scroll Bars of the Colastine Branch (SB-C), Scroll Bars of the San Javier River Channel (SB-SJ), Crevasse Splays and Levees of the Malo–Mendieta minor channels (CSL-MM), and Crevasse Splays and Levees of the Santa Fe–Coronda river channels (CSL-SFC). These major units are assembled at different general levels and with variable slopes, which partially control the permanence and other characteristics of the flood flow. The crevasse splays and river levees units were predominantly characterized by herbaceous–bushy marshy vegetation, with low mean NDVI values, while SB-C and BI-MCH units showed two types of forests. The latter showed the highest NDVI values. Unit SB-SJ showed mixed characteristics between the two above-mentioned groups. Mean NDVI values were different among the varying geomorphologic units and during the studied years, showing extreme values of 0.25 and 0.80 after both hydrological cycles. According to our results, the main variations in the seasonal dynamics of vegetation show a higher dependence on the dynamics of the hydrological cycle than on surface temperature or precipitation. The hydrological dynamics of the Parana River floodplain are in turn regulated by its geomorphological architecture, so the annual dynamics of vegetation activity in this system are finally influenced by the geomorphologic unit's level, rather than by the short duration modeling processes (i.e., hydrological cycles or drought–flood pulses). 相似文献
20.
为更好地研究降水时间序列的非线性特征,基于不同时间尺度0-1测试方法识别黑龙江省30个气象站1958~2011年降水时间序列的混沌特性。分别以三个不同时间尺度月系列、季系列、半年系列的渐进增长率中位值最小的北林站、漠河站、牡丹江站为代表说明黑龙江省各气象站均存在混沌特性,月系列和半年系列混沌特性较强,季系列混沌特性较弱。为研究全省范围内降水混沌特性空间分布规律,对各气象站K值进行克里金插值。空间分布结果表明,混沌特性在月降水系列呈现较为明显东西向的分带性,在季系列和半年序列并未呈现出明显的分带性;得出结论:不同时间尺度降水系列均产生混沌现象,混沌识别结果与气候类型、地形特征、人类活动特征相互支撑,为降水系统非线性特征提供一定参考。 相似文献