运用德尔菲调查—灰色统计法确立水库鱼产力综合评价中的指标权重体系   总被引：1，自引：0，他引：1  

焦念志 《海洋湖沼通报》1992,(4)

本文运用德尔菲方法对水库鱼产力综合评价中指标权重的合理分配问题作了专家调查,并采用灰色统计法对调查结果进行归纳处理,从而确立了一个水库鱼产力影响因素诸层次各方面的评价指标权重体系,可供今后的评价工作参考使用。  相似文献   

Coastal geomorphic evolution at the Denglou Cape, the Leizhou Peninsula     

Wang Lirong  Zhao Huanting  Song Chaojing  Yuan Jiayi  Yu Hongbing 《海洋学报(英文版)》2002,21(4):597-611

ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅＤｅｎｇｌｏｕＣａｐｅ ,ｉｎｔｈｅｓｏｕｔｈｗｅｓｔｏｆｔｈｅＬｅｉｚｈｏｕＰｅｎｉｎｓｕｌａ ,ｉｓａｔｔｈｅｎｏｒｔｈｍａｒｇｉｎｏｆｔｒｏｐｉｃａｌｚｏｎｅ .ＳｅｖｅｒａｌｒｅｓｅａｒｃｈｅｓａｎｄｃａｒｔｏｇｒａｐｈｉｅｓｏｆｔｈｅｒｅｇｉｏｎａｌｇｅｏｍｏｒｐｈｏｌｏｇｙａｎｄＱｕａｔｅｒ ｎａｒｙｇｅｏｌｏｇｙ ,ｗｈｉｃｈｗｅｒｅｃａｒｒｉｅｄｏｕｔｉｎｔｈｅｐａｓｔ,ａｌｌｉｎｃｌｕｄｅｔｈｉｓａｒｅａ (ＭＧＬ ,ＳＣＳＩＯ ,ＣＡＳ ,1 978;ＧＰＣＳＧＲＣＺＴ…  相似文献   

景观指数的粒度变化效应   总被引：66，自引：0，他引：66  

赵文武  傅伯杰  陈利顶 《第四纪研究》2003,23(3):326-333

本文以延河流域的1:250000和1:500000土地利用图为对象,以景观格局分析程序Fragstats3.3为分析工具,探讨了不同比例尺条件下景观指数随粒度增加的变化特征.研究结果表明,随着粒度值由25m到400m的逐渐增加,除斑块丰富度外的景观指数均具有明显的尺度效应,其中聚集度和集合度没有尺度转折点,其他指数具有明显或不明显的尺度转折点.对比分析1:250000和1:500000土地利用格局指数的计算结果可以发现:1)尺度转折点不是一个值,而是一个相对较小的区间;2)尺度转折点与研究图件的比例尺有关,比例尺越大,所发生的第一次尺度转折点的粒度就越小;3)第一尺度域是选择适宜粒度的较好取值范围.对延河流域1:250000土地利用图进行景观指数计算的适宜粒度范围是70～90m,1:500000土地利用图的适宜粒度范围是90～120m.  相似文献   

中国夏季降水异常空间模与副热带高压的关系   总被引：13，自引：6，他引：13       下载免费PDF全文

王晓春  吴国雄 《大气科学》1997,21(2):161-169

本文用1959～1994年6、7、8月全国范围47个5°×5°经纬度网格降水资料分析了夏季降水异常空间模的月际差异，并在此基础上用西太平洋副高指数及青藏高原指数#FKB#FS分析降水异常空间模与环流的关系，为检验环流指数与降水相关场的整体信度，还对8月份降水资料进行了Monte-Carlo检验。结果表明，夏季总降水异常的空间模在每一月份中并非表现得同样清楚，江淮流域与河套及华南的反相关在8月份表现得最清楚。而青藏高原中东部南北两侧的负相关在6月及8月很清楚，7月份次之。8月份西太平洋副高北界异常对江淮流域与河套及华南地区降水异常反相关的产生有很大作用。副高稳定偏北时，河套、华南易涝，江淮易旱。反之亦然。青藏高原指数#FKB#FS与逐月降水的相关分析表明，青藏高原上高压及低涡活动对高原中东部南北两侧负相关的产生有一定作用。当高压活动偏多时，北侧易旱、南侧易涝。并且6月及8月的作用较大，7月较小。另外，8月份副高活动对这一降水异常空间模的产生也有一定影响。  相似文献   

A model for the Am (Km) planetary geomagnetic activity index and application to prediction     

Christian Francq  Michel Menvielle 《Geophysical Journal International》1996,125(3):729-746

We studied the existence of dynamical stochastic relations in the evolution of the am index. A first analysis of the autocorrelation functions showed evidence of several seasonalities. We first used linear (ARMA) models, and it was found that these do not account for the whole internal dynamics of the data series. We then used various non-linear models to provide a better fit to reality. The forecast performances of the non-linear models are not significantly different from those of the linear model. We give a tentative explanation for the failure of the non-linear predictions. Finally, ARCH models were used in order to take into account the fact that the confidence interval for the predicted value depends on past observations.  相似文献   

地史转折期的生态系   总被引：7，自引：2，他引：7  

殷鸿福  童金南 《地学前缘》1997,(Z2)

生态系的演变是地球各圈层系统耦合关系变化的直接标志。地史转折期的生态系具有复杂的生物内涵，在绝灭—残存—复苏过程中，各生物类别的演替遵循着一定的生存型式。大绝灭后生态系复苏的原动力是绝灭后迁入避难所的复活类型和大绝灭末期高压环境中产生的祖先类型的新生和辐射发展。全面了解绝灭后生态系的组成和结构，对于正确认识地史转折期，即圈层耦合结点处的地质作用型式和过程具有重要作用。  相似文献   

应用"极值剔除"和"逐步消空"法建立太原机场11月份辐射大雾预报指标集          下载免费PDF全文

管翔  栗毅 《山西气象》2004,(2):8-10

本文介绍了利用“极值剔除”和“逐步消空”方法建立太原机场11月份辐射大雾预报指标集的具体过程，并对得出的预报指标进行回报检验，以证实其在业务中的切实可行性。  相似文献   

2004年陕西春季沙尘天气环流特征分析          下载免费PDF全文

侯明全  王旭仙 《山西气象》2005,(2):1-4

应用我们已经建立的《阳泉市短期冰雹预报系统》分析预报阳泉市2004年6月份出现的连续冰雹天气,特别是该系统中的指标叠加方法,效果较好。  相似文献   

Leaf area index retrieval based on canopy reflectance and vegetation index in eastern China     

JIANG Jianjun  CHEN Suozhong  CAO Shunxian  WU Hongan  ZHANG Li  ZHANG Hailong 《地理学报》2005,15(2):247-254

The aim of this paper is to investigate the feasibility of using Landsat TM data to retrieve leaf area index (LAI). To get a LAI retrieval model based ground reflectance and vegetation index, detailed field data were collected in the study area of eastern China, dominated by bamboo, tea plant and greengage. Plant canopy reflectance of Landsat TM wavelength bands has been inversed using software of 6S. LAI is an important ecological parameter. In this paper, atmospheric corrected Landsat TM imagery was utilized to calculate different vegetation indices (VI), such as simple ratio vegetation index (SR), shortwave infrared modified simple ratio (MSR), and normalized difference vegetation index (NDVI). Data of 53 samples of LAI were measured by LAI-2000 (LI-COR) in the study area. LAI was modeled based on different reflectances of bands and different vegetation indices from Landsat TM and LAI samples data. There are certainly correlations between LAI and the reflectance of Tm3, TM4, TM5 and TM7. The best model through analyzing the results is LAI = 1.2097*MSR + 0.4741 using the method of regression analysis. The result shows that the correlation coefficient R2 is 0.5157, and average accuracy is 85.75%. However, whether the model of this paper is suitable for application in subtropics needs to be verified in the future.  相似文献   

Greenness Index from Phenocams Performs Well in Linking Climatic Factors and Monitoring Grass Phenology in a Temperate Prairie Ecosystem     

ZHOU Yuke 《资源与生态学报(英文版)》2019,10(5):481-493

Near-surface remote sensing (e.g., digital cameras) has played an important role in capturing plant phenological metrics at either a focal or landscape scale. Exploring the relationship of the digital image-based greenness index (e.g., Gcc, green chromatic coordinate) with that derived from satellites is critical for land surface process research. Moreover, our understanding of how well Gcc time series associate with environmental variables at field stations in North American prairies remains limited. This paper investigated the response of grass Gcc to daily environmental factors in 2018, such as soil moisture (temperature), air temperature, and solar radiation. Thereafter, using a derivative-based phenology extraction method, we evaluated the correspondence between key phenological events (mainly including start, end and length of growing season, and date with maximum greenness value) derived from Gcc, MODIS and VIIRS NDVI (EVI) for the period 2015-2018. The results showed that daily Gcc was in good agreement with ground-level environmental variables. Additionally, multivariate regression analysis identified that the grass growth in the study area was mainly affected by soil temperature and solar radiation, but not by air temperature. High frequency Gcc time series can respond immediately to precipitation events. In the same year, the phenological metrics retrieved from digital cameras and multiple satellites are similar, with spring phenology having a larger relative difference. There are distinct divergences between changing rates in the greenup and senescence stages. Gcc also shows a close relationship with growing degree days (GDD) derived from air temperature. This study evaluated the performance of a digital camera for monitoring vegetation phenological metrics and related climatic factors. This research will enable multiscale modeling of plant phenology and grassland resource management of temperate prairie ecosystems.  相似文献