共查询到20条相似文献，搜索用时 31 毫秒
1.
利用全国575个国家级基本气象站1971年1月1日至2005年5月31日的气象观测资料, 选用了5种已得到国际普遍认可或我国国家级预警业务中使用的森林火险气象指数计算方法, 计算了我国长序列的历史逐日森林火险气象指数, 并对这些指数在我国的实际使用效果进行对比分析和应用研究。结果表明: IFFD, INMC, IN, IMN指数可在我国大范围推广使用 (除长江中下游及附近地区), 其中以IFFD指数总体应用效果最好, IMN指数次之。 相似文献
2.
Alexander Arpaci Chris S. Eastaugh Harald Vacik 《Theoretical and Applied Climatology》2013,114(3-4):393-406
The interpretation and communication of fire danger warning levels based on fire weather index values are critical for fire management activities. A number of different indices have been developed for various environmental conditions, and many of them are currently applied in operational warning systems. To select an appropriate combination of such indices to work in different ecoregions in mountainous, hilly and flat terrain is challenging. This study analyses the performance of a total of 22 fire weather indices and two raw meteorological variables to predict wildfire occurrence for different ecological regions of Austria with respect to the different characteristics in climate and fire regimes. A median-based linear model was built based on percentile results on fire days and non-fire days to get quantifiable measures of index performance using slope and intercept of an index on fire days. We highlight the finding that one single index is not optimal for all Austrian regions in both summer and winter fire seasons. The summer season (May–November) shows that the Canadian build-up index, the Keetch Byram Drought Index and the mean daily temperature have the best performance; in the winter season (December–April), the M68dwd is the best performing index. It is shown that the index performance on fire days where larger fires appeared is better and that the uncertainties related to the location of the meteorological station can influence the overall results. A proposal for the selection of the best performing fire weather indices for each Austrian ecoregion is made. 相似文献
3.
B. J. Stocks M. A. Fosberg T. J. Lynham L. Mearns B. M. Wotton Q. Yang J-Z. Jin K. Lawrence G. R. Hartley J. A. Mason D. W. McKENNEY 《Climatic change》1998,38(1):1-13
In this study outputs from four current General Circulation Models (GCMs) were used to project forest fire danger levels in Canada and Russia under a warmer climate. Temperature and precipitation anomalies between 1 × CO2 and 2 × CO2 runs were combined with baseline observed weather data for both countries for the 1980–1989 period. Forecast seasonal fire weather severity was similar for the four GCMs, indicating large increases in the areal extent of extreme fire danger in both countries under a 2 × CO2 climate scenario. A monthly analysis, using the Canadian GCM, showed an earlier start to the fire season, and significant increases in the area experiencing high to extreme fire danger in both Canada and Russia, particularly during June and July. Climate change as forecast has serious implications for forest fire management in both countries. More severe fire weather, coupled with continued economic constraints and downsizing, mean more fire activity in the future is a virtual certainty. The likely response will be a restructuring of protection priorities to support more intensive protection of smaller, high-value areas, and a return to natural fire regimes over larger areas of both Canada and Russia, with resultant significant impacts on the carbon budget. 相似文献
4.
The most appropriate indices with which to quantify Australian bushfire danger are the McArthur fire danger meters. These meters use meteorological information to produce a fire danger index that is directly related to the chance of a fire starting - and to the severity of a fire once it has started. The Mark 5 forest-fire danger meter uses air temperature, relative humidity and wind speed, plus a drought factor that is calculated using daily rainfall and temperature information.Three years of daily data generated from the CSIRO four-level general circulation model, and thirty years of daily data generated from the CSIRO nine-level model were used to estimate the daily McArthur forest fire danger index for simulations corresponding to present conditions, and to those corresponding to doubled atmospheric CO2. The performance of these models with respect to fire danger was tested by comparing the fire danger index for Sale (in the Eastern part of Victoria, South-eastern Australia) calculated from analysis of daily climatological data with the modelled annual cumulative forest fire danger index for the grid point that was representative of Sale. Data from both models for all Australian grid points were also examined. Both models predict an increase in fire danger over much of Australia for their doubled CO2 scenarios.The results from the models confirm that annually averaged daily relative humidity is the single most important variable in the estimation of forest fire danger on an annual basis, yet the models tend to produce relative humidities that are slightly too low so that the fire danger is overestimated. A simple one-box model of evaporation indicates that the value of relative humidity to be expected under an altered climatic regime depends on the modelled relation between actual and potential evaporation, the present values of relative humidity and evaporation rate, as well as on the expected changes in wind speed. 相似文献
5.
6.
通过对１９８７年１月￣１９９０年４月期间发生在湖北省的森林火灾过程进行分析，建立了一套较客观的火险天气环流形势预报指标，经过３年多的应用，预报效果良好。另外，还利用地面气象要素分析研究出通过计算燃料中水分的得失，从而得到预报火险等级的方法。经过１９９５年１１月－１９９６年１月的检验，结果表明：这一预报方法具有一定的预报技巧，在林火天气预报中能起很好的参考作用。 相似文献
7.
Forest fire danger projections in the Mediterranean using ENSEMBLES regional climate change scenarios 总被引：1，自引：1，他引：0
We present future fire danger scenarios for the countries bordering the Mediterranean areas of Europe and north Africa building on a multi-model ensemble of state-of-the-art regional climate projections from the EU-funded project ENSEMBLES. Fire danger is estimated using the Canadian Forest Fire Weather Index (FWI) System and a related set of indices. To overcome some of the limitations of ENSEMBLES data for their application on the FWI System—recently highlighted in a previous study by Herrera et al. (Clim Chang 118:827–840, 2013)—we used an optimal proxy variable combination. A robust assessment of future fire danger projections is undertaken by disentangling the climate change signal from the uncertainty derived from the multi-model ensemble, unveiling a positive signal of fire danger potential over large areas of the Mediterranean. The increase in the fire danger signal is accentuated towards the latest part of the transient period, thus pointing to an elevated fire potential in the region with time. The fire-climate links under present and future conditions are further discussed building upon observed climate data and burned area records along a representative climatic gradient within the study region. 相似文献
8.
Daily meteorological data at 263 stations in northern China from 1956 to 2005 were used to calculate various forest fire danger weather (FFDW) indices, such as Nesterov Index (NI), Modified Nesterov Index (MNI), Keetch-Byram Drought Index (KBDI), and Forest Fire Danger Index (FFDI), at different time scales. The relationship between each index and forest fire was analyzed. MNI and FFDI were then selected to study the impact on forest fire danger due to climatic change in northern China in the recent 50?years. Results show that forest fire danger has significantly increased in Northeast China where there is the richest forest resource in China, and also increased in North China. However, it has not changed much in eastern part of Northwest China, and the forest fire danger has even significantly decreased in northern Xinjiang. Significant rise of forest fire danger in Northeast China mainly results from the co-effect of increase of temperature, and decreases of humidity and precipitation. Relative humidity change dominants forest fire danger trends in the four forest regions in northern China. 相似文献
9.
重庆市森林火险变化特征及气象条件分析 总被引：1，自引：0，他引：1
利用重庆市34个气象站1961-2007年逐日气象观测资料以及同期NECP/NCAR逐月再分析数据,根据森林火险环境气象指数的定义,研究了重庆市森林火灾变化特征,并对春季和盛夏高森林火险等级下的典型年份的大气环流特征进行了分析。结果表明：重庆林火次数具有明显的年、季、月、日变化特征,盛夏（7-9月）和春季（2-4月）为2个高峰期,其林火次数占全年林火总数的78%,其中8月最多（占全年林火总数的18%）,午后是森林火灾多发时段;春季重庆市高森林火险的大气环流特征表现为：乌拉尔山、贝加尔湖和鄂霍茨克海地区500 hPa位势高度偏低,四川盆地高度场偏高,冷空气在中高纬地区堆积,天气活动主锋区偏北;盛夏重庆市高森林火险的环流特征为：巴尔喀什湖和鄂霍茨克海地区500 hPa位势高度显著偏低,朝鲜半岛位势高度显著偏高,西太平洋副热带高压位置偏北。 相似文献
10.
依据云南省迪庆州3站40年的观测资料，利用统计检验结果，同时结合天气预报的时间和空间尺度理论，论证了迪庆州各旅游景点的气象指数预报。用最靠近景区的气象观测站所提供的天气预报资料和逐时观测资料作为预报景区指数的基础，同时根据景区的经纬度、海拔高度、植被状况进行订正，最终获取旅游景区的特种气象预报指数。旅游景区的特种气象预报软件开发应用天气学、数值方法等理论和业务技术方法，用Fortran语言和vB语言编程，研制了迪庆州各景区的紫外线指数、舒适指数、着装指数、火险等级、旅游气象指数系统。该系统软件已投入业务运行。 相似文献
11.
It is important to perform fire frequency analysis to obtain fire frequency curves (FFC) based on fire intensity at different parts of Victoria. In this paper fire frequency curves (FFCs) were derived based on forest fire danger index (FFDI). FFDI is a measure related to fire initiation, spreading speed and containment difficulty. The mean temperature (T), relative humidity (RH) and areal extent of open water (LC2) during summer months (Dec–Feb) were identified as the most important parameters for assessing the risk of occurrence of bushfire. Based on these parameters, Andrews’ curve equation was applied to 40 selected meteorological stations to identify homogenous stations to form unique clusters. A methodology using peak FFDI from cluster averaged FFDIs was developed by applying Log Pearson Type III (LPIII) distribution to generate FFCs. A total of nine homogeneous clusters across Victoria were identified, and subsequently their FFC’s were developed in order to estimate the regionalised fire occurrence characteristics. 相似文献
12.
地市级专业气象预报服务系统 总被引：3，自引：1，他引：2
利用9210传输的气象资料,通过计算预报因子和预报对象间的相关系数,挑选预报因子,建立多因子权重回归方程,用于气象要素、森林火险气象等级、城镇火险气象等级、空气环境质量等级预报。此外,根据调查指标和实践经验,建立了医疗气象、储运气象、商业气象预报判据。 相似文献
13.
基于遥感技术(RS)和地理信息系统(GIS),利用由基于DEM演算的地面最高温度、最小相对湿度和最大风速等格点化气象要素,FY2静止气象卫星逐日降水反演产品和AVHRR积雪监测产品计算网格森林火险天气等级,结合由植被类型、NDVI、地形要素和公路、人口聚居地等要素评估的森林火险风险等级,综合计算得到网格化的西藏森林火险等级。该项业务程序基于MeteoInfo组件建立,能够实现全自动化业务运行。对于森林火灾事件,通过与基于气象站的森林火险天气等级相比,该方法的准确性更高,能为西藏林区森林防火工作提供有效参考。 相似文献
14.
15.
16.
Long-range forecasting of forest fire danger based on the SLAV model seasonal ensemble forecasts 总被引：1，自引：0，他引：1
V. M. Khan 《Russian Meteorology and Hydrology》2012,37(8):505-513
Developed is a scheme of the long-range forest fire danger (FD) forecasting based on the computation of the Nesterov??s index and on hydrodynamic forecasts of air temperature and precipitation of the SLAV model. The satellite information on the climatic distribution of the snow cover was taken into account for the forecast issuance. It is proposed to express the FD index not using traditional classes of fire danger but in ??above the norm,?? ??norm,?? and ??below the norm?? gradations. Presented are the results of author??s trials of the method based on the retrospective model data for six years. Discussed are the approaches to the improvement of the method of long-range fire danger forecasting. 相似文献
17.
S. P. Malevsky-Malevich E. K. Molkentin E. D. Nadyozhina O. B. Shklyarevich 《Climatic change》2008,86(3-4):463-474
The problem of forest fires is very important for Russia. In this paper we consider this problem in the connection with the
projection of significant climate change. An approach to determine the magnitude of change in wildfire risk in Russia under
the influence of climate warming is discussed. Observations for the European part of Russia and for Siberia have been used
in this analysis. A statistical correlation between drought indices calculated by use of monthly sums of temperature and precipitation
and the frequency of fire danger was obtained for the forest zone of Russia. The change in fire danger potential was evaluated
using temperature and precipitation monthly means at the nodes of a regular spatial grid. Climate change scenarios were obtained
from Global Climate Models (GCM) ensemble projections. The maximum increases (about 12–30%) of the number of days with fire
danger conditions during the twenty-first century fire season were obtained for the southern forest zone boundary in both
the European region of Russia and in Siberia. In the Baikal and Primoriye Regions, fire danger distributions in the twenty-first
century are not projected to change significantly. 相似文献
18.
Extreme weather and conflict may drive forced displacement. However, their individual contribution to displacement is not fully understood due to challenges around isolating individual channels of causality. Here, we use novel disaggregated data on internal displacement in all of Somalia’s subregions from 2016 to 2018 broken down by reported reason of displacement and combine it with weather and conflict data. This allows us to isolate the effects of extreme weather and conflict on forced displacement, as well as the effects of displacement on conflict itself. We find large non-linear effects of weather on displacement where an increase in temperature anomalies from 1 °C to 2 °C (to approx. 1.5 standard deviations, SD) leads to a tenfold increase in displaced people, and a reduction in precipitation from 50 mm to 0 mm (approx. 1.5SD) leads to around a fourfold increase in displacement. We find significant effects of conflict events on displacement (which are masked when the data is aggregated) with a 1.5 standard deviation increase in conflict events increasing displacement 50-fold. We further show that displacement itself has little detectable effect on the occurrence of conflict events. 相似文献
19.
20.
Michael R. Grose Paul Fox-Hughes Rebecca M. B. Harris Nathaniel L. Bindoff 《Climatic change》2014,124(1-2):255-269
Projected changes to the global climate system have great implications for the incidence of large infrequent fires in many regions. Here we examine the synoptic-scale and local-scale influences on the incidence of extreme fire weather days and consider projections of the large-scale mean climate to explore future fire weather projections. We focus on a case study region with periodic extreme fire dangers; southeast Tasmania, Australia. We compare the performance of a dynamically downscaled regional climate model with Global Climate Model outputs as a tool for examining the local-scale influences while accounting for high regional variability. Many of the worst fires in Tasmania and the southeast Australian region are associated with deep cold fronts and strong prefrontal winds. The downscaled simulations reproduce this synoptic type with greater fidelity than a typical global climate model. The incidence of systems in this category is projected to increase through the century under a high emission scenario, driven mainly by an increase in the temperature of air masses, with little change in the strength of the systems. The regional climate model projected increase in frequency is smaller than for the global climate models used as input, with a large model range and natural variability. We also demonstrate how a blocking Foehn effect and topographic channelling contributed to the extreme conditions during an extreme fire weather day in Tasmania in January 2013. Effects such as these are likely to contribute to high fire danger throughout the century. Regional climate models are useful tools that enable various meteorological drivers of fire danger to be considered in projections of future fire danger. 相似文献