Drought analysis of monthly hydrological sequences: a case study of Canadian rivers

Abstract

Two parameters of importance in hydrological droughts viz. the longest duration, L_T and the largest severity, S_T (in standardized form) over a desired return period, T years, have been analysed for monthly flow sequences of Canadian rivers. An important point in the analysis is that monthly sequences are non-stationary (periodic-stochastic) as against annual flows, which fulfil the conditions of stochastic stationarity. The parameters mean, μ, standard deviation, σ (or coefficient of variation), lag1 serial correlation, ρ, and skewness, γ (which is helpful in identifying the probability distribution function) of annual flow sequences, when used in the analytical relationships, are able to predict expected values of the longest duration, E(L_T ) in years and the largest standardized severity, E(S_T ). For monthly flow sequences, there are 12 sets of these parameters and thus the issue is how to involve these parameters to derive the estimates of E(L_T ) and E(S_T ). Moreover, the truncation level (i.e. the monthly mean value) varies from month to month. The analysis in this paper demonstrates that the drought analysis on an annual basis can be extended to monthly droughts simply by standardizing the flows for each month. Thus, the variable truncation levels corresponding to the mean monthly flows were transformed into one unified truncation level equal to zero. The runs of deficits in the standardized sequences are treated as drought episodes and thus the theory of runs forms an essential tool for analysis. Estimates of the above parameters (denoted as μ_av, σ_av, ρ_av, and γ_av) for use in the analytical relationships were obtained by averaging 12 monthly values for each parameter. The product- and L-moment ratio analyses indicated that the monthly flows in the Canadian rivers fit the gamma probability distribution reasonably well, which resulted in the satisfactory prediction of E(L_T ). However, the prediction of E(S_T ) tended to be more satisfactory with the assumption of a Markovian normal model and the relationship E(S_T ) ≈ E(L_T ) was observed to perform better.     

淮河上游地区干旱评价分析

利用淮河上游6个雨量站1964～2000年日降雨资料和邻近气象站气象资料,分别计算各站逐月Palmer干旱指标和雨量距平指标,并对计算结果进行对比分析.结果表明:淮河上游地区旱涝程度具有较强的持续性,夏季干旱多发,不过干旱等级多集中在轻微干旱和中等干旱;秋冬季节则是严重干旱多发的季节;极端干旱多发于春季;相比降雨量较大的淮南地区,淮北地区更为干旱.     

扎龙湿地火烧严重度分析及火灾对丹顶鹤生境的影响

利用ETM 遥感影像资料,分析了扎龙湿地火烧严重度及火灾对扎龙湿地丹顶鹤(Grus japonensis)生境的影响。采用火灾前、后的ETM 影像数据,计算差异性归一化燃烧率(dNBR)和制作扎龙火烧严重度分布图,用综合燃烧指数(CBI)分析植被死亡率对生境变化的影响程度,并分析两者的相关关系;利用两种燃烧指数与对应的高程、植被类型、坡度、功能分区和丹顶鹤巢位等因子叠加分析作为火烧区的评价指标;再根据火烧严重度分类图定量化分析火灾对丹顶鹤生境和巢址变化的影响。结果表明,CBI与dNBR之间有非线性关系(n=59,R2=0.8724);判定高程在148.3~154.6m和坡度在0°~0.185°之间,且分布有大量芦苇(Phragmites australis)沼泽的核心区低洼地易发生火灾;在火烧强度较高的情况下,迫使丹顶鹤选择次适宜的栖息环境,降低了丹顶鹤对隐蔽条件和食物资源的标准,导致丹顶鹤重新选择巢址的位置,其种群数量迅速减少。研究结果对扎龙湿地动物资源可持续发展具有一定的指导意义。     

帕尔默旱度指数方法在全国实时旱情监视中的应用

在进一步修正的帕尔默旱度指数月模式的基础上研制了帕尔默旱度指数日模型,同时采用了权重帕尔默旱度指数方法实现了逐日帕尔默旱度指数计算。经过对全国556个气象测站的参数调试,建立了全国范围帕尔默旱度指数实时业务应用系统,一年多的运行表明,帕尔默旱度指数确实能够较好地及时反映实时旱涝情况和变化过程。     

新疆气候的干湿变化及其趋势预估

利用新疆气象局提供的90个气象台站的连续观测记录, 计算了1961～2003年新疆地区年平均和季节平均自适应Palmer干旱指数的气候态及其变化趋势, 表明新疆地区气候就平均态而言整体上属于正常的气候条件, 研究时段内年平均和季节平均气候以湿润化趋势为主要变化特征, 定性的分析显示地表气温的持续上升倾向于引起干旱化, 而降水的增加则有利于气候的湿润化趋势。在SRES A2温室气体和气溶胶排放情景下, 21世纪90年代新疆地区地表气温的升高会导致干旱化的发生, 而降水的增加则有利于湿润化, 在二者的联合作用下, 新疆地区的干湿状况可能将发生一定程度的变化。