用时间序列模拟和预报天山乌鲁木齐河源1号冰川年径流总量

本文把1958—1984年天山乌鲁木齐河源1号冰川的融水径流总量的时间序列X(t),分解为趋势项L(t)、周期项P(t)、平稳项S(t)、随机项ε(t),使该时间序列表示为X(t)=L(t)+P(t)+S(t)+ε(t)。采用非线性回归提取L(t),用谱分析和Fourier级数提取P(t),余差用自回归方程建模,用上述项的叠加作出预报,按相关指数公式计算R=0.90,效果良好。     

里下河地区极端降水时空变化及未来趋势分析

随着全球变暖,极端天气事件逐渐增加,影响着社会经济发展,揭示区域极端降水时空变化对防洪减灾具有重要意义。基于1960—2019年的逐日降水,通过MK趋势检验、小波分析、重标极差以及克里金插值方法,从强度、频率和持续性三方面分析里下河地区的极端降水指数,并进一步探究其未来趋势变化。结果表明：（1）里下河地区多年平均降水为1017.25 mm,呈不显著增加趋势;空间分布差异明显,总体呈自西北向东南逐渐增加的分布。（2）研究区内各站点极端降水指数变化不同,总体而言,极端降水强度、频率均呈现增加趋势,持续性呈减少趋势。（3）极端降水指数变化过程中存在3类尺度的周期性变化,在整个时间尺度上存在3个偏多中心和2个偏少中心。（4）除R10mm和R20mm未来变化趋势与过去趋势相反且呈弱持续性,其他极端降水指数未来变化趋势与过去相一致,且过去总体趋势对未来趋势的影响时间长度在9~16年左右。研究结果为里下河地区科学合理应对气象灾害、合理配置水资源提供依据。     

鲕粒成因研究的新进展

鲕粒的成因一直是一个谜一样的沉积学难题。Brehm等在2006年的实验室研究的结果表明,将鲕粒的形成可以与叠层石进行类比,是一个特殊的球状微生物席的产物,从而将鲕粒归为微生物成因。最近,来自于巴哈马现代鲕粒的研究,Duguid等在2010年认为,鲕粒形成与微生物活动不存在一个直接的关系,重新强调了鲕粒形成的化学过程,即...     

Spatial and temporal pattern of precipitation and drought in Gansu Province, Northwest China

Drought is one of the most harmful natural hazards in Gansu Province in Northwest China. The changes of precipitation affect the severity of drought. In order to recognize the trend of precipitation and understand the effect of rainfall change on water resources management and drought severity, Mann–Kendall test was used. Standardized Precipitation Index (SPI) was calculated to reconstruct the drought at different time scales and analyze the frequency of drought occurrence in the recent 50 years. The results show that the SPI is applicable in Gansu Province. The number of severe droughts differs among regions: it is more obvious as a 3-month drought in the Yellow River Basin and the Yangtze River Basin than in the Inland River Basin, and other droughts at 6-, 9-, and 12-month time scales have the same effect in the three regions. Mann–Kendall test results show that there is an upward trend in the summer periods and a downward trend in the autumn-winter-spring intervals ranging from 10.5 mm/10 years to −37.4 mm/10 years, which affect the local water resources management, droughts mitigation, and agriculture decision making. This situation poses challenges for future study.     

50a来洮河流域降水径流变化趋势分析

洮河流域 40多年水文实测资料分析表明 ,由于受气候变化及人类活动影响 ,流域降水和径流特征发生了明显变化 ,降水与径流总体呈下降趋势 ,其下降的线性斜率分别为 - 0 .86～ - 1.34mm·a-1和 - 1.5 7～ - 3.36m3·s-1·a-1;而气温呈缓慢上升趋势 ,其上升的线性斜率为 0 0 2℃·a-1.降水的减少和温度的升高已经导致甘南草原荒漠化 ,使许多湿地和湖泊干涸 ;径流的减少和温度增加在近2 0a来有进一步加剧的趋势 .     

兰州雨量谱的气候变化与极端化趋势

利用兰州站1951-2005年逐日降水观测资料,进行雨量划分级别,分析了55 a来兰州分级降水雨量谱和极端降水的气候变化和发展趋势.研究表明:兰州年降水量逐年波动下降,长期变化趋势为每10 a下降9.0 mm,近20 a达到每10 a下降22.6 mm;年降水日数的长期变化趋势为每10 a下降3.6 d,近20 a为每10 a下降3.7 d.主要是由于小、中雨级的降水减少明显造成.兰州近20 a大雨以上级别的极端降水量增多,变化趋势为每10 a增加9.9 mm,年降水日数的变化趋势为每10 a增加0.4d.兰州年降水强度的长期变化趋势为每10 a上升0.1 mm·d1,其中小雨、中雨级别的贡献并不明显,主要的增加贡献是由大雨以上级别的降水强度增加所导敢的.极端降水的强度在近20 a的变化趋势为每10 a增加5.7 mm·d-1.兰州近20 a的年降水量中极端降水量占的比例由15.9%上升至1 6.2%;极端降水日数增加,其比例从1.8%上升至2.0%,在2000年极端降水所占的比例更是达到雨量的25.4%和雨日的4.0%水半,呈现出向极端降水增强的发展趋势.     

考虑时变影响的拱坝坝肩空间变形场预测

坝肩变形是拱坝坝肩稳定状态的综合反映,在运行期呈小变形变化,监测点测值在空间上具有连续性,同时影响拱坝坝肩变形的各种因素具有时变性。通过融合统计回归和多层递阶方法的特点,建立了反映变形场空间和时变特性的空间时变分析模型。实例分析表明,该模型实用有效,预测精度高。考虑时变影响可以提高拱坝坝肩空间变形场的预测能力,对监控拱坝坝肩的实际工作状况有重要意义。     

1543—2001年北疆区域年降水量变化特征分析

征,同时200 a左右的周期变化特征也较为明显,且不同历史时期的周期变化特征存在明显差异.突变检验表明,均值突变尺度在50～100 a尺度上更为明显,公元1613-1643年,1731-1792年的突变表现为年降水量的增加,而公元1669-1712年的突变则表现为年降水量的减少;方差突变则以18世纪80年代最为明显.     

The extent of desertification on Saudi Arabia

Desertification is the process that turns productive deserts into non-productive deserts as a result of poor land-management. Desertification reduces the ability of land to support life, affecting wild species, domestic animals, agricultural crops and humans. The reduction in plant cover that accompanies desertification leads to accelerated soil erosion by wind and water. South Africa is losing approximately 300–400 million tons of topsoil every year. As vegetation cover and soil layer are reduced, rain fall impact and run-off increases. This paper discusses the extent of desertification, its potential threat to sustained irrigated agriculture and possible measures adopted to control ongoing desertification processes to minimize the loss of agricultural productivity in an arid country such as the Kingdom of Saudi Arabia.     

A multiscaling‐based intensity–duration–frequency model for extreme precipitation

Rainfall intensity–duration–frequency (IDF) curves are a standard tool in urban water resources engineering and management. They express how return levels of extreme rainfall intensity vary with duration. The simple scaling property of extreme rainfall intensity, with respect to duration, determines the form of IDF relationships. It is supposed that the annual maximum intensity follows the generalized extreme value (GEV) distribution. As well known, for simple scaling processes, the location parameter and scale parameter of the GEV distribution obey a power law with the same exponent. Although, the simple scaling hypothesis is commonly used as a suitable working assumption, the multiscaling approach provides a more general framework. We present a new IDF relationship that has been formulated on the basis of the multiscaling property. It turns out that the GEV parameters (location and scale) have a different scaling exponent. Next, we apply a Bayesian framework to estimate the multiscaling GEV model and to choose the most appropriate model. It is shown that the model performance increases when using the multiscaling approach. The new model for IDF curves reproduces the data very well and has a reasonable degree of complexity without overfitting on the data.