1961—2010年中国气候生产潜力时空格局变化及其潜在可承载人口分析

以气温、降水格点数据为基础,采用Thornthwaite Memorial模型计算了中国气候生产潜力(CPP),并从气候的角度估算了耕地上气候资源潜在可承载的人口数,以便增强了解气候变化的影响及气候资源最大人口支撑能力。结果表明:1961—2010年中国CPP总体呈突变性增加趋势,1987年为突变点,年最低、最高及平均值分别为689. 18、814. 56和744. 05 g·m^-2·a^-1。空间上呈现出从西北向东南逐渐递增的带状分布,其中高值区主要分布在华南大部,最高值达2103. 56 g·m^-2·a^-1;低值区主要分布在西、北部地区,最低值为39. 28 g·m^-2·a^-1。2001—2010年中国大部分地区CPP年平均值相对于1961—2010年多年平均值变化幅度不大,变化比例高的地区基本上分布于中国西、北部,其中增加的区域达82%,主要分布在华东地区、新疆西部、西藏北部及青海大部,远大于缩减的区域(17%)。1995—2010年,基于公里网格的耕地气候潜在可承载人口为46—2180人·km^-2,全国平均值最低的年份为1130人·km^-2,对应的实际人口为0—49729人·km^-2,全国平均值均不高于137人·km^-2;全国实际总人口为11. 43—13. 04亿,耕地气候潜在可承载总人口为19. 72—20. 22亿,前后比值为58%—65%。这表明,中国耕地生产力未达到气候生产潜力,尚有一定的开发潜力;实际人口在中国大部分地区均没有超出气候资源潜在可承载的最大人口,然而在少数省市(如生态环境脆弱的青海省以及经济发达的大城市及沿海地区)已超出。     

Flood seasonality across Scandinavia—Evidence of a shifting hydrograph?

Fluvial flood events have substantial impacts on humans, both socially and economically, as well as on ecosystems (e.g., hydroecology and pollutant transport). Concurrent with climate change, the seasonality of flooding in cold environments is expected to shift from a snowmelt‐dominated to a rainfall‐dominated flow regime. This would have profound impacts on water management strategies, that is, flood risk mitigation, drinking water supply, and hydro power. In addition, cold climate hydrological systems exhibit complex interactions with catchment properties and large‐scale climate fluctuations making the manifestation of changes difficult to detect and predict. Understanding a possible change in flood seasonality and defining related key drivers therefore is essential to mitigate risk and to keep management strategies viable under a changing climate. This study explores changes in flood seasonality across near‐natural catchments in Scandinavia using circular statistics and trend tests. Results indicate strong seasonality in flooding for snowmelt‐dominated catchments with a single peak occurring in spring and early summer (March through June), whereas flood peaks are more equally distributed throughout the year for catchments located close to the Atlantic coast and in the south of the study area. Flood seasonality has changed over the past century seen as decreasing trends in summer maximum daily flows and increasing winter and spring maximum daily flows with 5–35% of the catchments showing significant changes at the 5% significance level. Seasonal mean daily flows corroborate those findings with higher percentages (5–60%) of the catchments showing statistically significant changes. Alterations in annual flood occurrence also point towards a shift in flow regime from snowmelt‐dominated to rainfall‐dominated with consistent changes towards earlier timing of the flood peak (significant for 25% of the catchments). Regionally consistent patterns suggest a first‐order climate control as well as a local second‐order catchment control, which causes inter‐seasonal variability in the streamflow response.     

Uncertainty,entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude,entropie, effet d'échelle et propriétés stochastiques hydrologiques. 1. Propriétés distributionnelles marginales des processus hydrologiques et échelle d'état

Abstract

The well-established physical and mathematical principle of maximum entropy (ME), is used to explain the distributional and autocorrelation properties of hydrological processes, including the scaling behaviour both in state and in time. In this context, maximum entropy is interpreted as maximum uncertainty. The conditions used for the maximization of entropy are as simple as possible, i.e. that hydrological processes are non-negative with specified coefficients of variation (CV) and lag one autocorrelation. In this first part of the study, the marginal distributional properties of hydrological variables and the state scaling behaviour are investigated. Application of the ME principle under these very simple conditions results in the truncated normal distribution for small values of CV and in a nonexponential type (Pareto) distribution for high values of CV. In addition, the normal and the exponential distributions appear as limiting cases of these two distributions. Testing of these theoretical results with numerous hydrological data sets on several scales validates the applicability of the ME principle, thus emphasizing the dominance of uncertainty in hydrological processes. Both theoretical and empirical results show that the state scaling is only an approximation for the high return periods, which is merely valid when processes have high variation on small time scales. In other cases the normal distributional behaviour, which does not have state scaling properties, is a more appropriate approximation. Interestingly however, as discussed in the second part of the study, the normal distribution combined with positive autocorrelation of a process, results in time scaling behaviour due to the ME principle.     

历史文献中气候信息的评价

本文对我国史料中所载气候信息进行了评价。结论是:①对于史料所载的某一气候事件,我们将其状态分辨取越细,所获取的信息越少;②在分析过程中,对误差要求低些,所获取的信息反而高些;③就已记录的气候事件而言,官方组织的记载所提供的气候信息最多,私人笔札次之,方志类书最次。     

A temporal model for landslide risk based on historical precipitation

Of the recognized nonsteady-state factors that influence slope stability, probably most critical in many field situations is the character of precipitation and infiltration activity. A groundwater response model used in conjunction with precipitation records can provide a historical catalog of estimated maximum groundwater levels in a particular study area. An extreme-value statistical analysis of this catalog is linked with geotechnical slope stability analyses to provide a landslide hazard model for estimating the probability of slope failure within a given time. This modeling approach can provide meaningful input to risk assessments for landslide mitigation programs and to decision analyses and cost-benefit studies important for land-use planning and resource management.This paper was presented at Emerging Concepts, MGUS 87 Conference, Redwood City, California, 13–15 April 1987.     

Preliminary results of seismic hazard assessment in the Sannio-Matese area of Southern Italy

The seismic hazard in the Sannio-Matese area has been worked out by a modification of the McGuire (1976) computing programme, taking into account the influence of nine potential seismic source zones.The method uses truncated-quadratic intensity-frequency distribution and azimuth-dependent intensity attenuation derived from isoseismal maps for each of the seismogenetic sources. A new modification has been introduced to take into account different decay of the intensity in the near (to VIII degree) and far (from VIII degree) field.Different assumptions about maximum possible intensities and truncation of intensity-frequency laws are used to evaluate the effects of the uncertainties on the computed hazard at high intensities. Intensities associated with different level of annual probability are computed for five test sites in the considered area. Maps displaying the expected intensity for a mean return period of 500 years (pa 0.002) are presented and compared with observed intensities.Presented at the XXIst General Assembly of the European Seismological Commission, Symposium on Methods of Seismic Hazard Assessment in Europe, Sofia, 23–27 August 1988.     

Statistical estimation of a shock center: Slate Islands astrobleme

Statistical models are proposed for the distribution of directions in three dimensions that are thought to point toward a single source. These models are based on the Fisher distribution. The method of maximum likelihood is used to obtain an estimate of position of the source and to provide corre-sponding confidence regions. When applied to shatter cone data from the Slate Islands, northern Lake Superior, the method yields estimates comparable with those obtained by Stesky and Halls (1982), as well as statistically valid confidence regions.     

矿山淹井中水位、水量的快速估算和预报

本文用数理统计方法,快速估算和预报矿山淹井中水住、最高水位,矿井水涌量、涌入矿区的总水量和需要排出水量。用简单易行的反推法确定淹井的涌水量,并推导出计算式,以供使用。该方法在某矿淹井中使用,效果良好。     

A simplified computational approach for prediction of transient climatic conditions in underground mine airways

Summary A simplified approach for prediction of transient climatic conditions in an underground airway os presented. The dry surface temperature of the airway is calculated using a finite difference scheme, whereas the wet surface temperature is determined following the concept of pseudo-base-temperature of air and using the value of thermal gradient at the dry surface as obtained from the finite difference solution of the temperature profile in the dry rock. The air-current temperatures are regularly evaluated after a suitable time span so as to simulate a real-case situation, and the re-evaluated air-current temperatures are used for further calculations. For increasing age of the airway the wet surface temperature obtained by the finite difference scheme, with an appropriate value of thermal diffusivity, is compared with its value determined by the pseudo-base-temperature approach.