Numerical simulation of the Qulong Paleolandslide Dam event in the late pleistocene using the finite volume type shallow water model

Natural Hazards - The Qulong paleolandslide dam event lies in the Benzilan-Batang zone of the upper Jinsha River. The Jinsha River is one of the most extensive water resources in southwest China....     

Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach

Natural Hazards - Advances in the availability of multi-sensor, remote sensing-derived datasets, and machine learning algorithms can now provide an unprecedented possibility to predict flood events...     

华中地区历史物候记录与1850-2008年的气温变化重建

根据历史日记中的华中地区春季植物物候、清代档案中的湖南4地降雪日数记载和区内5个树轮宽度年表,以及植物物候期、雪日观测记录等代用资料;以器测的华中整个地区的逐年气温距平为校准序列,采用逐步回归方法,结合逐一剔除法验证和方差匹配技术,重建了1850-2008年华中地区年均气温变化序列。结果表明:1自1850年以来,华中地区气温变化以年际至年代尺度波动为主要特征;但至1990年以后则迅速增暖,并超出了原有的年代际波动水平;而1920s中期至1940s中期的温暖尽管也持续了20年,但其温暖程度显著低于1990s-2000s。其间,最寒冷年代则分别出现在1860s、1890s及1950s,最寒冷的年份为1893年。2华中地区1850年以来的气温年代际波动周期为10~20年和准35年,其中1920s以前主要为12~14年,但自1940s开始则转为18~20年以及准35年。     

Ensemble standardization constraints on the influence of the tree growth trends in dendroclimatology

Climate Dynamics - Tree growth trends can affect the interpretation of the response of tree-ring proxies (especially tree-ring width) to climate in the low-frequency band, which in turn may limit...     

ECMWF集合预报统计量在江西降水预报中的检验分析

利用江西省93个国家气象观测站降水量资料,对2014年ECMWF集合预报降水统计量进行逐6 h和24 h晴雨检验、降水分级检验及区域性暴雨检验。结果表明:1)10%、25%、Mode、融合、最小值在晴雨预报准确率方面较控制预报更有参考价值。2)对于全年降水分级检验,10%、25%、Mode、融合、最小值这5个统计量在小雨的预报方面较控制预报更有参考价值;中位数、概率对中雨的ETS评分要略高于控制预报;90%、75%、概率对大雨预报比控制预报好。对于暴雨预报,最大值、90%、融合比控制预报好;融合、最大值对大暴雨落区的指示意义不大,但对大暴雨量级降水的可能性可以供预报员参考。3)对于区域性暴雨预报,90%、融合、最大值的预报技巧比控制预报高,最大值虽然空报较严重,但对降水量级有一定的指示意义。集合预报各统计量对于强降水过程爆发或发展阶段的预报效果不如降水过程成熟期或末期好。     

Probabilistic estimates of future changes in California temperature and precipitation using statistical and dynamical downscaling

Sixteen global general circulation models were used to develop probabilistic projections of temperature (T) and precipitation (P) changes over California by the 2060s. The global models were downscaled with two statistical techniques and three nested dynamical regional climate models, although not all global models were downscaled with all techniques. Both monthly and daily timescale changes in T and P are addressed, the latter being important for a range of applications in energy use, water management, and agriculture. The T changes tend to agree more across downscaling techniques than the P changes. Year-to-year natural internal climate variability is roughly of similar magnitude to the projected T changes. In the monthly average, July temperatures shift enough that that the hottest July found in any simulation over the historical period becomes a modestly cool July in the future period. Januarys as cold as any found in the historical period are still found in the 2060s, but the median and maximum monthly average temperatures increase notably. Annual and seasonal P changes are small compared to interannual or intermodel variability. However, the annual change is composed of seasonally varying changes that are themselves much larger, but tend to cancel in the annual mean. Winters show modestly wetter conditions in the North of the state, while spring and autumn show less precipitation. The dynamical downscaling techniques project increasing precipitation in the Southeastern part of the state, which is influenced by the North American monsoon, a feature that is not captured by the statistical downscaling.     

ON REGIONAL DIFFERENTIATION OF RIVER WATER ENVIRONMENT CAPACITY AND STRATEGIES TO CONTROL WATER ENVIRONMENT POLLUTION IN CHINA

ＯＮＲＥＧＩＯＮＡＬＤＩＦＦＥＲＥＮＴＩＡＴＩＯＮＯＦＲＩＶＥＲＷＡＴＥＲＥＮＶＩＲＯＮＭＥＮＴＣＡＰＡＣＩＴＹＡＮＤＳＴＲＡＴＥＧＩＥＳＴＯＣＯＮＴＲＯＬＷＡＴＥＲＥＮＶＩＲＯＮＭＥＮＴＰＯＬＬＵＴＩＯＮＩＮＣＨＩＮＡ￥ＷａｎｇＨｕａｄｏｎｇ（王华...     

The changes of three components in coelomic fluid of Urechis unicinctus exposed to different concentrations of sulfide

The changes in heme （associated with hemoglobin）, hemoglobin and hematin in the coelomic fluid of marine worm, Urechis unicinctus, exposed to different concentrations of sulfide, were investigated using biochemical techniques. When exposed to different sulfide concentrations for up to 96 h, the relative amounts of the three components changed in a regular pattern suggesting that the coelomocytes play an important role in the worm＇s tolerance to sulfide. The possible roles of heme compounds in sulfide tolerance of this species are discussed on the basis of our experimental data.     

The iron Kα lines as a tool for magnetic field estimations in non-flat accretion flows

Observations of AGNs and microquasars by ASCA, RXTE, Chandra and XMM-Newton indicate the existence of broad X-ray emission lines of ionized heavy elements in their spectra. Such spectral lines were discovered also in X-ray spectra of neutron stars and X-ray afterglows of GRBs. Recently, Zakharov et al. [MNRAS 342 (2003) 1325] described a procedure to estimate an upper limit of the magnetic fields in regions from which X-ray photons are emitted. The authors simulated typical profiles of the iron Kα line in the presence of magnetic field and compared them with observational data in the framework of the widely accepted accretion disk model. Here we further consider typical Zeeman splitting in the framework of a model of non-flat accretion flows, which is a generalization of previous consideration into non-equatorial plane motion of particles emitting X-ray photons. Using perspective facilities of space borne instruments (e.g., Constellation-X mission) a better resolution of the blue peak structure of iron Kα line will allow to evaluate the magnetic fields with higher accuracy.