半参数模型在GPS季节性信号分离中的应用

根据噪声序列的Hurst指数特性,提出一种新的确定半参数模型平滑因子的方法--基于Hurst指数的二分搜索法,并将该方法应用于分离时变GPS季节性信号。通过对模拟数据及实测GPS坐标序列的分析,验证了该方法是一种有效的确定平滑因子的方法。将计算得到的平滑因子代入半参数模型,能够将GPS坐标序列中的季节性信号充分地分离出来。     

采动煤岩渗透率演化模型及数值模拟

为描述采动煤岩渗透率演化过程,引入强度退化指数,基于Hoek-Brown强度准则,建立了考虑围压影响的煤岩应变软化力学本构模型。给出了体积应变和渗透率的关系方程,结合应变软化模型建立了采动煤岩渗透率演化模型,并在FLAC下予以实现。通过数值模拟研究了不同围压下圆柱岩样的峰后应变软化力学行为和某煤矿工作面开采过程中煤岩的渗透率演化过程,结果表明：（1）该模型能较好地反映围压对煤岩峰后应变软化行为的影响;（2）随着工作面推进,越来越多的煤岩单元破坏,渗透率也不断增长,逐渐成为瓦斯等流体运移的主要通道。（3）模型能再现采动煤岩渗透率演化的动态过程,从而为煤与瓦斯共采、煤层瓦斯抽放和瓦斯灾害防治提供指导。     

Perfluoroalkyl and polyfluoroalkyl substances in sediments from South Bohai coastal watersheds,China

This study investigated the concentrations and distribution of Perfluoroalkyl and polyfluoroalkyl substances (PFAS) in sediments of 12 rivers from South Bohai coastal watersheds. The highest concentrations of ΣPFAS (31.920 ng g⁻¹ dw) and PFOA (29.021 ng g⁻¹ dw) were found in sediments from the Xiaoqing River, which was indicative of local point sources in this region. As for other rivers, concentrations of ΣPFAS ranged from 0.218 to 1.583 ng g⁻¹ dw were found in the coastal sediments and from 0.167 to 1.953 ng g⁻¹ dw in the riverine sediments. Predominant PFAS from coastal and riverine areas were PFOA and PFBS, with percentages of 30% and 35%, respectively. Partitioning analysis showed the concentrations of PFNA, PFDA and PFHxS were significantly correlated with organic carbon. The results of a preliminary environmental hazard assessment showed that PFOS posed the highest hazard in the Mi River, while PFOA posed a relative higher hazard in the Xiaoqing River.     

Riparian responses to reduced flood flows: comparing and contrasting narrowleaf and broadleaf cottonwoods

Abstract

To enable assessment of risks of water management to riparian ecosystems at a regional scale, we developed a quantile-regression model of abundance of broadleaf cottonwoods (Populus deltoides and P. fremontii) as a function of flood flow attenuation. To test whether this model was transferrable to narrowleaf cottonwood (Populus angustifolia), we measured narrowleaf abundance along 39 river reaches in northwestern Colorado, USA. The model performed well for narrowleaf in all 32 reaches where reservoir storage was <75% of mean annual flow. Field data did not fit the model at four of seven reaches where reservoir storage was >90% of mean annual flow. In these four reaches, narrowleaf was abundant despite peak flow attenuation of 45–61%. Poor model performance in these four reaches may be explained in part by a pulse of narrowleaf cottonwood expansion as a response to channel narrowing and in part by differences between narrowleaf and broadleaf cottonwood response to floods and drought.

Editor Z.W. Kundzewicz; Guest editor M. Acreman

Citation Wilding, T.K., Sanderson, J.S., Merritt, D.M., Rood, S.B., and Poff, N.L., 2014. Riparian responses to reduced flood flows: comparing and contrasting narrowleaf and broadleaf cottonwoods. Hydrological Sciences Journal, 59 (3–4), 605–617.     

Quantifying the epistemic uncertainty in ground motion models and prediction

The aim of this paper is to compute the ground-motion prediction equation (GMPE)-specific components of epistemic uncertainty, so that they may be better understood and the model standard deviation potentially reduced. The reduced estimate of the model standard deviation may also be more representative of the true aleatory uncertainty in the ground-motion predictions.The epistemic uncertainty due to input variable uncertainty and uncertainty in the estimation of the GMPE coefficients are examined. An enhanced methodology is presented that may be used to analyse their impacts on GMPEs and GMPE predictions. The impacts of accounting for the input variable uncertainty in GMPEs are demonstrated using example values from the literature and by applying the methodology to the GMPE for Arias Intensity. This uncertainty is found to have a significant effect on the estimated coefficients of the model and a small effect on the value of the model standard deviation.The impacts of uncertainty in the GMPE coefficients are demonstrated by quantifying the uncertainty in hazard maps. This paper provides a consistent approach to quantifying the epistemic uncertainty in hazard maps using Monte Carlo simulations and a logic tree framework. The ability to quantify this component of epistemic uncertainty offers significant enhancements over methods currently used in the creation of hazard maps as it is both theoretically consistent and can be used for any magnitude–distance scenario.     

营口地区数值预报降水产品定量检验和预报指标研究

选取2010年8月至2011年7月天气在线、日本传真图、美国全球预报系统（以下简称GFS）、以及T639等数值预报降水预报产品,采用统计学方法和天气学方法,按照预报时效、预报降水量级、影响系统等不同方面对营口地区的降水预报产品进行检验分析,以便更好的利用数值产品做好降水预报,提高营口地区的降水预报准确率。结果表明：从整体角度看各种数值预报产品预报准确率随时间变化逐渐降低,但天气在线和GFS预报效果相对较好且稳定,日本传真图次之,T639稳定性最差;各种数值预报产品均存在预报偏小的情况,特别是对暴雨的预报效果均不太理想,稳定性差、量级偏小;小雨量级降水空报和漏报明显;各种数值预报产品对高空槽和冷涡漏报情况较明显,主要为小雨量级。     

1971-2011年辽宁寒潮时空分布特征

利用1971-2011年辽宁省58个常规观测站日最低气温资料,分析辽宁寒潮时空分布特征。结果表明：1971-2011年辽宁寒潮年平均频次空间分布存在两个大值中心,一个位于辽宁东北部地区,另一个位于辽西建平地区;11月大范围强寒潮出现最多。近41 a辽宁区域性寒潮在20世纪70年代出现最多,呈不显著的下降趋势;寒潮在10月中旬至翌年5月上旬均可出现,12月上旬至翌年2月下旬是寒潮集中出现时段,出现最多的是1月;区域性寒潮出现次数存在20、13、8a和4a的变化周期。影响辽宁区域性寒潮的主要天气形势有小槽发展型、横槽型和低槽东移型。寒潮物理量预报指标主要有：寒潮前至少有一日升温过程;500 hPa冷中心温度≤-40 ℃;地面冷高压主体中心气压为1050 hPa以上,分裂小高压中心气压为1030 hPa以上;500 hPa和850 hPa急流普遍为24 m.s-1和12 m.s-1以上;850 hPa辽宁附近等温线密集程度≥5条/10纬度;风向与等温线夹角基本大于60°。     

黑龙江省延迟型低温冷害气候指标研究

针对影响黑龙江省农业生产的延迟型低温冷害,探讨前人提出的东北地区低温冷害气候指标在黑龙江省的适用性,借鉴前人经验,考虑玉米和水稻种植面积不断北扩等因素,确定黑龙江省延迟型性低温冷害气候指标的技术路线、判识临界值和计算方案。利用1961-2012年黑龙江省27个气象台站5-9月平均气温,以热量指数距平冷害判识指标为参照,考虑低温冷害指标与纬度、经度和海拔高度的密切关系,采用逐步回归法建立黑龙江省延迟型低温冷害气候指标;经过验证,表明该指标判识的低温冷害年与黑龙江省低温冷害的实际和发生规律相符,可作为监测指标;该指标所需数据量小,计算简便,具有实用性和推广价值;可采用该指标对黑龙江省低温冷害的历史发生规律进行分析。     

云南鲁甸6.5级地震灾害特点浅析

通过对2014年8月3日云南鲁甸6.5级地震震害开展实地调查,对灾区破坏情况进行总体介绍,并就各烈度区特征和建筑物震害、地震地质灾害、工程结构震害进行分析,初步得出本次地震的一些震害特点.一是灾区人口密度大,人员死亡较集中.人员死亡主要集中在Ⅷ和Ⅸ度区.二是地震振动强,灾区破坏严重.本次地震震源深度12km,极震区烈度高达Ⅸ度,震源破裂在11s内集中释放.三是抗震能力弱,房屋破坏严重.灾区属国家级贫困区,农村民居抗震能力弱,且多数民房坐落在河谷陡坡上,边坡效应加重房屋震害,重灾区砖木和土木房屋成片损毁、倒塌.四是灾区条件恶劣,救灾难度大.震区活动断裂密集发育、地质破碎疏松、地形崎岖不平,又恰值雨季,诱发极其严重次生地质灾害,导致人员伤亡,造成灾区大面积交通、通信、电力中断,救援物资与救援力量无法及时发挥作用.