Stable isotopic compositions and controlling factors of precipitation and atmospheric vapour in the headwaters of the Shule River

Stable isotopic compositions of precipitation (δ¹⁸O_p, δ²H_p and d-excess_p) and atmospheric vapour (δ¹⁸O_v, δ²H_v and d-excess_v) with high spatial–temporal resolution are crucial in revealing hydrologic cycle. Based on the variation characteristics of δ¹⁸O_p/δ¹⁸O_v, δ²H_p/δ²H_v and d-excess_p/d-excess_v in the headwaters of the Shule River (HSR) on hourly and daily scales from June to September 2018, this study analysed the relationships between δ¹⁸O_p/δ²H_p and δ¹⁸O_v/δ²H_v combined with the equilibrium fractionation model, as well as δ¹⁸O_p/δ¹⁸O_v and meteorological factors. The slopes of local meteoric water line (LMWL) and the δ²H_v-δ¹⁸O_v fitting equation were similar (7.96 and 7.94) with both intercepts exceeding 10, reflecting the great contribution of recycling moisture. The values of δ¹⁸O_v/δ²H_v were lower than δ¹⁸O_p/δ²H_p but with consistent variation patterns throughout the period. The equilibrium simulation results suggested that precipitation and atmospheric vapour almost approached isotopic equilibrium state, especially during monsoon intrusion period. Affected by monsoon intrusion, the slopes and intercepts of the LMWLs and the δ²H_v-δ¹⁸O_v fitting equations were smaller than those during non-monsoon period and d-excess and δ¹⁸O were negatively correlated. Relative humidity had significant negative correlations with δ¹⁸O_p and δ¹⁸O_v in the whole period, however, the positive correlations between δ¹⁸O_p/δ¹⁸O_v and temperature were observed during non-monsoon and monsoon intrusion period, respectively. Our results demonstrated that precipitation and atmospheric vapour isotopic compositions exhibited consistency under the influence of diverse moisture sources, while more complex relationships were found between δ¹⁸O_p/δ¹⁸O_v and meteorological factors. This research provided evidence for using the isotopic compositions of atmospheric vapour to indicate moisture sources, and can improve understanding of the water cycle and eco-hydrological process from the perspective of the interaction between water and gas phases of the inland river basin in northwest China.     

Using input–output methods to assess the effects of fishing and aquaculture on a regional economy: The case of Galicia,Spain

This paper uses an input–output model to quantify the socioeconomic impact of fishing and aquaculture on Galicia, one of Spain's most important maritime regions. Results indicate that the carryover effects of these production activities are important for Galicia's economy because they contribute not only to job creation but also to possibilities for obtaining income in other economic sectors. These sectors’ combined production in 2013 was almost a million euros, and that production was estimated to account for nearly 2% of the regional economy's value added and for more than 17,000 full-time jobs. Together these contributions amounted to some €1.7 billion in production and €975 million in value added to other Galician economic activities. At the same time, fishing and aquaculture were responsible for creating the equivalent of more than 14,000 full-time jobs in other economic activities.     

上海和北京城市创新空间结构的时空演化模式

基于城市邮编区划空间数据库,从创新产出的视角建构城市创新评价指标体系,对1991-2014年上海市和北京市的创新空间结构的空间演化模式进行了探讨。研究发现：① 邮政区划为研究城市创新空间结构的生长提供了全新的视角,基于随机边缘点连线以及泰森多边形法构建的城市邮编空间数据库评价城市创新空间结构的结果较为理想,因此具有推广价值;② 25年间,上海市和北京市的创新空间结构生长体现出了诸多的共性特征：随着参与创新的城市空间单元逐年增加,区域创新产出虽总体差距在缩小,但空间集聚趋势在加剧;③ 25年间,上海市和北京市的创新空间结构生长也体现出了共性上的差异性,其中上海市创新空间结构在创新资源郊区化转移的趋势下,呈现出由单核驱动向多核共振演进,以交通干道为空间扩散廊道的辐射效应凸显,相应的,其创新产出空间关联效应也显现出了市中心空心化现象;而北京市创新空间结构始终为市中心单核主导型,并在创新资源不断向中心集聚趋势下,其创新产出空间关联效应呈现出“农村包围城市”的演化特征;④ 上海市和北京市创新空间结构与其所在的区域创新空间结构（长三角城市群和京津冀城市群）具有内在的一致性,表明城内尺度科技创新活动空间分布的均衡与非均衡规律与其所处的区域创新格局密切相关。     

基于输出反馈的建筑结构闭开环次优控制

对传统的结构抗震闭开环控制算法进行改进。基于地面运动自回归模型,采用Kalman滤波利用可以量测到的地面加速度激励对未来时段即将发生的地面加速度激励进行预估,并在微分方程的求解中引入精确高效的精细积分算法。考虑到实际控制中量测全部状态变量的困难,改进算法仅需量测部分状态变量。数值仿真表明,基于输出反馈的闭开环次优控制策略能大大降低结构的地震响应。     

晴天地表总辐射和净辐射瞬时值计算方法

以较为精确的大气辐射传输模式为基础,研制出晴天地表总辐射和净辐射瞬时值的计算方案。与以往的经验计算方法不同,该方案将辐射传输带模式的思路引入地面太阳辐射计算,并尽可能将大气中吸收和散射物质对太阳辐射的影响考虑进去,从而使该方法具有较好的精确性和普适性。在此基础上采用了Kokhanovsky等人提出的大气气溶胶反射率和透过率参数化方案,使得气溶胶对地面总辐射和净辐射的影响得到较好的处理。采用的自变量都是数值预报模式或卫星观测能提供的气象要素,因此该方案即可用于数值预报模式或陆面过程模式计算地表辐射平衡,又可以利用卫星观测或再分析资料估算地面太阳能资源分布。利用美国能源部三个大气辐射观测站点2005年全年的观测资料及欧洲宇航局提供的卫星反演气溶胶资料对计算方案进行了检验。结果表明,该方法十分精确,所有点的平均相对误差都小于6%,误差的均方差都小于0.3 W•m^-2。     

中国省际水资源利用效率与空间溢出效应测度

基于省际水足迹和灰色水足迹等的面板数据,本文利用带有考虑和不考虑非期望产出的数据包络分析方法测度了1997-2011 年中国31 个省市区的水资源利用效率;建立基于经济—空间距离函数的空间权重矩阵,探讨水资源利用效率的空间自相关关系;利用绝对β趋同模型验证水资源利用效率增长趋势存在绝对β趋同,考虑和不考虑非期望产出情况下达到1/2 趋同程度的时间分别约为52.6 和5.6 年;运用空间Durbin 计量模型研究了中国省际水资源利用效率的空间溢出效应。研究发现：（1） 考虑和不考虑非期望产出的中国省际水资源利用效率都具有显著的空间自相关性;（2） 考虑和不考虑非期望产出的空间自回归系数ρ分别为0.278 和0.507,且都在1%的水平上显著,说明中国水资源利用效率存在空间溢出效应;（3） 考虑非期望产出情况下中国各省市的教育经费、交通基础设施、工业和农业用水比重因素正向影响水资源利用效率,外商直接投资、万元工业增加值用水量、人均用水量、降水总量因素负向影响水资源利用效率;（4） 不考虑非期望产出情况下中国各省市的劳均GDP因素较大正向显著影响,而交通基础设施和万元工业增加值用水量因素变为不显著影响;（5） 不考虑非期望产出的水资源利用效率测度对中国水资源真实利用情况出现偏差估计及对政策制定产生误导,考虑环境因素到水资源利用效率测度更为合理。     

Statistical prediction of heavy rain in South Korea

1. Introduction In recent decades, extreme weather events seem to be growing in frequency and risk due to water-related disasters. According to the World Meteorological Or- ganization report (ISDR and WMO, 2004) on World Water Day, 22 March 2004, the economic losses caused by water-related disasters, including floods, droughts and tropical cyclones, are on an increasing trend as follows: the yearly mean in the 1970s was about 131 billion US dollars, 204 billion dollars in the 1980s, and …     

A model for retrieval of dual linear polarization radar fields from model simulation outputs

An algorithm for retrieving polarimetric variables from numerical model fields is developed. By using this technique, radar reflectivity at horizontal polarization~ differential reflectivity, specific differential phase shift and correlation coefficients between the horizontal and vertical polarization signals at zero lag can be derived from rain, snow and hail contents of numerical model outputs. Effects of environmental temperature and the melting process on polarimetric variables are considered in the algorithm. The algorithm is applied to the Advanced Regional Prediction System （ARPS） model simulation results for a hail storm. The spatial distributions of the derived parameters are reasonable when compared with observational knowledge. This work provides a forward model for assimilation of dual linear polarization radar data into a mesoscale model.     

Influence of Soil Air Permeability Change on Soil Vapour Extraction Systems Design

Soil air permeability plays a decisive role in the effectiveness of soil vapour extraction (SVE) for the removal of volatile organic contaminants (VOCs) from soil. The objective of this work is to study the change of the soil air permeability during continuous venting and removal of contaminant from a polluted soil. SVE pilot experiments were conducted to investigate the interaction of soil air permeability with total liquids saturation. Oppositely to previous studies, air permeability was measured by fitting pressure data measured in a 3D laboratory venting pilot to an analytical airflow solution. The experimental correlation was compared with two different correlations published previously. A difference was observed between measured and calculated air relative air permeabilities especially for low water saturation degrees. The importance of the correct estimate of relative permeability was then illustrated by comparing vacuums and streamlines calculated using measured permeability and permeability values estimated with the two correlations tested here. Results show that an inappropriate assessment of relative permeability may engender significant errors in designing an SVE system. The second part of this work reports on the influence of air permeability change on the prediction capability of an SVE mathematical model. A significant difference between simulated breakthrough curves, estimated using firstly the relationship established experimentally and secondly the two other correlations, was observed. These results lead us to say that inadequate characterization of the air permeability change may generate significant errors in removal rate and closure time estimates.