Long-term hydrology and aquatic biogeochemistry data from H. J. Andrews Experimental Forest,Cascade Mountains,Oregon

The H. J. Andrews Experimental Forest (HJA) encompasses the 6400 ha Lookout Creek watershed in western Oregon, USA. Hydrologic, chemistry and precipitation data have been collected, curated, and archived for up to 70 years. The HJA was established in 1948 to study the effects of harvest of old-growth conifer forest and logging-road construction on water quality, quantity and vegetation succession. Over time, research questions have expanded to include terrestrial and aquatic species, communities and ecosystem dynamics. There are nine small experimental watersheds and 10 gaging stations in the HJA, including both reference and experimentally treated watersheds. Gaged watershed areas range from 8.5 to 6242 ha. All gaging stations record stage height, water conductivity, water temperature and above-stream air temperature. At nine of the gage sites, flow-proportional water samples are collected and composited over 3-week intervals for chemical analysis. Analysis of stream and precipitation chemistry began in 1968. Analytes include dissolved and particulate species of nitrogen and phosphorus, dissolved organic carbon, pH, specific conductance, suspended sediment, alkalinity, and major cations and anions. Supporting climate measurements began in the 1950s in association with the first small watershed experiments. Over time, and following the initiation of the Long Term Ecological Research (LTER) grant in 1980, infrastructure expanded to include a set of benchmark and secondary meteorological stations located in clearings spanning the elevation range within the Lookout Creek watershed, as well as a large number of forest understory temperature stations. Extensive metadata on sensor configurations, changes in methods over time, sensor accuracy and precision, and data quality control flags are associated with the HJA data.     

Sea‐level rise impact on fresh groundwater lenses in two‐layer small islands

The fresh groundwater lenses (FGLs) of small islands can be highly vulnerable to climate change impacts, including sea‐level rise (SLR). Many real cases of atoll or sandy islands involve two‐layer hydrogeological conceptualizations. In this paper, the influential factors that affect FGLs in two‐layer small islands subject to SLR are investigated. An analytical solution describing FGLs in circular islands, composed of two geological layers, is developed for the simplified case of steady‐state and sharp‐interface conditions. An application of the developed model is demonstrated to estimate the FGL thickness of some real‐world islands by comparison with existing FGL thickness data. Furthermore, numerical modelling is applied to extend the analysis to consider dispersion effects and to confirm comparable results for both cases. Sensitivity analyses are used to assess the importance of land‐surface inundation caused by SLR, relative to other parameters (i.e. thickness of aquifer layers, hydraulic conductivity, recharge rate and land‐surface slope) that influence the FGL. Dimensionless parameters are used to generalize the findings. The results demonstrate that land‐surface inundation has a considerable impact on a FGL influenced by SLR, as expected, although the FGL volume is more sensitive to recharge, aquifer thickness and hydraulic conductivity than SLR impacts, considering typical parameter ranges. The methodology presented in this study provides water resource managers with a rapid‐assessment tool for evaluating the likely impacts of SLR and accompanying LSI on FGLs.     

Impacts of small cascaded hydropower plants on river discharge in a basin in Southern China

The run‐off volume altered by the construction of hydropower plants affects ecohydrological processes in catchments. Although the impacts of large hydropower plants have been well documented in the literature, few studies have been conducted on the impacts of small cascaded hydropower plants (SCHPs). To evaluate the impacts of SCHPs on river flow, we chose a representative basin affected by hydropower projects and, to a lesser degree, by other human activities, that is, the Qiuxiang River basin in Southern China. The observed river discharge and climate data during the period of 1958–2016 were investigated. The datasets were divided into a low‐impact period and a high‐impact period based on the number of SCHPs and the capacities of the reservoirs. The daily river discharge alteration was assessed by applying the Indicators of Hydrologic Alteration. To separate the impact of the SCHPs on the local river discharge from that of climate‐related precipitation, the back‐propagation neural network was used to simulate the monthly average river discharge process. An abnormal result was found: Unlike large reservoirs in large watersheds, the SCHPs regulated the flows during the flood season but were not able to mitigate the droughts during the dry season due to their limited storage and the commonly occurring inappropriate interregulations of the SCHPs. The SCHPs also reduced the annual average river discharge in the research basin. The contribution of the SCHPs to the river discharge changes was 85.37%, much higher than the contributions of climate change (13.43%) and other human activities (1.20%). The results demonstrated that the impacts of the SCHPs were different from those of large dams and reservoirs that regulate floods and relieve droughts. It is necessary to raise the awareness of the impacts of these river barriers.     

Review on InSAR based displacement monitoring of Indian Himalayas: issues,challenges and possible advanced alternatives

Natural and man-made disasters like earthquakes, landslides, avalanches, unplanned mining are some of the most serious factors responsible for earth surface displacement. These incidences can be harmful for the society due to loss of life and also threatful for future urban development. Therefore, continuous monitoring of disasters in terms of displacements is of fundamental importance in a modern well-organized society to understand its effects on the social and economic fabric. Availability of SAR data has been proved to be an excellent source for estimation of surface displacements with high accuracies. However, in India, SAR interferometry-related displacement measurement has still not gained appreciable momentum. More rigorous research needs to be carried out for the efficient use of this new generation technique. This review article is an attempt to discuss the issues related to SAR-based displacement studies so far conducted on Indian Himalayan region and possible advanced alternatives.     

2016年6月海南一次龙卷过程分析

利用19612015年陕西省70个气象观测站的逐日降水资料,采用线性倾向估计、趋势分析及Mann Kendall等方法,分析了陕西省不同等级降水量、降水日数及降水强度的气候变化特征。结果表明：无论是降水量、降水日数,还是降水强度,均呈现出南多北少的分布特征,且随着降水级别的逐级增加,地区分布差异逐渐增大;整体上降水量和降水日数呈现出减少趋势,其中降水日数的下降趋势均非常显著,全省年均降水日数的气候倾向率达到了-3.83天·10a-1,通过了0.01的显著性检验,降水强度的增加趋势通过了0.05的显著性检验,每10 a全省年均降水强度增加0.15 mm·d-1;陕西降水量及降水日数的减少主要体现在春秋两季小雨及中雨的减少上,小雨降水强度在夏、秋两季的气候倾向率分别为0.05和0.04 mm·d-1·10a-1,其上升趋势分别通过了0.01和0.1的显著性检验,这是年均降水强度上升的主要原因;陕西年均降水量及降水日数自1984年出现了突变性下降,而降水强度的突变则出现在2004年,之后一直呈现持续的上升趋势。     

中小城市基本公共服务水平区域均等化的动态分析

选取基础教育、社会保障、基本医疗、公共文化四大类指标,利用2008—2013年我国26个省份163个中小城市的统计数据,测度了其基本公共服务水平区域均等化程度的动态变化。结果表明:中小城市基本公共服务平均水平呈上升趋势;基础教育和基本医疗的区域均等化程度较好,社会保障和公共文化的区域差异较大;基本公共服务水平表现出空间集聚发展态势,东高西低的分布格局呈加剧之势。优化公共财政体制建设,加强省份间协同发展是促进基本公共服务均等化的重要途径。     

用定量遥感方法监测UNDP试区小流域水土流失研究

简要介绍了水土流失定量遥感方法的组成和基本原理,重点叙述了它在小流域治理试区的应用作业和应用结果,并讨论了它的适应性、准确性、实用性和应用前景等。该法的监测模型可与美国近年刊出的RUSLE相媲美,且其因子算式算法系由我国实测资料所建,故更适合我国水土流失实际的应用效果,尤其适用于遥感和GIS数据的微机处理。其应用结果,不仅有比常规调查法和定性遥感法更准确实用的流失总量、各级面积的统计数据和流失现状图,而且还有流失治理规划的防治强度预报图。在UNDP试区应用表明,该法所建立的系统,也可对小流域(大于7km2)每年实施监测,以获水土流失变化动态的准确信息。     

小口径加筋砼灌注桩应用初探

在小口径加筋砼灌注桩试桩基础上结合工程实例对小口径加筋砼灌注桩的设计、施工和检测进行了初步探讨     

长江三峡库区秭归杨林桥镇震群成因

对三峡数字地震台网记录的2016年3—6月三峡工程库区秭归库段杨林桥镇小震群进行双差精定位,通过Snoke方法计算该震群中较大地震的震源机制解,并结合野外宏观调查等方法,分析震源参数的时空变化特征。结果表明:杨林桥镇小震群密集分布在2 km×3 km矩形范围内,有较明显的展布方向,但与邻近的仙女山断裂、九畹溪断裂和天阳坪断裂走向不一致;震群距长江干流超过10 km,与三峡水库无水利联系,无相关性;震群展布方向上有岩溶洞分布,且降雨丰富,初步判断成因类型为岩溶塌陷型。