The influence of rainfall and land use patterns on soil erosion in multi-scale watersheds: A case study in the hilly and gully area on the Loess Plateau,China

Soil erosion has become a major global environmental problem and is particularly acute on the Loess Plateau (LP), China. It is therefore highly important to control this process in order to improve ecosystems, protect ecological security, and maintain the harmonious relationship between humans and nature. We compared the effects of rainfall and land use (LU) patterns on soil erosion in different LP watersheds in this study in order to augment and improve soil erosion models. As most research on this theme has so far been focused on individual study areas, limited analyses of rainfall and LU patterns on soil erosion within different- scale watersheds has so far been performed, a discrepancy which might influence the simulation accuracies of soil erosion models. We therefore developed rainfall and LU pattern indices in this study using the soil erosion evaluation index as a reference and applied them to predict the extent of this process in different-scale watersheds, an approach which is likely to play a crucial role in enabling the comprehensive management of this phenomenon as well as the optimized design of LU patterns. The areas considered in this study included the Qingjian, Fenchuan, Yanhe, and Dali river watersheds. Results showed that the rainfall erosivity factor (R) tended to increase in these areas from 2006 to 2012, while the vegetation cover and management factor (C) tended to decrease. Results showed that as watershed area increased, the effect of rainfall pattern on soil erosion gradually decreased while patterns in LU trended in the opposite direction, as the relative proportion of woodland decreased and the different forms of steep slope vegetation cover became more homogenous. As watershed area increased, loose soil and craggy terrain properties led to additional gravitational erosion and enhanced the effects of both soil and topography.     

Study of temperature and precipitation variations in Italy based on surface instrumental observations

In this paper we present a study concerning the climatic behaviour of two principal observables, temperature and precipitation as obtained from the measurements carried out at 50 Italian meteorological stations, since 1961. Analyses of WMO Climate Normals (CliNo) from 1961 to 1990 have been performed dividing the 50 Italian stations in three different classes: mountain (11 stations), continental (17) and coastal areas (21).The comparison of the CliNo 1961–1990 with the trend of temperature and precipitation for the period 1991–2000 showed a sharp significant increase of summer temperatures over Italy starting from 1980. This phenomenon was particularly evident for mountain stations, where a significant temperature increase has been recorded also during the autumn. Moreover, the analysis of precipitation data permitted to point out that, starting from 1980, mountain stations have been affected by a significant increase of precipitation events during autumn and winter, while for the rest of the Italian territory a reduction of precipitations has been recorded during early spring.     

高寒河谷灌丛冠层降雨再分配特征及影响因素

通过植被冠层的降雨被分割成冠层截留、穿透雨和树干茎流3个部分,这个过程（冠层降雨再分配）是高寒河谷灌丛生态演变的关键驱动因子之一,对于认识高寒河谷灌丛的水文循环过程及水分收支规律也具有重要意义。选取青海湖流域最重要的河谷灌丛--具鳞水柏枝作为研究对象,通过野外定点观测,深入分析了冠层降雨再分配特征及影响因素\.结果显示:①穿透雨量、树干茎流量、冠层截留量占同期降雨量的比例平均为48.40%、4.04%和47.56%,并在不同降雨量等级之间存在显著差异;②冠层降雨再分配各组成要素（穿透雨、树干茎流、冠层截留）与降雨特征参数存在高度相关性,伴随降雨量和降雨历时的增加,穿透雨量、树干茎流量、冠层截留量占同期降雨量的比例均逐渐趋于稳定,极限稳定值分别介于60.45%～61.07%、6.45%～7.42%、33.11%～34.17%;③产生穿透雨和树干茎流的临界降雨量分别为1.10 mm和1.87 mm,表明2 mm以下的降雨对土壤水分的补给基本没有贡献。因此,高寒河谷灌丛冠层降雨再分配与其他林木类型存在明显差异,需要深入研究其内在机制及水分利用规律。     

文山州降雨侵蚀力时空分布规律浅析

降雨是导致土壤侵蚀的主要动力因素,降雨侵蚀力反映降雨引起土壤侵蚀的潜在能力。利用文山州内21个雨量代表站月降雨资料,估算文山州降雨侵蚀力,对该地区降雨侵蚀力的年内分布、年际变化特征和空间分布变化规律进行分析。结果表明：文山州降雨侵蚀力空间分布基本与降雨一致,山区为高值区,坝区为低值区;降雨侵蚀力主要集中在汛期（5～10月）,各月的差异大于降雨量的差异;文山州降雨侵蚀力长期变化为略减小趋势但不显著,年际变化较年降雨量年际变化显著。     

Assessment of episodic acidification in Sierra Nevada,California

Monte-Carlo simulations were used to assess the extent of shortterm alkalinity depressions occuring in Sierra Nevada lakes due to acidic deposition events. The Episodic Event Model (EEM) was used to simulate spring snowmelt events. Snow course data, precipitation data and lake acidification surveys were used to derive values for the EEM parameters. Spring snowmelt events were shown to have great impacts on the water quality of Sierran lakes. Lakes are likely to be most affected by the early-spring snowmelt event because the epilimnion depth is at a minimum, which indicates minimum dilution. Under annual average loading conditions, no Sierran lake has been reported as acidic although 29% of the lakes have alkalinities less than 40 µeq/L indicating a sensitivity to acidification. In simulations of early-spring snowmelt events, using present-day acidic loading conditions, it was estimated 79% ± 9% of the lakes would experience shortterm lake alkalinity depressions to levels less than 40 µeq/L. The results provided by the model simulations are valuable in establishing upper and lower limits on the extent of possible episodic acidification to lake-resources-at-risk. The most critical parameters controlling the magnitude of lake alkalinity depressions during snowmelt episodic events are a) the lake area to watershed area ratio — a measure of input loading, and b) the epilimnion volume — a measure of dilution and mixing.     

Regionalization and susceptibility assessment to daily precipitation extremes in mainland Portugal

The present study aims to identify regions of extreme precipitation in mainland Portugal and to create a single index of extreme precipitation susceptibility (EPSI). For this purpose, twelve extreme precipitation indices were selected from the Expert Team on Climate Change Detection and Indices between 1950 and 2003. By considering only six extreme precipitation indices: R×1day, R×5day, SDII, R20, CWD and R95PTOT for the 10-year return period, between 1950 and 2003, the EPSI was developed to both annual data and meteorological season. The regionalization of extreme precipitation in Portugal were determined using a principal component analysis in T-mode. The results, show three spatial regions obtained from PCA. The three regions were analyzed separate. In the annual EPSI, the highest susceptibility areas are the mountainous regions in northern (e.g. Gerês, Peneda, Alvão, Marão and Montesinho) and central Portugal (e.g. Serra da Estrela), as well as in the Algarve (southern Portugal). Conversely, the lower susceptibility classes are in municipalities of the northeast, Alentejo and along the central-western coast. The results of EPSI show similar results in autumn and winter. In spring, however, the high susceptibility class increases in the Lisbon region and in the Sado Basin. In summer, there is an increase in susceptibility in the northeast, while susceptibility is low over much of Alentejo and Algarve, where precipitation is neglectful. This work presents a first attempt to implement this type of index for mainland Portugal. The first results are very promising, showing a consistent representation of the overall spatial distribution of extreme precipitation susceptibility. The combination of this information by municipalities can be of foremost relevance to civil protection and risk management.     

Study on the Formation Mechanism and Microphysical Characteristics of WarmSector Convective System with Multiple-Rain-Bands Organizational Mode

Based on ERA5 reanalysis data and multi-source observations, including polarimetric radar and automatic weather stations, this study analyzes the formation mechanism and microphysical characteristics of a warm-sector heavy rainfall event caused by a convective system with multiple-rain-bands organizational mode over the western coast of south China. In the early stage, under the influence of coastal convergence and topography, convection was triggered in the coastal mountainous areas and moved n...     

用雷达观测资料改进MM5初始场的初步试验研究

采用同时调整热力学和动力学变量，并考虑湿度与温度的变化相协调的初始化方法，引进雷达资料改善MM5模式的初始场。试验结果表明：经过优化处理的初始场，显著提高了模式对降水特别是甚短时(0～6h)降水的落区和量的预报准确率。其中调整热力学变量对改进降水落区预报比动力学变量的调整更为重要。     

降雨对松散堆积体滑坡稳定性影响探讨——以贵州省沿河土家族自治县为例

降雨是引发滑坡灾害的主要原因之一。通过对沿河土家族自治县具代表性的四个松散堆积体滑坡的分析,认为最大降雨量与滑坡的稳定性系数、滑面倾角均成反比,而滑带土内摩擦角增加时,滑坡启动需要的降雨强度就越大,成正比。其认识与目前该类滑坡的监测数据变化特征总体相吻合。