不同雨强条件下太湖流域典型蔬菜地土壤磷素的径流特征

以太湖流域典型区域无锡市近郊区鸿声镇的蔬菜地为研究对象,采用人工模拟降雨的方法,通过野外径流小区试验,研究了不同雨强对菜地土壤磷素径流流失的影响.结果表明,初始产流时间随雨强的增大呈幂函数减小(R²=0.99),径流量在雨强较小时,缓慢上升,但随着雨强的增大急剧上升,在雨强0.83、1.17和1.67 mm·min^-1时,总磷(TP)和颗粒态磷(PP)都表现为初始流失浓度较高,随降雨历时延长略有下降,最终趋于稳定,而在大雨强2.50 mm·min^-1时,TP和PP呈现波浪式起伏,没有明显的变化趋势;在整个降雨-径流过程中,溶解态磷(DP)变化比较平缓,占TP的比例为20%～32%,而PP占TP的比例为68%～80%,其变化规律与TP相一致,由此可见,PP是土壤磷素流失的主要形态;通过对比不同雨强下不同形态磷素的流失率,发现TP的流失率,大雨强2.50 mm·min^-1是小雨强0.83 mm·min^-1的20倍,而DP的流失率,却是33倍,这表明随着雨强的增加,加速土壤PP流失的同时,也大大促进了DP的流失,主要原因是降雨前表施磷肥,使得磷肥中大量的无机态磷溶解释放到水环境中,增加了DP的流失,从而会加重受纳水体富营养化的程度.     

降雨过程中红壤团聚体粒径变化对溅蚀的影响

为揭示团聚体粒径动态变化对溅蚀的影响,通过室内人工模拟降雨试验,以第四纪粘土、泥质页岩发育红壤为研究对象,研究了酒精预湿润后的2~5 mm团聚体在降雨过程中粒径动态变化及溅蚀率的变化。试验结果表明：在60 mm/h雨强下,团聚体受雨滴机械打击破碎主要发生在降雨的最初阶段,团聚体＞0.25 mm百分含量（P＞0.25）及平均重量直径（M）均随降雨时间（T）增加呈幂函数减小,溅蚀率（Dr）随降雨时间（T）增加呈幂函数增加,而溅蚀率（Dr）随团聚体平均重量直径（M）减小呈幂函数增大。为揭示不同土样在降雨溅蚀过程中溅蚀率的变化规律,利用团聚体稳定性特征参数-机械破碎指数（R）及降雨时间（T）,建立了不同团聚体稳定性土样溅蚀率随降雨时间变化的经验方程,且方程可决系数较高（R2=0.82）,揭示出团聚体稳定性越好,其破碎过程越缓慢,溅蚀率越小。研究结果为红壤区土壤侵蚀的防治及侵蚀机理研究提供了新思路     

TRMM 3B42卫星降水数据在赣江流域径流模拟中的应用

以赣江流域为研究区,基于观测降水和TRMM准实时数据(3B42RTV6、3B42RTV7)和分析数据(3B42V6、3B42V7),驱动VIC水文模型,开展卫星降水产品在赣江流域的水文模拟,评估TRMM降水产品在水文模拟中的应用能力。结果表明:(1)在赣江流域,3B42V7估算的降水与实测降水的对比结果最好,3B42RTV6的估算精度最低,3B42RTV7较3B42RTV6在赣江流域的降水估算精度提升非常明显;(2)在径流模拟方面,3B42V6和3B42V7在日尺度上尽管对洪峰的模拟有所偏差,但模拟结果仍能反映径流变化特征,在月尺度上模拟结果精度较高,纳什系数均在0.9以上,并且二者在4、5月的径流模拟结果较好,7、8月的模拟结果较差,而3B42RTV6对径流的模拟能力较差,日径流量和月径流量均呈现明显低估,3B42RTV7对径流的模拟结果比3B42RTV6有明显改善,可以满足实时水文预报的需求。     

Neural network forecasting of air pollutants hourly concentrations using optimised temporal averages of meteorological variables and pollutant concentrations

The new method for the forecasting hourly concentrations of air pollutants is presented in the paper. The method was developed for a site in urban residential area in city of Zagreb, Croatia, for four air pollutants (NO₂, O₃, CO and PM₁₀). Meteorological variables and concentrations of the respective pollutant were taken as predictors. A novel approach, based on families of univariate regression models, was employed in selecting the averaging intervals for input variables. For each variable and each averaging period between 1 and 97 h, a separate model was built. By inspecting values of the coefficient of correlation between measured and modelled concentrations, optimal averaging periods for each variable were selected. A new dataset for building the forecasting model was then calculated as temporal moving averages (running means) of former variables. A multi-layer perceptron type of neural networks is used as the forecasting model. Index of agreement, calculated for the entire dataset including the data for model building, ranged from 0.91 to 0.97 for the respective pollutants. As suggested by the analysis of the relative importance of the input variables, different agreements for different pollutants are likely due to different sources and production mechanisms of investigated pollutants. A comparison of the new method with more traditional method, which takes hourly averages of the forecast hour as input variables, showed similar or better performance. The model was developed for the purpose of public-health-oriented air quality forecasting, aiming to use a numerical weather forecast model for the prediction of the part of input data yet unknown at the forecasting time. It is to expect that longer term averages used as inputs in the proposed method will contribute to smaller input errors and the greater accuracy of the model.     

金竹山土朱煤矿开采地表沉降规律与灰色预测模型研究

针对金竹山矿业公司土朱煤矿煤层赋存条件,依据采动理论的裂缝垂直分带模型,分析地表沉降和塌陷的机理;提出在采煤活动阶段应进行地表实际位移观测,经数据处理后得到地面沉降曲线,以确保地面人类活动的安全;在采煤活动后阶段则实施灰色预测地面沉降,即通过采煤活动阶段的地表实际观测数据为历史原始数据序列,建立灰色Logistic模型;并对采煤活动后阶段的地面沉降进行预测。精度检验表明:灰色Logistic模型预测精度高,利用该模型预测地面沉降可减少地面沉降监测经费和实时提供预警信息,以确保开采区域内人们生命财产安全。     

Climate dynamics and extreme precipitation and flood events in Central Europe

Past changes and possible future variations in the nature of extreme precipitation and flood events in Central Europe and the Alpine region are examined from a physical standpoint. An overview is given of the following key contributory physical processes: (1) the variability of the large-scale atmospheric flow and the associated changes of the North-Atlantic storm track; (2) the feedback process between climate warming and the water cycle, and in particular the potential for more frequent heavy precipitation events; and (3) the catchment-scale hydrological processes associated with variations in major river flooding events and that are related to land-use changes, river training measures, and shifts in the proportion of rain to snowfall. In this context an account is provided of the possible future forecasting and warning methodologies based upon high-resolution weather prediction and runoff models. Also consideration is given to the detectability of past (future) changes in observed (modeled) extreme events. It is shown that their rarity and natural fluctuation largely impedes a detection of systematic variations. These effects restrict trend analysis of such events to return periods of below a few months. An illustration using daily precipitation from the Swiss Alps does yield evidence for pronounced trends of intense precipitation events (return period 30 days), while trends of stronger event classes are not detectable (but nevertheless can not be excluded). The small detection probability for extreme events limits possible mitigation of future damage costs through an abatement of climate change alone, and points to the desirability of developing improved early forecasting/warning systems as an additional no-regret strategy. This revised version was published online in July 2006 with corrections to the Cover Date.     

不同热力背景对城市降雨（暴雨）的影响（Ⅰ）—降雨分布的空间差异

如何准确描述和预测降雨（暴雨）的空间分布,已成为城市减灾防灾的重要内容,本文探讨了利用热信息研究城市降雨空间分布差异的方法。在遥感、GIS技术支持下,利用对没的期夏、冬季热图像的主成分析和图像分割,将上海市1958－1998年热环境划分为自然、低温、高温3种不同的热力背景。在此基础上,就不同热力背景对城市降雨（暴雨）分布空间差异的影响规律进行了研究,为建立城市降雨空间差异预报模型奠定了基础。     

降雨影响噪声自动监测数据的有效性判定分析

选取北京市近5年夏半年（4—9月）夜间的降雨数据及相关噪声自动监测小时等效声级,对小时雨量与噪声自动监测数据进行数学统计分析,找出影响噪声监测数据的小时雨量值及不同声级受雨噪声影响的雨量限值,作为降雨对噪声自动监测小时等效声级的有效性判定条件。     

空气质量多模式预报系统在中山市的应用

介绍了中山市空气质量多模式预报系统。对2015年3月—2016年2月的预报效果评估表明:系统可以较好地反映污染物的变化趋势但仍存在系统性偏差。通过对排放源清单的调整优化及对模式干沉降模块的改进使模式系统的偏差显著减小。总结并建立中山市污染天气案例库,发现在典型污染天气形势下,除O3-8 h外,其他污染物均值均能达到空气质量二级标准。未来将从2个方面提高中山市空气质量预报预警系统的实用性,包括逐步实现污染源排放清单的动态及时更新和提高极端气象条件下O3污染预报能力。     

模拟降雨径流作用下红壤坡面侵蚀水动力学机制

土壤侵蚀过程受控于侵蚀外营力和土壤抗侵蚀性能,深入理解坡面流水动力学特性及其侵蚀动力是研究土壤侵蚀动力学机制的基础。利用可变坡土槽,通过不同雨强(60、90和120 mm/h)和径流冲刷(10、15和20 L/min)组合模拟试验,研究了第四纪黏土红壤坡面水流的水动力学特征参数及其与土壤侵蚀量间的关系。结果显示:降雨和径流冲刷影响了坡面产流产沙过程和坡面流水力学特性,其中平均流速v、平均水深h、雷诺数Re和水流功率ω均随降雨强度和上方来水流量的增加而增大,相对水深曼宁糙率n/h则减小,其水力学他参数(弗如德数Fr、阻力系数f和水流剪切力τ)变化规律不明显。坡面水流平均速度取值范围为0.21~0.45 m/s,平均水深取值范围为5.6~9.4 mm,在试验条件下红壤坡面侵蚀水流流态大部分均处于"紊流-急流区"。不论从径流角度看或是从泥沙角度分析,由相对水深和曼宁糙率系数两种水动力因子共同组成的复合水动力特征参数-相对水深曼宁糙率,是表征不同上方来水流量和降雨强度条件下第四纪粘土红壤坡面侵蚀特征的水动力参数。