土地利用方式对珠江河口生态环境的影响分析

本文探讨了珠江三角洲近年来主要土地利用方式的变化,其中城市化和植被覆盖的减少,以及农业施肥量 的增加,是造成陆源污染物增加的主要原因。分析了影响珠江河口生态环境的主要陆源污染物(泥沙、氮磷营养元 素、重金属和有机物)的产生和迁移过程,以及对河口生态环境的影响关系。从分析中可以看到,土地利用的变化能 够影响陆源污染物质的产生和迁移,合理的土地利用方式是降低陆源污染物质,改善珠江河口生态环境的重要措 施。陆源物质的产生与水循环密切相关,利用流域分布式水循环模型量化研究不同土地利用下的陆源物质产生、迁 移以及对河口生态环境的影响是未来主要发展方向。     

潮河流域降水-径流关系变化及驱动因子识别

基于1973-2010年长系列日降水、径流数据,利用降水径流双累积曲线、M-K统计检验和降水集中度等方法,结合HIMS模型模拟结果,分析了潮河流域降水-径流关系的变化及其原因。得到的主要结论如下：（1）近38年来,潮河流域降水变化较小,但径流下降趋势显著,降水-径流关系发生了两次突变,即在1973-1983年、1984-1998年和1999-2010年三个阶段降水-径流关系存在明显差异;（2）大雨日降水总和（P_≥20）与径流深关系较为密切,其变化是导致降水-径流关系在1983年发生突变的主要驱动因子;（3）HIMS模型模拟结果显示,1999-2010年潮河流域下垫面条件较前两阶段变化明显,人类活动引起的减水效应由第二阶段的14.93%增加至第三阶段的25.78%,人类活动是导致降水-径流关系在1998年发生突变的主要驱动因子。     

基于分布式模拟的流域水平衡分析研究——以海河流域为例

流域水平衡分析是进行水资源科学评价与合理配置的基础,传统的流域水平衡分析大多是基于有限的站点观测资料和简单的集总式模型,很难适应考虑水循环空间变异性的复杂大流域水资源综合管理的需求.本文基于分布式水文模拟技术,探讨了一种能够考虑流域内部上、下游关系的水平衡分析方法.并以海河流域为例,构建分布式SWAT模型,对海河流域及水资源三级分区的水平衡状况进行分析,在此基础上探讨海河流域维持健康水平衡关系,降低流域蒸发,进行农业真实节水的必要性和有关对策.     

河湖水系连通理论基础与优先领域

河湖水系连通是中国正在推进的重大治水战略,是提高国家水资源统筹调配能力、水生态环境修复能力和河湖健康保障能力的重大举措,也是提高水旱灾害抵御能力的重要保障.目前河湖水系连通的知识比较零散,尚未形成系统的理论体系,河湖水系连通理论基础的研究,对理论体系的构建、战略的实施和持续推进具有重要意义.本文基于河湖水系连通的理论研...     

Investigation into the daily precipitation variability in the Yangtze River Delta,China

In this article, by using the daily precipitation data measured at 58 meteorological stations, spatial and temporal variability of daily precipitation including zero rainfall values (called “precipitation”) and without zero rainfall values (called “rain”) and four precipitation extrema (P₀, P₂₀, P₅₀, and P₁₀₀ representing the daily precipitation with the magnitude smaller than 0.1 mm, bigger than 20 mm, 50 mm, and 100 mm per day, respectively) in the Yangtze River Delta (YRD) during 1958–2007 were analyzed, and the effects of urbanization were further investigated. Results indicate that (i) differing from the downward trends in 1958–1985, daily precipitation and rain in 1986–2007 show slowly downward trends in the mid YRD but show upward trends in the northern and southern YRD. (ii) Spatial and temporal variability of the rain is more complex than daily precipitation. Both of them become smaller but show more obvious fluctuations in 1986–2007. (iii) Urbanizations cause not only the urban rainfall island problem but also more obvious fluctuations of rain intensity in the mid YRD, reflecting more uncertainty of daily precipitation variability. (iv) Urbanizations have little effects on the variability of P₀ and P₁₀₀ but cause notable increases of P₂₀ and P₅₀. (v) The spatial variability of daily precipitation and precipitation extrema in 1958–1985 clearly shows a breakpoint at 30°20′N latitude, but the breakpoint disappears afterward because of the effects of urbanization. Copyright © 2012 John Wiley & Sons, Ltd.     

Discrete wavelet‐based trend identification in hydrologic time series

Trend identification is a substantial issue in hydrologic series analysis, but it is also a difficult task in practice due to the confusing concept of trend and disadvantages of methods. In this article, an improved definition of trend was given as follows: ‘a trend is the deterministic component in the analysed data and corresponds to the biggest temporal scale on the condition of giving the concerned temporal scale’. It emphasizes the intrinsic and deterministic properties of trend, can clearly distinguish trend from periodicities and points out the prerequisite of the concerned temporal scale only by giving which the trend has its specific meaning. Correspondingly, the discrete wavelet‐based method for trend identification was improved. Differing from those methods used presently, the improved method is to identify trend by comparing the energy difference between hydrologic data and noise, and it can simultaneously separate periodicities and noise. Furthermore, the improved method can quantitatively estimate the statistical significance of the identified trend by using proper confidence interval. Analyses of both synthetic and observed series indicated the identical power of the improved method as the Mann–Kendall test in assessing the statistical significance of the trend in hydrologic data, and by using the former, the identified trend can adaptively reflect the nonlinear and nonstationary variability of hydrologic data. Besides, the results also showed the influences of three key factors (wavelet choice, decomposition level choice and noise content) on discrete wavelet‐based trend identification; hence, they should be carefully considered in practice. Copyright © 2012 John Wiley & Sons, Ltd.     

2009年6月九江一次典型雷击事故原因分析

根据2009年6月江西省九江一次雷击事故现场的勘察结果,利用雷电监测数据和剩磁检测数据对雷电流大小进行了对比分析,认为造成雷击事故的可能原因有三方面,分别是电源SPD的保护级别不够、SPD的容量太小、接地引下线过长和截面积太小。最后,提出了相应的整改建议。     

What factors are responsible for the Beijing storm?

The Beijing storm of 21 July attracted public and social attention widely. Recently, some scientists expressed their opinion that urbanization has exacerbated the storm. However, our analysis suggests that while urbanization might have played some role, it is mainly the topographic effect that made the storm intense. Our conclusion is that the Beijing storm of 21 July is generated due to natural climatic factors in a changing climate system. Moreover, we think that the factor that contributes to the tremendous flooding disaster of 21 July is the low standards for mountain torrents control for medium and small rivers in the affected region. Therefore, the mountain torrents disasters control and medium and small rivers harnessing should be the foremost task in China’s water conservancy construction in the future, and effective adaptation strategies should also be developed and implemented to cope with the climate change impacts.     

The impact of changing environments on the runoff regimes of the arid Heihe River basin, China

This study analyzed the inter- and inner-annual variations of discharge regimes in the upper and mid reaches of the Heihe River basin. These variations then correlated with temperature and precipitation variations in the area. The differences between the runoff regimes at the upper and mid reaches were compared, and the human impacts on discharge variations in the Heihe River were discussed. The results indicate that in the upper reaches, the long-term trends and periods of discharge and precipitation correlate well. In the mid reaches, the discharge and temperature trends correlate well, and the short discharge and precipitation periods correlate well. Precipitation increases would generate more runoff in both the upper and mid reaches, but the effects of temperature increases on discharge are different in the upper and mid reaches. Temperature increases would enhance the glacial ablation processes and increase runoff in the upper reaches. However, temperature increases would increase the evaporation and decrease runoff in the mid reaches. After the 1980s, higher temperature enhanced snow and glacial melt, and increasing precipitation increased the discharge in the upper reaches. Although increasing precipitation increased some discharge, great human activities caused a notable discharge decrease in the 1990s in the mid reaches, especially during the spring to autumn when large amounts of water resources were used for irrigation. In summary, both precipitation and temperature impact the availability of water resources in the study area, and active and effective adaptation strategies should be developed to improve the efficiency of water resource exploration and to prevent the desertification processes in the arid Heihe River basin.     

水系统综合管理与模拟工具(WIM)的设计与开发

大规模的人类活动已经将不同流域连接为一个整体系统,针对跨流域复杂水问题的研究,从科研和管理的角度,迫切需要发展集多源数据集成、水循环过程模拟和决策支撑为一体的水系统综合管理与模拟平台。本文面向国家需求,采用面向对象设计方法,基于GIS平台创建了具有自主知识产权的WIM(Water system Integrated Modeling and Management Tool)系统。WIM是一个基于模块化结构的水系统综合管理与模拟工具,实现了水循环多源数据集成和多过程耦合模拟,具有数据动态加载、模型在线耦合和模块按需定制等功能。WIM提出为复杂水问题的研究,跨流域调水对陆地水循环影响与水安全分析提供了支撑,促进了中国在水循环综合模拟与系统集成等方面的科技发展。