2003年淮河流域大水期间体积降水量的研究

针对 2 0 0 3年梅雨期淮河流域大水提出了体积降水量的概念及其计算方法 ,在计算出淮河流域和其各子流域逐日和总体积降水量的基础上 ,将体积降水量与水文站的水位和流量进行了对比分析。结果表明 :水位对累计体积降水量有较好的即时响应 ,流量对体积降水量有较好的延迟响应。另外 ,讨论了流域体积降水量的预报问题 ,用国内外数值天气预报产品和中央气象台指导预报产品 ,进行了流域体积降水量预报试验 ,并对预报结果进行了检验分析。结果表明 :在目前天气预报水平条件下 ,利用数值天气预报和中央气象台业务预报产品制作体积降水量是可行的 ,能够延长洪水预报的预见期 ;而且 ,数值天气预报产品在预报体积降水量方面有明显的优势 ,因此可以直接利用数值天气预报产品进行体积降水量的客观预报 ,为防汛工作提供重要的依据。     

塔里木河南岸地下淡水资源分布特征及成因分析--以哈得4油田水源地为例

塔里木河南岸地下水资源，卡要为受塔里水河控制的具有高矿化背景的地下水，在塔里木河洪水的淡化影响下，形成了一定范围的地下水淡化带．这种淡化水对油田供水具有战略意义，在一定程度上制约着油田建设的发展．通过对塔埋木河南岸地下淡水资源的分布特征与成因分析．为塔河南岸地下淡水资源的合理开发与利用指明了方向．     

天山北麓玛纳斯河流域山间洼地地下水库的形成机理与开发利用的意义

天山北麓玛纳斯河流域山问洼地位于低山丘陵区山前坳陷带的南部，该区褶皱、断裂、近NS向次级张性断裂与平移构造以及山间洼地的第四系沉积物发育．山区地表水流经该段入渗，加之南部中山区的侧向补给形成山间洼地地下水库．正确认识玛纳斯河流域山间洼地地下水库的形成机理并对其进行合理的开发利用，对解决玛纳斯河流域季节性缺水及枯水年缺水有重要意义．笔应用构造及地表水由山区水站至山口渠首站实测流量损失的研究成果，揭示了玛纳斯河流域山间洼地地下水库的形成及调蓄作用，并概算了补给量，为今后开发利用山间洼地地下水库水资源提供了依据．     

柯坪河流域地下水资源的有效利用方式探讨

柯坪河流域分布于新疆境内，包括苏巴什盆地、柯坪盆地和阿恰山前地区．柯坪河是柯坪县最大的河流，上游名为苏巴什河，下游与红沙河汇合后称阿恰河．盆地与山前平原由柯坪河串起，水资源沿途不断汇入，并在不同河段有反复出露入渗．流域内无高山冰川，中山区降水是水资源的唯一来源．流域内水质普遍较差，溶解性总固体含量由北西向南东逐渐增高，当地居民生活饮用水供水水质不能满足生活饮用水标准．根据当地的地下水水资源特点，采取合适的管理利用方式，可使得较低溶解性总固体含量地下水资源能够更有效的被利用．     

河流调整中的熵、熵产生和能耗率的变化

河流是一个真正的开放系统,而不是孤立系统或封闭系统。运用经典热力学和非平衡态热力学基本原理,分析研究了河流调整中的熵、熵产生和能耗率的变化。指出:熵和熵产生是两个不同的概念;最小熵产生原理等价于最小能耗率原理;冲积河流在调整过程中遵循最小熵产生原理或最小能耗率原理,而不是最大熵原理。     

干旱区内陆河流域水文与水资源问题

阐述了我国水文水资源研究的发展阶段,面临的主要问题,以及当前研究中的热点问题。以新疆地区为例,对干旱区内陆河流域的水文水资源研究方向作了初步探讨。     

Some Morphological Aspects and Hydrological Characterization of the Tagus Floods in the Santarém Region, Portugal

In Portugal, few studies have been made of the historical floods of the RiverTagus (the longest in the Iberian Peninsula). This fact led to the study of theLower Tagus (Santarém region) using written historical documents,cartographic documents and hydrological data, consisting mainly of waterlevel records. With the support of the historical documents and the analysisof all the maps, it was possible to verify that the human intervention has beenfundamental in the morphological changes of the Tagus' channel. It becameaware that the river changed from a braided to a single channel with alternatebars. From the hydrological data, return periods for the floods were determined,using the Pearson Type 3 distribution. The selection of the most important floods,from 1855 to 1998, enabled to build a ``flood hazard scale' for this region.     

Evolution and deposits of a gravelly braid bar, Sagavanirktok River, Alaska

The evolution, migration and deposits of a gravelly braid bar in the Sagavanirktok River, northern Alaska, are described in unprecedented detail using annual aerial photographs, ground‐penetrating radar (GPR) profiles, trenches and cores. Compound braid bars in the Sagavanirktok River form by chute cut‐off of point bars and by growth of mid‐channel unit bars. Subsequent growth is primarily by accretion of unit bars onto their lateral and downstream margins. The upstream ends of braid bars may be sites of erosion or unit bar deposition. Compound braid bar deposits vary in thickness laterally and are thickest in medial sections and near cut banks. Compound bar deposits are typically composed of three to seven sets of simple large‐scale inclined strata, each simple set formed by a unit bar. The simple large‐scale strata contain medium‐scale cross‐strata (from dune migration) and planar strata (from migration of bedload sheets). The upstream and medial parts of compound braid bar deposits show very little vertical variation in grain size, but downstream and lateral margins tend to fine upwards. The deposits are mostly poorly sorted sands and gravels, although sands tend to be deposited at the top of the braid bar, and open‐framework gravels preferentially occur near the top and base of the braid bar. The patterns of braid bar growth and migration, and the nature of the deposits, described from the Sagavanirktok River are generally similar to other sandy and gravelly braided rivers, and consistent with the theoretical braid bar model of Bridge (1993).     

Local Modeling模式及其在月径流预测中的应用

Local Modeling方法是一种动力系统预测方法，将其应用于河西内陆区黑河干流出山口莺落峡水文站月平均流量的中长期预测预报，取得了较为理想的成果。预测试验的结果表明，该预测模型有较高计算精度，尤其适用于非主汛期各月的月平均流量的预测；对于主汛期6～9月的月平均流量的预测，在考虑前期来水与预见期内降水的影响后，亦可获到较为理想的预测结果。可以认为，该方法的预报精度达到了水文情报预报规范的要求，Local Modeling方法的应用，将为西北干旱地区河川径流的中长期预报提供了一个新的途径。