山东西南部南四湖水位变化特征及其与气候要素的相关分析

气候变化对水资源的影响是水文领域的一个重要的研究方向, 研究水位变化与气候要素的相关分析, 对预测湖面水位意义重大. 利用1981-2013年山东西南部南四湖水位和沿湖5个国家级气象观测站逐月平均气温、 相对湿度、 风速、 降水和蒸发量等资料, 分析了近33 a来南四湖水位变化特征及气象影响因子. 结果表明: 近33 a南四湖水位升高趋势显著, 平均每10 a升高0.46 m; 水位变化整体分两个阶段, 1989年以前为下降态势, 1989年以后为上升态势, 1994年是水位升高的突变时间点; 平均最高水位出现在3月为33.04 m, 最低出现在12月为32.03 m. 各气象要素对南四湖水位的影响呈明显的季节性, 降水量是影响年水位变化的重要气象因子, 年降水量每增加100 mm, 水位升高0.21 m, 夏季降水量对水位的影响更为显著; 蒸发量在夏、 秋季与水位呈极显著负相关; 水位在夏季与风速、 在冬季与相对湿度均呈显著负相关.     

安徽省巢湖地区二叠纪栖霞组、孤峰组硅质岩地球化学特征对比及大地构造背景分析

为探讨下扬子地区二叠系硅质岩的硅质来源和形成背景,以巢湖地区二叠纪栖霞组和孤峰组硅质岩为研究对象,收集了前人大量有关栖霞组和孤峰组的研究成果和数据,并对采自栖霞组和孤峰组硅质岩样品进行了主量元素、微量元素、稀土元素测试。栖霞组、孤峰组硅质岩样品测试结果显示,硅质岩的稀土元素经北美页岩标准化后的配分曲线近似平坦型向左倾斜,有弱Ce负异常,且HREE弱富集,反映了热水沉积硅质岩的特征。研究区硅质岩样品的Al Fe Mn三角图中,样品投点分布较广,即Al比值变化范围较大,认为是岩浆在喷发过程中受硅-铝质陆壳混染作用的结果。结合沉积环境判别指标分析认为：栖霞组硅质岩沉积时期其沉积环境主要为大陆边缘环境;孤峰组硅质岩沉积时期其沉积环境为大陆边缘-海盆过渡环境。从栖霞组到孤峰组沉积时期,海侵规模不断变大,水体变深,海盆面积扩大,研究区在不同时期沉积环境存在差异。研究区栖霞组、孤峰组硅质岩的沉积与大陆边缘裂陷活动紧密相关。     

洞庭湖区与城陵矶水位关联性的临界特征分析

采用典型测站观测资料与水力学原理相结合,分析不同情况下城陵矶水位与洞庭湖区水位关联性强弱转化的机理和临界条件以及三峡水库对其影响等问题。理论解析表明,固定流量下,湖区水位与城陵矶水位相关关系应为单调指数函数,受到区间距离、湖槽形态等多因素影响,据此提出和率定了各湖区水位的经验计算模式。利用经验计算模式对实测数据进行延展,构建了各种可能出现的湖区来流和干流水位组合下的湖区水位特征曲线族,发现湖区水位与城陵矶水位之间的关联强度存在无影响区、影响区和决定区等状态区间,通过对临界条件的定义和计算,实现了各状态区间的定量划分,并提出了各状态区间内洞庭湖区水位的估算方法。通过对三峡水库蓄水后湖床冲淤和水文条件变化的影响分析,论证了以上方法和认识在水库蓄水后的适用性。     

溱湖湿地生态系统服务价值评估研究

利用实地调研结果,结合相关文献资料,采用市场价值法、影子工程法、旅行费用法等评估方法,对溱湖湿地生态系统的物质生产、涵养水源和调蓄洪水、提供动植物栖息地、调节气候、降解污染物和科考旅游等6个效益最为突出的生态系统服务功能经济价值指标进行评估。研究表明：溱湖湿地生态系统的总价值为1.15×109元,其中直接使用价值为7.708×108元,间接使用价值为3.62×108元,非使用价值为0.18×108元。其中科考旅游价值所占比重最大,为40.84％,调节气候价值次之,而生物多样性保护价值仅占1.45%。对溱湖湿地生态系统服务功能及服务价值的探讨,可正确认识该生态系统的生态经济价值,为合理开发利用提供决策参考,确保其资源的可持续利用。     

Toxic cyanobacteria at Nakuru sewage oxidation ponds - A potential threat to wildlife

Phytoplankton composition and biomass, and microcystin content were determined on diverse dates between November 2001 and June 2006 in the final oxidation pond of the Nakuru town sewage treatment plant. The oxidation ponds as well as the rivulet that drains the same are important water sources for some wildlife in the park. The phytoplankton composition of the pond studied mostly comprised coccoid green alga species. However, occasionally cyanobacteria or euglenoids were dominant. Among the cyanobacteria, Microcystis sp. made periodic appearance in the phytoplankton, and was the dominant species on some occasions. Total phytoplankton biomass varied widely from 48 to 135 mg L⁻¹ (wet weight) while cyanobacteria biomass ranged from undetectable levels to 130 mg L⁻¹. Most phytoplankton biomass was due to one or a few species. Detectable cyanotoxin concentrations (sum of microcystins) of up to 551.08 μg mg⁻¹ dry weight (DW) of cyanobacteria biomass or 0.28 μg mg⁻¹ DW of total phytoplankton biomass were recorded in samples collected on different dates. Microcystin content did not appear to correspond to the biomass of cyanobacteria suggesting that toxin production is possibly triggered by environmental changes or changes in the proportion of toxic strains. An occasional presence of microcystins in the pond water suggests that the wildlife species, which regularly use the ponds as drinking water sources are potentially exposed to intoxication. A close monitoring of pond water phytoplankton composition is necessary to accurately quantify the potential impact of cyanotoxins on these wildlife species.     

High accuracy measurements of water storage change in Mining Lake 111, Germany

Several pressure sensors were deployed in a small lake to determine its storage change. It could be shown that a deep enough deployment and an averaging over a time interval of 1 hour and 5 measuring points allowed for a measurement of 1 or 2 kg/m² (i.e. 2 mm of water column) of changes in the storage on the scale of the lake size. This accuracy for the lake storage could not be achieved by other methods, especially if conditions were difficult, e.g. snowfall, or in cases when precipitation was small. Finally, the pressure measurement - originally intended to roughly determine the water level - turned out to be a direct measurement of water mass in the lake, which was the proper magnitude for exchanges between atmosphere and lake. Hence the measurement of lake storage could become an interesting approach even for meteorological measurements, such as precipitation and evaporation on a water surface.     

Local variability of sedimentation rate in Lake Arendsee, Germany

We measured the thickness and the dry weight of recently deposited sediment along several transects across Lake Arendsee in order to quantify the sedimentation rate and its local variability. As a time marker, we used an artificial marl layer that was deposited by a remediation program in the year 1995. A portion of the sediment deposited during the year was transported from the littoral and the top of the submerged hills to the foot of the slope, where we found the greatest deposition. Within the same lake, the deposited sediment layer varied by a factor of 4 between minimal and maximal values over the same time periods. Lake Arendsee is a holomictic and eutrophic lake with depletion of oxygen in summer time.     

青海湖流域河川径流特征及其对降水的滞后效应

以青海湖流域的布哈河为例,采用变差系数、集中度和集中期等指标,对青海湖流域内径流量、降水量在年代、年际、季节等时间尺度上进行分析,并用集中期来反映河川径流对降水的滞后效应。结果显示,河川径流年内主要集中在6—10月,特别是7月中旬至8月中旬之间;降水主要集中在5—9月,特别是7月;径流量与降水量存在极大的相关性（r=0.746＞0.443=α0.001(47)）,径流对降水具有滞后效应,多年平均滞后时间为20 d左右。     

“水资源域”概念在美国五大湖的应用(英文)

"水资源域"为在某一时段向河口或某一地点,传送水、水中营养物、泥沙或其它物质的空间范围。这一新概念与"流域"概念既相似又不同:1)流域边界以地貌特征来确定,相对稳定。而水资源域的边界以水文事件中的水和物质传播范围来确定,随时空而变化;2)流域强调给定空间范围内水和物质的时间分布,而水资源域强调水和物质随时间和空间二者相互变化的动态分布;3)水资源域综合考虑了不同尺度的时空即时变化对水资源及物质传播的影响。这一新概念应用遥感、空间分析、追踪及模拟技术分析流域空间模式与过程,为水资源探索、分析、模拟及预测提供了一种全新的方法与途径。该文以美国伊利湖茅密河为例,应用分布式大流域模型计算了水资源域的分布。     

SWAT model application and prediction uncertainty analysis in the Lake Tana Basin,Ethiopia

Lake Tana Basin is of significant importance to Ethiopia concerning water resources aspects and the ecological balance of the area. Many years of mismanagement, wetland losses due to urban encroachment and population growth, and droughts are causing its rapid deterioration. The main objective of this study was to assess the performance and applicability of the soil water assessment tool (SWAT) model for prediction of streamflow in the Lake Tana Basin, so that the influence of topography, land use, soil and climatic condition on the hydrology of Lake Tana Basin can be well examined. The physically based SWAT model was calibrated and validated for four tributaries of Lake Tana. Sequential uncertainty fitting (SUFI‐2), parameter solution (ParaSol) and generalized likelihood uncertainty estimation (GLUE) calibration and uncertainty analysis methods were compared and used for the set‐up of the SWAT model. The model evaluation statistics for streamflows prediction shows that there is a good agreement between the measured and simulated flows that was verified by coefficients of determination and Nash Sutcliffe efficiency greater than 0·5. The hydrological water balance analysis of the basin indicated that baseflow is an important component of the total discharge within the study area that contributes more than the surface runoff. More than 60% of losses in the watershed are through evapotranspiration. Copyright © 2009 John Wiley & Sons, Ltd.