鄱阳湖水龄季节性变化特征   总被引：3，自引：1，他引：2  

张素香  许新发  徐兴  CHU Vicnent H  邬年华  付莎莎  李熙 《湖泊科学》2018,30(1):199-210

基于环境水动力学模型EFDC源程序,建立了染色剂模型和水龄模型,在将模型与航测水文数据验证吻合的基础上,分别计算了鄱阳湖自然条件下春、夏、秋、冬季的水龄和倒灌前后鄱阳湖染色剂和水龄分布的变化,以及五河水系各分支河流水龄.分季节的水龄计算表明鄱阳湖水体交换受季节性来水影响明显.夏、秋季的水龄相对较小,在多数年份又受到长江水倒灌的影响导致水龄有所增大;冬、春季水龄较大,亦无长江水倒灌现象,相较于夏、秋季,水域面积明显减少.分支流的水龄计算表明,西南湖区的水体交换主要受到赣江的影响,西北湖区水体交换主要受到修水和赣江的影响,南部湖区主要受到抚河与信江的影响,东部湖区主要受到饶河的影响,湖心区和入江水道则受到五河水系的综合影响.同时水龄的研究表明拟建的鄱阳湖水利枢纽工程"调枯不调洪"的原则是合理的,为鄱阳湖水利枢纽工程论证提供了重要的参考依据.  相似文献   

呼伦湖流域氢氧稳定同位素特征及其对水体蒸发的指示作用     

高宏斌  李畅游  孙标  史小红  赵胜男  樊才睿 《湖泊科学》2018,30(1):211-219

以呼伦湖流域为例研究该区域氢氧稳定同位素在不同水体中的分布特征,并探讨氢氧稳定同位素对在该区域水文过程的指示作用.流域湖水、入湖河水、周边地下水水样的氢氧稳定同位素分析结果表明,夏季8月份湖水中的重氢氧稳定同位素比7月份的更加富集.而河水中氢氧稳定同位素在同一时间内的河流沿程上存在明显的差异,下游水体中的氢氧稳定同位素要比上游更加富集.研究区的河水和湖水的δ~(18)O-δD关系特征显示,河水和湖水的δ~(18)O-δD的关系点全部位于当地降水线的右下方,说明流域河水和湖水水体受到明显的蒸发作用.而井水的δ~(18)O-δD的关系点大都靠近当地大气降水线,说明这一区域的地下水主要是大气降水渗入地下形成.利用氢氧稳定同位素分馏过程中的氢氧稳定同位素的比率与剩余水体的关系,并在考虑湿度因子的动力分馏模拟下,计算出河水的剩余水体比例在0.85~0.96之间,而湖水的剩余水体比例在0.71~0.77之间.最后,利用氢氧稳定同位素质量平衡法对呼伦湖多年平均蒸发量进行了估算,估算的湖泊蒸发量结果与实测值相近,相对误差为5.4%,说明方法可靠.氢氧稳定同位素对于研究区域水文过程有着重要的作用,在今后呼伦湖流域水文研究中有着更加广泛的应用空间.  相似文献   

基于功能群对比分析黔中普定水库和桂家湖水库浮游植物群落结构特征   总被引：6，自引：1，他引：5  

胡月敏  李秋华  朱冲冲  欧腾  李红梅  陈峰峰  高永春  骆兰 《湖泊科学》2018,30(2):403-416

为了解黔中地区浮游植物群落结构特征,同时为了研究功能群对水环境的指示,选取黔中2座典型水库——普定水库和桂家湖水库,分别于2015年的枯水期(1月)和丰水期(8月)进行浮游植物采样分析.结果表明:(1)2座水库营养盐无显著性差异,水动力学参数(水温、混合层深度、透明度、真光层深度、水柱相对稳定性、光的可获得性)存在显著性差异.(2)普定水库共归类出18个功能类群,桂家湖水库共归类出15个功能类群.普定水库优势功能群水期分布特征:枯水期LO→丰水期B+P;桂家湖水库优势功能群水期分布特征:枯水期B+J+Y→丰水期B+J.垂直层面上,普定水库枯水期以甲藻组成的优势功能群LO在三岔街采样点表层藻类生物量达到峰值(18529μg/L),远高于中层和底层水体以及其他采样点,与该点水文特性以及组成LO的甲藻特征有关.丰水期以硅藻组成的功能群P在小河采样点的中层藻类生物量最大(2741μg/L),远高于该点的表层水体及其他采样点,与P类群耐受低光有关.而桂家湖水库由于面积小、水位浅且少有人为干扰,故样点间环境因子差异小,整个水体优势功能群分布高度一致.(3)经RDA分析,水动力学参数、营养盐、p H和电导率是影响普定水库浮游植物群落分布的主要环境因子;桂家湖水库仅水动力学参数(水温和水柱相对稳定性)是主要因子.(4)从浮游植物功能群适宜生境来看,普定水库为富营养水体,桂家湖水库为中到富营养水体.由分析得出隶属于不同水域的2座水库浮游植物群落结构及水环境均存在显著性差异.  相似文献   

基于OLCI数据的洱海叶绿素a浓度估算     

毕顺  李云梅  吕恒  朱利  牟蒙  雷少华  徐杰  温爽  丁潇蕾 《湖泊科学》2018,30(3):701-712

海陆颜色仪(OLCI)是搭载在Sentinel-3上的新型水色遥感传感器,其对于内陆清洁水体水质遥感监测的适用性有待验证.本研究以评价水体富营养化程度的重要参数叶绿素a(Chl.a)浓度为指标,以高原湖泊洱海为研究区,基于2017年4月19日共20个星地同步实验数据,建立了3种可应用于OLCI数据的Chl.a浓度遥感估算模型(波段比值模型、三波段模型以及FLH模型),并估算了当日洱海Chl.a浓度的空间分布.结果表明:(1)选用波段Oa8(665 nm)、Oa11(708.75 nm)和Oa12(753.75 nm)构建的三波段模型最适用于洱海水域的Chl.a浓度估算,其平均绝对误差百分比为12.37%,低于波段比值模型的16.04%和FLH模型的13.50%;(2)对OLCI使用的大气校正方法中,基于去瑞利散射的暗像元法对估算模型的适用性要优于6S、FLAASH以及QUAC方法;(3)洱海OLCI影像中近岸水体受邻近效应影响严重,近红外波段Oa12(753.75 nm)受陆地邻近效应影响的距离为1~2个像元,而Oa8(665 nm)、Oa10(681.25 nm)和Oa11(708.75 nm)波段为1个像元;(4)2017年4月19日全湖Chl.a浓度均值为12.15±5.72μg/L,洱海中部水域Chl.a浓度最低(9.00~12.00μg/L),北部水域浓度最高(12.00~22.76μg/L),南部水域浓度稍高(12.00~14.00μg/L),阳南溪与波罗江入湖口受降雨径流的影响出现"羽流现象",导致Chl.a浓度偏低,约为8.33μg/L.  相似文献   

设计反应谱标定方法的研究现状与讨论          下载免费PDF全文

蒋晓涵  薄景山    王竞  韩昕  郭晓云  赵培培  谭启迪 《世界地震工程》2018,34(4):038-48

设计反应谱及其标定方法的研究是工程抗震研究领域的基本问题之一。在现有研究成果的基础上，归纳和总结了设计反应谱及其标定方法的研究历史和现状；评述了研究进程中的若干节点问题；介绍了设计反应谱的标定原理和当前几种有代表性的设计反应谱的标定方法；分析了设计反应谱标定参数的影响因素。在此基础上，对设计反应谱及其标定方法研究中的强震资料积累问题、谱形状问题、标定参数的确定问题以及标定方法等问题进行了讨论并提出了改进和进一步研究的建议。  相似文献   

辽宁省地震重点监视防御区典型村镇房屋抗震现状调查与分析          下载免费PDF全文

梁永朵  姜金征  张文静  惠杨 《世界地震工程》2018,34(3):103-110

为了解辽宁省地震重点监视防御区典型村镇房屋抗震能力现状，通过现场调查的方式对辽阳、锦州和盘锦等地的村镇民居进行了随机抽样调查，并从场地选择、地基基础、建筑材料、构件的连接及抗震构造措施等方面对其抗震性能进行了分析。总体上看:房屋抗震能力不足的比例占85%左右，主要体现在抗震构造措施缺失及构件连接问题上。在此基础上对提高村镇房屋抗震性能提出了一些对策和建议，为辽宁省农村防震减灾工作提供参考。  相似文献   

砌体和钢混结构建筑群的破坏概率模型研究          下载免费PDF全文

王磊  孙海  高惠瑛  姜慧 《世界地震工程》2018,34(3):146-152

通过对已有震害预测的易损性矩阵进行研究，对目前易损性矩阵的概率模型进行了修改。分析了华南地区建筑群的3种主要结构类型:钢混结构，砖混结构和砖木结构。将3种结构在各种烈度下的破坏状态分别进行了拟合和参数计算，针对其差异性提出了偏态分布和正态分布，给出了不同的破坏概率模型。在广东省惠州市数据的验算下，证明了对于砌体和钢混建筑群易损性矩阵的呈现有一定的参考意义。  相似文献   

The effects of initial soil moisture conditions on swale flow hydrographs          下载免费PDF全文

Hendrik Rujner  Günther Leonhardt  Jiri Marsalek  Anna‐Maria Perttu  Maria Viklander 《水文研究》2018,32(5):644-654

The effects of soil water content (SWC) on the formation of run‐off in grass swales draining into a storm sewer system were studied in two 30‐m test swales with trapezoidal cross sections. Swale 1 was built in a loamy fine‐sand soil, on a slope of 1.5%, and Swale 2 was built in a sandy loam soil, on a slope of 0.7%. In experimental runs, the swales were irrigated with 2 flow rates reproducing run‐off from block rainfalls with intensities approximately corresponding to 2‐month and 3‐year events. Run‐off experiments were conducted for initial SWC (SWC_ini) ranging from 0.18 to 0.43 m³/m³. For low SWC_ini, the run‐off volume was greatly reduced by up to 82%, but at high SWC_ini, the volume reduction was as low as 15%. The relative swale flow volume reductions decreased with increasing SWC_ini and, for the conditions studied, indicated a transition of the dominating swale functions from run‐off dissipation to conveyance. Run‐off flow peaks were reduced proportionally to the flow volume reductions, in the range from 4% to 55%. The swale outflow hydrograph lag times varied from 5 to 15 min, with the high values corresponding to low SWC_ini. Analysis of swale inflow/outflow hydrographs for high SWC_ini allowed estimations of the saturated hydraulic conductivities as 3.27 and 4.84 cm/hr in Swales 1 and 2, respectively. Such estimates differed from averages (N = 9) of double‐ring infiltrometer measurements (9.41 and 1.78 cm/hr). Irregularities in swale bottom slopes created bottom surface depression storage of 0.35 and 0.61 m³ for Swales 1 and 2, respectively, and functioned similarly as check berms contributing to run‐off attenuation. The experimental findings offer implications for drainage swale planning and design: (a) SWC_ini strongly affect swale functioning in run‐off dissipation and conveyance during the early phase of run‐off, which is particularly important for design storms and their antecedent moisture conditions, and (b) concerning the longevity of swale operation, Swale 1 remains fully functional even after almost 60 years of operation, as judged from its attractive appearance, good infiltration rates (3.27 cm/hr), and high flow capacity.  相似文献   

Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data          下载免费PDF全文

Julia Kemppinen  Pekka Niittynen  Henri Riihimäki  Miska Luoto 《地球表面变化过程与地形》2018,43(5):1019-1031

Soil moisture has a pronounced effect on earth surface processes. Global soil moisture is strongly driven by climate, whereas at finer scales, the role of non‐climatic drivers becomes more important. We provide insights into the significance of soil and land surface properties in landscape‐scale soil moisture variation by utilizing high‐resolution light detection and ranging (LiDAR) data and extensive field investigations. The data consist of 1200 study plots located in a high‐latitude landscape of mountain tundra in north‐western Finland. We measured the plots three times during growing season 2016 with a hand‐held time‐domain reflectometry sensor. To model soil moisture and its temporal variation, we used four statistical modelling methods: generalized linear models, generalized additive models, boosted regression trees, and random forests. The model fit of the soil moisture models were R² = 0.60 and root mean square error (RMSE) 8.04 VWC% on average, while the temporal variation models showed a lower fit of R² = 0.25 and RMSE 13.11 CV%. The predictive performances for the former were R² = 0.47 and RMSE 9.34 VWC%, and for the latter R² = 0.01 and RMSE 15.29 CV%. Results were similar across the modelling methods, demonstrating a consistent pattern. Soil moisture and its temporal variation showed strong heterogeneity over short distances; therefore, soil moisture modelling benefits from high‐resolution predictors, such as LiDAR based variables. In the soil moisture models, the strongest predictor was SAGA (System for Automated Geoscientific Analyses) wetness index (SWI), based on a 1 m² digital terrain model derived from LiDAR data, which outperformed soil predictors. Thus, our study supports the use of LiDAR based SWI in explaining fine‐scale soil moisture variation. In the temporal variation models, the strongest predictor was the field‐quantified organic layer depth variable. Our results show that spatial soil moisture predictions can be based on soil and land surface properties, yet the temporal models require further investigation. Copyright © 2017 John Wiley & Sons, Ltd.  相似文献   

Composition and flux of suspended organic matter in the middle and lower reaches of the Changjiang (Yangtze River) — impact of the Three Gorges Dam and the role of tributaries and channel erosion          下载免费PDF全文

Hongyan Bao  Ying Wu  Jing Zhang  Bing Deng  Qing He 《水文研究》2014,28(3):1137-1147

To investigate the sources of particulate organic matter (POM) and the impact of Three Gorges Dam (TGD), two large lakes and erosion processes on determining the composition and flux of POM in low water discharge periods along the middle and lower Changjiang, suspended particulate samples were collected along the middle and lower reaches of the Changjiang (Yangtze River) in January 2008. Organic geochemistry of bulk sediment (particulate organic carbon, organic carbon to nitrogen molar ratio (C/N), stable carbon isotope (δ¹³C) and grain size) and biomarker of bulk sediment (lignin phenols) were measured to trace the sources of POM. The range of C/N ratios (6.4–8.9), δ¹³C (?24.3‰ – ?26.2‰) and lignin phenols concentration Λ8 (0.45 mg/100 mg OC‐2.00 mg/100 mg OC) of POM suggested that POM originated from the mixture of soil, plant tissue and autochthonous organic matter (OM) during the dry season. POM from lakes contained a higher portion of terrestrial OM than the mainstream, which was related to sand mining and hydropower erosion processes. A three end‐member model based on δ¹³C and Λ8 was performed. The results indicated that soil contributed approximately 50% of OM to the POM, which is the dominant OM source in most stations. POM composition was affected by total suspended matter (TSM) and grain size composition, and the direct OM input from two lakes and channel erosion induced OM. The lower TSM concentration in January 2008 was mainly caused by seasonal variations; the impact from the TGD in the dry season was relatively small. A box model indicated that more than 90% of the terrestrial OM transported by the Changjiang in January 2008 was from the middle and lower drainage basins. Channel erosion induced OM, and contributions from Poyang Lake were the major terrestrial OM sources in the dry season. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献