Spatial measurements of stream baseflow,a relevant method for aquifer characterization and permeability evaluation. Application to a hard‐rock aquifer,the Oman ophiolite

The structure, functioning and hydrodynamic properties of aquifers can be determined from an analysis of the spatial variability of baseflow in the streams with which they are associated. Such analyses are based on simple low‐cost measurements. Through interpreting the hydrological profiles (Q = f(A)) it is possible to locate the aquifer(s) linked to the stream network and to determine the type of interrelated flow, i.e. whether the stream drains or feeds the aquifer. Using an analytical solution developed for situations with a positive linear relationship, i.e. where the baseflow increases linearly with increasing catchment size, it is also possible to estimate the permeability of the aquifer(s) concerned at catchment scale. Applied to the hard‐rock aquifers of the Oman ophiolite, this method shows that the ‘gabbro’ aquifer is more permeable than the ‘peridotite’ aquifer. As a consequence the streams drain the peridotites and ‘leak’ into the gabbro. The hydrological profiles within the peridotite are linear and positive, and indicate homogeneity in the hydrodynamic properties of these formations at the kilometre scale. The permeability of the peridotite is estimated at 5 · 10^?7 to 5 · 10^?8 m/s. Copyright © 2004 John Wiley & Sons, Ltd.     

Isotope hydrological study of mean transit time in the granitic Strengbach catchment (Vosges massif,France): application of the FlowPC model with modified input function

Measurements of ¹⁸O concentrations in precipitation, soil solution, spring and runoff are used to determine water transit time in the small granitic Strengbach catchment (0·8 km²; 883–1146 m above sea level) located in the Vosges Mountains of northeastern France. Water transit times were calculated by applying the exponential, exponential piston and dispersion models of the FlowPC program to isotopic input (rainfall) and output (spring and stream water) data sets during the period 1989–95. The input function of the model was modified compared with the former version of the model and estimated by a deterministic approach based on a simplified hydrological balance. The fit between observed and calculated output data showed marked improvements compared with results obtained using the initial version of the model. An exponential piston version of the model applied to spring water indicates a 38·5 month mean transit time, which suggests that the volume in the aquifer, expressed in water depth, is 2·4 m. A considerable thickness (>45 m) of fractured bedrock may be involved for such a volume of water to be stored in the aquifer. Copyright © 2005 John Wiley & Sons, Ltd.     

Use of multi‐platform,multi‐temporal remote‐sensing data for calibration of a distributed hydrological model: an application in the Arno basin,Italy

Images from satellite platforms are a valid aid in order to obtain distributed information about hydrological surface states and parameters needed in calibration and validation of the water balance and flood forecasting. Remotely sensed data are easily available on large areas and with a frequency compatible with land cover changes. In this paper, remotely sensed images from different types of sensor have been utilized as a support to the calibration of the distributed hydrological model MOBIDIC, currently used in the experimental system of flood forecasting of the Arno River Basin Authority. Six radar images from ERS‐2 synthetic aperture radar (SAR) sensors (three for summer 2002 and three for spring–summer 2003) have been utilized and a relationship between soil saturation indexes and backscatter coefficient from SAR images has been investigated. Analysis has been performed only on pixels with meagre or no vegetation cover, in order to legitimize the assumption that water content of the soil is the main variable that influences the backscatter coefficient. Such pixels have been obtained by considering vegetation indexes (NDVI) and land cover maps produced by optical sensors (Landsat‐ETM). In order to calibrate the soil moisture model based on information provided by SAR images, an optimization algorithm has been utilized to minimize the regression error between saturation indexes from model and SAR data and error between measured and modelled discharge flows. Utilizing this procedure, model parameters that rule soil moisture fluxes have been calibrated, obtaining not only a good match with remotely sensed data, but also an enhancement of model performance in flow prediction with respect to a previous calibration with river discharge data only. Copyright © 2006 John Wiley & Sons, Ltd.     

基于Brown-Forsythe检验的水文序列变异点识别

当前在水文序列变异点识别中常采用的几种统计方法都对数据有较多假设,当假设不满足时,识别结果通常并不理想。本文根据统计学方差分析的原理,建立了基于Brown-For-sythe检验的水文序列变异点识别方法,并采用该方法对新疆开都河大山口站近50年年平均径流序列进行了变异点识别。研究结果表明,该识别方法继承了Brown-Forsythe检验的优点,对数据不做过多假设,且易于进行多变异点识别,在一定程度上具有比当前所用统计方法更优越的性能。     

Arctic sea-ice motion and its relation to pressure field

Daily Arctic sea-ice motion maps during the winter seasons (December–March) from December 1988 to March 2003 derived from NSCAT, QuikSCAT, SSM/I, and AMSRE data by a wavelet analysis method have been merged with those derived from buoy data. These merged sea-ice motion data have been used to study the circulation regimes and winter-to-winter variability of Arctic sea-ice motion. The relation between sea-ice motion and the pressure field in the Arctic Ocean was also studied by applying Principal Component Analysis (PCA) to the monthly merged sea-ice motion data and the monthly pressure field data from IABP. The mean Arctic sea-ice motion map of the 15 winter seasons has two distinct features: the Beaufort Gyre and a cyclonic circulation system in the Eurasian Basin, which moves ice from the Laptev Sea to Fram Strait. The strengths and sizes of the two features change from one winter season to another. Seasons with a strong or normal Beaufort Gyre alternate with seasons with a weak or no Beaufort Gyre every one to three seasons. The principal components of the first two modes of PCA of the monthly sea-ice motion are closely correlated with their counterparts of the monthly pressure field in the Arctic Ocean. The mode-one components of these two anomalies alternate between anticyclonic and cyclonic circulation systems. The correlation between Arctic Oscillation indexes and the principal components of the first mode of PCA of the monthly Arctic sea-ice motion is low but statistically significant.     

台风“巴蓬”对南海上层海洋水文特征与生态环境的影响

研究台风过境影响下海洋生态环境的变化是系统认识强天气过程下海洋响应问题的重要内容,对于防灾减灾、远洋运输等具有积极的意义。基于混合坐标海洋环流模式（Hybrid Coordinate Ocean Model, HYCOM）数据,结合Aqua卫星搭载的中分辨率成像光谱仪（MODIS）传感器数据,研究了慢速移动的台风“巴蓬”（1929号）过境对南海海表温度、叶绿素浓度以及水体垂向温盐结构和流场特征的影响。结果显示,台风“巴蓬”过境期间,波高由3 m增加至9 m,海表流速由0.3 m/s增加至0.7 m/s,台风周围最大流速甚至超过1.8 m/s;台风过境后,海表温度由原25.8 ℃下降至24.9 ℃。在台风影响下,水体垂向混合增加,混合层深度增加近15 m,从23 m到38 m。混合层内上部温度降低、盐度略微增加,下部温度升高、盐度降低;上层水体流速增加,方向偏转近90°,流速变化幅度由表及底逐渐减小。台风过境后3天内,由于温度降低、光照减弱,并且垂向混合增强补充的营养盐仍未被浮游植物充分利用,因此,叶绿素浓度并未快速升高,而是呈现短期内浓度微增的现象。     

长江中游江汉—洞庭盆地全新世以来水文环境演变与人类活动

本文基于长江中游江汉—洞庭盆地18个钻孔岩性、沉积特征及年代数据,结合研究区考古遗址点时空分布特征,恢复研究区全新世以来水文环境演变过程,并探讨了区域水文环境演变的成因机制及其与人类活动的关系。结果表明,受东海海面上升和泥沙淤积等因素影响,距今11.5—5.5 ka,长江中游地区河湖水位呈上升趋势,随着新石器文化的发展及稻作农业活动的增加,人类文化聚落自山前平原地带逐渐向盆地平原中部扩展;距今5.5—4.0 ka,长江中游河湖水位有所下降,新石器晚期的屈家岭—石家河文化迅速发展,聚落数量增多,平原腹地聚落比例增加;距今4.0 ka前后,河湖水位再次有所上升,洪泛过程加剧,可能是石家河文化快速衰落的主要原因。     

喜马拉雅山北坡卡鲁雄曲径流与气候变化

以冰川融水补给为主的喜马拉雅山北坡的卡鲁雄曲流域,近20年平均气温以0.34 ^oC/10a的趋势上升,高于西藏年均温0.26 ^oC/10a的增长率,更是明显高于全国和全球气温的增长率,且极端最高温都出现在20世纪90年代。后10年气温 (1994~2003年) 比前十年 (1983~1993年) 升高0.5 ^oC,径流量增加了26%;不同月份径流增加强度不同,10~2月增加了44%,7~9月增加了27%,3~6月增加了24%。径流对气候变化的响应最灵敏 (一年中有8个月的增加趋势通过了α = 0.05的显著性检验),尤其是秋冬季的径流 (增加趋势超过α = 0.01的显著性检验)。受冰川消融和季风影响,不同时期的径流有不同的影响因素,但存在共性,即气温对径流起着积极主导作用,而降水对径流的影响具有不确定性,即正负双面效应。     

流域生态水文模型研究进展

流域生态水文模型是全球变化下流域生态水文响应研究的重要工具,通过定量刻画植被与水文过程的相互作用及全球变化对流域生态水文过程演变的影响机制,为流域水资源管理和生态恢复提供科学支撑,是生态水文研究的前沿和热点.基于植被与水文过程相互作用规律,流域生态水文模型一方面要充分描述植被与水文过程相互作用和互为反馈机制,另一方面要...