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.     

Nutrients and zooplankton composition and dynamics in relation to the hydrological pattern in a confined Mediterranean salt marsh (NE Iberian Peninsula)

The role of the hydrological regime in the nutrients and zooplankton composition and dynamics has been analysed in five lagoons of La Pletera salt marshes (NE Iberian Peninsula) during a complete hydrological cycle (2002–2003). Two of the lagoons have their origin in the old river mouths while the other three were recently created in the framework of a Life Restoration project. This fact has also allowed us to study the effect of the lagoon age on nutrient and zooplankton composition and dynamics. The salt marsh hydrology is determined by a prolonged period of confinement without water inputs, irregularly interrupted by sudden water inputs due to flooding events (sea storms or intense rainfalls). While the dynamics of oxidized nitrogen compounds in the lagoons depends on the water inputs variability within each hydrological cycle, the internal load of phosphorus, total nitrogen and organic matter is related more to the cumulative mechanisms during the confinement periods. Accumulation processes may be easily related to lagoon age, since old lagoons have higher content of nutrients and organic matter, suggesting that these lagoons progressively accumulate nutrients during the successive confinement events. This is the usual case for most Mediterranean salt marshes without an artificially manipulated water regime. The zooplankton community in La Pletera integrates the effects of both the hydrological regime and the lagoon age since the former determines the temporal pattern of the main zooplankton species and the latter explains differences in composition and structure between old and new lagoons.     

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。     

我国无资料地区地表径流计算技术发展与展望

径流计算是水利工程规划及地下水资源评价的基础。通过总结国内无资料地区径流计算的常规方法（水文比拟法、参数等值线图法、径流系数法等）,列举SCS模型、IHACRES模型以及新安江模型等应用于无资料地区径流计算的水文模型,对今后无资料地区径流计算技术进行了展望。提出应尽可能选用多种方法进行径流分析计算,最终选择合理计算方法,以保证计算成果精度。     

乌力吉木仁河三级区水资源变异及归因分析

随着气候变化和人类活动对水资源影响越来越显著,大量水文序列的统计规律不再满足一致性要求而出现了变异。水资源日益重要的社会地位,要求在对水文变异进行检测的同时,需进一步量化影响其变异的因素,但目前归因分析的研究仍以定性或半定量为主。由于降雨和径流是水循环中关键的水文要素,且分别可以反映气候变化和人类活动对水资源的影响,利用降雨-径流关系提出了定量研究水资源变异的归因分析方法。结合乌力吉木仁河三级区1956~2000的年径流和年降雨序列,在对其分别进行变异诊断的基础上,定量地分析了造成该区水文变异的原因。计算结果表明:气候变化对乌力吉木仁河三级区水资源变异的贡献率为24%,而人类活动影响的贡献率为76%,可见人类活动是造成该区水资源变异的主要因素。     

基于DEM的洪泛平原湿地数字水系提取研究

为了研究探索洪泛平原湿地区域基于DEM的地表水要素数字特征,采用ArcGIS9.0的Hydro Arc Tools模块,配合改进升值裂开算法编制的程序在三江平原洪河保护区1:1万比例尺的DEM基础上进行了数字水系提取研究,将研究区划分为6个数字集水区,提取出以沃绿兰河-浓江河为主的数字河网,以及大小82处泡沼和洼地。研究表明,在保持高精度DEM前提下,数字地表水系统可以通过基于DEM自动提取出来,但是存在河道偏移以及河网形态失真等问题,需要在进行数字提取前后进行多次修正。在DEM数字高程预处理过程中保持高程信息的水文特征不丢失,以及发展专业处理平坦区域和低洼地域的有效算法,将是进一步提高洪泛平原湿地区域数字水系提取效率和精度的关键。     

疏勒河流域极端水文事件对极端气候的响应

为了明确疏勒河流域极端水文事件对极端气候事件的响应关系,选取疏勒河流域内及其周边的托勒、敦煌、瓜州、玉门、酒泉、马鬃山等气象站点的气温、降水和蒸发的日值数据,昌马堡水文站的日径流数据,通过趋势分析、滑动平均、主成分分析等方法,分析疏勒河流域极端气候指数、极端水文事件的年际变化规律以及影响极端水文事件的因素,并明确该流域极端洪水年内分布特征。结果表明:疏勒河流域年际气温升高趋势明显,降水量呈波动变化,增加趋势不明显,而蒸发量呈下降的变化趋势。表征高温的极端气温指数呈显著上升趋势,表征低温的极端气温指数呈显著下降趋势,说明疏勒河流域气温增幅明显。极端降水指数呈显著的增加趋势。该流域极端洪水事件和频次呈上升趋势,而极端枯水事件和频次呈下降趋势。极端洪水事件主要受控于极端降水事件,特别是极端降水总量,极端高温事件对极端洪水总量的增加也有影响,而极端枯水事件主要受控于极端低温事件。此外,2000-2016年年最大洪峰流量出现的时间有由8月向7月转变的趋势。