Integrating lysimeter drainage and eddy covariance flux measurements in a groundwater recharge model

Abstract

Field-scale water balance is difficult to characterize because controls exerted by soils and vegetation are mostly inferred from local-scale measurements with relatively small support volumes. Eddy covariance flux and lysimeters have been used to infer and evaluate field-scale water balances because they have larger footprint areas than local soil moisture measurements. This study quantifies heterogeneity of soil deep drainage (D) in four 12.5-m² repacked lysimeters, compares evapotranspiration from eddy covariance (ET_EC) and mass balance residuals of lysimeters (ETwb_Lys), and models D to estimate groundwater recharge. Variation in measured D was attributed to redirection of snowmelt infiltration and differences in lysimeter hydraulic properties caused by surface soil treatment. During the growing seasons of 2010, 2011 and 2012, ETwb_Lys (278, 289 and 269 mm, respectively) was in good agreement with ET_EC (298, 301 and 335 mm). Annual recharge estimated from modelled D was 486, 624 and 613 mm for three calendar years 2010, 2011 and 2012, respectively. In summary, lysimeter D and ET_EC can be integrated to estimate and model groundwater recharge.

Editor D. Koutsoyiannis     

Impacts of systematic precipitation bias on simulations of water and energy balances in Northwest America

At high latitudes and in mountainous areas, evaluation and validation of water and energy flux simu-lations are greatly affected by systematic precipitation errors. These errors mainly come from topographic effects and undercatch of precipitation gauges. In this study, the Land Dynamics （LAD） land surface model is used to investigate impacts of systematic precipitation bias from topography and wind-blowing on water and energy flux simulation in Northwest America. The results show that topographic and wind adjustment reduced bias of streamflow simulations when compared with observed streamflow at 14 basins. These systematic biases resulted in a -50%-100% bias for runoff simulations, a -20%-20% bias for evapotranspiration, and a -40%-40% bias for sensible heat flux, subject to different locations and adjustments, when compared with the control run. Uncertain gauge adjustment leads to a 25% uncertainty for precipitation, a 20% 100% uncertainty for runoff simulation, a less-than-10% uncertainty for evapotranspiration, and a less-than-20% uncertainty for sensible heat flux.     

Geochemistry and potential use of groundwater in the Rocca Busambra area (Sicily, Italy)

In the Rocca Busambra area (mid-west Sicily, Italy), from November 1999 to July 2002, 23 water points including wells and springs were sampled and studied for their chemical and isotopic compositions. Two rain gauges were also installed at different altitudes, and rainwater was collected monthly to determine the isotopic composition. The obtained results revealed the Rocca Busambra carbonate complex as being the main recharge area on account of its high permeability value. From a chemical view point, two main groups of water can be distinguished: calcium–magnesium–bicarbonate-type and calcium–magnesium–chloride–sulphate-type waters. The first group reflects the dissolution of the carbonate rocks; the second group probably originates from circulation within flyschoid sediments. Three water wells differ from the other samples due to their relatively high Na and K content, which probably is to be referred to a marked interaction with the “Calcareniti di Corleone” formation, which is rich in glauconite [(K, Na)(Fe³⁺, Al, Mg)₂(Si, Al)₄O₁₀(OH)₂]. In accordance with WHO guidelines for drinking water (2004), almost all the samples collected can be considered drinkable, with the exception of four of them, whose NO₃ ⁻, F⁻ and Na⁺ contents exceed the limits. On the contrary, the sampled groundwater studied is basically suitable for irrigation.     

泥水平衡盾构用海水泥浆的改性试验研究

由于海水中富集大量可溶性盐类及各种金属离子成分,利用海水配置的海水泥浆具有相对密度大、胶体率低、稳定性差、失水量高等特点,不能满足泥水平衡盾构施工要求。为实现对海水泥浆改性以达到利用海水泥浆维持开挖面稳定,降低穿江越海盾构施工成本,选用CMC(羧甲基纤维素钠)、纤维素PAC(聚阴离子纤维素)、聚丙烯酸铵等8种添加剂进行海水泥浆性质变化试验,优选出对海水泥浆改性明显的添加剂,并分析优选添加剂掺入量和时间对海水泥浆性质的影响规律。同时,基于优选的添加剂CMC,利用泥膜形成试验平台进行改性海水泥浆地层渗透试验。研究表明:不同添加剂对海水泥浆性质变化差异较大,增黏剂PAC、CMC对海水泥浆的改性效果稍好,24 h离析出现浑浊层、混合层、絮凝沉淀层。海水泥浆对地层渗透的滤水量大于改性海水泥浆,泥皮也稍厚,但呈稀疏状态。可以推测,添加剂中和部分海水成分,呈絮凝沉淀,多余添加剂表现出对淡水泥浆的增稠作用。     

离子色谱法测定夏县温泉水中阴离子含量

利用离子色谱法对水中常见的7种阴离子进行定性和定量的分析,在既定的条件下,分别建立校正曲线法(外标法)及单点校正法模板,并对温泉水样校正分析。结果显示,外标法测得离子数据较为平稳,相对偏差均小于5%,适用于观测温泉水中其含量的变化。     

利用微波辐射计AMSR-E反演陆地上空大气水汽的研究

目前的大气水汽算法只适用于晴空条件,但是全球大部分时间云层覆盖都处于40%～60%之间。因此,只适用于晴空条件下的大气水汽反演算法,是不能满足应用需求的。而微波具有一定的穿透能力这一特点,使得其在全天候大气水汽探测方面具有很大的发展潜力。本文发展了基于微波辐射计AMSR-E的数据反演大气水汽的算法,利用不同波段间地表发射率之间的线性关系,消去辐射计信号中的地表信息,而AMSR-E的23.8GHz对大气水汽比较敏感,因此用其反演大气水汽,反演的结果和MODIS以及实测的数据进行对比,算法优势明显。     

黑河干流拟建水利工程对下游生态环境的影响分析

依据典型年份实际调查资料和以往研究成果, 采用地下水均衡方法, 定量对比分析了黑河拟建水利工程对下游地区地下水资源变化趋势, 并利用Visual Modflow三维地下水非稳定流软件系统模型对下游盆地未来20 a(2008—2028年)地下水位及其生态环境变化趋势进行了预测.结果表明: 在拟建工程实施20 a后黑河下游地下水位总体上处于下降趋势, 但下降幅度呈逐年减少状态直至趋于新的动态平衡.金塔-鼎新盆地地下水位下降幅度最大的地段是黑河沿岸为0.51~0.87 m, 但由于人工农业绿洲补充, 故生态环境不会有大的改变.额济纳盆地地下水位下降幅度最大的地段是古日乃及外围, 分别为1.0 m以上和0.5~1.0 m, 将引起植被的衰亡和种群的更替变化; 大部分地段地下水位下降幅度介于0.0~0.50 m之间, 对现有的生态与环境影响不显著; 桃来三达-额济纳旗以北地下水位呈现上升趋势, 上升幅度为0.10~0.87 m, 东居延海一带上升幅度大于0.87 m, 这一地区植被长势趋于良好, 植被覆盖率会有所增加, 将形成围绕海子的天然绿洲.     

黄河三角洲地下水动态变化及其与地面沉降的关系

为了分析黄河三角洲地下水动态及其与地面沉降的关系, 利用多年地下水和地面沉降监测数据, 发现黄河三角洲广饶县和东营区的地下水动态变化剧烈且地面沉降严重, 含水层多处于超采状态, 浅、深层地下水降落漏斗先后出现.深层地下水降落漏斗中心水位下降速度达2~3m/a.近年来, 东营和广饶地面沉降漏斗中心沉降量和速率分别为155.1mm、28.2mm/a和356.0mm、64.7mm/a.借助GIS技术及数理统计法, 发现深层地下水降落漏斗与沉降漏斗空间耦合良好, 深层地下水位与地面高程呈线性正相关, 相关系数为0.92, 深层地下水过度开采已成为影响沉降的最根本因素.井灌区第三粘性压缩层成为地面沉降主要贡献层, 且深层地下水降落漏斗中心的地下水位已低于第三承压含水层临界水位, 沉降趋于严重.      

塔里木河中下游城镇化进程中水资源利用分析

 基于2000-2008年的统计数据,通过比较和定量分析塔里木河中下游巴音郭楞蒙古自治州（以下简称巴州）各县市城镇化水平与用水总量、用水效益、产业结构和用水结构的变化过程,建立城镇化水平与用水效益、用水总量之间的数学关系。结果表明：巴州各市县的用水效益都在不断提高,基本上是城镇化水平越高的地方其用水效益也高。城镇化水平与用水效益呈线性增长关系,巴州整体城镇化水平的提升对用水效益的增加有较大影响,城镇化水平提升一个百分点,用水效益增加2.62 元/m3。巴州的城镇化水平与用水总量之间对数增长关系不明显,水资源对城市化进程存在明显的约束作用。今后需要促进产业结构优化升级,提升水资源开发利用水平,提高用水效益,促进城镇化发展与水资源开发利用呈现出城市化水平高、用水总量低、用水效益高的高水平协调状态。     

The identifiability of parameters in a water quality model of the Biebrza River, Poland

The identifiability of model parameters of a steady state water quality model of the Biebrza River and the resulting variation in model results was examined by applying the Monte Carlo method which combines calibration, identifiability analysis, uncertainty analysis, and sensitivity analysis. The water quality model simulates the steady state concentration profiles of chloride, phosphate, ammonium, and nitrate as a function of distance along a river. The water quality model with the best combination of parameter values simulates the observed concentrations very well. However, the range of possible modelled concentrations obtained for other more or less equally eligible combinations of parameter values is rather wide. This range in model outcomes reflects possible errors in the model parameters. Discrepancies between the range in model outcomes and the validation data set are only caused by errors in model structure, or (measurement) errors in boundary conditions or input variables. In this sense the validation procedure is a test of model capability, where the effects of calibration errors are filtered out. It is concluded that, despite some slight deviations between model outcome and observations, the model is successful in simulating the spatial pattern of nutrient concentrations in the Biebrza River.