广武新灌区春小麦土壤水分变化规律研究

通过对广武新灌区春小麦土壤水分的垂直变化、季节变化和时空变化的研究,将广武新灌区０～１００ｃｍ土层划分为活跃层、贮水层、阻隔层和无效水分层,为寻找新灌区节水途径奠定了基础。     

The role of anthropogenic activities in karst spring discharge volatility

The traditional hydrological time series methods tend to focus on the mean of whichever variable is analysed but neglect its time‐varying variance (i.e. assuming the variance remains constant). The variances of hydrological time series vary with time under anthropogenic influence. There is evidence that extensive well drilling and groundwater pumping can intercept groundwater run‐off and consequently induce spring discharge volatility or variance varying with time (i.e. heteroskedasticity). To investigate the time‐varying variance or heteroskedasticity of spring discharge, this paper presents a seasonal autoregressive integrated moving average with general autoregressive conditional heteroskedasticity (SARIMA‐GARCH) model, whose the SARIMA model is used to estimate the mean of hydrological time series, and the GARCH model estimates its time‐varying variance. The SARIMA‐GARCH model was then applied to the Xin'an Springs Basin, China, where extensive groundwater development has occurred since 1978 (e.g. the average annual groundwater pumping rates were less than 0.20 m³/s in the 1970s, reached 1.20 m³/s at the end of the 1980s, surpassed 2.0 m³/s in the 1990s and exceeded 3.0 m³/s by 2007). To identify whether human activities or natural stressors caused the heteroskedasticity of Xin'an Springs discharge, we segmented the spring discharge sequence into two periods: a predevelopment stage (i.e. 1956–1977) and a developed stage (i.e. 1978–2012), and set up the SARIMA‐GARCH model for the two stages, respectively. By comparing the models, we detected the role of human activities in spring discharge volatility. The results showed that human activities caused the heteroskedasticity of the Xin'an Spring discharge. The predicted Xin'an Springs discharge by the SARIMA‐GARCH model showed that the mean monthly spring discharge is predicted to continue to decline to 0.93 m³/s in 2013, 0.67 m³/s in 2014 and 0.73 m³/s in 2015. Copyright © 2014 John Wiley & Sons, Ltd.     

Macroalgae in a spring stream in Shanxi Province： composition and relation to physical and chemical variables

Fourteen stream segments were investigated throughout the Xin’an Spring in Shanxi Province, China in 2004. The variation ranges in stream size, current velocity, discharge, dissolved oxygen, and specific conductance were large. Twenty-two macroalgae species were found in the stream. Major divisions in terms of species numbers were Chlorophyta (59.1%), Cyanophyta (22.8%), Xanthophyta (9.1%), Rhodophyta (4.5%) and Charophyta (4.5%). The most widespread species, Cladophora rivularis (50.0%), also Oedogonium sp. (42.9%) and Spirogyra sp. (42.9%) were well represented throughout the stream, whereas another 10 species were found in only one sampling site. Total percentage cover varied from <1% to 90%. Red algae Batrachospermum acuatum and the charophytes Chara vulgaris have the highest percentage cover. Among the parameters analyzed, the stream width, specific conductance and dissolved oxygen were the ones that more closely related to the species number and percentage cover of macroalgal communities. The species number of each site was negatively correlated with dissolved oxygen content. The total percentage cover of the macroalgae was negatively correlated with the stream width and the specific conductance.     

Prediction of overland flow and seepage zones associated with the interaction of multiple infiltration devices (cascading infiltration devices)

Infiltration devices are traditionally evaluated as standalone entities that do not interact with each other. A model is outlined that will allow interactions between proposed infiltration devices to be predicted prior to a development commencing. The model allows prediction of seepage into downslope devices and the assessment of the locations where the combined ground‐water mound will reach the surface and result in overland flow. The volume of overland flow discharged by the seepage zone may exceed the overland and piped flow received by the infiltration devices. Copyright © 2007 John Wiley & Sons, Ltd.     

Does upward seepage of river water and storm water runoff determine water quality of urban drainage systems in lowland areas? A case study for the Rhine–Meuse delta

The water quality of urban drainage ditches in lowlands in the Rhine‐Meuse delta was analysed with principal component analysis (PCA) during a dry period and a rain storm, and related to the seepage of polluted river water and effective impervious area (EIA). This was done in order to test the hypothesis that seepage of river water and storm water runoff from impervious areas strongly determine the water quality of urban drainage systems along large lowland rivers. Our analysis revealed that upward seepage of groundwater originating from rivers Rhine and Meuse was positively correlated with nitrate, potassium, sodium and chloride and negatively correlated with alkalinity, calcium, magnesium and iron. EIA was correlated with very few environmental variables (i.e. phosphate, pH and iron in the dry period and iron during the rain storm). Nickel and zinc concentrations generally exceeded the maximum allowable concentrations (MAC), while lead and phosphorus concentrations were just above the nutrient standards and MAC in a few locations during the rain storm. To optimize water quality in urban water systems, attention should be paid to all sources of pollution and not only to EIA. The impact of local groundwater seepage originating from large rivers in lowlands on the chemistry of urban water systems is often underestimated and should be taken into account when assessing water quality and improving water quality status. Copyright © 2009 John Wiley & Sons, Ltd.     

春季水华对南黄海总溶解态无机砷生物地球化学行为的影响

利用氢化物发生-原子荧光光谱法(HG-AFS)对2007年3月30日至4月23日南黄海海域总溶解态无机砷(TDIAs,[TDIAs]=[As5+]+[As3+])的含量进行了测定,其中针对水华中心区域(BM1站)进行了25h的连续观测,以探讨春季水华对有毒类金属元素砷的生物地球化学行为的影响。结果表明,TDIAs的浓度范围为7.9~22.3nmol/L,平均值为(17.8±1.9)nmol/L。TDIAs在南黄海的分布主要表现为由近岸向外海逐渐升高的趋势,最大值出现在南部海域底层海水中。近岸海域表、底层TDIAs的含量相当,而中、南部海域由于存在明显的密度跃层,表、底层TDIAs的浓度具有显著性差异。2007年3月31日至4月1日研究区域西南部受到沙尘天气和降雨的影响,表层海水中TDIAs的含量显著升高。研究区域中、南部海域在观测期间暴发了典型的黄海春季水华,通过大面观测和对重点区域的连续观测可以发现,水华期间TDIAs的分布和磷酸盐类似,与Chl a呈现出较好的负相关关系(r=0.51,P0.05,n=39)。经初步计算,浮游植物水华对10m以上表层水体中TDIAs的清除量约为2.4nmol/L,占表层保有量的15%左右。通过箱式模型计算得出黄海TDIAs的停留时间约为(18.2±8.5)a,远远低于大洋。通过对该海域砷、磷摩尔比值的计算可以发现,南黄海砷、磷摩尔比值约为大洋中的20倍左右,这可能会引起浮游生物对砷酸盐的大量吸收和转化,从而带来潜在的生态危机,需要引起足够的重视。     

软土隧道盾构出洞灾害的渗流应力耦合分析

对盾构出洞口涌水涌砂灾害问题作了分析。利用Midas-GTS软件,建立了盾构出洞施工的有限元模型。考虑盾构出洞施工的渗流-应力耦合效应,研究了盾构工作井外加固土体前方高水位工况下,地下水绕加固土体下卧土层的渗流规律以及加固土体前方原状土的沉降规律。研究结果表明,在假定井外加固土体完全隔水情况下,洞门涌水涌砂灾害的发生与否受到土体加固长度、井外地下水等因素影响;土体加固长度的增加对工程安全有利,但成本较高;地下水位的降低能有效减小盾构出洞洞门涌水灾害的发生,需综合考虑工程安全性、经济性和工期等来确定合理的施工参数。     

甘肃省黑河干流中游地区泉水动态特征及预报

在简述区域水文地质条件的基础上,依据1986～2007年泉水流量系列观测资料,详细论述了区内下降泉、上升泉的年内和多年动态变化特征,对比分析了1967年、1984年、2006年测区各泉域泉水量和泉水总量的时空分布规律和变化特征。利用已有的潜水二维流水量数学模型,推递并建立了利用泉点周围节点水头(水位)预报泉水流量的数学模型,并对测区泉水总量未来15年的变化趋势进行了预报。结果表明,在现状节水灌溉条件下,由于出山径流量的增加和地下水开采量的减少,未来黑河干流中游地区的泉水资源基本处于稳定状态。     

黑龙江四平山金矿深部矿体预测

四平山热泉型金矿床成矿的地质条件和产出的大地构造背景优越,具有非常好的浅成低温热液矿床的成矿环境,其深部存在新矿体的可能性较大。本文对照该类矿床的成矿模式,结合区域地质特征及钻探和物探工程的揭露情况对矿区深部可能存在的矿体位置进行了预测,结果表明矿区148线ZK927孔和ZK914孔之间,有断层通过的电、磁异常套合部位,深度300～500m处可能有新矿体存在。