Seasonal connections between meteoric water and streamflow generation along a mountain headwater stream

In snowmelt-driven mountain watersheds, the hydrologic connectivity between meteoric waters and stream flow generation varies strongly with the season, reflecting variable connection to soil and groundwater storage within the watershed. This variable connectivity regulates how streamflow generation mechanisms transform the seasonal and elevational variation in oxygen and hydrogen isotopic composition (δ¹⁸O and δD) of meteoric precipitation. Thus, water isotopes in stream flow can signal immediate connectivity or more prolonged mixing, especially in high-relief mountainous catchments. We characterized δ¹⁸O and δD values in stream water along an elevational gradient in a mountain headwater catchment in southwestern Montana. Stream water isotopic compositions related most strongly to elevation between February and March, exhibiting higher δ¹⁸O and δD values with decreasing elevation. These elevational isotopic lapse rates likely reflect increased connection between stream flow and proximal snow-derived water sources heavily subject to elevational isotopic effects. These patterns disappeared during summer sampling, when consistently lower δ¹⁸O and δD values of stream water reflected contributions from snowmelt or colder rainfall, despite much higher δ¹⁸O and δD values expected in warmer seasonal rainfall. The consistently low isotopic values and absence of a trend with elevation during summer suggest lower connectivity between summer precipitation and stream flow generation as a consequence of drier soils and greater transpiration. As further evidence of intermittent seasonal connectivity between the stream and adjacent groundwaters, we observed a late-winter flush of nitrate into the stream at higher elevations, consistent with increased connection to accumulating mineralized nitrogen in riparian wetlands. This pattern was distinct from mid-summer patterns of nitrate loading at lower elevations that suggested heightened human recreational activity along the stream corridor. These observations provide insights linking stream flow generation and seasonal water storage in high elevation mountainous watersheds. Greater understanding of the connections between surface water, soil water and groundwater in these environments will help predict how the quality and quantity of mountain runoff will respond to changing climate and allow better informed water management decisions.     

氢化物发生及其在分析检测领域的应用

论述了氢化物发生的条件和普遍性及其在分析检测领域的应用,这些领域包括试样分解,分离富集,容量分析、比色分析、原子荧光光谱、原子吸收光谱、电感耦合等离子体原子发射光谱、电感耦合等离子体质谱等分析测试技术。     

微型氢化物发生装置在冷原子吸收分光光度法测汞中的应用

采用微型氢化物发生装置-冷原子吸收分光光度法测定了焊锡料及纽扣电池中的汞。在酸性介质中,用硼氢化钾将汞离子还原为汞原子,用载气将汞蒸气导入石英管,原子吸收分光光度计在波长253.7 nm处进行测定。选择了实验条件,对共存离子的干扰等进行了考察。方法的检出限为0.34 ng/mL,11次测定的相对标准偏差(RSD)小于6%,加标回收率为94.4%~104.7%。     

氢化物发生-原子荧光光谱法直接测定地球化学样品中痕量碲

采用硝酸-氢氟酸-高氯酸溶解样品,以Fe3+作减缓剂,不需分离富集,用氢化物发生-原子荧光光谱法直接测定地球化学样品中痕量碲。对测定介质、KBH4浓度、铁盐的作用等条件进行试验。方法检出限为0.0031μg/g,精密度(RSD,n=11)<6.10%。方法用于国家一级地球化学标准物质中痕量碲的测定,结果与标准值一致。     

无机盐类对天然矿物低温催化混合酯生烃反应的影响

脂肪酸酯是一类重要的生烃母质。选择了十四烷酸甲酯、十六烷酸甲酯和十八烷酸甲酯的混合酯为模型反应物,以方解石、白云石、伊利石、钙蒙脱石和黄铁矿为催化剂,分别考察了氯化钾、氯化镁、氯化钠、硫酸钠以及混合盐对天然矿物低温催化混合酯生烃反应的影响。结果表明,无机盐类对矿物催化下混合酯的生烃反应均有不同程度的影响,硫酸钠具有反催化作用,其它盐类具有正催化作用。且在各无机盐存在下,不同的矿物表现出不同的催化活性。     

含铀物质对有机质生烃的实验研究

采用密闭容器水热模拟实验方法,考察含铀物质对有机质热解生烃过程的影响。对热模拟实验产物分析发现,在暗色泥岩和煤岩样品中加入含铀物质后,气态烃和液态烃的生烃量都有比较明显的增加。其中煤岩的气态烃产量平均增加值为34%,而泥岩样品平均增加值也达到了30%以上。液态烃产率分析表明,含铀矿物也促进了泥岩和煤岩的液态烃产率。从泥岩氯仿沥青‘A’族组成分析表明,加入催化剂后泥岩的饱和烃和芳烃在高温阶段具有规律性的明显增大的趋势,反映出非烃和沥青质,甚至不溶有机质向相对稳定的饱和烃转化以及芳烃随演化程度增加的高聚合作用。综合以上分析,认为放射性铀对油气生成具有氧化催化作用。     

Numerical study of the motions and drift force of a floating OWC device

The motion and the drift force of a floating OWC (oscillating water column) wave energy device in regular waves are studied taking account of the oscillating surface-pressure due to the pressure drop across the duct of the air chamber. The potential problem inside the chamber is formulated by making use of the Green integral equation associated with the Rankine-type Green function while the outer problem with the Kelvin-type Green function. The added mass, wave damping and excitation coefficients as well as the motion and drift force of the OWC device are calculated for various values of parameter related to the pressure drop.     

Prediction of local scour around circular piles under waves using a novel artificial intelligence approach

Abstract

The scour phenomena around vertical piles in oceans and under waves may influence the structure stability. Therefore, accurately predicting the scour depth is an important task in the design of piles. Empirical approaches often do not provide the required accuracy compared with data mining methods for modeling such complex processes. The main objective of this study is to develop three data-driven methods, locally weighted linear regression (LWLR), support vector machine (SVR), and multivariate linear regression (MLR) to predict the scour depth around vertical piles due to waves in a sand bed. It is the first effort to develop the LWLR to predict scour depth around vertical piles. The models simulate the scour depth mainly based on Shields parameter, pile Reynolds number, grain Reynolds number, Keulegan–Carpenter number, and sediment number. 111 laboratory datasets, derived from several experimental studies, were used for the modeling. The results indicated that the LWLR provided highly accurate predictions of the scour depths around piles (R?=?0.939 and RMSE = 0.075). Overall, this study demonstrated that the LWLR can be used as a valuable tool to predict the wave-induced scour around piles.     

Internal generation of waves: Delta source function method and source term addition method

In this study, we investigate two internal wave generation methods in numerical modeling of time-dependent equations for water wave propagation, i.e., delta source function method and source term addition method, the latter of which has been called the line source method in literatures. We derive delta source functions for the Boussinesq-type equations and extended mild-slope equations. By applying the fractional step splitting method, we show that the delta source function method is equivalent to the source term addition method employing the energy velocity. This suggests that the energy velocity should be used rather than the phase velocity for the transport of incident wave energy in the source term addition method. Finally, the performance of the delta source function method is verified by accurately generating nonlinear cnoidal waves as well as linear waves for horizontally one-dimensional cases.     

Generation of random waves in time-dependent extended mild-slope equations using a source function method

We develop techniques of numerical wave generation in the time-dependent extended mild-slope equations of Suh et al. [1997. Time-dependent equations for wave propagation on rapidly varying topography. Coastal Engineering 32, 91–117] and Lee et al. [2003. Extended mild-slope equation for random waves. Coastal Engineering 48, 277–287] for random waves using a source function method. Numerical results for both regular and irregular waves in one and two horizontal dimensions show that the wave heights and the frequency spectra are properly reproduced. The waves that pass through the wave generation region do not cause any numerical disturbances, showing usefulness of the source function method in avoiding re-reflection problems at the offshore boundary.