Identification of factors influencing hydrologic model performance using a top-down approach in a large number of U.S. catchments     

Carolina Massmann 《水文研究》2020,34(1):4-20

Investigating the performance that can be achieved with different hydrological models across catchments with varying characteristics is a requirement for identifying an adequate model for any catchment, gauged or ungauged, just based on information about its climate and catchment properties. As parameter uncertainty increases with the number of model parameters, it is important not only to identify a model achieving good results but also to aim at the simplest model still able to provide acceptable results. The main objective of this study is to identify the climate and catchment properties determining the minimal required complexity of a hydrological model. As previous studies indicate that the required model complexity varies with the temporal scale, the study considers the performance at the daily, monthly, and annual timescales. In agreement with previous studies, the results show that catchments located in arid areas tend to be more difficult to model. They therefore require more complex models for achieving an acceptable performance. For determining which other factors influence model performance, an analysis was carried out for four catchment groups (snowy, arid, and eastern and western catchments). The results show that the baseflow and aridity indices are the most consistent predictors of model performance across catchment groups and timescales. Both properties are negatively correlated with model performance. Other relevant predictors are the fraction of snow in the annual precipitation (negative correlation with model performance), soil depth (negative correlation with model performance), and some other soil properties. It was observed that the sign of the correlation between the catchment characteristics and model performance varies between clusters in some cases, stressing the difficulties encountered in large sample analyses. Regarding the impact of the timescale, the study confirmed previous results indicating that more complex models are needed for shorter timescales.  相似文献   

Evaluating soil moisture estimation from ground-penetrating radar hyperbola fitting with respect to a systematic time-domain reflectometry data collection in a boreal podzolic agricultural field     

Chameera Illawathure  Gary Parkin  Sébastien Lambot  Lakshman Galagedara 《水文研究》2020,34(6):1428-1445

The upper 30 cm of the soil profile, which hosts the majority of the root biomass, can be considered as the shallow agricultural root zone of most temperate crops. The electromagnetic wave velocity in the soil obtained from reflection hyperbolas in ground-penetrating radar (GPR) data can be used to estimate soil moisture (SM). Finding shallow hyperbolas in a radargram and minimizing the subjective error associated with the hyperbola fitting are the main challenges in this approach. Nevertheless, we were motivated by the recent improvements of hyperbola fitting algorithms, which can reduce the subjective error and processing time. To overcome the difficulty of finding very shallow hyperbolas, we applied the hyperbola fitting method to reflections ranging from 27- to 50-cm depth using a 500-MHz centre-frequency GPR and compared the estimated moisture with vertically installed, 30-cm-long time-domain reflectometry (TDR) sensors. We also compared TDR and GPR sample areas in a 2-D plane using different GPR survey types and different hyperbola depths. SM measured with TDR and GPR were not significantly different according to Mann–Whitney's test. Our analyses showed that a root mean square error of 0.03 m³ m⁻³ was found between the two methods. In conclusion, the proposed method might be suitable to estimate SM with an acceptable accuracy within the root zone if the soil profile is fairly uniform within the application depth range.  相似文献   

四川雅安地区古冲积扇主量元素特征及其意义     

姜大伟  张世民 《第四纪研究》2020,(1):105-113

第四系是与人类生活关系密切的地层,山区地带的第四系主要由河流沉积物组成,这些沉积物的表面风化程度具有重要的环境意义。四川省雅安市地区发育了中更新统砾石层构成的古冲积扇名邛冲积扇和丹思冲积扇,现今废弃于岷江与青衣江之间,遭受了不同程度的侵蚀风化。对两个冲积扇不同位置采集样品,尝试利用主量元素分析冲积扇的风化程度。经过实验发现,主量元素分析可以很好地应用于第四系的测试,砾石间填充的基质砂能够合理反映沉积物经历的风化过程。实验结果表明,沉积物主量元素中长石矿物元素Ca、Na大量流失,而稳定矿物元素Si、Ti等偏高,说明冲积扇经历了长期的风化淋溶作用。A-CN-K图解体现出冲积扇经历了早期的斜长石风化,已经进入以钾长石和伊利石风化为标志的中期阶段。Pettijohn图解表明名邛冲积扇样品含有更多的石英砂岩,沉积物的成熟度较高。这些指标说明名邛冲积扇相比丹思冲积扇经历了更强的风化作用。结合冲积扇的年龄发现,风化速度随年龄的增长呈现减速的特征,体现了风化作用的阶段性.  相似文献   

Comparative Assessment of Sludge Pre‐Treatment Techniques to Enhance Sludge Dewaterability and Biogas Production          下载免费PDF全文

Didem Okutman Tas  Cigdem Yangin‐Gomec  Tugba Olmez‐Hanci  Osman A. Arikan  Deniz I. Cifci  Elif B. Gencsoy  Alpaslan Ekdal  Emine Ubay‐Cokgor 《洁净——土壤、空气、水》2018,46(1)

Effectiveness of ultrasonication, microwave technologies, and enzyme addition prior to anaerobic digestion is investigated using sludge samples taken from the secondary settling tank of a domestic wastewater treatment plant to improve methane production, enhance dewaterability characteristics of the sludge, and to reduce excess sludge. Microwave pre‐treatment (1500 W, 10 min at 175 °C) results in better extra digester performance (compared to the control reactor) in terms of methane production (25 m³ ton^?1 suspended solids (SS)) than ultrasound (no improvement) and enzyme pre‐treatment (11 m³ ton^?1 SS). While methane production is not improved as a result of ultrasonication pre‐treatment (15 000 kJ kg^?1 SS), a noticeable increase (19%) is observed in the case of microwave pre‐treatment. Higher compactibility values are obtained after ultrasonication and microwave application compared to the control (i.e., from 7.1 to 8.7 and 9.2%, respectively) before anaerobic digestion. Although ultrasonication and microwave application decrease the dewaterability of the raw sludge (capillary suction time (CST) from 827 to 1364 and 2290 s, respectively), similar dewaterability results are obtained at the end of the anaerobic digestion process for all pre‐treated sludge samples. An economic assessment of this study shows that pre‐treatment with microwave results in more than 10‐fold less net cost compared to the enzyme application.  相似文献   

Stable carbon isotope signatures of cellulose in macrophytes collected from three eutrophic lakes in China     

《Limnologica》2020

Aquatic plants are essential for maintaining the diversity and stability of a lake ecosystem. Stable carbon isotopes (δ¹³C) of macrophytes have been widely used as a powerful tool to study ecological processes and paleoenvironmental evolution in lakes. Varying results are obtained when using the δ¹³C of macrophytes to study the changes in the lake environment at different spatio-temporal scales. Thus, sample preparation and subsequent laboratory analyses are crucial for studying environmental changes using the isotopic signal retained in the macrophytes, and are essential for the interpretation of isotope-environment relationships. This study analyzed the δ¹³C of different tissue components of macrophytes in three lakes of the lower Yangtze River basin, and a correlation analysis was performed on aquatic environments influencing the δ¹³C values in the different tissue components of macrophytes. The test results showed the difference between the δ¹³C values of the whole sample and cellulose. Relative analyses indicated that the major factors contributing to the δ¹³C variability in macrophytes were pH and the concentration of dissolved inorganic carbon (DIC). The δ¹³C of α-cellulose (δ¹³C_AC) is more sensitive to environmental variables than that of the whole sample (δ¹³C_W) and holocellulose (δ¹³C_HC). The results of this study imply that extraction of α-cellulose is a prerequisite for research on the changes in lake environment using δ¹³C of macrophytes. This study aims to provide theoretical and data basis for further research on the environmental and ecological change using stable carbon isotopes of aquatic plants.  相似文献   

ROCKS & MINERALS DETERMINATION AND ANALYSIS     

《Abstract of Chinese Geological Literature》2014,(4)

正20142093Chen Daohua(Guangzhou Marine Geological Survey,Guangzhou 510075,China);Diao Shaobo The Latest Progress of Geological Marine Testing Technology in China(Rock and Mineral Analysis,ISSN0254-5357,CN11-2131/TD,32(6),2013,p.850-859,105refs.)Key words:chemical analysis,China  相似文献   

关键金属元素分析测试技术方法应用进展   总被引：7，自引：5，他引：2  

李超  王登红  屈文俊  孟会明  周利敏  樊兴涛  李欣尉  赵鸿  温宏利  孙鹏程 《岩矿测试》2020,39(5):658-669

以稀有、稀散、稀土、铂族元素为主体的战略性关键金属矿产资源,在新材料、新能源和信息技术等新兴产业中发挥着越来越关键的作用。随着我国关键矿产资源地质调查的不断深入,关键金属元素以其赋存基体复杂、不同矿物含量差异大、化学性质不稳定等特点对分析测试技术提出了新的挑战。本文根据化学组成不同,对关键金属元素主要赋存基体进行了分类,主要分为硅酸盐、碳酸盐、硫酸盐、钨酸盐、磷酸盐、氧化物、硫化物、卤化物等。对于不同的基体岩石矿物,通常采用酸溶法(硝酸-氢氟酸组合、王水)或碱熔法等传统溶样方法进行化学消解。评述了当前关键金属元素测试常用的电子探针、电感耦合等离子体质谱、电感耦合等离子体发射光谱、X射线荧光光谱等仪器的特点及应用,总结了关键金属元素分析过程中出现的样品难溶解、回收率不完全、测试过程氧化物和同质异位素干扰、样品和标准基体不一致等常见问题,并提出了相应的解决方案。微区原位分析凭借其高效率、低成本、高空间分辨率的优势,以及野外现场分析凭借其简单快速、贴近野外工作的特点是关键金属元素测试技术发展的主要趋势。  相似文献   

低压密闭消解-电感耦合等离子体发射光谱法测定地质样品中的硼     

杜宝华  盛迪波  罗志翔  王全 《岩矿测试》2020,39(5):690-698

采用酸溶-电感耦合等离子体发射光谱法(ICP-OES)测定地质样品中的全硼量,关键环节在于如何防止样品消解过程中硼元素的损失,降低测量过程中的基体干扰、光谱干扰和记忆效应。基于以上问题,本文采用氢氟酸-硝酸-高氯酸-磷酸在低压密闭溶样罐中消解样品,溶出的硼元素与少量磷酸充分络合,防止硼的挥发损失;以基体及主成分浓度与样品相类似的地质类固体标准物质绘制标准曲线做线性校准,有效匹配和降低样品的基体干扰;采用仪器自带的操作软件,观察分析谱线附近是否存在其他元素的干扰,来确定背景扣除最佳的位置及宽度,降低ICP-OES测量中的光谱干扰;以10%的王水作为进样系统的冲洗液,有效消减测量过程中的记忆效应。当稀释因子为200时,方法的检出限(3SD)为1.2μg/g,定量限(10SD)为4.0μg/g;用岩石、土壤及水系沉积物国家一级标准物质对精密度及准确度进行分析验证,11次测定相对标准偏差为1.8%～7.9%,相对误差为-3.6%～6.3%;以外检分析结果为参考,对硼含量在定量限以上的样品测定,相对误差为-9.3%～12.5%。  相似文献   

不同产地浒苔对幼刺参生长、消化和非特异性免疫的影响     

杨心愿  林承刚  宋肖跃  孙景春  杨红生 《海洋与湖沼》2018,49(5):1103-1108

为探究不同产地浒苔型饵料对幼刺参生长、消化和非特异性免疫的影响,本实验将青岛浒苔与宁波浒苔的干粉与海泥分别按一定质量比例混合,开展刺参饲喂实验,并与刺参天然饵料马尾藻进行对比。结果表明,青岛浒苔饵料和马尾藻饵料喂养的刺参的粗蛋白含量分别为14.31%±0.10%和15.43%±1.41%,显著高于宁波浒苔饵料(11.17%±0.63%),粗脂肪和灰分含量无显著差异;青岛浒苔组、宁波浒苔组和马尾藻组的增重率分别为22.65%±5.68%、3.03%±1.17%和20.47%±2.01%,特定生长率分别为(1.44±0.33)、(0.21±0.08)、(1.33±0.12)%/d,青岛浒苔组和马尾藻组刺参的增重率和特定生长率显著高于宁波浒苔组;青岛浒苔组、宁波浒苔组和马尾藻组刺参肠道淀粉酶、胃蛋白酶、胰蛋白酶和纤维素酶活力无显著差异;马尾藻组刺参体腔液碱性磷酸酶活力为(17.57±4.56)金氏单位/100mL,显著高于青岛浒苔组[(5.56±1.32)金氏单位/100mL]和宁波浒苔组[(2.83±0.75)金氏单位/100mL],超氧化物歧化酶和酸性磷酸酶活力无显著差异。由此可见,绿潮暴发时,通过打捞浒苔用以配制刺参饵料,既有助于缓解绿潮的生态灾害,又能够补充刺参饵料来源,具有广阔的生态效益和市场前景,但是其营养成分影响因素较为复杂,配制饵料时应充分考虑不同品种、采集时间和生长地点的差异,并通过一些前处理手段充分发挥浒苔的饵料价值。  相似文献   

Event-based classification for global study of river flood generating processes     

Lina Stein  Francesca Pianosi  Ross Woods 《水文研究》2020,34(7):1514-1529

Better understanding of which processes generate floods in a catchment can improve flood frequency analysis and potentially climate change impacts assessment. However, current flood classification methods are either not transferable across locations or do not provide event-based information. We therefore developed a location-independent, event-based flood classification methodology that is applicable in different climates and returns a classification of all flood events, including extreme ones. We use precipitation time series and very simply modelled soil moisture and snowmelt as inputs for a decision tree. A total of 113,635 events in 4155 catchments worldwide were classified into one of five hydro-climatological flood generating processes: short rain, long rain, excess rainfall, snowmelt and a combination of rain and snow. The new classification was tested for its robustness and evaluated with available information; these two tests are often lacking in current flood classification approaches. According to the evaluation, the classification is mostly successful and indicates excess rainfall as the most common dominant process. However, the dominant process is not very informative in most catchments, as there is a high at-site variability in flood generating processes. This is particularly relevant for the estimation of extreme floods which diverge from their usual flood generation pattern, especially in the United Kingdom, Northern France, Southeastern United States, and India.  相似文献