Runoff-generated debris flows: Observation of initiation conditions and erosion–deposition dynamics along the channel at Cancia (eastern Italian Alps)     

Alessandro Simoni  Martino Bernard  Matteo Berti  Mauro Boreggio  Stefano Lanzoni  Laura Maria Stancanelli  Carlo Gregoretti 《地球表面变化过程与地形》2020,45(14):3556-3571

In the Dolomitic region, abundant coarse hillslope sediment is commonly found at the toe of rocky cliffs. Ephemeral channels originate where lower permeability bedrock surfaces concentrate surface runoff. Debris flows initiate along such channels following intense rainfall and determine the progressive erosion and deepening of the channels. Sediment recharge mechanisms include rock fall, dry ravel processes and channel-bank failures. Here we document debris flow activity that took place in an active debris flow basin during the year 2015. The Cancia basin is located on the southwestern slope of Mount Antelao (3264 m a.s.l.) in the dolomitic region of the eastern Italian Alps. The 2.5 km² basin is incised in dolomitic limestone rocks. The data consist of repeated topographic surveys, distributed rainfall measurements, time-lapse (2 s) videos of two events and pore pressure measurements in the channel bed. During July and August 2015, two debris flow events occurred, following similarly intense rainstorms. We compared rainfall data to existing rainfall triggering thresholds and simulated the hydrological response of the headwater catchment with a distributed model in order to estimate the total and peak water discharge. Our data clearly illustrate how debris entrainment along the channel is the main contributor to the overall mobilized volume and that erosion is dominant when the channel slope exceeds 16°. Further downstream, sediment accumulation and depletion occurred alternately for the two successive events, indicating that sediment availability along the channel also influences the flow behaviour along the prevailing-transport reach. The comparison between monitoring data, topographical analysis and hydrological simulation allows the estimation of the average solid concentration of the two events and suggests that debris availability has a significant influence on the debris flow volume. © 2020 John Wiley & Sons, Ltd.  相似文献   

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   

鄱阳湖湿地典型中生植物水分利用来源的同位素示踪   总被引：1，自引：0，他引：1  

许秀丽  李云良  谭志强  郭强 《湖泊科学》2020,32(6):1749-1760

水分是维持植物生长、决定种群分布的关键因子,研究植物水分利用来源是揭示水文过程与植被演替作用机制的基础,作为中国最大的淡水湖泊系统,鄱阳湖水文情势的显著改变已直接影响到湿地生态系统的水分补给来源.本文通过测定降水、土壤水、地下水、湖水和植物茎水中δ¹⁸O、δD同位素组成,识别鄱阳湖湿地典型中生植被——茵陈蒿（Artemisia capillaris）群落的土壤水分补给来源,并应用直接对比法和IsoSource多源混合模型估算优势种茵陈蒿的主要吸水区间及水源利用比例.结果发现：（1）与降水同位素相比,湖水和湿地土壤水同位素较为富集,地下水同位素较少发生分馏;（2）湿地地下水主要受历史长期降水和湖水共同补给,土壤水在雨季4—6月和秋季9—10月主要受降水补给,夏季7—8月深层土壤水受湖水侧向入渗和地下水的共同补给,并在蒸发作用下水分向浅层土壤传输;（3）茵陈蒿主要利用0~80 cm深度的土壤水,且能够在不同土层水源间灵活转换.当土壤含水量较高时（4—5月）,主要利用0~40 cm浅层土壤水,利用率约49%~68%;当浅层土壤含水量较低时（6—8月）,主要利用40~80 cm深层土壤水,利用率高达74%~95%;当植物进入生长后期（9—10月）,主要利用0~15 cm表层土壤水,利用率介于41%~70%.总体发现,湖水是鄱阳湖湿地中生植物群落土壤水分的重要补给来源,优势种茵陈蒿能够响应土壤含水量的变化改变吸水深度,具有较强的干旱适应能力.研究结果可为鄱阳湖湿地植被生态系统演变和科学保护提供理论参考.  相似文献   

基于修正SWAT模型的岩溶地区非点源污染模拟初探——以横港河流域为例   总被引：3，自引：0，他引：3  

赖格英  易姝琨  刘维  盛盈盈  彭小娟  熊家庆  潘思怡  吴青 《湖泊科学》2018,30(6):1560-1575

岩溶流域含水系统的主要特征之一是连通地表的落水洞等垂直管道将近水平的地下暗河联系起来,降水及其形成的地表径流可以通过这些管道迅速地灌入地下河系,从而改变了水及其所携带的非点源污染物质在垂直与水平方向的传输速度与数量,使岩溶流域内地表-地下之间的物质交换与传输过程变得比较复杂;应用广泛的SWAT模型在模拟岩溶地区的水文、水质时会存在一些不足与局限.为此,本文针对岩溶水系统特征,引入落水洞、伏流、暗河的水文过程以及主要营养盐的输移过程,修正SWAT模型原有的水文循环过程及相关算法,改变其只适用于松散均匀介质流域非点源污染模拟的单一特征,并研究建立适合于岩溶流域的非点源污染模型和相应的模拟方法.选取横港河流域岩溶地区作为非点源污染的对象,应用修正后的模型通过控制性的模拟方法和敏感性性分析,定量评估落水洞、伏流、暗河等岩溶特征对氮、磷等主要非点源污染物质输移的影响及其带来的时空效应,并进一步探讨落水洞、伏流、暗河等对地表-地下水文与营养盐的交互作用及转换机理.结果表明,岩溶特征对流域的氮、磷负荷有增加作用,其中总磷的增加明显大于总氮的增加,总磷和总氮的增量分别为0.86%和2.12%;植被岩溶指数的增加会导致流域可溶性磷、有机磷的产出量增加,有机氮、地表产流中硝酸氮和沉积磷的产出量则居其次,落水洞改变了降雨的产流方式,增加了落水洞所在流域的有机磷和有机氮的产出,其增量变化在0~0.7和0~0.3 kg/hm²之间.  相似文献   

半干旱地区洪水模拟效果差异性分析及影响因子响应评估     

刘玉环  李致家  刘志雨  罗赟  霍文博 《湖泊科学》2022,34(2):652-663

中国北方半干旱地区的降水与下垫面条件具有明显的时空异质性,如何完整准确地描述该类区域的水文过程是当代水文学研究的难点之一.选择半干旱地区水文实验区域——绥德流域和曹坪流域,通过构建不同时空规律的降水场,并结合3种不同产流机制的水文模型,进行大型数值模拟实验,去探究时间、空间、产流机制等因素对半干旱地区洪水模拟的影响,为该类地区水文模型的研制工作提供借鉴.结果 表明:1)半干旱地区中小流域的产流对降雨强度较为敏感,因此降水输入的时间步长对洪水模拟效果的影响程度较大;相比之下,流域雨量站数量的增减,仅体现在降雨分布场的暴雨中心缺失以及面平均降雨量的微小差别,对洪水模拟效果的影响程度较小.2)水文模型能否准确描述主导水文过程是半干旱地区洪水模拟效果优良的关键,流域的尺度效应及其下垫面条件的空间异质性是半干旱地区不同水文模型研制和调整应当优先考虑的问题,无论时间步长、雨量站数量怎么组合,产流结构适宜的模型其模拟效果总是趋于较好的结果.  相似文献   

鄂尔多斯盆地白垩系主要含水岩组沉积岩相古地理对地下水水化学场形成和水质分布的影响   总被引：1，自引：0，他引：1       下载免费PDF全文

谢渊  邓国仕  刘建清  董维红  鲁洪江 《沉积与特提斯地质》2012,(3):64-74

通过典型水文钻孔和露头剖面沉积地质、水文地质调查、样品测试及综合研究表明,鄂尔多斯盆地白垩系含水层形成时,北部环河组、洛河组均广泛发育河流相沉积,而南部环河组湖泊相为主、洛河组沙漠沙丘相广泛分布的沉积古地理格局,这对含水岩石中长石、粘土矿物、方解石、石膏等重要矿物组成和易溶盐含量及其空间分布形成明显控制,也控制了含水层和隔水层空间分布,并显著影响了深层地下水循环交替条件的区域分布变化。在沉积-成岩环境条件下,影响地下水水化学场形成和水质分布变化的主要水-岩作用包括硫酸盐、碳酸盐及硅酸盐矿物的溶解溶滤和阳离子交换作用等水文地球化学作用。受含水层沉积岩相古地理、地下水循环及水岩作用等因素控制,环河组、洛河组地下水总体表现为盆地北区TDS低、淡水发育、以HCO3型为主,南区TDS高、微咸水和咸水发育、以HCO3.SO4型为主的分布规律,地下水水化学和水质分布在北区分布变化小、在南区上下含水层分布变化复杂。  相似文献   

Comparison of abstraction scenarios simulated by SWAT and SWAT-MODFLOW     

Eugenio Molina-Navarro  Ryan T. Bailey  Hans Estrup Andersen  Hans Thodsen  Anders Nielsen  Seonggyu Park 《水文科学杂志》2019,64(4):434-454

In hydrological modelling of catchments, wherein streams are groundwater-fed, an accurate representation of groundwater processes and their interaction with surface water is crucial. With this purpose, a coupled model was recently developed linking SWAT (Soil and Water Assessment Tool) with the fully-distributed groundwater model MODFLOW (Modular Groundwater Flow). In this study, SWAT and SWAT-MODFLOW were applied to a Danish groundwater-dominant catchment, simulating groundwater abstraction scenarios and assessing the benefits and drawbacks of SWAT-MODFLOW. Both models demonstrated good performance. However, SWAT-MODFLOW provided more realistic outputs when simulating abstraction: the decrease in streamflow was similar to the volume of water abstracted, while in SWAT the impact was negligible. SWAT also showed impacts on streamflow only when abstractions were taken from the shallow aquifer, not from the deep aquifer. Overall, SWAT-MODFLOW demonstrated wider possibilities for groundwater analysis, providing more insights than SWAT in supporting decision making in relation to environmental assessment.  相似文献   

Propagation of uncertainties in interpolated rainfields to runoff errors     

Yeboah Gyasi-Agyei 《水文科学杂志》2019,64(5):587-606

Conditional daily rainfields were generated using collocated raingauge radar data by a kriging interpolation method, and disaggregated into hourly rainfields using variants of the method of fragments. A geographic information system (GIS)-based distributed rainfall–runoff model was used to convert the hourly rainfields into hydrographs. Using the complete radar rainfall as input, the rainfall–runoff model was calibrated based on storm events taken from nested catchments. Performance statistics were estimated by comparing the observed and the complete radar rainfall simulated hydrographs. Degradation in the hydrograph performance statistics by the simulated hourly rainfields was used to identify runoff error propagation. Uncertainty in daily rainfall amounts alone caused higher errors in runoff (depth, peak, and time to peak) than those caused by uncertainties in the hourly proportions alone. However, the degradation, which reduced with runoff depth, caused by the combined uncertainties was not significantly different from that caused by the uncertainty of amounts alone.  相似文献   

Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network   总被引：1，自引：1，他引：0  

Arman Ahmadi  Dimitri P. Solomatine 《水文科学杂志》2019,64(9):1080-1094

Due to the complicated nature of environmental processes, consideration of uncertainty is an important part of environmental modelling. In this paper, a new variant of the machine learning-based method for residual estimation and parametric model uncertainty is presented. This method is based on the UNEEC-P (UNcertainty Estimation based on local Errors and Clustering – Parameter) method, but instead of multilayer perceptron uses a “fuzzified” version of the general regression neural network (GRNN). Two hydrological models are chosen and the proposed method is used to evaluate their parametric uncertainty. The approach can be classified as a hybrid uncertainty estimation method, and is compared to the group method of data handling (GMDH) and ordinary kriging with linear external drift (OKLED) methods. It is shown that, in terms of inherent complexity, measured by Akaike information criterion (AIC), the proposed fuzzy GRNN method has advantages over other techniques, while its accuracy is comparable. Statistical metrics on verification datasets demonstrate the capability and appropriate efficiency of the proposed method to estimate the uncertainty of environmental models.  相似文献   

Misinterpretation of the Kenessey method for the determination of the runoff coefficient: a review     

Lucio D’Alberto  Giorgia Lucianetti 《水文科学杂志》2019,64(3):288-296

The calculation of runoff and infiltration parameters is a fundamental task for water budget estimation and water resources management. The “Kenessey method” allows these values to be calculated and its use is widespread among water scientists and practitioners. Due to language barriers and inefficient translation in past decades, the method has undergone some misinterpretations and is now far from its original usefulness and purpose. The use of the modified method can give unreal results for specific climatic zones. The purpose of this paper is to point out these methodological variations and to return to the original approach, improving it with modern technology.  相似文献