Fluvial transport of suspended sediment and organic carbon during flood events in a large agricultural catchment in southwest France     

Chantha Oeurng  Sabine Sauvage  Alexandra Coynel  Eric Maneux  Henri Etcheber  José‐Miguel Sánchez‐Pérez 《水文研究》2011,25(15):2365-2378

Water draining from a large agricultural catchment of 1 110 km² in southwest France was sampled over an 18‐month period to determine the temporal variability in suspended sediment (SS) and dissolved (DOC) and particulate organic carbon (POC) transport during flood events, with quantification of fluxes and controlling factors, and to analyze the relationships between discharge and SS, DOC and POC. A total of 15 flood events were analyzed, providing extensive data on SS, POC and DOC during floods. There was high variability in SS, POC and DOC transport during different seasonal floods, with SS varying by event from 513 to 41 750 t; POC from 12 to 748 t and DOC from 9 to 218 t. Overall, 76 and 62% of total fluxes of POC and DOC occurred within 22% of the study period. POC and DOC export from the Save catchment amounted to 3090 t and 1240 t, equivalent to 1·8 t km^?2 y^?1 and 0·7 t km^?2 y^?1, respectively. Statistical analyses showed that total precipitation, flood discharge and total water yield were the major factors controlling SS, POC and DOC transport from the catchment. The relationships between SS, POC and DOC and discharge over temporal flood events resulted in different hysteresis patterns, which were used to deduce dissolved and particulate origins. In both clockwise and anticlockwise hysteresis, POC mainly followed the same patterns as discharge and SS. The DOC‐discharge relationship was mainly characterized by alternating clockwise and anticlockwise hysteresis due to dilution effects of water originating from different sources in the whole catchment. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   

Confidence interval of real‐time forecast stages provided by the STAFOM‐RCM model: the case study of the Tiber River (Italy)          下载免费PDF全文

Silvia Barbetta  Tommaso Moramarco  Luca Brocca  Marco Franchini  Florisa Melone 《水文研究》2014,28(3):729-743

This study proposes a statistically based procedure to quantify the confidence interval (CI) to be associated to the stages forecast by a simple model called STAge FOrecasting Model‐Rating Curve Model (STAFOM‐RCM). This model can be used for single river reaches characterized by different intermediate drainage areas and mean wave travel times when real‐time stage records, cross section surveys and rating curves are available at both ends. The model requires, at each time of forecast, an estimate of the lateral contribution q_for between the two sections delimiting the reach. The CI of the stage is provided by analyzing the statistical properties of model output in terms of lateral flow, and it is derived from the CI of the lateral contribution q_for which, in turn, is set up by associating to each q_for the q_opt which allows STAFOM‐RCM to reproduce the exact observed stage. From an operative point of view, the q_for values are ranked in order of magnitude and subdivided in classes where the q_opt values can be represented through normal distributions of proper mean and variance from which an interval of selected confidence level for q_for is computed and transferred to the stage. Three river reaches of the Tiber river, in central Italy, are used as case study. A sensitivity analysis is also performed in order to identify the minimum calibration set of flood events. The CIs obtained are consistent with the level of confidence selected and have practical utility. An interesting aspect is that different CI widths can be produced for the same forecast stage since they depend on the estimate of q_for made at the time of forecast. Overall, the proposed procedure for CI estimate is simple and can be conveniently adapted for other forecasting models provided that they have physically based parameters which need to be updated during the forecast. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

Identification of changes in floods and flood regimes in Canada using a peaks over threshold approach          下载免费PDF全文

Donald H. Burn  Paul H. Whitfield  Mohammed Sharif 《水文研究》2016,30(18):3303-3314

Recent flood events in Canada have led to speculation that changes in flood behaviour are occurring; these changes have often been attributed to climate change. This paper examines flood data for a collection of 132 gauging stations in Canada. All of these watersheds are part of the Canadian Reference Hydrometric Basin Network (RHBN), a group of gauging stations specifically assembled to assist in the identification of the impacts of climate change. The RHBN stations are considered to have good quality data and were screened to avoid the influences of regulation, diversions, or land use change. Daily flow data for each watershed are used to derive a peaks over threshold (POT) dataset. Several measures of flood behaviour are examined based on the POT data, which afford a more in‐depth analysis of flood behaviour than can be obtained using annual maxima data. Analysis is conducted for four time periods ranging from 50 to 80 years in duration; the latter period results in a much smaller number of watersheds that have data for the period. The changes in flood responses of the watersheds are summarized by grouping the watersheds by size (small, medium, and large) and also by hydrologic regime (nival, mixed, and pluvial). The results provide important insights into the nature of the changes that are occurring in flood regimes of Canadian rivers, which include more flood exceedances, reduced maximum flood exceedance magnitudes for snowmelt events, and earlier flood events. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

Solute dynamics across the stream‐to‐riparian continuum under different flood waves     

Dongsheng Liu  Jian Zhao  Woo‐Hyun Jeon  Jin‐Yong Lee 《水文研究》2019,33(20):2627-2641

To enhance the understanding of solute dynamics within the stream‐to‐riparian continuum during flood event‐driven water fluctuation (i.e., flood wave), a variable saturated groundwater flow and solute transport model were developed and calibrated against in situ measurements of the Inbuk stream, Korea, where seasonal flooding prevails. The solute dynamics were further investigated for flood waves (varying by amplitude [A], duration [T], roundness [r], and skewness [t_p]) that were parameterised by real‐time stream stage fluctuations. We found that the solute transferred faster and farther in the riparian zone, especially within the phreatic zone, above which in the variable saturated zone the concentration required a significantly longer time, particularly at higher altitudes, to return to the initial state. By comparison, solute transferred shallowly in the streambed where the solute plume exhibited an exponential growth trend from the centre to the bank. The dynamic changes of solute flux and mass along the stream–aquifer interface and stream concentration were linked to the shape of flood wave. As the flood wave became higher (A↗), wider (T↗), rounder (r↘), and less skewed (t_p↗), the maximum solute storage in aquifer increased. Maximum stream concentration (C_str?max) not only presented a positive linear relationship with A or t_p but also showed a negative logarithmic trend with increasing T or r. The sensitivity of C_{str_max} to A was approximately two times that of t_p, and between these values, the r was slightly more sensitive than T. C_str?max linearly increased as hydraulic conductivity increased and logarithmically increased as longitudinal dispersivity increased. The former relationship was more sensitive than the latter.  相似文献   

Assessment of regional estimation error by canonical residual kriging     

M. Kamali Nezhad  T. B. M. J. Ouarda  K. Chokmani  M. Barbet  P. Bruneau  S. El. Adlouni 《水文研究》2011,25(9):1418-1430

Various regional flood frequency analysis procedures are used in hydrology to estimate hydrological variables at ungauged or partially gauged sites. Relatively few studies have been conducted to evaluate the accuracy of these procedures and estimate the error induced in regional flood frequency estimation models. The objective of this paper is to assess the overall error induced in the residual kriging (RK) regional flood frequency estimation model. The two main error sources in specific flood quantile estimation using RK are the error induced in the quantiles local estimation procedure and the error resulting from the regional quantile estimation process. Therefore, for an overall error assessment, the corresponding errors associated with these two steps must be quantified. Results show that the main source of error in RK is the error induced into the regional quantile estimation method. Results also indicate that the accuracy of the regional estimates increases with decreasing return periods. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

Latest Pleistocene and Holocene glacial events in the Colonia valley,Northern Patagonia Icefield,southern Chile          下载免费PDF全文

David A. Nimick  Daniel McGrath  Shannon A. Mahan  Beverly A. Friesen  Jonathan Leidich 《第四纪科学杂志》2016,31(6):551-564

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Distributed rainfall‐runoff modelling for flood frequency estimation and flood forecasting     

L. Brocca  F. Melone  T. Moramarco 《水文研究》2011,25(18):2801-2813

Nowadays, in the scientific literature many rainfall‐runoff (RR) models are available ranging from simpler ones, with a limited number of parameters, to highly complex ones, with many parameters. Therefore, the selection of the best structure and parameterisation for a model is not straightforward as it is dependent on a number of factors: climatic conditions, catchment characteristics, temporal and spatial resolution, model objectives, etc. In this study, the structure of a continuous semi‐distributed RR model, named MISDc (‘Modello Idrologico Semi‐Distribuito in continuo’) developed for flood simulation in the Upper Tiber River (central Italy) is presented. Most notably, the methodology employed to detect the more relevant processes involved in the modelling of high floods, and hence, to build the model structure and its parameters, is developed. For this purpose, an intense activity of monitoring soil moisture and runoff in experimental catchments was carried out allowing to derive a parsimonious and reliable continuous RR model operating at an hourly (or smaller) time scale. Specifically, in order to determine the catchment hydrological response, the important role of the antecedent wetness conditions is emphasized. The application of MISDc both for design flood estimation and for flood forecasting is reported here demonstrating its reliability and also its computational efficiency, another important factor in hydrological practice. As far as the flood forecasting applications are concerned, only the accuracy of the model in reproducing discharge hydrographs by assuming rainfall correctly known throughout the event is investigated indepth. In particular, the MISDc has been implemented in the framework of Civil Protection activities for the Upper Tiber River basin. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   

超像元尺度下的多光谱图像超分辨率洪水淹没制图     

王鹏  姚红雨  张弓 《遥感学报》2021,25(2):641-652

超分辨率制图SRM (Super-resolution Mapping)技术可以有效地处理遥感图像中的混合像元,获得准确的地物类别分布信息。目前,SRM技术已经成功地应用于多光谱图像洪水淹没定位中,称为超分辨率洪水淹没制图SRFIM (Super-resolution Flood Inundation Mapping)。然而,现有的SRFIM方法往往基于像元尺度空间相关性,这种空间相关性考虑设定的矩形窗内的像元之间的空间关系,但实际情况下淹没区域与非淹没区域的形状是不规则的,因此这种像元尺度空间相关性不够准确,影响最终的洪水淹没制图精度。为了解决这一问题,提出了超像元尺度空间相关性下的多光谱图像超分辨率洪水淹没制图SSSC-SRFIM (Super-resolution Flood Inundation Mapping for Multispectral Image Based on Super-pixel Scale Spatial Correlation)。在SSSC-SRFIM中,首先利用双立方插值改善原始粗糙多光谱图像,获得改善后的图像,并利用光谱解混方法对改善后的图像进行光谱解混,获得具有每个亚像元属于淹没类别概率值的丰度图像;然后利用主成分分析法提取改善后图像的第一主成分,并利用基于多分辨率的图像分割算法分割第一主成分,获得不规则形状的超像元;再者将丰度图像与超像元进行整合计算,并引入随机游走算法计算各个超像元之间的空间相关性;最后,依据超像元空间相关性,利用基于类别单元的类别方法将淹没区域或非淹没区域标签分配给每个亚像元中,得到最终的洪水淹没制图结果。利用两个Landsat 8 OLI多光谱图像对该方法进行了评价。结果表明,与传统的SRFIM方法相比,本文提出的SSSC-SRFIM方法具有更好的效果。  相似文献   

2013年黑龙江省主汛期降水异常特征及其对作物产量影响的分析   总被引：6，自引：1，他引：5  

姜丽霞  陈可心  刘丹  吕佳佳  王晾晾  宫丽娟  李帅 《气象》2015,41(1):105-112

利用黑龙江省77 个气象台站1961—2013年6—8月逐日降水资料,采用降水集中度和集中期、统计回归等方法,分析了2013年黑龙江省主汛期降水异常的气候统计和时空分布特征,与1998年数据进行了对比分析,并探讨评估了其对粮食作物产量的影响。结果表明: 黑龙江省2013年主汛期雨日多、大范围连续强降水密集且早发,降水异常偏多,降水量为近53 年的最高极值;空间分布上不存在明显的经向或纬度变化规律,降水高值区主要分布在松嫩平原,沿江流域站点平均降水量略少;时间变化上呈少—多—少的分布,强降水集中期为7月上旬,也是主汛期内降水最多时段。2013年主汛期降水与1998年在时空分布上存在差异,降水量、持续时间均超过1998年,尤其表现在黑龙江流域,但1998年降水的局地性和突发性较强。采用FY 3A/MERSI卫星数据持续跟踪监测作物被淹没面积,以WOFOST模型模拟受淹前的平均单产,依据淹没时间超过7 d时作物无有效产量进行估算,2013年黑龙江省13个行政区因流域性洪涝灾害导致水稻和玉米总损失产量合计达3.97×109 kg。  相似文献   

琼江两次洪水过程的水文气象分析     

翟丹华  张亚萍  邱鹏  黎中菊  邓承之  邹华 《气象》2015,41(1):59-67

对2012年7月3—5日和2013年6月30日至7月1日四川盆地东南部四川省和重庆市交界处的琼江流域两次洪水过程的水文气象条件进行了分析。利用数字高程模型DEM提取了琼江流域的河网分布和河道距离出口的分布,结合标准化时间距离方法客观地反映了降水（尤其是强降水）的时空分布情况。SWAN输出的组合反射率因子拼图表明两次琼江流域的强降水均由多段强降水雨带导致,对流系统多在右岸支流源头新生,移向与河流流向一致,在干流产生洪水的叠加效应。由于“6．30”过程中强回波几乎覆盖整个琼江流域长达约16 h,导致严重的洪水叠加效应,洪水漫过原有河道形成大面积滞洪区,洪水行至下游河段回归河槽时,加之河道收窄,造成下游水文站洪峰时间滞后。  相似文献