顿河固体径流和涌浪期间流入三角洲的悬浮物:统计模型和枯水期比较

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY
Nataliya Likhtanskaya, Sergey Berdnikov, Alexey Kleshchenkov
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引用次数: 0

摘要

根据在 Razdorskaya 村水文站获得的 2009-2020 年 12 年间的排水量和浊度测量数据,对顿河固体径流进行了统计建模。应用了 WRTDS(时间、排水量和季节加权回归)和 WRTDSKalman(卡尔曼滤波 WRTDS)方法。所开发的统计模型旨在解决定期收集排水量数据和悬浮物浓度数据之间的不平衡问题,方法是根据在时间、排水量和季节方面最 "相似 "的测量日的数据,"还原 "没有测量日的浓度值,但并不声称能够描述相关成分浓度与排水量之间的关系。对已开发统计模型的质量及其修改进行了检验。将悬浮物的日平均浓度和通量与经常出现强浪涌现象期间沉积的悬浮物估计量进行了比较。对海洋和河流因素对顿河三角洲悬浮物质的迁移和沉积作用进行了比较评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solid runoff of the Don River and suspended matter flow into the delta during surges: statistical modeling and comparison in the low water period
Statistical modeling of the Don River solid runoff based on water discharge and turbidity measurements obtained at the hydrological station in the village of Razdorskaya for the twelve-year period 2009–2020 was carried out. The WRTDS (Weighted Regressions on Time, Discharge, and Season) and WRTDSKalman (WRTDS with Kalman filtering) methods were applied. The developed statistical model is aimed at solving the problem of the imbalance between the regularity of collecting data on water discharge and data on the concentration of suspended matter by “restoring” the concentration values on days without measurements based on data on the most “similar” days with measurements in terms of time, discharge and season and does not claim to describe a relationship between the concentration of the constituent of interest and discharge. The quality of the developed statistical model and its modification were checked. The average daily concentrations and fluxes of suspended matter were compared with estimates of the volumes of suspended material deposited during periods of recurring strong surge phenomena. A comparative assessment of sea and river factors contributions to the transport and sedimentation of suspended matter in the Don River delta was fulfilled.
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来源期刊
Russian Journal of Earth Sciences
Russian Journal of Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.90
自引率
15.40%
发文量
41
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