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首页> 外文期刊>Journal of Hydrology >Investigating the importance of recreational roads as a sediment source in a mountainous catchment using a fingerprinting procedure with different multivariate statistical techniques and a Bayesian un-mixing model
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Investigating the importance of recreational roads as a sediment source in a mountainous catchment using a fingerprinting procedure with different multivariate statistical techniques and a Bayesian un-mixing model

机译:使用具有不同多元统计技术和贝叶斯未混合模型的指纹手术,调查娱乐道路作为沉积物源的沉积物源

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摘要

Road construction associated with land development generally increases erosion and sediment yields. Construction of unpaved roads has the potential to alter hydro-sedimentological behavior and catchment sediment source dynamics and, to date, this has largely been investigated in forested environments. The objective of this study, therefore, was to assess the relative importance of unpaved recreational roads as a sediment source alongside hillslope surface soils and stream channel banks in a non-forested mountainous catchment in northern Tehran, Iran, using a fingerprinting procedure. Eleven geochemical tracers were measured on 27 samples collected to characterise the sediment sources and five suspended sediment samples collected at the study catchment outlet. The statistical analysis employed to select three different composite fingerprints for discriminating the sediment sources comprised: (1) the Kruskal-Wallis H test (KW-H), (2) a combination of KW-H and discriminant function analysis (DFA), and (3) a combination of KW-H and principal components & classification analysis (PCCA). A Bayesian un-mixing model was used to ascribe sediment source contributions using the three composite fingerprints. Using the KW-H composite signature, the respective relative contributions (with uncertainty ranges) from recreational roads, hillslope surface soils and channel banks were estimated as 64.5% (57.7-73.1), 1.1% (0.1-4.9), and 33.9% (24.9-41.0), compared to 55.3% (45.5-68.5), 1.9% (0.1-7.9) and 42.1% (27.8-52.4) using a composite signature selected using a combination of KW-H and DFA, or 82.0% (69.7-93.8), 8.2% (0.7-22.7) and 7.3% (0.7-21.0) using a fingerprint selected using KW-H and PCCA. The root mean square difference between the apportionment results using the fingerprints identified on the basis of the three different statistical approaches ranged from 5.5% to 25.7%, highlighting the sensitivity of source estimates to the tracers used. Regardless, the different composite signatures all suggested that unpaved recreational roads were the dominant source of the suspended sediment samples, underscoring the need for mitigation measures targeting these anthropogenic features of the catchment system, including closure to permit re-vegetation, surface ripping and/or mulching to improve infiltration or gravel re-surfacing to reduce exposure of bare surfaces to sediment mobilisation.
机译:与土地开发相关的道路建设一般会增加侵蚀和沉积物产量。未铺砌道路的建设有可能改变水沉积物行为和集水区沉积物源动力学,迄今为止,这主要在森林环境中进行了调查。因此,本研究的目的是评估未覆盖的娱乐道路作为沉积物来源的沉积物源,利用指纹识别程序,在伊朗北德黑兰北部的非森林山区集水区中的山坡表面土壤和流渠道银行。在收集的27个样品上测量11个地球化学示踪剂,以表征沉积物来源和在研究进出口上收集的五个悬浮沉积物样品。用于选择三种不同复合指纹的统计分析,用于区分沉积物来源:(1)Kruskal-Wallis H试验(KW-H),(2)kW-H和判别函数分析(DFA)的组合,以及(3)KW-H和主成分和分类分析(PCCA)的组合。贝叶斯未混合模型用于使用三个复合指纹剥夺沉积物源贡献。使用KW-H复合签名,估计来自娱乐道路,山坡表面土壤和渠道银行的相应相对贡献(具有不确定性范围)估计为64.5%(57.7-73.1),1.1%(0.1-4.9)和33.9%( 24.9-41.0),使用使用KW-H和DFA的组合选择的复合签名为55.3%(45.5-68.5),1.9%(0.1-7.9)和42.1%(27.8-52.4),或82.0%(69.7 -93.8),使用使用KW-H和PCCA选择的指纹8.2%(0.7-22.7)和7.3%(0.7-21.0)。使用基于三种不同统计方法的指纹的分配结果之间的均方均衡范围为5.5%至25.7%,突出显示源估计对所用示踪剂的敏感性。无论如何,不​​同的复合签名都建议未铺砌的休闲道路是悬浮沉积物样本的主导来源,强调了针对集水系统的这些人为特征的缓解措施的需要,包括封闭允许重新植被,表面撕裂和/或覆盖以改善渗透或砾石重新浮出来,以减少裸表面暴露于沉积物动员。

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