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- Ahlmér, Anna Klara, et al.
(författare)
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Soil moisture remote-sensing applications for identification of flood-prone areas along transport infrastructure
- 2018
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Ingår i: Environmental Earth Sciences. - : Springer. - 1866-6280 .- 1866-6299. ; 77:14
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Tidskriftsartikel (refereegranskat)abstract
- The expected increase in precipitation and temperature in Scandinavia, and especially short-time heavy precipitation, will increase the frequency of flooding. Urban areas are the most vulnerable, and specifically, the road infrastructure. The accumulation of large volumes of water and sediments on road-stream intersections gets severe consequences for the road drainage structures. This study integrates the spatial and temporal soil moisture properties into the research about flood prediction methods by a case study of two areas in Sweden, Vastra Gotaland and Varmland, which was affected by severe flooding in August 2014. Soil moisture data are derived from remote-sensing techniques, with a focus on the soil moisture-specific satellites ASCAT and SMOS. Furthermore, several physical catchments descriptors (PCDs) are analyzed and the result shows that larger slopes and drainage density, in general, mean a higher risk of flooding. The precipitation is the same; however, it can be concluded that more precipitation in most cases gives higher soil moisture values. The lack, or the dimensioning, of road drainage structures seems to have a large impact on the flood risk as more sediment and water can be accumulated at the road-stream intersection. The results show that the method implementing soil moisture satellite data is promising for improving the reliability of flooding.
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| 2. |
- Kalantari, Zahra, et al.
(författare)
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Flood probability quantification for road infrastructure : Data-driven spatial-statistical approach and case study applications
- 2017
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Ingår i: Science of the Total Environment. - : Elsevier BV. - 0048-9697 .- 1879-1026. ; 581, s. 386-398
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Tidskriftsartikel (refereegranskat)abstract
- Climate-driven increase in the frequency of extreme hydrological events is expected to impose greater strain on the built environment and major transport infrastructure, such as roads and railways. This study develops a data-driven spatial-statistical approach to quantifying and mapping the probability of flooding at critical road-stream intersection locations, where water flow and sediment transport may accumulate and cause serious road damage. The approach is based on novel integration of key watershed and road characteristics, including also measures of sediment connectivity. The approach is concretely applied to and quantified for two specific study case examples in southwest Sweden, with documented road flooding effects of recorded extreme rainfall. The novel contributions of this study in combining a sediment connectivity account with that of soil type, land use, spatial precipitation-runoff variability and road drainage in catchments, and in extending the connectivity measure use for different types of catchments, improve the accuracy of model results for road flood probability.
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| 3. |
- Rahmati, Omid, et al.
(författare)
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Towards quantification of soil conservation performance using sediment connectivity concept at hillslope scale : proposing a new framework for data-scarce regions
- 2023
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Ingår i: Journal of Soils and Sediments. - : Springer Science and Business Media LLC. - 1439-0108 .- 1614-7480. ; 23:5, s. 2298-2309
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Tidskriftsartikel (refereegranskat)abstract
- Purpose Although contour trenching is one of the widely used nature-based solutions for soil conservation around the world, its efficiency has not been quantitatively investigated. This study aimed to scrutinize the performance of the contour trenching program, a nature-based solution and common soil erosion prevention measure in hillslopes of a data-scarce region based on the sediment connectivity approach.Materials and methods Six different hillslopes (A–F) were selected in the Khamsan watershed in Iran, a representative area where contour trenching has been implemented. The sediment connectivity map of each hillslope was generated using the index of connectivity (IC) based on two real scenarios: with (scenario I) and without (scenario II) contour trenching. Two different field-based validation methods were applied on the base of (i) in situ measurements of the sediment depth in contour trenches and Pearson’s correlation analysis, and (ii) field index of connectivity (FIC). The validity of the sediment connectivity results was verified using both validation approaches. The sediment connectivity in two scenarios was compared and the impact of the contour trenching was analyzed. The performance of the contour trenching program was quantitatively determined for each hillslope.Results and discussion The results revealed that contour trenching significantly affected sediment routing and reduced the IC values of all selected hillslopes. The differences in IC value between the two scenarios (∆IC) for hillslopes A, B, C, D, E, and F were found to be 22.6%, 11.27%, 14.69%, 5.83%, 15%, and 7.27%, respectively. Therefore, the spatial pattern of sediment connectivity also differed significantly after implementing contour trenching. Furthermore, Pearson’s correlation coefficients revealed that the sediment connectivity and the sediment depth in contours in all hillslopes had a significant negative relationship, resulting in confirming the validity of the sediment connectivity results for all six hillslopes in the current study.Conclusion Contour trenching significantly reduced the sediment connectivity on all six hillslopes studied. Furthermore, in situ measurements of the sediment depth in contour trenches should be conducted to verify the simulation of sediment connectivity. The proposed methodology can be applied in other data-scarce regions to evaluate the performance of the contour trenching program.
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