Quantifying the impacts of land cover change on catchment-scale urban flooding by classifying aerial images

Li, Jiada; Bortolot, Zachary J.

doi:10.1016/j.jclepro.2022.130992

Cited by 32 publications

(14 citation statements)

References 55 publications

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“…As a result, imperviousness of the land surface increased by 18% from 1971 to 2015. The trend will continue with additional redevelopment planned to accommodate future population growth expected by 2050 (Li and Bortolot, 2022). There is a growing need to retrofit the existing drainage infrastructure to manage the anticipated increases in runoff volume caused by changes in imperviousness and rainfall intensity.…”

Section: Study Drainage Catchment Overviewmentioning

confidence: 99%

Exploring Cost-effective Implementation of Real-time Control to Enhance Flooding Resilience against Future Rainfall and Land Cover Changes

Burian

Johnson

et al. 2023

Preprint

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Advances in sensing and controlling technology accelerate the application of real-time control (RTC) in stormwater management. RTC enables existing urban drainage systems (UDSs) to be retrofitted and autonomously controlled to adapt to increasing runoff volume and peak flow rates associated with extreme storm events. The goal of this research is to utilize RTC to promote resilient UDSs’ performance against the disturbances induced by climate and land cover changes. The present study investigates the performance and cost-effectiveness of RTC in enhancing flooding resilience. We developed an predictive RTC adaptation strategy at incremental control levels (0%, 33%, 67%, and 100%) using Python and the U.S. Environmental Protection Agency’s Storm Water Management Model (SWMM). A UDS located in Salt Lake City, Utah, USA, served as the case study. Results showed that the implementation of smart stormwater RTC enhances flooding resilience by up to 37% under future combined changes in rainfall intensity and land cover imperviousness. The partially controlled (67% and 33% control levels) UDS outperforms the fully controlled system (100% control level) when factoring in costs. RTC is a cost-effective adaptation strategy: one million USD investment enhances the resilience by up to 3.2% in a 30-year life cycle. These findings support establishing adaptation approaches to create a new generation of resilient and smart stormwater systems adaptive to uncertain rainfall and land cover conditions.

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Section: Study Drainage Catchment Overviewmentioning

confidence: 99%

Exploring Cost-effective Implementation of Real-time Control to Enhance Flooding Resilience against Future Rainfall and Land Cover Changes

Burian

Johnson

et al. 2023

Preprint

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“…The urban redeveloping projects accelerate urban landscape changes from less impervious to highly impervious surfaces. Currently, Surga House is expected to be redeveloped for commercial or mixed-residential/commercial districts, including middle-rise multi-family housing, high-rise apartment buildings, and middle-rise shopping stores (Li, 2020;Li and Bortolot, 2022). The urban redevelopment programs increase the percentage of impervious areas, which constitute relatively poorly draining surfaces (Web Soil Survey, 2018).…”

Section: The Study Areamentioning

confidence: 99%

“…Historical land cover aerial images from the U.S. Geological Survey's Earth Explorer and the Utah Geological Survey Aerial Imagery are collected and then classified by using the object-based analyst tool PCI Geomatica (Li and Bortolot, 2021). The classified images show the past 81-year changes in land imperviousness percentages, which are regressed by three functions, including linear, two-order polynomial, and logarithm functions.…”

Section: Urban Redevelopment and Future Imperviousnessmentioning

confidence: 99%

Assessing Impacts of Future Land Cover and Rainfall Change on Urban Flooding Using An Event-based Resilience Index

Burian²,

Strong³

2023

Preprint

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Assessing the resilience of urban drainage systems requires the consideration of future threats that will disrupt the system performance and trigger urban flooding failures. However, most existing resilience assessments of urban drainage systems rarely consider the uncertainties from future urban redevelopment and climate change, which leads to the underestimation of future disturbances toward system performance. This paper fills in the gap of assessing the combined and relative impacts of future impervious land cover and rainfall changes on flooding resilience in the context of a densely-infilled urban catchment severed by an urban drainage system in Salt Lake City, Utah, the USA. An event-based flooding resilience index is proposed to measure climatic and urbanized impacts on flooding resilience from system-level to junction-level, enabling engineers to harvests high-resolution infrastructure adaptation strategies at the vulnerable spots. Impact comparison shows that imperious urban surface induces more effects on the system performance curves by magnifying the maximum failure level, lengthening the recovery duration, and aggravating the flooding severity than future rainfall changes. A nonlinear logarithm resilience correlation is found, and this finding shows that flooding resilience is more sensitive to the land imperviousness change due to urban redevelopment than rainfall intensity change in the case study. This research work predicts the system response to the uncertainties induced by climate change and urban redevelopment, improving the understanding of impacts analysis and contributing to the advancement of resilient urban drainage systems in changing environments.

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“…In addition, urban drainage systems have historically been designed to mitigate specific floods that recur at regular intervals. However, increased the impervious cover of the land due to urban regeneration has increased the imperviousness of the surface, which causes human and financial losses with the increased peak discharge and flood levels (Li and Bortolot, 2022). In this study, Taleghan watershed was chosen as case study that is one of the most flood-prone watersheds in Iran.…”

Section: -Introductionmentioning

confidence: 99%

A Quick Technique of Flood Detection and Mapping Based on Land Cover/Land Use Changes (Case Study: The 2022 Flood Event of Taleghan City of Iran)

Gheysouri

Sigaroodi²,

Kalehhouei³

et al. 2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Flood as one of the most devastating natural disasters, causes significant tangible and intangible damages to watershed residents each year. When flood occurs, changes in land use (LU) and land cover (LC) relative to climate change and other edaphic factors have remarkable impacts on flood generation. Furthermore, application of complicated models with various inputs is costly and time-consuming. In this study, with the aim of determining the parameters affecting the recent floods in the Taleghan watershed, first, maps of the flooded areas and changes in LU and LC was extracted using' Sentinel 1 & 2 by coding the Google Earth Engine. In the extraction of LU, seasonal composites were used and the winter season was eliminated. Next, using the override command in the ARCGIS 10.8.1 software, the extracted maps were combined and evaluated. The results show that the use of urban and forest lands was limited to the lands next to the rivers and streams, which are the places where the floods pass, and this factor has increased exposure to flood. According to the composition of the maps in the Taleghan watershed, floods occurred in areas where there was no LC and the flooded areas we are located in the upper part of villages where natural LC was lost as a result of livestock grazing or human manipulation. It can be concluded that the use of simple models and basic maps can help experts identify flood zones.

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Quantifying the impacts of land cover change on catchment-scale urban flooding by classifying aerial images

Cited by 32 publications

References 55 publications

Exploring Cost-effective Implementation of Real-time Control to Enhance Flooding Resilience against Future Rainfall and Land Cover Changes

Exploring Cost-effective Implementation of Real-time Control to Enhance Flooding Resilience against Future Rainfall and Land Cover Changes

Assessing Impacts of Future Land Cover and Rainfall Change on Urban Flooding Using An Event-based Resilience Index

A Quick Technique of Flood Detection and Mapping Based on Land Cover/Land Use Changes (Case Study: The 2022 Flood Event of Taleghan City of Iran)

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