The impact of extreme weather and climate change on inland waterway transport

Schweighofer, Juha

doi:10.1007/s11069-012-0541-6

Cited by 39 publications

(14 citation statements)

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“…Conventional hydrological monitoring systems rely on the availability of dense networks of rain and stream gauging stations, which provide measures of rainfall and water height at any given time. This makes them important tools for flood forecasting and warning (Klemas 2015) or river traffic management (Schweighofer 2014). However, data from gauging stations are only point-based observations that cannot fully represent the spatial distribution of surface water.…”

Section: Introductionmentioning

confidence: 99%

Large-scale surface water change observed by Sentinel-2 during the 2018 drought in Germany

Wieland

Martinis

2020

International Journal of Remote Sensing

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Large scale surface water change observed by Sentinel-2 during the 2018 drought in GermanyMonitoring and understanding the spatio-temporal dynamics of hydrological droughts with seamless geographical coverage over large areas is essential for an assessment of impacts on water resources, industry, transport and human health. This became particularly relevant during the heat and drought of 2018 in Germany, which affected the country across various sectors and caused significant interruptions to ship traffic on rivers and lakes with negative impacts on tourism, transportation and supply chains. In this study, we provide a spatially and temporally consistent view on the 2018 hydrological drought in Germany as seen from Sentinel-2 satellite images. We extract water bodies with national coverage at different timestamps using an automated processing chain, which is based on a convolutional neural network and has originally been developed for near-real time flood monitoring. The method produces water segmentations with consistently high Overall Accuracy (≥0.95) and Kappa Coefficient (≥0.89), despite varying topography, land-use / land-cover and atmospheric conditions. Furthermore, we identify hotspots of change in water extent at national scale by comparing monthly water maps for 2018 with the respective maps of the previous year 2017. For the change hotspots we map change gradients and produce water extent time-series with mapping frequencies <5 days along a timeline of 12 months.

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Section: Introductionmentioning

confidence: 99%

Large-scale surface water change observed by Sentinel-2 during the 2018 drought in Germany

Wieland

Martinis

2020

International Journal of Remote Sensing

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“…The latter use detailed engineering-based models or ''engineering rules of thumbs'' (Larsen et al 2008, p.442) to estimate costs. One strand of literature investigates how water borne transport is affected by climate change (Beuthe et al 2014;Hawkes et al 2010;Schweighofer 2014) and use changes in river water depth to deduce changes in transport costs (which seem to be limited, however, depending on the analyzed region). Another strand of literature focuses on transport systems of urban areas, such as Arkell and Darch (2006), Kirshen et al (2008Kirshen et al ( , 2006, OCA (2005) or LCCP (2005, concluding that the costs of climate change can be substantial, if no (early) adaptation measures were put in place (see Hunt and Watkiss (2011) for a review on climate change impacts in cities).…”

Section: And Gabriel Bachnermentioning

confidence: 99%

Assessing the economy-wide effects of climate change adaptation options of land transport systems in Austria

Bachner

2016

Reg Environ Change

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Due to climate change, transport systems are expected to become increasingly stressed by extreme weather and gradual climatic changes, resulting in direct costs within the affected sectors as well as indirect costs from sectoral interlinkages. To reduce these costs, sectorspecific climate change adaptation measures are needed, raising the question of the net benefits of adaptation at a macroeconomic level. However, despite their importance such assessments of impacts and adaptation at the macrolevel are scarce and coarse in their implementation. This paper contributes to fill this research gap by analyzing specific adaptation measures for the road and rail sectors in Austria using a computable general equilibrium model. The findings are as follows: First, direct impact costs more than double due to macroeconomic linkages. Hence, the indirect costs are found to be larger than the direct costs. Second, when analyzing adaptation measures for the road and rail sectors, without capturing any indirect effects, benefit-cost ratios imply a clear benefit only for the rail sector. However, when indirect effects via sectoral interlinkages are also captured, adaptation measures in both sectors, road and rail, clearly pay off. Climate change-induced GDP and welfare losses are reduced by 55 and 34% and lead to positive employment effects. Third, even at rather low damage reduction potentials, adaptation leads to a net benefit at the macroeconomic level.

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“…The Yangtze River's navigable length is 2838 km, which consists entirely of high-grade waterways [7]. The navigable conditions of the Yangtze River were comparatively rough during the dry seasons, Extreme dry weather can reduce runoff and water level, causing limited ship carrying capacity and sailing time, and long-term low temperatures can cause icing on the waterways, triggering stoppages and infrastructure damage [8]. In the Yangtze valley, the heavy rainfall period from mid-June to mid-July, called "Meiyu" or "plum rain", occurs when the stationary front has arrived [9].…”

Section: Introductionmentioning

confidence: 99%

Extreme Weather Impacts on Inland Waterways Transport of Yangtze River

et al. 2019

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The impact of extreme weather events on the navigation environment in the inland waterways of the Yangtze River is an interdisciplinary hotspot in subjects of maritime traffic safety and maritime meteorology, and it is also a difficult point for the implementation of decision-making and management by maritime and meteorological departments in China. The objective of this study is to review the variation trends and distribution patterns in the periods of adverse and extreme weather events that are expected to impact on inland waterways transport (IWT) on the Yangtze River. The frequency of severe weather events, together with the changes in their spatial extension and intensity, is analyzed based on the ERA-Interim datasets (1979–2017) and the GHCNDEX dataset (1979–2017), as well as the research progresses and important events (2004–2016) affecting the navigation environment. The impacts of extreme weather events on IWT accidents and phenomena of extreme weather (e.g., thunderstorms, lightning, hail, and tornadoes) that affect the navigation environment are also analyzed and discussed. The results show that: (1) the sections located in the plain climate zone is affected by extreme weather in every season, especially strong winds and heat waves; (2) the sections located in the hilly mountain climate zone is affected particularly by spring extreme phenomena, especially heat waves; (3) the sections located in the Sichuan Basin climate zone is dominated by the extreme weather phenomena in autumn, except cold waves; (4) the occurrence frequency of potential flood risk events is relatively high under rainstorm conditions and wind gusts almost affect the navigation environment of the Jiangsu and Shanghai sections in every year; (5) the heat wave indices (TXx, TR, and WSDI) tend to increase and the temperature of the coldest day of the year gradually increases; (6) the high occurrences of IWT accidents need to be emphasized by relevant departments, caused by extreme weather during the dry season; and (7) the trends and the degree of attention of extreme weather events affecting IWT are ranked as: heat wave > heavy rainfall > wind gust > cold spell > storm. Understanding the seasonal and annual frequency of occurrence of extreme weather events has reference significance for regional management of the Yangtze River.

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The impact of extreme weather and climate change on inland waterway transport

Cited by 39 publications

References 1 publication

Large-scale surface water change observed by Sentinel-2 during the 2018 drought in Germany

Large-scale surface water change observed by Sentinel-2 during the 2018 drought in Germany

Assessing the economy-wide effects of climate change adaptation options of land transport systems in Austria

Extreme Weather Impacts on Inland Waterways Transport of Yangtze River

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