scholarly journals Mapping Transboundary Climate Change Risk: the case study of the Trinational Metropolitan Area Upper Rhine Area

2021 ◽  
Author(s):  
Nils Riach ◽  
Nicolas Scholze ◽  
Rüdiger Glaser
Keyword(s):  
Climate Change ◽  
Spatial Patterns ◽  
Composite Index ◽  
Climate Scenario ◽  
Metropolitan Region ◽  
Data Sets ◽  
Climate Change Risk ◽  
Economic Dimension ◽  
Upper Rhine

Abstract. In this study we examine the spatial patterns of risk towards climate change and climatic extremes in the “Trinational Metropolitan Region Upper Rhine” (TMU). Following the concept of risk analysis, we identify the regional dimension of climatic stressors in relation to the socio-economic dimension. We present an indicator-based assessment, which operationalizes risk as a product of its subcomponents climatic stressors, spatial occurrence, sensitivity and impact.We map them individually and aggregate them into a composite index. We also address the specific challenges of the trinational situation, which has an impact on the availability, homogeneity and resolution of comparable data sets. We show that risk can be approximated and mapped despite the uncertainties and additionally we explore to what extent the subcomponents contribute to the overall index. The results show differentiated spatial patterns of risk with cross-border clusters i.e. transnational corridors. Risk is amplified depending on the driving climate scenario for 2021–2050, 2041–2070 and 2071–2100, and increases during the course of the century, especially in the transnational metropolitan corridors of the TMU. Further focus on transnational spatial planning and cooperation is needed in future adaption research and practice.

Climate change risk perceptions in nature-based tourism systems: a case study from western Maine.

2019 ◽  
pp. 73-81
Author(s):  
L. Horne ◽  
S. de Urioste-Stone ◽  
J. Daigle ◽  
C. Noblet ◽  
L. Rickard ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Perceptions ◽  
Climate Change Risk

scholarly journals Adaptation and Mitigation on Climate Change Through Collaboration Between Local Municipal and Community Participation in DKI Jakarta

2019 ◽  
Author(s):  
Francis Yolanda ◽  
Rita . ◽  
Citra . ◽  
Frieda Hariyani ◽  
Firdhan Aria Wijaya ◽  
...  
Keyword(s):  
Climate Change ◽  
Community Participation ◽  
Emission Reduction ◽  
Gas Emission ◽  
Climate Change Risk ◽  
Social Ecological ◽  
Wide Range ◽  
Adaptation And Mitigation ◽  
Social Level

An anthropogenic and natural cause has contributed significantly to the increases in temperature globally. A wide range of actions from institutional and social level can be done as the response to these changes. This study explores the ability of adaptation and mitigation in terms of governmental-social-ecological using lessons from the specific case study. As a metropolitan city, Jakarta is examined as one of the most vulnerable cities to climate change risk. By using observation approach through the interview, this case study focuses on climate village program which integrated the participation of people who reside in Jakarta and local government effort, as a domestic part in term of supporting green gas emission reduction.

scholarly journals Quantifying uncertainty in aggregated climate change risk assessments

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Luke J. Harrington ◽  
Carl-Friedrich Schleussner ◽  
Friederike E. L. Otto
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Extreme Heat ◽  
Climate Change Risk ◽  
Multiple Dimensions ◽  
Common Framework ◽  
High Level ◽  
Quantifying Uncertainty ◽  
Very High

AbstractHigh-level assessments of climate change impacts aggregate multiple perils into a common framework. This requires incorporating multiple dimensions of uncertainty. Here we propose a methodology to transparently assess these uncertainties within the ‘Reasons for Concern’ framework, using extreme heat as a case study. We quantitatively discriminate multiple dimensions of uncertainty, including future vulnerability and exposure to changing climate hazards. High risks from extreme heat materialise after 1.5–2 °C and very high risks between 2–3.5 °C of warming. Risks emerge earlier if global assessments were based on national risk thresholds, underscoring the need for stringent mitigation to limit future extreme heat risks.

scholarly journals Strategic decision making under climate change: a case study on Lake Maggiore water system

2014 ◽  
Vol 364 ◽  
pp. 532-537
Author(s):  
M. Micotti ◽  
R. Soncini Sessa ◽  
E. Weber
Keyword(s):  
Climate Change ◽  
Water Resource Management ◽  
Water System ◽  
Climate Scenario ◽  
Strategic Decision ◽  
Long Term Effects ◽  
Lake Maggiore ◽  
Planning Processes

Abstract. Water resources planning processes involve different kinds of decisions that are generally evaluated under a stationary climate scenario assumption. In general, the possible combinations of interventions are mutually compared as single alternatives. However, the ongoing climate change requires us to reconsider this approach. Indeed, what have to be compared are not individual alternatives, but families of alternatives, characterized by the same structural decisions, i.e. by actions that have long-term effects and entail irrevocable changes in the system. The rationale is that the structural actions, once they have been implemented, cannot be easily modified, while the management decisions can be adapted to the evolving conditions. This paper considers this methodological problem in a real case study, in which a strategic decision has to be taken: a new barrage was proposed to regulate Lake Maggiore outflow, but, alternatively, either the present barrage can be maintained with its present regulation norms or with a new one. The problem was dealt with by multi-criteria decision analysis involving many stakeholders and two decision-makers. An exhaustive set of indicators was defined in the participatory process, conducted under the integrated water resource management paradigm, and many efficient (in Pareto sense) regulation policies were identified. The paper explores different formulations of a global index to evaluate and compare the effectiveness of the classes of alternatives under both stationary and changing hydrological scenarios in order to assess their adaptability to the ongoing climate change.

scholarly journals Does threatened species listing status predict climate change risk? A case study with Australian Persoonia (Proteaceae) species

2021 ◽  
Vol 31 ◽  
pp. e01862
Author(s):  
Samantha E. Andres ◽  
Jeff R. Powell ◽  
Nathan C. Emery ◽  
Paul D. Rymer ◽  
Rachael V. Gallagher
Keyword(s):  
Climate Change ◽  
Threatened Species ◽  
Climate Change Risk ◽  
Predict Climate Change

scholarly journals Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0

2020 ◽  
Author(s):  
Peter Uhe ◽  
Daniel Mitchell ◽  
Paul D. Bates ◽  
Nans Addor ◽  
Jeff Neal ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
River Flow ◽  
Flood Hazard ◽  
Data Sets ◽  
Flood Inundation ◽  
River Flooding ◽  
Global Data Sets ◽  
Global Data

Abstract. There is an urgent need for the climate community to translate their meteorological drivers into relevant hazard estimates. This is especially important for the climate attribution and climate projection communities as we seek to understand how anthropogenic climate change has, and will, impact our society. This can be particularly challenging because there are often multiple specialized steps to model the hazard. Current climate change assessments of flood risk typically neglect key processes, and instead of explicitly modeling flood inundation, they commonly use precipitation or river flow as proxies for flood hazard. Here, we lay out a clear methodology for taking meteorological drivers, e.g., from observations or climate models, through to high-resolution (~ 90 m) river flooding (fluvial) hazards. The meteorological inputs (precipitation and air temperature) are transformed through a series of modeling steps to yield, in turn, surface runoff, river flow, and flood inundation. We explore uncertainties at different modeling steps. The flood inundation estimates can then be directly related to impacts felt at community and household levels to determine exposure and risks from flood events. The approach uses global data-sets and thus can be applied anywhere in the world, but we use the Brahmaputra river in Bangladesh as a case study in order to demonstrate the necessary steps in our hazard framework.

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