Vulnerability of the Lakshadweep Coral Islands in India and Strategies for Mitigating Climate Change Impacts

2017 ◽  
pp. 64-96
Author(s):  
B. K. Khanna
Keyword(s):  
Climate Change ◽  
Action Plan ◽  
Climate Change Impacts ◽  
Change Strategies ◽  
Development Goals ◽  
Change Impact ◽  
Successes And Challenges ◽  
Lakshadweep Archipelago ◽  
Coral Islands

Strategies for mitigating climate change impact on the vulnerable Lakshadweep coral islands have been drawn up in accordance with the principles, guidelines and strategies laid down in the Indian National Action Plan on Climate Change (NAPCC). The region most vulnerable to inundation from accelerated sea level rise (at least 40 cm by 2100) is the Lakshadweep archipelago. The first section of the chapter reviews the origin and geophysical features, climate profile, sectoral impact of climate change and vulnerabilities of Lakshdweep. The second section deals with climate change strategies and their adaptation, recommending appropriate actions for coping strategies to be adopted by local communities to be resilient against the adverse impacts of climate change. The third section outlines the Lakshadweep Action Plan for Climate Change (LAPCC) and the fourth section describes integrating LAPCC within the NAPCC, successes and challenges ahead. For small islands it is a notable case study to emulate, mitigating the effects of climate change while not deviating from development goals.

Assessment of long-term structural reliability considering climate change effects

2021 ◽  
Author(s):  
Pietro Croce ◽  
Paolo Formichi ◽  
Filippo Landi
Keyword(s):  
Climate Change ◽  
Reliability Index ◽  
Structural Reliability ◽  
Climate Change Impacts ◽  
Climate Change Effects ◽  
Structural Resistance ◽  
Change Impact ◽  
Available Information

<p>The assessment of climate change impacts is becoming increasingly relevant for many sciences and engineering disciplines. In this context, climate change may significantly affect the design of new structures and infrastructures as well as the long-term reliability of existing ones designed under the assumption of stationary climate.</p><p>A methodology for the assessment of climate change impact on long-term structural reliability is presented, based on the analysis of available information on past and future climate. The procedure relies on the factor of change approach and provide tools for the adaptation of climatic load maps and the evaluation of variations of failure probability and reliability index with time.</p><p>The proposed procedure will be illustrated for a relevant case study considering changes in climatic actions and different degradation conditions of structural resistance, which may also be affected by global warming.</p>

scholarly journals Climate Change Impacts Assessment in Coastal Lagoons Using Available Modelling Tools

2018 ◽  
Author(s):  
Bruno Primo ◽  
Fernanda Achete ◽  
Sarith Mahanama ◽  
Marcus Thatcher ◽  
Mark Hemer ◽  
...  
Keyword(s):  
Climate Change ◽  
Coastal Lagoons ◽  
Climate Change Impacts ◽  
Phase Step ◽  
Climate Change Impact Assessment ◽  
Flushing Time ◽  
High Productivity ◽  
Change Impact ◽  
Lagoonal Water

Climate change such as sea level rise, change in temperature, precipitation, and storminess are expected to impact significantly coastal lagoons. The nature and magnitude of these impacts are uncertain. The objective of the research is to determine the climate change impacts on mixing and circulation at Songkhla lagoon, Thailand. Songkhla lagoon is the largest lagoonal water resource in Thailand and Southeast Asia. The lagoon is a combined freshwater and estuarine complex of high productivity which represents an extraordinary combination of environmental resources believed to be unique in the region. This work is part of a Climate Change impact assessment framework. It is the validation phase (step 5) of the framework applying a case study. Delft 3D was used to simulate CC scenarios in the climate downscaling models, part of the previous framework steps. These results were compared to the current conditions to determine the main changes in mixing and circulation in the coastal lagoon. Three indicators were applied to quantify the impacts: flushing time, salinity intrusion and stratification. The results suggest an increase in water velocities at the inlet in future scenarios and a decrease of flushing time. Salinity and stratification showed more complex changes in futures scenarios.

scholarly journals FROM CULTURAL PATH TO CULTURAL ROUTE: A VALUE-LED RISK MANAGEMENT METHOD FOR VIA IULIA AUGUSTA IN ALBENGA (ITALY)

2017 ◽  
Vol XLII-2/W5 ◽  
pp. 71-75 ◽  
Author(s):  
L. Van Meerbeek ◽  
L. Barazzetti ◽  
R. Valente
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Risk Management ◽  
Cultural Heritage ◽  
Research Work ◽  
Climate Change Impacts ◽  
A Value ◽  
Change Impact ◽  
Management Method

Today, the field of cultural heritage faces many challenges: cultural heritage is always at risk, the large amount of heritage information is often fragmented, climate change impacts cultural heritage and heritage recording can be time-consuming and often results in low accuracy. Four objectives, related to the challenges, were defined during this research work. It proposes a relevant value-led risk management method for cultural heritage, it identifies climate change impact on cultural heritage, it suggests a database lay-out for cultural heritage and demonstrates the potential of remote sensing tools for cultural heritage. The Via Iulia Augusta, a former Roman road in Albenga, was used as case study.

Regional biogeographical model of vegetation zones in doctoral programme Regional Biography in Olomouc (Case study for Norway spruce)

2020 ◽  
Author(s):  
Ivo Machar ◽  
Marián Halás ◽  
Zdeněk Opršal
Keyword(s):  
Climate Change ◽  
Regional Climate ◽  
Climate Change Impacts ◽  
Climate Data ◽  
Ecological Data ◽  
The Czech Republic ◽  
Climate Conditions ◽  
Vegetation Zones ◽  
Landscape Research

Regional climate changes impacts induce vegetation zones shift to higher altitudes in temperate landscape. This paper deals with applying of regional biogeography model of climate conditions for vegetation zones in Czechia to doctoral programme Regional Geography in Palacky University Olomouc. The model is based on general knowledge of landscape vegetation zonation. Climate data for model come from predicted validated climate database under RCP8.5 scenario since 2100. Ecological data are included in the Biogeography Register database (geobiocoenological data related to landscape for cadastral areas of the Czech Republic). Mathematical principles of modelling are based on set of software solutions with GIS. Students use the model in the frame of the course “Special Approaches to Landscape Research” not only for regional scenarios climate change impacts in landscape scale, but also for assessment of climate conditions for growing capability of agricultural crops or forest trees under climate change on regional level.

scholarly journals Will Climate Change Exacerbate the Economic Damage of Flood to Agricultural Production? A Case Study of Rice in Ha Tinh Province, Vietnam

2021 ◽  
Vol 9 ◽  
Author(s):  
Pham Quy Giang ◽  
Tran Trung Vy
Keyword(s):  
Climate Change ◽  
Extreme Precipitation ◽  
Agricultural Production ◽  
Climate Change Impacts ◽  
Economic Loss ◽  
Baseline Period ◽  
Rice Production ◽  
Generalized Extreme Value Distribution ◽  
Economic Damage

In developing countries in general and in Vietnam in particular, flood induced economic loss of agriculture is a serious concern since the livelihood of large populations depends on agricultural production. The objective of this study was to examine if climate change would exacerbate flood damage to agricultural production with a case study of rice production in Huong Son District of Ha Tinh Province, North-central Vietnam. The study applied a modeling approach for the prediction. Extreme precipitation and its return periods were calculated by the Generalized Extreme Value distribution method using historical daily observations and output of the MRI-CGCM3 climate model. The projected extreme precipitation data was then employed as an input of the Mike Flood model for flood modeling. Finally, an integrated approach employing flood depth and duration and crop calendar was used for the prediction of potential economic loss of rice production. Results of the study show that in comparison with the baseline period, an increase of 49.14% in the intensity of extreme precipitation was expected, while the frequency would increase 5 times by 2050s. As a result, the seriousness of floods would increase under climate change impacts as they would become more intensified, deeper and longer, and consequently the economic loss of rice production would increase significantly. While the level of peak flow was projected to rise nearly 1 m, leading the area of rice inundated to increase by 12.61%, the value of damage would rise by over 21% by 2050s compared to the baseline period. The findings of the present study are useful for long-term agricultural and infrastructural planning in order to tackle potential flooding threats to agricultural production under climate change impacts.

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