scholarly journals Climate Change, Its Impacts and Possible Measures in Slovakia

2021 ◽  
Vol 24 (s1) ◽  
pp. 90-96
Author(s):  
Milan Lapin
Keyword(s):  
Climate Change ◽  
Future Development ◽  
Climate Changes ◽  
Physical Models ◽  
Mitigation Measures ◽  
Climate Change Scenarios ◽  
The Future ◽  
Natural Climate ◽  
The Impact ◽  
Further Development

Abstract Total climate changes are a combination of climate changes due to human activities and climate changes of natural origin. Further development of climate change can be predicted, if we know the future development of GHG emission into the atmosphere and other human interventions with the world climate system. The future development in natural climate changes cannot be reliably predicted. It is very probable that climate change caused by humans will be much more significant than the natural climate changes, already from 2020. It is almost certain that the concentration of GHG in the Earth’s atmosphere will rise further for at least 100 years. The climate change scenarios can be prepared, according to the outputs of General Earth’s atmospheric circulation physical models (GCM). Adapting and mitigation measures projection to utilise or slow down the impact of the expected climate change are the next steps of the climate change issues solving.

Emerging climate changes and the risks to the operation of building assets in the UK

2016 ◽  
Vol 14 (1) ◽  
pp. 21-35 ◽  
Author(s):  
Abdullah Alzahrani ◽  
Halim Boussabaine ◽  
Ali Nasser Alzaed
Keyword(s):  
Climate Change ◽  
Climate Changes ◽  
Mitigation Strategies ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Content Type ◽  
Starting Point ◽  
Climate Change Risks ◽  
The Uk ◽  
The Impact

Purpose – The purpose of this paper is to report results from a survey on emerging climate changes and the risks to the operation of building assets in the UK. The property sector is facing major challenges as a result of projected climate change scenarios. Predictions concerning future climate change and the subsequent impact on building operations are still subject to a high degree of uncertainty. However, it is important that building stockholders consider a range of possible future risks that may influence the operation of their assets. Design/methodology/approach – The literature review and questionnaire are used to elicit and assess the likelihood of occurrence of climate change risks impacting building operations. The survey was carried out among building stockowners and professionals in the UK. Statistical methods were used to rank and compare the findings. Findings – The majority of the respondents strongly agreed that the list of risks that were elicited from the literature will have an impact on their building assets within a 0-5 years’ time horizon. It was found that the professionals were most concerned about higher energy prices and an increase in operation costs in general; they were least concerned about an electricity blackout. Research limitations/implications – This paper is limited to the UK, and regional variations are not explored. Nevertheless, the buildings’ operation risk study provides a starting point for further investigations into the emerging risks from climate change, and their impact on the operation of building stock. Future work could investigate direct mapping between climate risks and the financial value of properties. Originality/value – Findings of this paper can help professionals and building stockowners improve their understanding of climate change risks and the impact on their assets. This paper could also help these individuals to formulate appropriate adaptation and mitigation strategies.

scholarly journals Reservoir yield intercomparison of large dams in Jaguaribe Basin-CE in climate change scenarios

RBRH ◽  
2017 ◽  
Vol 22 (0) ◽  
Author(s):  
Renato de Oliveira Fernandes ◽  
Cleiton da Silva Silveira ◽  
Ticiana Marinho de Carvalho Studart ◽  
Francisco de Assis de Souza Filho
Keyword(s):  
Climate Change ◽  
Climate Changes ◽  
Climate Change Scenarios ◽  
Intergovernmental Panel ◽  
Global Circulation ◽  
Global Circulation Models ◽  
Great Divergence ◽  
Rainfall Runoff Model ◽  
The Impact ◽  
Reservoir Yield

ABSTRACT Climate changes can have different impacts on water resources. Strategies to adapt to climate changes depend on impact studies. In this context, this study aimed to estimate the impact that changes in precipitation, projected by Global Circulation Models (GCMs) in the fifth report by the Intergovernmental Panel on Climate Change (IPCC-AR5) may cause on reservoir yield (Q90) of large reservoirs (Castanhão and Banabuiú), located in the Jaguaribe River Basin, Ceará. The rainfall data are from 20 GCMs using two greenhouse gas scenarios (RCP4.5 and RCP8.5). The precipitation projections were used as input data for the rainfall-runoff model (SMAP) and, after the reservoirs’ inflow generation, the reservoir yields were simulated in the AcquaNet model, for the time periods of 2040-2069 and 2070-2099. The results were analyzed and presented a great divergence, in sign (increase or decrease) and in the magnitude of change of Q90. However, most Q90 projections indicated reduction in both reservoirs, for the two periods, especially at the end of the 21th century.

scholarly journals Projected Future Temporal Trends of Two Different Urban Heat Islands in Athens (Greece) under Three Climate Change Scenarios: A Statistical Approach

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 637 ◽  
Author(s):  
Tim van der Schriek ◽  
Konstantinos V. Varotsos ◽  
Christos Giannakopoulos ◽  
Dimitra Founda
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Air Temperature ◽  
Temporal Trends ◽  
Temperature Data ◽  
Rural Site ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
The Future ◽  
The Impact

This is the first study to look at future temporal urban heath island (UHI) trends of Athens (Greece) under different UHI intensity regimes. Historical changes in the Athens UHI, spanning 1971–2016, were assessed by contrasting two air temperature records from stable meteorological stations in contrasting urban and rural settings. Subsequently, we used a five-member regional climate model (RCM) sub-ensemble from EURO-CORDEX with a horizontal resolution of 0.11° (~12 × 12 km) to simulate air temperature data, spanning the period 1976–2100, for the two station sites. Three future emissions scenarios (RCP2.6, RCP4.5, and RCP8.5) were implanted in the simulations after 2005 covering the period 2006–2100. Two 20-year historical reference periods (1976–1995 and 1996–2015) were selected with contrasting UHI regimes; the second period had a stronger intensity. The daily maximum and minimum air temperature data (Tmax and Tmin) for the two reference periods were perturbed to two future periods, 2046–2065 and 2076–2095, under the three RCPs, by applying the empirical quantile mapping (eqm) bias-adjusting method. This novel approach allows us to assess future temperature developments in Athens under two UHI intensity regimes that are mainly forced by differences in air pollution and heat input. We found that the future frequency of days with Tmax > 37 °C in Athens was only different from rural background values under the intense UHI regime. Thus, the impact of heatwaves on the urban environment of Athens is dependent on UHI intensity. There is a large increase in the future frequency of nights with Tmin > 26 °C in Athens under all UHI regimes and climate scenarios; these events remain comparatively rare at the rural site. This large urban amplification of the frequency of extremely hot nights is likely caused by air pollution. Consequently, local mitigation policies aimed at decreasing urban atmospheric pollution are expected to be highly effective in reducing urban temperatures and extreme heat events in Athens under future climate change scenarios. Such policies directly have multiple benefits, including reduced electricity (energy) needs, improved living quality and strong health advantages (heat- and pollution-related illness/deaths).

scholarly journals Downscaling climate change scenarios for apple pest and disease modeling in Switzerland

2011 ◽  
Vol 2 (2) ◽  
pp. 493-529 ◽  
Author(s):  
M. Hirschi ◽  
S. Stoeckli ◽  
M. Dubrovsky ◽  
C. Spirig ◽  
P. Calanca ◽  
...  
Keyword(s):  
Climate Change ◽  
Fire Blight ◽  
Codling Moth ◽  
Weather Data ◽  
Climate Change Scenarios ◽  
Climate Conditions ◽  
Pests And Diseases ◽  
Daily Weather Data ◽  
The Future ◽  
The Impact

Abstract. As a consequence of current and projected climate change in temperate regions of Europe, agricultural pests and diseases are expected to occur more frequently and possibly to extend to previously not affected regions. Given their economic and ecological relevance, detailed forecasting tools for various pests and diseases have been developed, which model their phenology depending on actual weather conditions and suggest management decisions on that basis. Assessing the future risk of pest-related damages requires future weather data at high temporal and spatial resolution. Here, we use a combined stochastic weather generator and re-sampling procedure for producing site-specific hourly weather series representing present and future (1980–2009 and 2045–2074 time periods) climate conditions in Switzerland. The climate change scenarios originate from the ENSEMBLES multi-model projections and provide probabilistic information on future regional changes in temperature and precipitation. Hourly weather series are produced by first generating daily weather data for these climate scenarios and then using a nearest neighbor re-sampling approach for creating realistic diurnal cycles. These hourly weather series are then used for modeling the impact of climate change on important life phases of the codling moth and on the number of predicted infection days of fire blight. Codling moth (Cydia pomonella) and fire blight (Erwinia amylovora) are two major pest and disease threats to apple, one of the most important commercial and rural crops across Europe. Results for the codling moth indicate a shift in the occurrence and duration of life phases relevant for pest control. In southern Switzerland, a 3rd generation per season occurs only very rarely under today's climate conditions but is projected to become normal in the 2045–2074 time period. While the potential risk for a 3rd generation is also significantly increasing in northern Switzerland (for most stations from roughly 1 % on average today to over 60 % in the future for the median climate change signal of the multi-model projections), the actual risk will critically depend on the pace of the adaptation of the codling moth with respect to the critical photoperiod. To control this additional generation, an intensification and prolongation of control measures (e.g., insecticides) will be required, implying an increasing risk of pesticide resistances. For fire blight, the projected changes in infection days are less certain due to uncertainties in the leaf wetness approximation and the simulation of the blooming period. Two compensating effects are projected, warmer temperatures favoring infections are balanced by a temperature-induced advancement of the blooming period, leading to no significant change in the number of infection days under future climate conditions for most stations.

scholarly journals Investigating the Impact of Climate Change on Future Runoff of River Satluj

2016 ◽  
Vol 8 (1) ◽  
pp. 10-21
Author(s):  
Narayan P Gautam ◽  
Manohar Arora ◽  
N.K. Goel ◽  
A.R.S. Kumar
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
General Circulation ◽  
Circulation Model ◽  
Climate Change Scenarios ◽  
Impact Of Climate Change ◽  
Basin Scale ◽  
The Future ◽  
Future Climatic Condition ◽  
The Impact

Climate change has been emerging as one of the challenges in the global environment. Information of predicted climatic changes in basin scale is highly useful to know the future climatic condition in the basin that ultimately becomes helpful to carry out planning and management of the water resources available in the basin. Climatic scenario is a plausible and often simplified representation of the future climate, based on an internally consistent set of climatological relationships that has been constructed for explicit use in investigating the potential consequences of anthropogenic climate change. This study based on statistical downscaling, provide good example focusing on predicting the rainfall and runoff patterns, using the coarse general circulation model (GCM) outputs. The outputs of the GCMs are utilized to study the impact of climate change on water resources. The present study has been taken up to identify the climate change scenarios for Satluj river basin, India.Journal of Hydrology and Meteorology, Vol. 8(1) p.10-21

scholarly journals Downscaling climate change scenarios for apple pest and disease modeling in Switzerland

2012 ◽  
Vol 3 (1) ◽  
pp. 33-47 ◽  
Author(s):  
M. Hirschi ◽  
S. Stoeckli ◽  
M. Dubrovsky ◽  
C. Spirig ◽  
P. Calanca ◽  
...  
Keyword(s):  
Climate Change ◽  
Fire Blight ◽  
Codling Moth ◽  
Weather Data ◽  
Climate Change Scenarios ◽  
Climate Conditions ◽  
Pests And Diseases ◽  
Daily Weather Data ◽  
The Future ◽  
The Impact

Abstract. As a consequence of current and projected climate change in temperate regions of Europe, agricultural pests and diseases are expected to occur more frequently and possibly to extend to previously non-affected regions. Given their economic and ecological relevance, detailed forecasting tools for various pests and diseases have been developed, which model their phenology, depending on actual weather conditions, and suggest management decisions on that basis. Assessing the future risk of pest-related damages requires future weather data at high temporal and spatial resolution. Here, we use a combined stochastic weather generator and re-sampling procedure for producing site-specific hourly weather series representing present and future (1980–2009 and 2045–2074 time periods) climate conditions in Switzerland. The climate change scenarios originate from the ENSEMBLES multi-model projections and provide probabilistic information on future regional changes in temperature and precipitation. Hourly weather series are produced by first generating daily weather data for these climate scenarios and then using a nearest neighbor re-sampling approach for creating realistic diurnal cycles. These hourly weather series are then used for modeling the impact of climate change on important life phases of the codling moth and on the number of predicted infection days of fire blight. Codling moth (Cydia pomonella) and fire blight (Erwinia amylovora) are two major pest and disease threats to apple, one of the most important commercial and rural crops across Europe. Results for the codling moth indicate a shift in the occurrence and duration of life phases relevant for pest control. In southern Switzerland, a 3rd generation per season occurs only very rarely under today's climate conditions but is projected to become normal in the 2045–2074 time period. While the potential risk for a 3rd generation is also significantly increasing in northern Switzerland (for most stations from roughly 1% on average today to over 60% in the future for the median climate change signal of the multi-model projections), the actual risk will critically depend on the pace of the adaptation of the codling moth with respect to the critical photoperiod. To control this additional generation, an intensification and prolongation of control measures (e.g. insecticides) will be required, implying an increasing risk of pesticide resistances. For fire blight, the projected changes in infection days are less certain due to uncertainties in the leaf wetness approximation and the simulation of the blooming period. Two compensating effects are projected, warmer temperatures favoring infections are balanced by a temperature-induced advancement of the blooming period, leading to no significant change in the number of infection days under future climate conditions for most stations.

scholarly journals Phenology of Tempranillo and Cabernet-Sauvignon varieties cultivated in the Ribera del Duero DO: observed variability and predictions under climate change scenarios

OENO One ◽  
2018 ◽  
Vol 52 (1) ◽  
Author(s):  
Maria Concepción Ramos ◽  
Gregory V Jones ◽  
Jesús Yuste
Keyword(s):  
Climate Change ◽  
Emission Scenario ◽  
Coupled Model ◽  
Late Winter ◽  
Cabernet Sauvignon ◽  
Climate Change Scenarios ◽  
Wine Quality ◽  
Rcp Scenarios ◽  
The Future ◽  
The Impact

Aim: This research examined relationships between grapevine phenology and climate in the Ribera del Duero DO (Spain). The observed varieties included Tempranillo, the main variety planted in the region, and Cabernet-Sauvignon.Methods and Results: Phenological events for stages C (budbreak), I (bloom), M (véraison) and N (maturity) were analyzed for 2004-2015. Dormant period chilling and late winter heating requirements to initiate growth were evaluated and accumulated temperature (growing degree days-GDD) prior to each phenological event and in between events were examined for the role they play in influencing growth timing. The results were then used to examine future phenological changes due to climate change using eight models integrated in the Coupled Model Intercomparison Project (CMIP5) and for two Representative Concentration Pathways (RCP) scenarios – RCP4.5 and RCP8.5 – for 2030, 2050, and 2070. Accumulated temperatures after March 20th become important for initiating phenology and are strongly correlated to all growth events. The influence of water availability between budbreak and bloom and between bloom and véraison on phenological timing was also confirmed.Conclusions: The projections showed that for the RCP4.5 emission scenario, budbreak is predicted earlier by approximately 2 days for 2030, 3 days for 2050 and 5 days for 2070, while bloom is predicted to be 3 to 8 days earlier and véraison 6 to 19 days earlier for the same time periods. For the RCP8.5 emission scenario, budbreak is modeled to take place about 3 days, 5 days and 9 days earlier, respectively for 2030, 2050 and 2070. Bloom is predicted to occur about 5, 10 and 16 days earlier; véraison is predicted earlier by 10 days for 2030, 19 days for 2050, and 28 days for 2070. Maturity and the timing of harvest could be up to 23 days earlier under the RCP4.5 emission scenario and up to 35 days earlier under the RCP8.5 emission scenario. Compared to Cabernet-Sauvignon, Tempranillo exhibited greater phenological sensitivity to temperature changes in the observed time period that is likely to continue into the future with greater changes to earlier growth events projected. This sensitivity could be problematic for the region due to the variety’s historic importance and points to the need to examine adaptive measures that can help growers to respond to projected changes in climate.Significance and impact of the study: The projected climate changes in the future indicate the potential for significant changes in the phenology of Tempranillo in the Ribera del Duero DO, Spain. Given that this variety has the largest contribution and importance in this region, these changes could have impacts on wine quality, indicating the need of establishing strategies to reduce or mitigate the impact from future changes in climate.

scholarly journals Drought occurrence under future climate change scenarios in the Zard River basin, Iran

2020 ◽  
Author(s):  
Pedram Mahdavi ◽  
Hossein Ghorbanizadeh Kharazi ◽  
Hossein Eslami ◽  
Narges Zohrabi ◽  
Majid Razaz
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Hydrological Drought ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Future Period ◽  
Drought Assessment ◽  
The Future ◽  
The Impact

Abstract Global warming affected by human activities causes changes in the regime of rivers. Rivers are one of the most vital sources that supply fresh water. Therefore, management, planning, and proper use of rivers will be crucial for future climate change conditions. This study investigated the monitoring of hydrological drought in a future period to examine the impact of climate change on the discharging flow of the Zard River basin in Iran. Zard River is an important supplier of fresh and agricultural water in a vast area of Khuzestan province in Iran. A continuous rainfall-runoff model based on Soil Moisture Accounting (SMA) algorithm was applied to simulate the discharge flow under 10 scenarios (obtained from LARS-WG.6 software) of future climate change. Then, the Stream-flow Drought Index (SDI) and the Standard Precipitation Index (SPI) were calculated for each climate change scenario for the future period (2041–2060). The results of the meteorological drought assessment showed that near normal and moderate droughts had higher proportions among other drought conditions. Moreover, the hydrological drought assessment showed the occurrence of two new droughts (severe and extreme) conditions for the future period (2041–2060) that has never happened in the past (1997–2016).

scholarly journals Predicting the Potential Habitat of Three Endangered Species of Carpinus genus under Climate Change and Human Activity

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1216
Author(s):  
Jiejie Sun ◽  
Lei Feng ◽  
Tongli Wang ◽  
Xiangni Tian ◽  
Xiao He ◽  
...  
Keyword(s):  
Climate Change ◽  
Endangered Species ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Potential Habitat ◽  
Human Footprint ◽  
Precipitation Seasonality ◽  
The Future ◽  
Potential Habitats ◽  
The Impact

The impact of climate change and human activities on endangered plants has been a serious concern in forest ecology. Some Carpinus plants have become extinct. Thus, we need to pay more attention to the Carpinus plants that are not yet extinct but are endangered. Here, we employed the species distribution model (SDM) considering different climate change scenarios and human footprint to test the potential habitat changes of three Carpinus species (C. oblongifolia, C. tientaiensis, and C. purpurinervis) in the future. Our results showed that the mean diurnal range of temperature (MDRT), isothermality, mean temperature of wettest quarter, and human footprint were the most influential factors determining the distribution of C. oblongifolia. Precipitation seasonality (coefficient of variation), MDRT, and precipitation of driest quarter were the most important climatic factors affecting C. tientaiensis. The minimum temperature of the coldest month was the most important factor in the distribution of C. purpurinervis. Our results also showed that the three species had different adaptability and habitat change trends under the future climate change scenarios, although they belong to the same genus. The potential habitats of C. oblongifolia would expand in the future, while the potential habitats of C. tientaiensis and C. purpurinervis would decrease for the same period. The predicted changes of these three endangered species on temporal and spatial patterns could provide a theoretical basis for their conservation strategies.

Impact of Climate Change on Agriculture and Food Security

2016 ◽  
Vol 1 (1) ◽  
pp. 32-46
Author(s):  
Sunil Londhe
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Atmospheric Carbon Dioxide ◽  
Agricultural Sector ◽  
Agricultural Research ◽  
Great Depth ◽  
Mitigation Measures ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
The Future

Many studies have demonstrated the sensitivities of crop yield to a changing climate, a major challenge for the agricultural research community is to relate these findings to the wider societal concern with food security. Apart from few exceptions, the likely impacts of climate change on agricultural sector in the future are not understood in any great depth. There are many concerns as to how changes in temperature, rainfall and atmospheric Carbon Dioxide concentrations will interact in relation to agricultural productivity. The present article is an attempt to distil about the likely effects of climate change on food security and nutrition in coming decades. The consequences of climate change on various important aspects of agriculture are discussed and summarized. The article also discusses the analysis on the possible mitigation measures and adaptations for agriculture production in the future climate change scenarios.

Sign in / Sign up

Export Citation Format

Share Document