scholarly journals Scale To Measure the Attitude of Perennial Crop Farmers towards Climate Change in Tamil Nadu

2021 ◽  
pp. 291-298
Author(s):  
D. Bharath ◽  
R. Velusamy ◽  
J. Pushpa ◽  
K. Prabakaran
Keyword(s):  
Climate Change ◽  
Negative Affect ◽  
Tamil Nadu ◽  
Quantitative Assessment ◽  
Negative Influence ◽  
Attitude Scale ◽  
Q Value ◽  
Perennial Crop ◽  
Interval Method

The degree of positive or negative affect associated with a psychological object is referred to as attitude. Any symbol, phrase, slogan, person, institution, idea or ideal toward which people could differ in terms of positive or negative influence can be used as a psychological object. Attitude scale provides a quantitative assessment of attitudes, views, or values by summarizing numerical scores assigned by researchers to people's replies to sets of statements investigating different aspects of a central subject. The objective of this research was to construct and standardize the same. A scale measuring the attitude of perennial crop farmers towards climate change in Tamil Nadu is developed. One hundred possible statements were prepared to assess the perennial crop farmers attitude towards climate change using the five-point continuum. The S-value and Q-value of each statement were found. The scale was developed using the equal appearing interval method, which comprises of 10 statements (four positive and six negative).

Quantitative Assessment of Climate Change Vulnerability of Irrigation Demands in Mediterranean Europe

2014 ◽  
Vol 29 (2) ◽  
pp. 325-338 ◽  
Author(s):  
Luis Garrote ◽  
Ana Iglesias ◽  
Alfredo Granados ◽  
Luis Mediero ◽  
Francisco Martin-Carrasco
Keyword(s):  
Climate Change ◽  
Quantitative Assessment ◽  
Climate Change Vulnerability ◽  
Mediterranean Europe

Impact of Future Climate Change on Growth and Productivity of Rice Crop in Tamil Nadu

2007 ◽  
Vol 1 (3) ◽  
pp. 119-124 ◽  
Author(s):  
O. Srivani ◽  
V. Geethalaks ◽  
R. Jagannatha ◽  
K. Bhuvaneswa ◽  
L. Guruswamy
Keyword(s):  
Climate Change ◽  
Tamil Nadu ◽  
Future Climate ◽  
Rice Crop ◽  
Future Climate Change

scholarly journals PENGARUH BENCANA ALAM, PERUBAHAN IKLIM, DAN KUALITAS LINGKUNGAN TERHADAP JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA KE INDONESIA

2019 ◽  
Vol 1 (4) ◽  
pp. 13
Author(s):  
Safitri Safitri ◽  
Alpon Satrianto
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Panel Data ◽  
Natural Disaster ◽  
Significant Influence ◽  
Research Result ◽  
Negative Influence ◽  
Positive Influence ◽  
Environment Quality ◽  
Research Goal

This research goal is looking for the effect of natural disaster, climate change, and environment quality to the amount of tourist visit to Indonesia. This research uses panel data from 2014 untill 2017, the data get from the related institutions, and uses multiple regression analysis. This research result: 1) Natural disaster has negative influence and it is not significant to tourist visit to Indonesia, 2) Climate change has positive and significant influence to tourist visit to Indonesia, and 3) Environment quality has positive influence and is not significant to the amount of torist visit to Indonesia.

scholarly journals Water resilience mapping of Chennai, India using analytical hierarchy process

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
R. Kaaviya ◽  
V. Devadas
Keyword(s):  
Climate Change ◽  
Analytical Hierarchy Process ◽  
Tamil Nadu ◽  
Water Resource Management ◽  
Global Climate ◽  
Decision Matrix ◽  
Analysis Technique ◽  
Study Results ◽  
Chennai City ◽  
Hierarchy Process

Abstract Background The urban water system is the worst hit in global climate change. Water resilience is the system’s ability to retaliate and recover from various water-related disruptions. The present study aims to delineate the water resilience zones in Chennai city, Tamil Nadu, India, by effectively integrating the geographic information system, remote sensing, and analytical hierarchy process (AHP). Methods The methodology incorporated 15 vital factors. A multi-criteria decision analysis technique was adopted to assign a weight to each parameter using the AHP. A pairwise decision matrix was constructed, parameter’s relative importance and the consistency ratio were established. Integration of all maps by weighted overlay analysis technique depicted water resilience intensities of five different classes. Results Very low, low and moderate water resilience areas accounted for more than three-fourth of the study area. Area Under Curve score (80.12%) depicted the accuracy of the developed model. Sensitivity analysis determined the significance of the parameters in the delineation. The logical structural approach can be employed in other parts of India or elsewhere with modifications. Conclusion This study is novel in its approach by holistically analyzing water resilience by integrating disruptions related to flood, drought and the city's water infrastructure system's adequacy and efficiency. Researchers and planners can effectively use the study results to ensure resilience as a new perspective on effective water resource management and climate change mitigation. It becomes a decision aid mechanism identifying where the system is vulnerable to potential water-related risks for employing resilience measures.

scholarly journals Regional assessment of climate risks using GIS technologies (on the example of the Belgorod Region)

2020 ◽  
Vol 26 (1) ◽  
pp. 271-278
Author(s):  
Yuri Chendev ◽  
Maria Lebedeva ◽  
Olga Krymskaya ◽  
Maria Petina
Keyword(s):  
Climate Change ◽  
Quantitative Assessment ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Winter Period ◽  
Adaptation Measures ◽  
Climate Services ◽  
Climate Risks ◽  
Weather And Climate ◽  
The Impact

The ongoing climate change requires a quantitative assessment of the impact of weather conditions on the nature and livelihoods of the population. However, to date, the concept of “climate risk” has not been finally defined, and the corresponding terminology is not universally recognized. One manifestation of climate change is an increase in climate variability and extremeness in many regions. At the same time, modern statistics indicate growing worldwide damage from dangerous weather and climate events. The most widely used in climate services is the concept of “Vulnerability index”, which reflects a combination (with or without weighing) of several indicators that indicate the potential damage that climate change can cause to a particular sector of the economy. development of adaptation measures to ensure sustainable development of territories. The main criterion for the vulnerability of the territory from the point of view of meteorological parameters is the extremeness of the basic values: daily air temperature, daily precipitation, maximum wind speed. To fully take into account the possible impacts of extreme climatic conditions on the region’s economy, it is necessary to detail the weather and climate risks taking into account the entire observation network, since significant differences in quantitative assessment are possible. The obtained average regional values of the climate vulnerability indices for the Belgorod Region of the Russian Federation provide 150 points for the winter period, 330 points for the summer season, which indicates the prevalence of extreme weather conditions in the warm season. Most of the territory has a relative influence on climatic phenomena, with the exception of the East and the Southeast Region. Moreover, the eastern part of the region is the most vulnerable in climatic terms.

Climate change impact chains in the water sector: observations from projects on the East India coast

2013 ◽  
Vol 5 (2) ◽  
pp. 216-232
Author(s):  
Sibylle Kabisch ◽  
Ronjon Chakrabarti ◽  
Till Wolf ◽  
Wilhelm Kiewitt ◽  
Ty Gorman ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Climate Change Impact ◽  
Tamil Nadu ◽  
Causal Chain ◽  
Climate Impacts ◽  
Top Down ◽  
Bottom Up ◽  
Change Impact ◽  
The Impact

With regional variations, climate change has a significant impact on water quality deterioration and scarcity, which are serious challenges in developing countries and emerging economies. Often, effective projects to improve water management in the light of climate change are difficult to develop because of the complex interrelations between direct and indirect climate impacts and local perceptions of vulnerabilities and needs. Adaptation projects can be developed through a combination of participatory, bottom-up needs assessments and top-down analyses. Climate change impact chains can help to display the causal chain of climate signals and resulting impacts and thereby establish a system map as a basis for stakeholder discussions. This article aims to develop specific climate change impact chains for the water management sector in rural coastal India that combine bottom-up and top-down perspectives. Case studies from Tamil Nadu and Andhra Pradesh, India, provide a basis for the impact chains developed. Bottom-up data were gathered through a vulnerability and needs assessment in 18 villages complemented with top-down research data. The article is divided into four steps: (1) system of interest; (2) data on climate change signals; (3) climate change impacts based on top-down as well as bottom-up information; (4) specific impact chains complemented by initial climate change adaptation options.

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