scholarly journals Researching trends of rainfall change in Ninh Thuan in the context of climate change by the non-parametric method

2020 ◽  
Vol 5 (1) ◽  
pp. first
Author(s):  
Tuan Hoang Nguyen ◽  
Truong Thanh Canh
Keyword(s):  
Climate Change ◽  
Statistical Significance ◽  
Parametric Method ◽  
Economic Life ◽  
Annual Rainfall ◽  
Rain Gauges ◽  
Rainfall Change ◽  
Study Results ◽  
Mitigate Climate Change ◽  
Non Parametric

The purpose of this study is to analyze the trend of precipitation change in Ninh Thuan province in the context of Climate Change. In this study, the authors used precipitation data at rain gauges with a minimum duration of 24 years and a maximum of 36 years. The main method was used in this study is the non-parametric method, namely Mann-Kendall analysis and the Theil-Sen slope. The research was conducted under the support of ProULC 5.1 and MAKESEN 1.0 software. The results showed that annual rainfall in Ninh Thuan province tended to increase in the time series of observation. Specifically, the downward trend of rainfall was mainly in March and increased from July to November. Along with that, through the index regarding the trend of increase and decrease of rainfall, the study also showed a prediction of the trend of increasing rainfall for the area. Forecast results of 2035 rainfall in Ninh Thuan the highest the increase is expected 7.7% and in 2050 is 13.8%. The study results have reflected the actual situation of rainfall change in the context of climate change with the stations having statistical significance (p <0.05). The research results are the basis for Ninh Thuan province to develop solutions to adapt and mitigate climate change in the fields of Socio-Economic life.

scholarly journals Leaders, Followers, and Laggards: Adoption of the Us Conference of Mayors Climate Protection Agreement in California

10.1068/c1122 ◽  
2012 ◽  
Vol 30 (6) ◽  
pp. 1116-1128 ◽  
Author(s):  
Rui Wang
Keyword(s):  
Climate Change ◽  
Quantitative Research ◽  
Local Level ◽  
Climate Protection ◽  
Local Climate ◽  
Voter Preferences ◽  
Average Household Income ◽  
Study Results ◽  
The Us ◽  
Mitigate Climate Change

Limited quantitative research has been devoted to voluntary climate actions at the local level. It is unclear why some cities act as leaders in the fight against climate change, some act as followers, while others remain laggards. This study tests hypotheses about local climate proactiveness to mitigate climate change. Applying a survival analysis to California cities' adoption of the US Conference of Mayors Climate Protection Agreement, I examine the association between cities' adoption of the agreement, a range of cities' characteristics, and the behavior of neighboring jurisdictions. The results suggest important roles of the overall capacity of a local jurisdiction, its staff capacity with relevant expertise, average household income level, and voter preferences. Study results also suggest the importance of local traffic conditions and the positive peer effect.

scholarly journals How Do Online News Genres Take Up Knowledge Claims From a Scientific Research Article on Climate Change?

2018 ◽  
Vol 36 (1) ◽  
pp. 155-189 ◽  
Author(s):  
Nancy Bray
Keyword(s):  
Climate Change ◽  
News Media ◽  
Online News ◽  
News Report ◽  
Research Article ◽  
Study Results ◽  
Research Findings ◽  
Mitigate Climate Change ◽  
One Year ◽  
Knowledge Claims

The Internet has helped to change who writes about science in the news, how news is written, and how it is taken up by different audiences. However, few studies have examined how these changes have impacted the uptake of scientific claims in online news writing. This case study explores how online news genres take up knowledge claims from a research article on climate change over a period of one year and shows how shifting boundaries between rhetorical communities affect genre uptake. The study results show that online news writers predominantly use the news report genre to cover research findings for 48 hours, after which they predominantly use the news editorial genre to engage these findings. Analysis suggests that the news report genre uses the press release and the article abstract as intermediary genres, but the news editorial uses only the abstract. I argue that the switch between genres repositions the scientist, the journalist, and the public epistemologically, a reorientation that favors uptake in news media outlets supporting action to mitigate climate change and its effects.

scholarly journals Public Awareness: What Climate Change Scientists Should Consider

2020 ◽  
Vol 12 (20) ◽  
pp. 8369
Author(s):  
Mohammad Rahimi
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Large Scale ◽  
Public Awareness ◽  
Connected Network ◽  
Multi Scale ◽  
Valuable Addition ◽  
Scientific Approach ◽  
Design Solutions ◽  
Mitigate Climate Change

In this Opinion, the importance of public awareness to design solutions to mitigate climate change issues is highlighted. A large-scale acknowledgment of the climate change consequences has great potential to build social momentum. Momentum, in turn, builds motivation and demand, which can be leveraged to develop a multi-scale strategy to tackle the issue. The pursuit of public awareness is a valuable addition to the scientific approach to addressing climate change issues. The Opinion is concluded by providing strategies on how to effectively raise public awareness on climate change-related topics through an integrated, well-connected network of mavens (e.g., scientists) and connectors (e.g., social media influencers).

scholarly journals Circulant Singular Spectrum Analysis to Monitor the State of the Economy in Real Time

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1169
Author(s):  
Juan Bógalo ◽  
Pilar Poncela ◽  
Eva Senra
Keyword(s):  
Business Cycles ◽  
Real Time ◽  
Parametric Method ◽  
Singular Spectrum Analysis ◽  
The State ◽  
Signal Extraction ◽  
Alternative Procedure ◽  
State Of The Economy ◽  
Regular Patterns ◽  
Non Parametric

Real-time monitoring of the economy is based on activity indicators that show regular patterns such as trends, seasonality and business cycles. However, parametric and non-parametric methods for signal extraction produce revisions at the end of the sample, and the arrival of new data makes it difficult to assess the state of the economy. In this paper, we compare two signal extraction procedures: Circulant Singular Spectral Analysis, CiSSA, a non-parametric technique in which we can extract components associated with desired frequencies, and a parametric method based on ARIMA modelling. Through a set of simulations, we show that the magnitude of the revisions produced by CiSSA converges to zero quicker, and it is smaller than that of the alternative procedure.

scholarly journals Open Intellectual Property Models for Plant Innovations in the Context of New Breeding Technologies

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1218
Author(s):  
Michael A. Kock
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Intellectual Property ◽  
Water Use Efficiency ◽  
Water Use ◽  
Open Innovation ◽  
Climate Resilience ◽  
Use Efficiency ◽  
Mitigate Climate Change ◽  
New Breeding Technologies

Plant related innovations are critical to enable of food security and mitigate climate change. New breeding technologies (NBTs) based on emerging genome editing technologies like CRISPR/Cas will facilitate “breeding-by-editing” and enable complex breeding targets—like climate resilience or water use efficiency—in shorter time and at lower costs. However, NBTs will also lead to an unprecedented patent complexity. This paper discusses implications and potential solutions for open innovation models.

scholarly journals Simulating Agroforestry Adoption in Rural Indonesia: The Potential of Trees on Farms for Livelihoods and Environment

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 385
Author(s):  
Beatrice Nöldeke ◽  
Etti Winter ◽  
Yves Laumonier ◽  
Trifosa Simamora
Keyword(s):  
Climate Change ◽  
Climate Change Scenario ◽  
Agroforestry System ◽  
Environmental Benefits ◽  
Small Scale ◽  
Change Scenario ◽  
Trees On Farms ◽  
Agroforestry Adoption ◽  
Mitigate Climate Change ◽  
Small Scale Farmers

In recent years, agroforestry has gained increasing attention as an option to simultaneously alleviate poverty, provide ecological benefits, and mitigate climate change. The present study simulates small-scale farmers’ agroforestry adoption decisions to investigate the consequences for livelihoods and the environment over time. To explore the interdependencies between agroforestry adoption, livelihoods, and the environment, an agent-based model adjusted to a case study area in rural Indonesia was implemented. Thereby, the model compares different scenarios, including a climate change scenario. The agroforestry system under investigation consists of an illipe (Shorea stenoptera) rubber (Hevea brasiliensis) mix, which are both locally valued tree species. The simulations reveal that farmers who adopt agroforestry diversify their livelihood portfolio while increasing income. Additionally, the model predicts environmental benefits: enhanced biodiversity and higher carbon sequestration in the landscape. The benefits of agroforestry for livelihoods and nature gain particular importance in the climate change scenario. The results therefore provide policy-makers and practitioners with insights into the dynamic economic and environmental advantages of promoting agroforestry.

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