Impacts of future Indian greenhouse gas emission scenarios on projected climate change parameters deduced from MAGICC model

2011 ◽  
Vol 111 (2) ◽  
pp. 425-443 ◽  
Author(s):  
Mukti Sharma ◽  
Chhemendra Sharma ◽  
Abdul Qaiyum
Keyword(s):  
Climate Change ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Emission Scenarios ◽  
Gas Emission

scholarly journals Greenhouse gas emission scenarios in nine key non-G20 countries: An assessment of progress toward 2030 climate targets

2021 ◽  
Vol 123 ◽  
pp. 67-81
Author(s):  
Takeshi Kuramochi ◽  
Leonardo Nascimento ◽  
Mia Moisio ◽  
Michel den Elzen ◽  
Nicklas Forsell ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Emission Scenarios ◽  
Gas Emission ◽  
Climate Targets

PESTICIDE AND GREENHOUSE GAS EXTERNALITIES FROM US AGRICULTURE — THE IMPACT OF THEIR INTERNALIZATION AND CLIMATE CHANGE

2013 ◽  
Vol 04 (03) ◽  
pp. 1350008 ◽  
Author(s):  
NIKOLINKA SHAKHRAMANYAN ◽  
UWE A. SCHNEIDER ◽  
BRUCE A. McCARL
Keyword(s):  
Climate Change ◽  
Greenhouse Gas ◽  
Agricultural Sector ◽  
Greenhouse Gas Emission ◽  
Production Costs ◽  
Net Income ◽  
Gas Emission ◽  
Emission Mitigation ◽  
The Us ◽  
The Impact

Climate change may affect the use of pesticides and their associated environmental and human health impacts. This study employs and modifies a partial equilibrium model of the US agricultural sector to examine the effects of alternative regulations of the pesticide and greenhouse gas emission externality. Simulation results indicate that without pesticide externality regulations and low greenhouse gas emission mitigation strategy, climate change benefits from increased agricultural production in the US are more than offset by increased environmental costs. Although the combined regulation of pesticide and greenhouse gas emission externalities increases farmers' production costs, their net income effects are positive because of price adjustments and associated welfare shifts from consumers to producers. The results also show heterogeneous impacts on preferred pest management intensities across major crops. While pesticide externality regulations lead to substantial increases in total water use, climate policies induce the opposite effect.

scholarly journals Effects of Climate Change on the Distribution of Akebia quinata

2021 ◽  
Vol 9 ◽  
Author(s):  
Jun-Ming Zhang ◽  
Min-Li Song ◽  
Zhen-Jian Li ◽  
Xiang-Yong Peng ◽  
Shang Su ◽  
...  
Keyword(s):  
Climate Change ◽  
East Asia ◽  
Distribution Pattern ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Climate Factors ◽  
Gas Emission ◽  
Tropical Zone ◽  
Geometric Center ◽  
The Impact

Akebia quinata, also known as chocolate vine, is a creeping woody vine which is used as Chinese herbal medicine, and found widely distributed in East Asia. At present, its wild resources are being constantly destroyed. This study aims to provide a theoretical basis for the resource protection of this plant species by analyzing the possible changes in its geographic distribution pattern and its response to climate factors. It is the first time maximum entropy modeling (MaxEnt) and ArcGIS software have been used to predict the distribution of A. quinata in the past, the present, and the future (four greenhouse gas emission scenarios, namely, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Through the prediction results, the impact of climate change on the distribution of A. quinata and the response of A. quinata to climate factors were analyzed. The results showed that the most significant climatic factor affecting the distribution pattern of A. quinata was the annual precipitation. At present, the suitable distribution regions of A. quinata are mainly in the temperate zone, and a few suitable distribution regions are in the tropical zone. The medium and high suitable regions are mainly located in East Asia, accounting for 51.1 and 81.7% of the worldwide medium and high suitable regions, respectively. The migration of the geometric center of the distribution regions of A. quinata in East Asia is mainly affected by the change of distribution regions in China, and the average migration rate of the geometric center in each climate scenario is positively correlated with the level of greenhouse gas emission scenario.

scholarly journals Resource Based Conflict and Climate Change in the Niger Delta Region, Nigeria

2021 ◽  
pp. 206-216
Author(s):  
Eziho Promise Ogele
Keyword(s):  
Climate Change ◽  
Greenhouse Gas ◽  
Niger Delta ◽  
Greenhouse Gas Emission ◽  
Weather Conditions ◽  
Local Economy ◽  
Delta Region ◽  
Gas Emission ◽  
Oil Companies ◽  
Niger Delta Region

The study examined the effects of climate change on the local economy occasioned by resource-based conflict in the Niger Delta region, Nigeria. The alteration in weather conditions in the Niger Delta region is associated with anthropogenic activities of the transnational oil companies for over five decades in the Niger Delta region, Nigeria. Despite the degree of oil exploration and exploitation, the Niger Delta region remained underdeveloped in social amenities. The inhabitants were deprived and alienated from the Petrodollar benefits. The launching of artisanal refining by the locals as a way of getting from Petro Dollar business became inevitable. These activities have increased greenhouse gas emission leading to the alteration in weather conditions in the Region Sadly, the Joint Military Task Force deployed to monitor and arrest culprit bombard and burn down the artisanal refining equipment unprofessionally, thereby increasing greenhouse gas emission into the atmosphere. Given the above, the Niger Delta inhabitants are experiencing alteration in weather condition leading to poor agricultural harvest.  The study adopted Frustration/Aggression theoretical as its framework. The study relied on primary through questionnaires and interview, while secondary sources data was through journals, books, newspapers, among others. The study unraveled that resource-based conflict occasioned deprivation and frustration increased greenhouse gas emission. The study recommends amongst others convening a climate change summit that will involve all the stakeholders in the oil activities in the Region.

scholarly journals Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1260 ◽  
Author(s):  
Khalid Alotaibi ◽  
Abdul Ghumman ◽  
Husnain Haider ◽  
Yousry Ghazaw ◽  
Md. Shafiquzzaman
Keyword(s):  
Saudi Arabia ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Data Driven ◽  
Emission Scenarios ◽  
Gas Emission ◽  
The Future ◽  
Emissions Scenarios ◽  
The Impact

Future predictions of rainfall patterns in water-scarce regions are highly important for effective water resource management. Global circulation models (GCMs) are commonly used to make such predictions, but these models are highly complex and expensive. Furthermore, their results are associated with uncertainties and variations for different GCMs for various greenhouse gas emission scenarios. Data-driven models including artificial neural networks (ANNs) and adaptive neuro fuzzy inference systems (ANFISs) can be used to predict long-term future changes in rainfall and temperature, which is a challenging task and has limitations including the impact of greenhouse gas emission scenarios. Therefore, in this research, results from various GCMs and data-driven models were investigated to study the changes in temperature and rainfall of the Qassim region in Saudi Arabia. Thirty years of monthly climatic data were used for trend analysis using Mann–Kendall test and simulating the changes in temperature and rainfall using three GCMs (namely, HADCM3, INCM3, and MPEH5) for the A1B, A2, and B1 emissions scenarios as well as two data-driven models (ANN: feed-forward-multilayer, perceptron and ANFIS) without the impact of any emissions scenario. The results of the GCM were downscaled for the Qassim region using the Long Ashton Research Station’s Weather Generator 5.5. The coefficient of determination (R2) and Akaike’s information criterion (AIC) were used to compare the performance of the models. Results showed that the ANNs could outperform the ANFIS for predicting long-term future temperature and rainfall with acceptable accuracy. All nine GCM predictions (three models with three emissions scenarios) differed significantly from one another. Overall, the future predictions showed that the temperatures of the Qassim region will increase with a specified pattern from 2011 to 2099, whereas the changes in rainfall will differ over various spans of the future.

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