Proceedings of the 2023 International Conference on Environmental Geoscience and Earth Ecology
Florian Nuţă, Danubius University of Galaţi
The Atlantic Meridional Overturning Circulation (AMOC) is a vital component of the global climate system, playing a crucial role in transporting heat and salinity from the equator to the North Atlantic, which in turn keeps Europe significantly warmer than other regions at the same latitude. Despite the fact that long-term observations and models have demonstrated an AMOC slowdown in response to global warming since the industrial revolution, detecting this slowdown in the brief observational record has proven to be challenging. In this study, the author investigates the relationship between short-term variability and the weakening AMOC by analyzing satellite remote sensing data of sea surface salinity collected over a decade. As a consequence of global warming, the weakened AMOC transports less heat and salt from the equator to sub-polar regions, causing heat and salt anomalies. This evidence further corroborates the slowing of the AMOC in response to human-caused warming and emphasizes the variability on a scale of half a decade caused by the deceleration.
Chinese rose is one of the top ten most famous traditional flowers in China, as well as one of the world's four cut flowers and the most frequently used ornamental flower, known as the "queen of flowers." According to the records of the American Rose Association, in 2000 there were more than 24,000 varieties of Chinese roses worldwide. In China, the Chinese rose has a lengthy history of cultivation, a strong mass base, a positive moral symbol, and a robust group of varieties. In recent years, an increasing number of plant breeders have been devoted to the study of Chinese rose breeding, and Chinese rose breeding techniques have advanced by leaps and bounds and produced fruitful outcomes. This paper summarized the breeding objectives of contemporary Chinese rose, analyzed and discussed the breeding techniques of molecular breeding, introduction and screening, crossbreeding, bud sport breeding, mutation breeding, and so on, and anticipated the future research field of Chinese rose breeding.
The paper reveals that the Hadley circulation (HC) is closely related to the dynamic situation of Greenhouse Gases (GHGs). Employing reviewing and summarizing the past essays of several researchers, it is concluded that the increasing amount of GHGs emitted into the atmosphere has led to the pole-ward expansion of the HC, though the extent of the widening of the HC is different in that the factors taken into account are variable. Apart from the observed expansion, studies have also focused on the possible relationship between the widening and the strength of the HC. The definite result of whether the expansion causes the strengthening or weakening of the HC remains unsolved, some predictions have already been made, which either unfold a picture of the weakened HC or a strengthened HC following the pole-ward expansion. While discussing the widening and intensity of the HC, some papers fail to consider factors other than stream and pressure, so the paper also includes some discussions about determinants such as Sea Surface Temperature (SST) anomalies. Lastly, the paper will point out how the change of the HC will alter the climate in parts of the world in terms of precipitation.
Among the malignant diseases that pose a significant risk to children's health and wellbeing is leukemia. As the incidence, diagnosis rate, and mortality rate of leukemia continue to rise, researchers and academics have conducted in-depth investigations into the factors that contribute to the development of this disease in young people. Some of the causes of childhood leukemia can be traced back to the outside world. In this study, we will examine what has been learned so far about how external environmental pollution factors are linked to childhood leukemia.
Invasive Alien Species (IAS) have been an increasing subject of concern with their growing speed of spread and increasing impacts on the invaded areas. The sustainability of IAS control, that is, how to make managing IAS most economical, human, and environmentally efficient is currently an issue under discussion. This review catalogs the general aspects of invasive species, from their natural spread to human-induced causes such as how it is spread through cross-sea and cross-border trades, affected by artificial constructions such as dams and reservoirs, agriculture, climate change, and deliberate introduction. The review also analyzed how IAS causes harm to the ecosystem and human community, what harm it causes, and how humans manage these invaders. Thus, providing a foundation for future research regarding the sustainability of the management of invasive alien species.
This literature review investigates the extensive impact of the COVID-19 pandemic on various aspects of people's lives. Key themes identified include healthcare, economics, livelihood, and mental health during the pandemic. However, gaps and limitations in existing research on the pandemic's impact have been revealed. Notably, the majority of studies focused on the population directly affected by the pandemic, such as the negative impact on mental health during lock-downs, the strain on healthcare systems, and the global economic downturn. This knowledge gap is not unique to the current pandemic but has also been observed in similar studies on the Great Influenza Pandemic and its influence. This study differs from the existing literature in the following way. It would provide further research that examines mental health challenges and stressors faced by healthcare providers, local businesses, and the cascading effects experienced by these affected groups. By addressing the flaws in the global response to the pandemic, this review contributes to the field, facilitating learning from mistakes and enhancing future preparedness. In summary, this literature review highlights the multifaceted impacts of the COVID-19 pandemic on various aspects of people's lives, emphasizing the negative consequences experienced by affected groups. It emphasizes the necessity of addressing these impacts to ensure they are no longer neglected.
ENSO, known as the dominant interannual variation in the climate system, consists of two components: La Niña and El Niño. Earlier research indicates that ENSO is contributed to by red noise, while other studies attribute it to deterministic oceanic dynamical processes. The Bjerknes feedback amplifies the sea surface temperature anomaly, forming a cycle of 2-7 years through delayed negative feedback. ENSO not only significantly impacts the climate of the eastern equatorial Pacific but also influences mid-to-high latitudes by affecting equatorial atmospheric circulation. Additionally, ENSO has important effects on the western Pacific coastal region. For example, sea surface temperature anomalies during ENSO affect East Asian monsoon activity in subsequent years, thereby impacting the Chinese monsoon. Moreover, ENSO influences winter synoptic-scale temperature variability in China by affecting synoptic-scale transient vortices over Siberia. Furthermore, we discuss the similarities and discrepancies in the influence of Central Pacific and Eastern Pacific ENSO events on East Asia.
This paper reviews climatic anomalies in Colombia, and South America, primarily based on CMIP6 model with data from the World Bank Group and the Climatic Data Store API under the emission scenarios SSP1-2.6 and SSP5-8.5. Due to the processing of atmospheric dynamics, ENSO directly affects the northern part of South America and indirectly affects subtropical South America. El Nio years are distinguished by higher incidence of dry weather extremes, and during neutral or La Nia years are likelier to experience wet weather extremes. Overall, western part of Colombia is colder than the southeast since it incorporates a portion of the Andes Mountains. Each of the four seasons has rising temperatures ranging from 2.2 ℃ to 5.2 ℃, with the nation's southern, eastern, and northern regions suffering the highest increases. The west of Colombia experiences more rain throughout the year than the rest of the country, which has the highest precipitation in the spring and summer. Droughts and reduced water supply carried on by rising temperatures could damage infrastructure, damage the environment, loss of revenue, and severe societal effects when combined with flooding brought on by higher precipitation and rainfall anomalies.
Accurate rainfall forecasts help in planning outdoor activities, agricultural practices, and water resource management, thereby mitigating the impact of extreme weather events. This article provides an in-depth analysis of rainfall in Australia, focusing on predicting whether it will rain tomorrow using logistic regression. The research aims to develop an accurate model to help predict rainfall events for better preparedness and planning. We obtained datasets from a number of Australian weather stations. The dataset contains 142,193 daily weather observations spanning approximately ten years. The recorded information includes various details such as date, location, humidity, wind direction, clouds, temperature, etc. This shows that the model performs well in distinguishing between rainy and non-rainy days with an accuracy of about 0.875. The findings of this study have important implications for various stakeholders including meteorologists, disaster management agencies, and the public.
Light pollution is closely related to human life, not only affecting the human experience of viewing the landscape at night, but also affecting the natural light and dark pattern of the ecosystem, resulting in the destruction of the ecosystem, and even causing potential impacts across a range of spatial and temporal scales. In view of the above problems, this paper puts forward the research on the measurement of light pollution risk level and makes relevant intervention strategies to reduce the influence of light pollution. Firstly, the light pollution risk levels in different regions were compared by establishing a model to indirectly quantify the light pollution risk level (LPRM) and using satellite remote sensing images to calculate the luminous flux scale. Then, the index system model (LPRI) of light pollution risk level was established, and the entropy weight method was used to evaluate the weight of each index, and the intervention policy was formulated. All in all, the LPRM model in this paper can roughly measure the level of light pollution risk in a region, and the proposal of this research topic can provide a reference idea for the governments of various countries to issue laws in the future.
Land use has taken on more significance as a result of population increase and urbanization, particularly in emerging nations. The management of natural resources like water, vegetation, and arable land is made easier by the direct observation of land use changes in particular locations at different periods through the use of land categorization photographs. This investigation of land use changes and their features in Tianfu New Area, Chengdu, is based on land satellite imagery from 2011 and 2021. Process the data, extract the land use Stochastic matrix, and do a thorough analysis using remote sensing and GIS tools. The findings show that there are five different forms of land usage in Tianfu District between 2011 and 2021: arable land, construction land, unused land, forest land, and water area, with arable land continually making up the greatest share of the overall area. The conversion of arable and forest land, along with relatively minor changes in the water area, has resulted in the highest rise in the area used for building among all other forms of land use. Additionally, there are large geographical disparities in land use changes, with the north and south of Tianfu New Area experiencing fewer major changes than the south.
Nowadays, climate change and its following impacts have influence on human life, society, and natural ecosystems in many regions on a global scale. Based on the datasets of temperature and human activities, this research analyses the temperature variation trend in Nanjing from 1980 to 2020 by linear regression and time series decomposition. In addition, by comparing correlation coefficients and multiple linear regression, this research explores the correlation between changing temperatures and human activities in the past 41 years. The results show that the temperature of Nanjing has had an increasing trend in the past 41 years, and the warming amplitude is the largest in the spring. Also, temperature change has a correlation with some human activities, and the correlation between total energy consumption and temperature is the biggest. Thus, the influence of human activities on climate is really important.
Arid regions, characterized by low annual precipitation, unique vegetation, and distinctive hydrological cycles, play a significant role in maintaining ecological balance. However, these regions, with their hostile and remote environments, present unique challenges for field research. This study utilizes remote sensing technology, particularly the Normalized Difference Vegetation Index (NDVI), to evaluate the ecosystem's response to drought and understand the relationship between vegetation variability and other landscape features including elevation, soil type, and changes in land use or land cover. Six sites within the city, each of 100 square kilometers and representing diverse landscapes, were selected for the study. Key datasets describing land features were collected from official and authentic websites. A series of ArcGIS-based data processing methods were applied to discern patterns in the relationship between landscape features and vegetation variability, with a particular focus on periods of wet and dry years. The wet and dry years are identified as 2005 and 2009 respectively, based on average rainfall data. Notably, NDVI values in the wet year are consistently higher than in the dry year, with the greatest differences observed in undeveloped or shrubland areas (sites 3, 5, and 6). In terms of land cover, urban development increases in sites 1, 2, and 4 between 2004 and 2008, while shrubland decreases in sites 3, 5, and 6. This development corresponds to a contraction of vegetation cover. The study areas are primarily characterized by loamy soils, with variations in clay and sand composition. These findings underscore the impacts of rainfall and urban development on vegetation health in arid regions.
Traditional models of environmental supervision no longer suffice to meet the challenges of contemporary environmental governance as the tension between protecting the environment and fostering economic development grows. Given this context, ecological environment intelligent supervision has become an essential way and means to safeguard the green mountains. Comprehensive environmental regulation requires the use of cutting-edge technology like artificial intelligence, big data analytics, cloud computing, the internet of things, and online monitoring systems. Simultaneously, the internet and digital technology can enhance the quality of environmental protection decisions and the extent to which they are monitored. Artificial intelligence has the potential to improve the effectiveness of ecological environment supervision and protection, addressing issues such as a lack of human resources and an overabundance of job pressure. This paper used a literature review as its research method, studying articles in the field to learn about the current state of artificial intelligence technology in ecological environment monitoring and governance, its potential future uses, and how to best protect the planet's delicate ecosystems.
Phyllostachys vivax cv. aureocaulis is a kind of bamboo species widely distributed in China, which has high economic value. This paper summarized the research progress of Phyllostachys vivax cv. aureocaulis in recent years, including biological characteristics, cultivation and propagation techniques, bamboo for shoot and bamboo for Phyllostachys vivax cv. aureocaulis, effective chemical constituents in shoots, branches, leaves and stems of Phyllostachys vivax cv. aureocaulis and their application in breeding. Phyllostachys vivax cv. aureocaulis have high utilization value, especially the value of bamboo shoots, which is mainly shown in: long shoot period, high yield, high fiber content, is a good papermaking raw material; Several aspects that should be paid attention to in the future research are put forward: to strengthen the research on the bamboo resources of Phyllostachys vivax cv. aureocaulis (especially the mother bamboo); to carry out in-depth research on the bamboo use and timber use value; and to strengthen the research on the intraspecific, interspecific and interspecific relationships of Phyllostachys vivax cv. aureocaulis.
In recent years, the global excess carbon dioxide emission had caused severe climate change and increase in global temperature since the start of Industrial Revolution. To be specific, extreme weathers have been observed all over the world due to global warming. Therefore, it is of vital importance that the causes of excess carbon dioxide emission should be studied along with respective mitigating strategies. On this basis, this study aims to study and investigate the global history and causes of excess carbon dioxide emission, as well as the physical chemical mechanism of greenhouse effect. In detail, case analysis of excess carbon dioxide emission in China is provided with the relevant negative impact of climate change in China. According to the analysis, policies adopted by the Chinese government and their efficiencies and corresponding suggestions are also discussed in the meantime. Overall, these results shed light on guiding further exploration of carbon dioxide emission on climate change.
The global outbreak of COVID-19 has witnessed a significant and widespread impact since its emergence in 2019. It caused serious negative effects on both population health and economy widely. Numerous researches have been done on the COVID-19 pandemic. There were many articles focused on respective environmental influencing factors of COVID-19. In this research, we reviewed the research examining the environmental factors influencing COVID-19 based on geographic information system technology. We found that five influencing aspects, namely the natural environment, air pollution, society, economy, and government management had significant impact on the transmission of coronavirus. These influencing factors affected the COVID-19 by affecting the virus, the infection opportunity, and the susceptible populations. As these researches indicated the connection between COVID-19 and environmental influencing factors, scientific communities and government should abstract the essences to make valuable decisions in the future.
With a rise of global collective efforts to confront the climate change, China has announced to contribute to the common future by achieving carbon neutrality by 2060. Since the country’s largest portion of energy consumption is fossil fuels, there are great opportunities to mitigate carbon emissions by promoting a wider use of renewable energy and realizing a green transition. Therefore, this study aims to compare China’s progress in terms of the traditional and emerging renewable energy sources, which are represented by solar photovoltaic (PV) and hydrogen power. The study approaches these objects by evaluating their opportunities and challenges respectively. On the one hand, it indicates that while traditional renewable energy demonstrating great potential and dominating the present market, the challenges also encourage people to consider exploring new forms of renewable energy. On the other hand, the emerging forms of renewable energy are far from being commercially available and require support for future breakthrough. The study also suggests that if the government emphasize the technical innovation, financial support, and clearer guidance for the renewable energy industry, it would further set off the future of China’s green development.
Satellite remote sensing technology has become widely used in all sectors of life as satellite equipment has improved and remote sensing technology has evolved. Satellite remote sensing technology has the advantages of objective acquisition mode, accurate picture information, rapid data acquisition, and a large number of applications, and is primarily utilized in a wide variety of dynamic monitoring and analytical work in diverse fields. China has achieved fruitful results in the development and application of remote sensing technology in recent years, launching a variety of satellites including land, meteorology, oceans, cities, water bodies, environment, ecology, disasters, mapping, and other series, and applying the information obtained in many fields, including land, agriculture, forests, grassland, meteorology, oceans, cities, water bodies, environment, ecology, disasters, mapping, and other fields. This study examines and summarizes the present application results of satellite remote sensing technology in environmental monitoring, urban planning, and finance, and serves as a reference for people interested in the field of satellite remote sensing technology. This technology has been widely applied in the field of environmental testing in water bodies, meteorology, land, and disaster; in urban planning, it is primarily used for building location selection and engineering supervision; and in finance, it is used for economic risk assessment.