Role In Environmental Degradation Research Articles

Community Participation in Management of Environmental Pollution in Thika Town, Kenya

The residents of Thika Town in Kenya have long grappled with environmental degradation, primarily driven by its status as an industrial hub housing over 20 factories engaged in local and international productions. This industrial activities coupled with urban expansion to accommodate a growing population has adversely affected the town's environmental sustainability. This study investigates the role of community participation in addressing environmental pollution in Thika town. The study's objectives were assessing community awareness about environmental pollution, understanding the impacts of pollution on local communities, and evaluating the extent of community involvement in pollution management. The research was conducted in four residential estates namely Makongeni, Umoja, Kiboko and Landless within Thika town. Utilizing a mixed-methods approach, the study collected both quantitative and qualitative data through questionnaires and interviews, with quantitative data being analysed descriptively using statistical software. The study identified water and air pollution and solid waste pollution as significant environmental concerns, primarily attributed to industrial emissions, affluence, and sewage. These forms of pollution resulted in various adverse consequences, including respiratory illnesses, structural damage, increased livestock, and human mortality. The study revealed lack of community engagement as a substantial portion of residents were not part of community-based organizations focused on environmental education and advocacy, highlighting a significant gap contributing to ongoing environmental degradation. The study recommends sensitization campaigns to raise awareness among residents about their role in environmental degradation and encourage the adoption of eco-friendly behaviours. Additionally, it underscores the need for policy formulation and implementation to address inadequate waste disposal practices originating from both domestic and industrial sources within the town. In summary, community involvement and policy intervention are essential components in addressing environmental pollution in Thika town

Spatiotemporal changes of land use in response to runoff and sediment yield for environmental sustainability in the upper Blue Nile Basin, Oromiyaa, Ethiopia

Abstract Modeling and mapping hydrological responses of runoff and sediment yield to spatiotemporal land use changes are crucial concerning environmental sustainability. The research was aimed at quantifying the spatiotemporal effects of land use on runoff and sediment yields using three land use satellite images and the SWAT+ model. The increase in agriculture, settlement, and decreasing forest goes to the possibility of increasing sediment yield and runoff by 53.2 and 56.5%, respectively, affecting ecosystems. The areas vulnerable to high runoff were found at the lower and middle reaches with the annual average runoff of 10,825.1, 11,972.9, and 13,452 mm for each respective scenario. On the other hand, most of the soil erosion-prone areas designated as severe in the second and third scenarios were covered by agriculture and shrubland, with annual sediment yields of 301.5 and 267.5 tons, respectively. Deforestation for agricultural expansion has a significant role in environmental degradation, as forests play an irreplaceable role in ecological resilience. Generally, the dominant land uses that instigate soil erosion, runoff, and sediment yield are agriculture, shrubland, and deforestation. The simulation of runoff and sediment yield in response to land use change using the SWAT+ model is more scientifically reliable and acceptable.

Nexus between natural resource depletion and rent and COP26 commitments: Empirical evidence from Vietnam

The goal of Vietnam to achieve certain emission level by 2030 is quite challenging even though the country is fully aware of the threats posed by climate complexities. In this regard, natural resources are influencing ingredients of eco-system and play a major role in environmental degradation. As reduction of methane and carbon emissions along with other GHG emissions were of the main concern of CO26 conference. Thereby, it is essential to get the fresh insights regarding the role of natural resources depletion and rent on methane emissions in Vietnamese context. By employing treadmill production theory, the present article hypothesized environmental quality deteriorates when economic activities increases and natural resources are highly exploited. Secondary data was extracted from WDI covering the time span of 1986–2020. Bayesian Auto-regressive Distributed Lags (BARDL) technique was used to test the hypothesis. From findings, it is revealed that all the chosen variable are positively associated with methane emissions, hence supporting the theory, however, the results contradict with certain studies who claims that the variables especially natural resource depletion and natural resource rent are helpful in reducing methane emissions. In the light of extracted evidences, the authors suggestions some implication that are to be helpful for country to achieve COP26 targets.

Infrastructure Development's role in environmental degradation in sub-Saharan Africa: Impacts and transmission channels

Sub-Saharan Africa (SSA) has recently experienced an increase in infrastructure endowments. Meanwhile, Africa's ecological reserves have rapidly been degrading. This study assessed: (i) how different types of infrastructure have affected ecological footprints and (ii) how agricultural production, urbanisation, and human capital have mitigated these effects. Among the variables we utilize to reach our objectives are ecological footprint, infrastructure, ICT index, education index, urbanization, agriculture, trade, renewable energy consumption, and institutional quality. Based on the findings of the system GMM methodology for 39 SSA economies between 2004 and 2020, environmental degradation has been aggravated in the region due to infrastructure development. Infrastructure development indexes of different types have produced the same results. In addition, while urbanisation has tended to weaken the harmful effects of expanding access to; water, sanitation, and ICT infrastructure, it strengthened the same effect for electricity and transportation infrastructure. It was also determined that human capital amplified the harmful effects of electricity generation and ICT infrastructure on the environment. In addition, agricultural production weakened the negative environmental effects of ICT. In light of the study's findings, practical policy implications have been discussed.

Integrating complete disassembly planning with deconstructability assessment to facilitate designing deconstructable buildings

ABSTRACT As one of the most resource-intensive sectors, the building industry has a significant role in environmental degradation and global emissions. Deconstruction can highly enhance resource efficiency by closing materials loops and enabling a circular economy model as a sustainable and environmentally friendly paradigm. This study presents an integrated method for complete disassembly planning and deconstructability assessment (DA) as a novel strategy to facilitate designing deconstructable buildings. The asynchronous parallel disassembly planning (aPDP) approach from the manufacturing industry is utilized to develop a complete disassembly planning method for building assemblies. This is the first study on the complete disassembly planning of buildings in which both sequential and parallel modes are supported. Moreover, a new DA approach based on the environmental impact (i.e. the global warming potential) of components is devised to show the deconstructability percentage. The method can create valid and feasible complete disassembly plans, and the higher complexity does not decrease its performance. Besides, the DA approach is able to raise environmental awareness and draw more attention to the profound implications of the material selection procedure. The method's provided information can assist decision-makers in designing buildings with a higher deconstructability degree by enriching the deconstruction plan, reducing the lack of disassembly information, and enhancing decisions’ quality in DA.

Determinants of Foreign Direct Investment in ASEAN+3 Countries: The Role of Environmental Degradation.

Foreign direct investment (FDI) can boost economic growth and provide job opportunities. FDI inflows in ASEAN+3 countries have dropped markedly, which may affect economic development in the region. Many previous studies have investigated a multitude of factors that can influence FDI, such as market size, inflation, trade openness, corruption, and inflation. Previous studies did not, however, consider environmental degradation as a potential factor. Besides corruption and inflation, imposing stringent environmental regulations, such as carbon pricing and taxes to reduce environmental degradation, might deter foreign investors from the country. This is due to heightened costs for foreign investors, which may cause FDI inflows to drop. To shed some light on the reality of this situation, this study examines whether environmental degradation can significantly affect foreign direct investment in the region. This study includes environmental degradation as a potential factor and employs the panel ARDL approach to analyse data from 1995 to 2019. Results show that environmental degradation, infrastructure, and corruption can affect the inflow of FDI in the long run. In the short run, inflation can affect FDI. The findings of this study can be utilized by policymakers in formulating the right policies to attract more investors. An increase in infrastructure facilities should be considered to attract more foreign investment. It is also vital for governments to reduce corruption and inflation to attract more FDI inflows. Environmental incentives should also be introduced to ensure that attempts to reduce environmental degradation do not affect FDI inflows.

Community Dependency and Vulnerability to Natural Resources: Case Study Mount Geulis University Forest

Mount Geulis University Forest (MGUF) is a university forest area surrounded by eight villages and has close relationships with the surrounding community. With a very strategic position, MGUF is vulnerable to various pressures, especially anthropogenic ones. Other studies have shown that population, development, and the economy have an essential role in environmental degradation. Thus, understanding these three things becomes essential to determine the right strategy to reduce the level of vulnerability around MGUF. This study aims to analyze the level of community dependency on MGUF and the level of vulnerability of the community around MGUF. Community dependency was analyzed using perceived value dependency on livelihood, perceived value dependency on income, and perceived value dependency on participation level. Community vulnerability was analyzed based on the population growth index, built-up land index, and economic openness index. The results showed that the farmer community had a relatively high dependency on MGUF. The lower the income, the higher the dependency on MGUF, and the participation rate increases as the dependency on MGUF increases. Raharja Village has the highest population growth index of 123.75, Mangunarga Village has the highest built-up land index with a value of 75.11, and Jatimukti Village has the highest economic openness index with a value of 33.52. In general, the village with the highest composite vulnerability index is Cikahuripan Village, with a value of 0.71, and the lowest is Jatiroke, with a value of 0.20. Based on the value of the vulnerability index and the level of security, the level of vulnerability can be reduced by carrying out collaborative management to run programs with every stakeholder in the MGUF management system.

Do Urbanization and Energy Consumption Change the Role in Environmental Degradation in the European Union Countries?

Nowadays, increased urbanization is visible in most European Union countries. At the same time, it can be noticed that in the studied period (2000–2018), GDP per capita increased, and CO2 emissions per capita and energy consumption per capita decreased. These trends should be assessed in an unequivocally positive way. Considering these trends, especially with regard to economic development, our research goal is to answer the following questions: is there a long-run relationship between urbanization, energy consumption, economic growth, and carbon dioxide emissions, and what roles do urbanization and energy consumption play in the concept of the environmental Kuznets curve? This study aims to contribute to this growing area of research by exploring the European Union countries in the period covering the accession of new member states from Central Europe that needs intensifying European environmental policy. In order to test cointegration, we used Pedroni and Westerlund’s panel tests. To estimate the long-run coefficients, we employed the FMOLS, MG, CCEMG, and AMG tests. Our findings confirmed the long-run relationship between variables. We find that urbanization has a high negative impact on carbon dioxide emissions per capita. Interestingly, our studies’ results differ from those in most of the previously published articles about European countries. For this reason, our results provide a new insight for policymakers in European Union institutions.

A Composite Impact of Urbanization and Liberalization on Environmental Degradation in Developed and Developing Economies

Now a days, urbanization and liberalization play a crucial role in environmental degradation. However, the composite impact of urbanization and liberalization on environmental degradation is missing in the existing literature. To cover this gap, the current study used the annual panel dataset of 103 developed and developing countries over the period from 1980 to 2018, to empirically investigates the composite impact of urbanization and liberalization on environmental degradation. For estimation purposes, this study employed the fixed, Random effect, Least Square Dummy Variables (LSDV), and 2SLS approach. The study results indicate that the composite impact of globalization and urbanization have a positive effect on CO2 emissions in developed economies, which explains that globalization speeds up urbanization with increasing carbon emissions. Furthermore, the results show that globalization is linked to urbanization through trade, economic growth, capital-labor ratio, and financial integration in developing economies by reducing the environmental quality. Based on estimates results, the current study recommends that a comprehensive policy is required for urban improvement and for the creation of smart cities to decrease the urbanization influence on environmental pollution.

Price sensitivity, government green interventions, and green product availability triggers intention toward buying green products

AbstractIn the 21st century, environmental problems are wreaking havoc, and sustainability is now of primary importance. Several external factors like population growth, industrialization, development, and overexploitation of natural resources play a crucial role in environmental degradation. Thus, the present study endeavors to explore the impact of price sensitivity, governments green interventions and green product availability on green buying intention through the lenses of the theory of planned behavior and the theory of consumption values. It also intends to examine the moderating effect of demographic factors on green buying intention. A cross‐sectional study was carried out. Responses were gathered through a self‐administered questionnaire‐based survey. The final data set of 708 respondents were subjected to structural equation modeling for hypothesis testing. Price sensitivity, government green interventions, and green product availability show negative and significant interaction effects. Perceived behavioral control shows a relatively more substantial impact on green buying intention. Indian consumers from the age group of 41–50 years relatively have higher intention toward green buying. Overall, gender does not reveal any different approaches to environmentally friendly products. Green marketers must focus on communicating the availability of green products to reduce perceived difficulty.

Assessing the Influence of Financial Inclusion on Environmental Degradation in the ASEAN Region through the Panel PMG-ARDL Approach

The rise of financial inclusion in recent years has attracted the attention of environmental economists to assess its role in environmental degradation. Therefore, this study was carried out with the aim of exploring the impact of financial inclusion on environmental degradation in the ASEAN region using balanced panel data for the period 2000–2019. First, panel unit root tests were employed to examine each data series for stationarity. Findings of the panel unit root tests depicted that all data series are stationary at the first difference. Second, Westerlund and Edgerton’s error correction panel cointegration test was employed to handle heterogeneity and cross-sectional dependence. Third, the PMG-ARDL approach was used to explore the long- and short-term effects of financial inclusion on environmental degradation. Findings of the PMG-ARDL found that financial inclusion, energy use, economic growth and urbanization are causing environmental degradation in the ASEAN region. Furthermore, the financial inclusion coefficient is 0.15, which is statistically significant at 5%. In the short run, a 1% increase in financial inclusion results in a 0.15% increase in environmental degradation, ceteris paribus. In the long run, financial inclusion and CO2 have a positive association that is statistically significant at 5% and has a coefficient value of 0.42. This implies that a 1% increase in financial inclusion results in a 0.42% increase in environmental degradation in the long run. Finally, this study recommends that financial inclusion must be incorporated into climate change adaptation efforts at the local, national and regional levels to address the side effects of increased CO2 emissions.

Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation

Plastic bottle recycling has a crucial role in environmental degradation and protection. Position and background should be the same to classify plastic bottles on a conveyor belt. The manual detection of plastic bottles is time consuming and leads to human error. Hence, the automatic classification of plastic bottles using deep learning techniques can assist with the more accurate results and reduce cost. To achieve a considerably good result using the DL model, we need a large volume of data to train. We propose a GAN-based model to generate synthetic images similar to the original. To improve the image synthesis quality with less training time and decrease the chances of mode collapse, we propose a modified lightweight-GAN model, which consists of a generator and a discriminator with an auto-encoding feature to capture essential parts of the input image and to encourage the generator to produce a wide range of real data. Then a newly designed weighted average ensemble model based on two pre-trained models, inceptionV3 and xception, to classify transparent plastic bottles obtains an improved classification accuracy of 99.06%.

Role of Environmental Degradation, Institutional Quality, and Government Health Expenditures for Human Health: Evidence From Emerging Seven Countries.

The current study investigates the association of various economic, non-economic, governance, and environmental indicators on human health for seven emerging economies. Covering the period from 2000Q1 to 2018Q1, this study uses various panel data approaches for empirical estimations. The data is found first-order stationary. Besides, the panel slope is heterogeneous and cross-sectional dependence is present. Further, the cointegration association is found valid among the variables. Therefore, panel quantile regression is used to determine the long-run impact of each explanatory variable on human health at four quantiles (Q25, Q50, Q75, and Q90). The estimated results asserted that economic growth, government health expenditure, and human capital significantly reduce human health disasters like malaria incidences and cases. At the same time, greenhouse gas emissions and regulatory quality are significantly and positively correlated to human health issues in emerging economies. Moreover, mixed (unidirectional and bidirectional) causal associations exist between the variables. This study also provides relevant policy implications based on the empirical results, providing a path for regulating various economic, environmental, and governance sectors. Effective policy implementation and preventive measures can reduce the spread of diseases and mortality rates due to Malaria.

Do energy consumption, urbanization, and industrialization play a role in environmental degradation in the case of Saudi Arabia?

This study tries to explore empirically the nature of the link among energy consumption, environmental degradation, trade, industrialization, urbanization, and economic growth concerning the Kingdom of Saudi Arabia's economy for a time series of data spanning from 1971 to 2019. To investigate the cointegration, the long-run relationship, and to decide the direction of causality we apply the Autoregressive Distributed Lag and the Vector Error Correction Model technologies. Our empirical findings reveal that a rise in energy consumption and environmental degradation increases economic growth; however, energy has a significant contribution to the deteriorating environment. Besides, results show the presence of a feedback effect in the long-run among the different variables. In the short-run, energy use, trade, and urbanization, Granger causes economic growth; while growth, environment, industrialization, and urbanization Granger causes energy consumption. The Saudi policymakers must consider the leading role played by trade, urbanization, and industrialization in improving economic growth and harming environmental quality by launching efficient energy policies.

Role of environmental degradation and energy use for agricultural economic growth: Sustainable implications based on ARDL estimation

The purpose of this study is to explain factors driving the agricultural economic growth (AEG) in China by evaluating effects of oil consumption (OILC), electricity consumption (ELC), gas consumption (GASC), CO2 emission, and agricultural export (AGExp) on AEG of China. The time series data of 35 years for China has been collected over the time from 1985 to 2019. On time series data, “auto regressive distributed lag” (ARDL) modeling has been performed to assess short-term and long-term relationships of determinants of AEG with agricultural economic growth. Results of this study have revealed that CO2 emissions, AGExp, OILC, and GASC have significant effects on AEG in China in long run but ELC does not have any significant effects on AEG in China in long run. Results of short-term effects revealed that OILC and GASC have significant effects on AEG in China in short run but ELC, CO2, and AGExp do not have any significant effects on AEG in China in short run. The current research draws useful implications for policymakers of China by recommending them how they can enhance AEG and boost their agricultural sector by encouraging energy consumptions and export of agricultural products in the sector. Existing literature demonstrates the lack of empirical evidence, harmonized results, and sufficient insights about OILC-AEG, ELC-AEG, and GASC-AEG nexus so, this paper shortens this gap in the literature by explaining these factors of AEG of China the first time through ARDL modeling.

FACTORS IMPACT ON POPULATION AND ENVIRONMENT IN BANGLADESH AND INDIA

Population growth and trends are centrally important to the environment because it helps to determine the environmental impact of human activities. In this study, the World Bank database has been used. Here, carbon dioxide (CO2) emissions, and energy intensity (EI) are considered as environmental indicators. The population indicators are the proportion of the population aged 15-64 years, and the percentage of the urban population. The Gross Domestic Product (GDP) is considered a development indicator in a country. This study tries to identify the association between population environment and development. Correlation analysis has been employed to know association and Path analysis is used to determine the important factors for environmental impacts such as carbon dioxide (CO2) emissions. The result presents that the zero-order correlation exists among energy intensity (EI), the proportion of the population aged 15-64 (P15-64), urbanization (UR), gross domestic product (GDP) per capita (US$), total population (P) ) and carbon dioxide (CO2) emission in Bangladesh and India. It is observed that 8 paths for Bangladesh and 7 paths for India out of each 12 hypothesized paths are found to be statistically significant. In Bangladesh, the total effects of exogenous variables like as energy intensity (X1) and population aged 15-64 (X2) are observed negative direction on carbon dioxide emissions (X6) and the remaining variable like as urbanization (X3) is observed as positive direction on carbon dioxide emissions. However, in India total effects of these two exogenous variables population aged 15-64 (X2) and urbanization (X3) are observed positive direction on carbon dioxide emissions (X6) and the remaining variable like as energy intensity (X1) is observed negative direction on carbon dioxide emissions (X6). The total effects of endogenous variables like as GDP per capita (X4) show a negative direction on carbon dioxide emissions and population (X5) shows a positive direction on carbon dioxide emissions. The study demonstrates that CO2 emission is important for environmental impact in Bangladesh and India. There is a strong association between population, GDP per capita, energy consumption and urbanization and CO2 emission in Bangladesh and India. The factors of CO2 emissions play an important role in environmental degradation. Thus, attention should be focused on using low energy consumption, and proper urbanization, particularly on modern technology which assures fewer uses of CO2 emissions in Bangladesh and India.

From the Frying Pan into the Fire? Climate Change, Urbanization and (In)Security in Pacific Island Countries and Territories

Most Pacific Island Countries and Territories (PICTs) have experienced urban population growth for some time although the rates vary across the region. The drivers have traditionally been economic and social although the role of environmental degradation has been largely overlooked. As the populations of towns and cities have grown in PICTs, urban population densities have increased and available land for expansion has been restricted. Accordingly, many urban migrants live in informal peri urban settlements with little or no land security and limited government services such as sanitation, water supply and electricity. Employment is difficult to find and there are significant amounts of poverty. In this context there are high levels of individual and human insecurity and crimes including violence are often attributed to these problems. In some countries land related violence in urban areas has escalated into major conflicts. More recently climate change has been seen as an additional driver of urbanization and its role is expected to increase, although separating the social, economic and climate change causes is extremely difficult if not impossible. Already some communities have been relocated in several countries and some individual or family migration has been attributed to deteriorating human (land, livelihood, and habitat) security caused by climate change in rural areas. Because in most PICTs there are few alternatives, urban areas are likely to be the destinations for many climate change migrants and urbanization rates can be expected to further increase. Moreover, as options for settlement in peri urban areas lessen and numbers grow, more migrants are likely to find themselves occupying densely populated and increasingly environmentally marginal areas (such as steep and unstable slopes, river flood plains and low-lying coastal areas) that may be as exposed as their original homes. At the same time many of the migrants may be facing increasing social and economic insecurity related to urban living.

Particle Retention Capacity, Efficiency, and Mechanism of Selected Plant Species: Implications for Urban Planting for Improving Urban Air Quality.

Atmospheric particulate matter (PM) has been of concern owing to its negative effects on human health and its role in environmental degradation. For mitigation purposes, it is important to select the most efficient plant species in urban greening. Here, a fast, cost-saving methodology was first added to the conventional method to investigate the size-resolved PM retention capacity and efficiency of twenty plant species. Surface PM (SPM), which can be removed by water and brushing, accounted for 44.9–66.9% of total PM, in which the water-soluble PM (DPM) accounted for 12.9–22.1% of total PM. A large mass proportion of in-wax PM (14.1–31.7%) was also observed. Platycladus orientalis, Eriobotrya japonica, Viburnum odoratissimum, Magnolia grandiflora had the highest AEleaf (retention efficiency on per unit leaf area) to retain SPM within different diameter classes (DPM, PM0.1–2.5, PM2.5–10, PM>10). AEplant (retention efficiency of individual tree) varied greatly among different plant species, mainly due to the dependence on the total area of a tree. AEland (retention efficiency on per unit green area) is a suitable index for PM retention ability and efficiency. In general, P. orientalis, V. odoratissimum, Pittosporum tobira, Photinia serrulate, M. grandiflora, E. japonica were the efficient species in retaining PM at different scales (i.e., leaf, individual tree, green area). The species like Trifolium repens, Phyllostachys viridis, were the least efficient plant species. The investigated species are all evergreen species, which will remove PM throughout the whole year, even in winter. So, we recommended that the plant species with the highest PM retention efficiency can be used in urban greening. Meanwhile, horticulture practices should also be considered to improve the leaf area index to improve their PM retention and air purification abilities.

The effect of technological innovation, FDI, and financial development on CO2 emission: evidence from the G8 countries.

The nexus of foreign direct investment and economic growth has been extensively investigated by the researchers of environmental economics; however, few studies have been conducted to find the impact of financial development and technological innovation in the backdrop of the environment. In the G8 countries (UK, USA, Canada, Germany, France, Italy Russia, Japan), the rapid increase in urbanization resulting from their speedy economic growth has brought about a huge increase in energy consumption that is in turn responsible for contemporary environmental degradation. This research intends to find the impact of technological innovation, financial development, foreign direct investment, energy use, and urbanization on carbon emission in G8 member countries, based on data from 1990 to 2019. The findings present strong cross-sectional dependence within the panel countries. According to the FMLOS estimator, a statistically significant long-run and negative association with CO2 has been found between foreign direct investment, financial development, and technological innovation in G8 countries. A long-run bidirectional causality has been found among economic growth, financial development, urbanization, trade openness, CO2 emission, and energy use; antithetically there is unidirectional causality between carbon emission and foreign direct investment. A quality foreign direct investment is the present demand for the development of industries, technological innovation, and financial development for G8 countries. Furthermore, urbanization plays a major role in environmental degradation, and more improved policies are needed for these countries.

Halogen Enrichment of Siberian Traps Magmas During Interaction With Evaporites

Volatile emissions to the atmosphere associated with the Siberian Traps eruptions at the Permian-Triassic boundary were sourced from the outgassing of primary magmas and the sedimentary host rocks into which they were intruded. Halogens in volcanic gases may have played an important role in environmental degradation and in stratospheric ozone destruction. Here we investigate how halogens behave during the interaction between salts and basalt magma emplaced as sills and erupted as lava. We present whole-rock, trace, and halogen concentrations for a suite of samples from three locations in the Siberian Traps Large Igneous Province, including basalt lavas erupted, and dolerites intruded into both organic-bearing shales and evaporites. Dolerites are enriched in Cl, Br, and I; their enrichment in Cl is similar to MORB and OIB that have been inferred to have assimilated seawater. The dolerites exhibit halogen compositional systematics, which extend towards both evaporites and crustal brines. Furthermore, all analyzed samples show enrichment in Rb/Nb; with the dolerites also showing enrichment in Cl/K similar to MORB and OIB that have been inferred to have assimilated seawater. We infer that samples from all three locations have assimilated fluids derived from evaporites, which are components of crustal sedimentary rocks. We show that up to 89% of the chlorine in the dolerites may have been assimilated as a consequence of the contact metamorphism of evaporites. We show, by thermal modeling, that halogen transfer may occur via assimilation of a brine phase derived from heating evaporites. Halogen assimilation from subcropping evaporites may be pervasive in the Siberian Traps Large Igneous Province and is expected to have enhanced emissions of Cl and Br into the atmosphere from both intrusive and extrusive magmatism.