Log in

Relevant bibliographies by topics / Forecasting environmental pollution

Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'Forecasting environmental pollution'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Forecasting environmental pollution.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Forecasting environmental pollution"

1

CHERENKEVYCH, O. "Projections of Environmental Pollution in Ukraine." Scientific Bulletin of the National Academy of Statistics, Accounting and Audit, no. 3 (December 22, 2020): 28–37. http://dx.doi.org/10.31767/nasoa.3-2020.03.

Full text

Abstract:

The balanced environmentally sustainable economic development of Ukraine can be achieved by increasing the efficiency of the nature protection efforts, which requires the improved methods for assessment, modeling and forecasting of environmental performance and environmental pollution indicators. The article’s objective is to make a statistical forecasting of environmental pollution indicators in Ukraine, to outline the areas of nature protection work in this country. Air pollution, water pollution and hazardous wastes in Ukraine are forecasted considering the main factors of influence, select

APA, Harvard, Vancouver, ISO, and other styles

2

Olascoaga, M. J., and G. Haller. "Forecasting sudden changes in environmental pollution patterns." Proceedings of the National Academy of Sciences 109, no. 13 (2012): 4738–43. http://dx.doi.org/10.1073/pnas.1118574109.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

He, Yuanfang. "Development of a trend forecasting model for environmental pollution monitoring." Management of Development of Complex Systems, no. 57 (March 29, 2024): 62–66. http://dx.doi.org/10.32347/2412-9933.2024.57.62-66.

Full text

Abstract:

A complex model for forecasting time series of environmental pollution indicators is described, considering the aggregation of various forecasting models, which are formed based on predictive statistical analysis of pollution indicators and have an adaptive nature. The model differs from known models by providing the possibility of adapting the model parameters to changes in the state of the environment, which is especially important in the conditions of using such models in monitoring systems. Th e complex forecasting model includes higher-order exponential smoothing, Holt, Winters, moving av

APA, Harvard, Vancouver, ISO, and other styles

4

Alwan, Asraa, shasho T., Waleed Rodeen, and Hindreen Tahir. "Forecasting the Impact of Waste on Environmental Pollution." International Journal of Scientific Research and Sustainable Development 1, no. 1 (2018): 1–12. http://dx.doi.org/10.21608/ijsrsd.2018.5142.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Radaev, Anton, and Elena Korneeva. "Method for forecasting pollution of urban areas." E3S Web of Conferences 140 (2019): 09005. http://dx.doi.org/10.1051/e3sconf/201914009005.

Full text

Abstract:

A model for substantiating the parameters of regression models for a comprehensive indicator of environmental pollution has been developed. A distinctive feature is the separate consideration of the influence of factors of the natural and industrial environment, as well as the linear nature of the interaction of nonlinear variables. The resulting model will allow us to analyze the current state of the environment depending on the quantity and quality of environmental indicators, and also identify critical changes in it. In the urban development industry, this model will help in planning the po

APA, Harvard, Vancouver, ISO, and other styles

6

Majeed, Dilovan Asaad, Hawar Bahzad Ahmad, Ahmed Alaa Hani, et al. "DATA ANALYSIS AND MACHINE LEARNING APPLICATIONS IN ENVIRONMENTAL MANAGEMENT." Jurnal Ilmiah Ilmu Terapan Universitas Jambi 8, no. 2 (2024): 398–408. http://dx.doi.org/10.22437/jiituj.v8i2.32769.

Full text

Abstract:

The rapid expansion of data on air contaminants and climate change, particularly concerning public health, presents both opportunities and challenges for traditional epidemiological methods. This study aims to address these challenges by exploring advanced data collection, pattern identification, and predictive modeling techniques in the context of air pollution research. The focus is leveraging data mining and computational methods to enhance the understanding of air pollution's impact on public health, specifically ozone exposure. A comprehensive review of the scientific literature was condu

APA, Harvard, Vancouver, ISO, and other styles

7

Domańska, D., and M. Wojtylak. "Explorative forecasting of air pollution." Atmospheric Environment 92 (August 2014): 19–30. http://dx.doi.org/10.1016/j.atmosenv.2014.03.041.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Basok, Boris. "The energy sector and environmental pollution." Visnik Nacional'noi' academii' nauk Ukrai'ni, no. 3 (March 2022): 30–36. http://dx.doi.org/10.15407/visn2022.03.030.

Full text

Abstract:

The report examines the historical and forecasting aspects of global warming, the structure and dynamics of greenhouse gas emissions and emissions of hazardous gases in Ukraine. The main provisions of the Strategy for Environmental Safety and Adaptation to Climate Change until 2030, as well as the National Plan for Reducing Emissions from Large Combustion Plants until 2033 are analyzed. Data on the dynamics of primary and final energy use, on the amount of global investments in energy efficiency, as well as data on energy efficiency of primary energy resources and the degree of carbon content

APA, Harvard, Vancouver, ISO, and other styles

9

Guruprasath.I, Vasanth.R, Vishnuvarthan.S, Deglus Jovin, V. Gopika., and M. Kirubadevi. "Air Pollution Forecasting using Data Mining Technique." International Journal of Innovative Science and Research Technology 7, no. 2 (2022): 418–22. https://doi.org/10.5281/zenodo.6331287.

Full text

Abstract:

Air pollution is one of the foremost hazards of environmental pollution. None of the living effects will survive while not having similar air. still, as a result of buses, agrarian conditioning, manufactories and diligence, mining conditioning, burning of fossil energies our air is carrying impure. This conditioning unfolds contaminant, gas, monoxide, particulate adulterants in our air that are dangerous for all living organisms. The air we tend to breathe each moment causes numerous health problems. thus, we want an honest system that predicts similar profanations and is useful in an advanced

APA, Harvard, Vancouver, ISO, and other styles

10

Bashirov, M. G., R. G. Vildanov, A. M. Khafizov, A. S. Khismatullin, and D. S. Akchurin. "Forecasting Prevention of Air Pollution Using Aan Intelligent Environmental System." Ecology and Industry of Russia 28, no. 1 (2024): 16–21. http://dx.doi.org/10.18412/1816-0395-2024-1-16-21.

Full text

Abstract:

The article deals with the actual problem of atmospheric air pollution with technogenic chemicals that negatively affect the ecology of the Salavat air basin of the Republic of Bashkortostan. An intelligent environmental monitoring system is proposed, which is able to give an integral assessment of the state of the city's air basin, identify sources of increased air pollution, process information using an artificial neural network in online mode, and also develop recommendations for enterprises to optimize their operating mode.

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Forecasting environmental pollution"

1

Chapman, Matthew. "Spatial forecasting of air pollution in urban environments : a geographical information system approach." Thesis, University of Brighton, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271974.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Song, Ji Hee. "Land use forecasting in regional air quality modeling." Thesis, 2007. http://hdl.handle.net/2152/3036.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Song, Ji Hee 1980. "Land use forecasting in regional air quality modeling." 2007. http://hdl.handle.net/2152/13209.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Forecasting environmental pollution"

1

Strel'nikov, Viktor, and Natal'ya Chernysheva. Analysis and forecast of environmental pollution. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1030338.

Full text

Abstract:

The proposed textbook deals with various aspects of the analysis, prediction and evaluation of various types of impacts on the environment. It is intended to provide future ecologists with an idea of the main types of habitats of living organisms, the main types of impacts on environmental components, methods of sampling in different environments, as well as their analysis. The basic concepts of environmental impact assessment on environmental components, environmental forecasting and modeling are analyzed. For undergraduate students of higher educational institutions in the field of "Ec

APA, Harvard, Vancouver, ISO, and other styles

2

Austin, Jill, 1953 Mar. 24-, Brimblecombe Peter 1949-, and Sturges W. T, eds. Air pollution science for the 2lst century. Elsevier, 2002.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Johnstone, Nick. Modelling passenger demand, energy consumption and pollution emissions in thetransport sector. Department of Applied Economics, University of Cambridge, 1995.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Bates, Robin W. Alternative policies for the control of air pollution in Poland. World Bank, 1994.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Knapp, C. M. Maryland synoptic stream chemistry survey: Estimating the number and distribution of streams affected by or at risk from acidification. PPRP, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Morita, Tsuneyuji. 21-seiki shotō no waga kuni no kankyō mondai: Kairyō Derufai-hō ni yoru yosoku / Morita Tsuneyuki, Kainuma Mikiko = Japan's environmental problems in the early part of the 21st century : a forecasting by means of improved Delphi mehthod / Tsuneyuki Morita & Mikio Kainuma. Kankyōchō Kokuritsu Kōgai Kenkyūjo, 1989.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Office, General Accounting. Groundwater protection: The use of drinking water standards by the states : report to the chairman, Subcommittee on Hazardous Wastes and Toxic Substances, Committee on Environment and Public Works, U.S. Senate. The Office, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Office, General Accounting. Groundwater protection: Validity and feasibility of EPA's differential protection strategy : report to the chairman, Subcomittee on Superfund, Ocean and Water Protection, Committee on Environment and Public Works, U.S. Senate. The Office, 1992.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Office, General Accounting. Groundwater protection: The use of drinking water standards by the states : report to the chairman, Subcommittee on Hazardous Wastes and Toxic Substances, Committee on Environment and Public Works, U.S. Senate. The Office, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Garrett, Mark. Transportation planning on trial: The Clean Air Act and travel forecasting. Sage Publications, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

Book chapters on the topic "Forecasting environmental pollution"

1

Chen, Wang-Kun, and Ping Wang. "Fuzzy Forecasting with Fractal Analysis for the Time Series of Environmental Pollution." In Time Series Analysis, Modeling and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33439-9_9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Whitehead, P. G. "Monitoring Requirements for Water Quality Modelling, Forecasting and Control." In Regional Approaches to Water Pollution in the Environment. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0345-6_4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

José, R. San, M. A. Rodriguez, M. A. Arranz, I. Moreno, and R. M. González. "Advanced Operational Air Quality Forecasting Models for Urban and Regional Environments in Europe: Madrid Application." In Large Scale Computations in Air Pollution Modelling. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4570-1_25.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Kostyuchenko, Yuriy V., Yulia Stoyka, Iurii Negoda, and Ivan Kopachevsky. "Decision Making Under Deep Uncertainty With Fuzzy Algorithm in Framework of Multi-Model Approach." In Environmental Information Systems. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7033-2.ch020.

Full text

Abstract:

Task of soft computing for decision support in field of risk management is analyzed in this chapter. Multi-model approach is described. Interrelations between models, remote sensing data and forecasting are described. Method of water quality assessment using satellite observation is described. Method is based on analysis of spectral reflectance of aquifers. Correlations between reflectance and pollutions are quantified. Fuzzy logic based approach for decision support in field of water quality degradation risk is discussed. Decision on water quality is making based on fuzzy algorithm using limited set of uncertain parameters. It is shown that this algorithm allows estimate water quality degradation rate and pollution risks. Using proposed approach, maps of surface water pollution risk from point and diffuse sources are calculated. Conclusions concerned soft computing in risk management are proposed and discussed. It was demonstrated, that basing on spatially distributed measurement data, proposed approach allows to calculate risk parameters with resolution close to observations.

APA, Harvard, Vancouver, ISO, and other styles

5

Bekkar, Abdellatif, Badr Hssina, Samira Douzi, and Khadija Douzi. "Forecasting Ozone Levels in Morocco." In Advancements in Climate and Smart Environment Technology. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3807-0.ch002.

Full text

Abstract:

Ozone pollution poses a significant environmental and health challenge in Marrakech, Morocco, intensified by urban and industrial growth. This study compares two statistical models, SARIMA and Facebook Prophet, for accurate O3-level forecasting in Marrakech. Through time series analysis, we assess their performance using metrics like MAE, MAPE, and RMSE. The findings highlight the Facebook Prophet model's superior accuracy, attributed to its better handling of seasonality and adaptability to unusual events. This research aids environmental and public health efforts in Marrakech by offering insights into ozone trends, supporting informed policymaking to combat ozone pollution.

APA, Harvard, Vancouver, ISO, and other styles

6

Rani, Jyoti, Ramratan Guru, and Sakthivel Santhanam. "AI and Environmental Stewardship." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8034-5.ch028.

Full text

Abstract:

AI offers significant opportunities to reshape industries and corporate practices, addressing pressing societal issues like ecological sustainability. The decline of ecosystems and climate-related challenges require innovative solutions. This chapter posits that AI can foster culturally relevant organizational structures and personal behaviors that reduce energy and resource consumption. Research indicates that AI plays a crucial role in advancing sustainability across various sectors by enhancing resource efficiency in urban forestry and energy management. Utilizing neural networks and the internet of things (IoT) transforms processes while minimizing ecological impacts. However, AI's high energy consumption, ethical dilemmas, and inadequate infrastructure pose substantial challenges. Effective implementation of AI in sustainability initiatives necessitates collaboration with ethical and regulatory frameworks. AI proposes intelligent strategies for environmental protection through climate forecasting and pollution reduction.

APA, Harvard, Vancouver, ISO, and other styles

7

K. Hackenberger, Branimir, Tamara Djerdj, and Domagoj K. Hackenberger. "Advancing Environmental Monitoring through AI: Applications of R and Python." In Environmental Sciences. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1007683.

Full text

Abstract:

The integration of Large Language Models (LLMs), artificial intelligence (AI), and programming languages such as Python and R has revolutionized environmental monitoring. These technologies enhance data analysis, automate reporting, and improve communication among stakeholders, enabling more informed and timely decision-making. AI-driven tools facilitate a wide range of environmental monitoring activities, including pollution tracking, species conservation, and climate change analysis, by increasing the accuracy and speed of data processing. The predictive capabilities of AI are essential for forecasting environmental conditions and trends, supporting the development of effective policies and actions. Additionally, AI aids in regulatory compliance by continuously monitoring and analyzing real-time data, alerting authorities to potential violations. Community engagement is also enhanced as AI makes environmental data accessible and understandable, fostering greater public awareness and participation in conservation efforts. Despite these advancements, challenges such as data privacy, model bias, interpretability, and data quality must be addressed to fully leverage the potential of these technologies. As AI, Python, and R continue to evolve, their applications in environmental sciences are expected to significantly contribute to sustainable development and conservation efforts globally.

APA, Harvard, Vancouver, ISO, and other styles

8

Sprincean, Veaceslav, Arcadi Chirita, Liviu Leontie, et al. "Advanced Physical Technologies with the UVS Application in Environmental Security." In Monitoring and Protection of Critical Infrastructure by Unmanned Systems. IOS Press, 2023. http://dx.doi.org/10.3233/nicsp230008.

Full text

Abstract:

The NATO SPS Workshop (https://ephysimlab.usm.md/spsatcg5816/) on monitoring and protection of critical infrastructure by unmanned systems provided participants the opportunity to consider state-of-the-art ways of the use of Unmanned Vehicle Systems (UVS) and sensor network technology for threats monitoring of critical infrastructures. Also, sessions on the monitoring, data analysis and structural modelling, monitoring, and forecasting of natural catastrophes, as well as on the cybersecurity and protection of IT infrastructure were of special interests for students and experts working in the ICT field. We present a drone-based platform for the monitoring of air pollution with gaseous pollutants and solid microparticles, PM2.5 and PM10, as well as chemical and radiological contaminations. In addition, results on air pollution analysis for particulate matter including Atomic Force Microscopy (AFM) and Fluorescence Lifetime Imaging Microscopy (FLIM) are provided in this paper.

APA, Harvard, Vancouver, ISO, and other styles

9

Shirazi, Syed Ali Haider, Rafia Mumtaz, Khizar Imran, and Umer Amer Khan. "Air Sense." In Leveraging IoT and Machine Learning for Smart Urban Planning. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9030-6.ch005.

Full text

Abstract:

Air pollution is a significant public health concern in developing countries like Pakistan due to inadequate monitoring systems, poor enforcement of environmental regulations, and major pollution sources like vehicular emissions and industrial activities. This research project introduces innovative techniques tailored to Pakistani conditions. The project focuses on developing IoT devices with air quality sensors and GPS tracking, deployed on vehicles to monitor areas like markets and highways. Data collected is analyzed using machine learning for real-time air quality forecasting. The results will be displayed on a public website featuring heat maps, pollution level forecasts, and trends over time, aiming to provide accessible and actionable insights.

APA, Harvard, Vancouver, ISO, and other styles

10

Mobo, Froilan Delute, Ana Liza Reclozado Garcia, and Katarzyna Miłek. "Leveraging AI for Real-Time Environmental Monitoring." In Advances in Geospatial Technologies. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-8104-5.ch009.

Full text

Abstract:

Artificial Intelligence (AI) is transforming environmental monitoring by offering real-time, data-driven insights that can address critical ecological challenges such as deforestation, pollution, and biodiversity loss. Traditional methods, which rely on manual surveys and slow data collection processes, have proven inadequate for the fast-paced environmental crises of today. By leveraging AI tools such as machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP), environmental data can now be collected, analyzed, and acted upon in real-time. AI-driven innovations enable more accurate forecasting models, enhanced data collection through IoT sensor networks, and real-time decision-making in fields like precision agriculture, climate change mitigation, and wildlife conservation. This paper explores how AI-driven systems are revolutionizing environmental management by providing timely, actionable insights that support sustainability and ecological preservation.

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Forecasting environmental pollution"

1

Voronkova, Valentyna, Vitalina Nikitenko, Roman Oleksenko, Tetiana Kondratiuk�, Svetlana Rudakova, and Iryna Kolokolchykova. "ENVIRONMENTAL SAFETY IN THE DIGITAL AGE: SCIENTIFIC AND PRACTICAL ASPECTS OF IMPLEMENTING THE SUSTAINABLE DEVELOPMENT GOALS." In SGEM International Multidisciplinary Scientific GeoConference. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/6.2/s26.35.

Full text

Abstract:

The article aims to develop the concept of environmental safety as a science and practice in the digital era in accordance with the goals of sustainable development. The scientific novelty of the study lies in the analysis of the development of new models for predicting environmental risks based on machine learning and artificial intelligence algorithms. This includes forecasting climate change, air, water and other ecosystems pollution. Using the methods of systematic analysis and modelling of environmental safety as a complex social and economic phenomenon and a dynamic process, the article

APA, Harvard, Vancouver, ISO, and other styles

2

Kurban, Sena, Asli Yasmal, Oktay Samur, et al. "Future Forecasting of Dissolved Oxygen Concentration in Wastewater Treatment Plants using Deep Learning Techniques." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.137038.

Full text

Abstract:

Predicting water quality is essential for effective environmental management and pollution control. Dissolved oxygen (DO), one of key water quality parameters, plays a vital role in biological wastewater treatment [1]. This study aims to forecast DO levels in activated sludge tanks of an oil refinery�s wastewater treatment plant (WWTP). Proper oxygen concentration is critical for microbial activity, as inadequate levels can disrupt the biological breakdown of pollutants. The objective is to develop predictive models to identify operational risks early, enhancing treatment efficiency and optimi

APA, Harvard, Vancouver, ISO, and other styles

3

Blanco, Giacomo, Luca Barco, Lorenzo Innocenti, and Claudio Rossi. "Urban Air Pollution Forecasting: a Machine Learning Approach leveraging Satellite Observations and Meteorological Forecasts." In 2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv). IEEE, 2024. http://dx.doi.org/10.1109/metrolivenv60384.2024.10615605.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Biloshchytskyi, Andrii, Oleksandr Kuchanskyi, Yurii Andrashko, Alexandr Neftissov, Didar Yedilkhan, and Volodymyr Vatskel. "Models and methods for monitoring, air purification, and forecasting environmental pollution." In 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2023. http://dx.doi.org/10.1109/iccike58312.2023.10131775.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

ZHAO, Wei, Chun-li JIANG, Hong-jun SONG, Guang-qing ZENG, and Biao HAN. "Forecasting the pollution load of non-point sources to the Jiuzhou River." In The 2015 International Conference on Materials Engineering and Environmental Science (MEES2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814759984_0076.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Arsov, Mirche, Eftim Zdravevski, Petre Lameski, et al. "Short-term air pollution forecasting based on environmental factors and deep learning models." In 2020 Federated Conference on Computer Science and Information Systems. IEEE, 2020. http://dx.doi.org/10.15439/2020f211.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Bhattacharyya, Mayukh, Sayan Nag, and Udita Ghosh. "Deciphering Environmental Air Pollution with Large Scale City Data." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/698.

Full text

Abstract:

Air pollution poses a serious threat to sustainable environmental conditions in the 21st century. Its importance in determining the health and living standards in urban settings is only expected to increase with time. Various factors ranging from artificial emissions to natural phenomena are known to be primary causal agents or influencers behind rising air pollution levels. However, the lack of large scale data involving the major artificial and natural factors has hindered the research on the causes and relations governing the variability of the different air pollutants. Through this work, w

APA, Harvard, Vancouver, ISO, and other styles

8

Li Yunfeng, Hou Lili, Zhou Xun, and Wu Fan. "Artificial neural network model as a potential alternative for groundwater halogenated hydrocarbon pollution forecasting." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5892946.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Huang, Xindi, and Nadezhda Yudina. "MODELS DESCRIBING THE ENVIRONMENTAL EFFECTS OF POLLUTANT EMISSIONS BY ROAD TRANSPORT." In Modern aspects of modeling systems and processes. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2021. http://dx.doi.org/10.34220/mamsp_167-173.

Full text

Abstract:

Air pollution is the most serious environmental problem facing most industrial cities in the world and in China. The World Health Organization measured the concentration of sulfur dioxide, nitrogen dioxide and total suspended particulate matter in 272 cities in 53 countries around the world, listing the ten most severely polluted cities in the world. The spatial and temporal distribu-tion of air pollutants depends on various factors such as the meteorological field, the source of emissions, the complex bottom surface of the site, the interplay of physical and chemical processes, and has strong

APA, Harvard, Vancouver, ISO, and other styles

10

Wang, Qiang, Cheng-Shui Liu, and Wen-Yan Ji. "Self-Adjusting ANN Air Pollution Index Forecasting Models Based on Quality Control Charts — A Case Study." In 2015 International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2015). WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814723008_0036.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Forecasting environmental pollution"

1

Chung, Steve, Jaymin Kwon, and Yushin Ahn. Forecasting Commercial Vehicle Miles Traveled (VMT) in Urban California Areas. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2315.

Full text

Abstract:

This study investigates commercial truck vehicle miles traveled (VMT) across six diverse California counties from 2000 to 2020. The counties—Imperial, Los Angeles, Riverside, San Bernardino, San Diego, and San Francisco—represent a broad spectrum of California’s demographics, economies, and landscapes. Using a rich dataset spanning demographics, economics, and pollution variables, we aim to understand the factors influencing commercial VMT. We first visually represent the geographic distribution of the counties, highlighting their unique characteristics. Linear regression models, particularly

APA, Harvard, Vancouver, ISO, and other styles

2

Lu, Tianjun, Jian-yu Ke, Azure Fisher, Mahmoud Salari, Patricia Valladolid, and Fynnwin Prager. Should State Land in Southern California Be Allocated to Warehousing Goods or Housing People? Analyzing Transportation, Climate, and Unintended Consequences of Supply Chain Solutions. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2231.

Full text

Abstract:

In response to COVID-19 pandemic supply chain issues, the State of California issued Executive Order (EO) N-19-21 to use state land to increase warehousing capacity. This highlights a land-use paradox between economic and environmental goals: adding warehouse capacity increases climate pollution and traffic congestion around the ports and warehouses, while there is a deficit of affordable housing and high homeless rates in port-adjacent underserved communities. This study aims to inform regional policymakers and community stakeholders about these trade-offs by identifying current and future su

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!