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Real Time Monitoring of Air Pollution using AI based IoT and novel SARIMA technique in Sivakasi-Tamil Nadu

by Nirmalan R. Thendral P. Karkuzhali S. Satish C.J.

Issue 9

Air Quality

Air pollution, a harmful or excessive quantity of pollutants from natural sources and human activities, poses risks to human health, the environment, and ecosystems. AI breakthroughs have allowed for the incorporation of technologies into performance indices, resulting in the development of an AI...

air pollution motion response +2 more
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Do Technological Innovation and Environmental Regulation Reduce Carbon Dioxide Emissions? Evidence from China

by Zou F. Ma S. Liu H. Gao T. Li W.

Issue 7

Ecology, environmental change and management

The Chinese industry holds a significant position in the national economy. However, industrial carbon dioxide (CO 2) emissions account for a large proportion of the total CO 2 emissions, which has a negative impact on the environment. To identify the factors affecting industrial CO 2 emissions, a...

Technology innovation environmental regulation +3 more
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Time Series Models of Monthly Rainfall and Temperature to Detect Climate Change for Jorhat (Assam), India

by

Dabral, P. P. et al. View all

Issue 3

Climate Change Impacts and Societal Adaptation in the Indian Subcontinent

In the present study, monthly rainfall, maximum temperature and minimum time series models were developed for Jorhat (Assam) situated in northeast India using monthly rainfall, maximum temperature and minimum temperature data from the year 1965 to 2000. A trend free time series of rainfall and...

Time series rainfall +3 more
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A novel approach to fault detection and diagnosis on wind turbines

by

Raúl Ruiz de la Hermosa González-Carrato et al. View all

Issue 6

E2KW 2013

The structure of the wind turbines nowadays is a critical element due to their importance from the reliability, availability, safety, and cost points of view. This is more relevant when the offshore wind turbine is considered. This paper introduces a novel design of a Fault Detection and Diagnosis...

Signal processing transfer function +5 more
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A Hybrid Stochastic-ANN Approach for Flow Partitioning in the Okavango Delta of Botswana

by

Piet K. Kenabatho et al. View all

Issue 1

Water Resources Management

Since a spectrum of hydrological and geomorphological conditions produce flood pulse environment in a riverine or a deltaic system, it is essential to have the knowledge on spatial and temporal distributions of river flow and dependent processes for environmental flow requirements, ecosystem...

Artificial Neural Network Autoregressive Integrated Moving Average +2 more
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Kalman filter based prediction system for wintertime PM10 concentrations in Macau

by

Hoi K.I., Yuen K.V. and Mok K.M.

Issue 2

General

In the present study, the Kalman filter algorithm was applied to forecast the wintertime PM10 concentrations of Macau. The algorithm was implemented on an AR(2) model and an AREX model, respectively. The AR(2) model is essentially an autoregressive model of order 2, i.e., the daily averaged PM10...

Air quality prediction Kalman Filter +2 more
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Multivariate stochastic downscaling models for generating precipitation and temperature scenarios of climate change based on atmospheric circulation

by

Panagoulia D., Bardossy A. and Lourmas G.

Issue 2

General

The spatial resolution of General Circulation Models (GCMs) is too coarse to represent regional climate changes at the scales required for environmental impact assessment. Therefore, downscaling of precipitation and temperature has to be carried out from the GCM grids to smaller scales of a few...

atmospheric circulation automated objective classification +6 more
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Optimizing the performance of Kalman filter based statistical time-varying air quality models

by

Hoi K.I., Yuen K.V. and Mok K.M.

Issue 1

General

In this study, the Bayesian approach is proposed to estimate the noise variances of Kalman filter based statistical models for predicting the daily averaged PM10 concentrations of a typical coastal city, Macau, with Latitude 22°10’N and Longitude 113°34’E. By using the measurements in 2001 and 2002...

Bayesian inference Kalman Filter +3 more
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