Forecasting solar radiation has recently become the focus of numerous researchers due to the growing interest in green energy. This study aims to develop a seasonal auto-regressive integrated moving average (SARIMA) model to predict the daily and monthly solar radiation in Seoul, South Korea based on the hourly solar radiation data obtained from the Korean Meteorological Administration over 37 years (1981–2017). The goodness of fit of the model was tested against standardized residuals, the autocorrelation function, and the partial autocorrelation function for residuals. Then, model performance was compared with Monte Carlo simulations by using root mean square errors and coefficient of determination (R²) for evaluation. In addition, forecasting was conducted by using the best models with historical data on average monthly and daily solar radiation. The contributions of this study can be summarized as follows: (i) a time series SARIMA model is implemented to forecast the daily and monthly solar radiation of Seoul, South Korea in consideration of the accuracy, suitability, adequacy, and timeliness of the collected data; (ii) the reliability, accuracy, suitability, and performance of the model are investigated relative to those of established tests, standardized residual, autocorrelation function (ACF), and partial autocorrelation function (PACF), and the results are compared with those forecasted by the Monte Carlo method; and (iii) the trend of monthly solar radiation in Seoul for the coming years is analyzed and compared on the basis of the solar radiation data obtained from KMS over 37 years. The results indicate that (1,1,2) the ARIMA model can be used to represent daily solar radiation, while the seasonal ARIMA (4,1,1) of 12 lags for both auto-regressive and moving average parts can be used to represent monthly solar radiation. According to the findings, the expected average monthly solar radiation ranges from 176 to 377 Wh/m².

Migration of methane ($CH_4$) gas from landfills to the surrounding environment negatively affects both humankind and the environment. It is therefore essential to develop management techniques to reduce $CH_4$ emissions from landfills to minimize global warming and to reduce the human risks associated with $CH_4$ gas migration. Oxidation of $CH_4$ in landfill cover soil is the most important strategy for $CH_ 4$ emissions mitigation. $CH_4$ oxidation occurs naturally in landfill cover soils due to the abundance of methanotrophic bacteria. However, the activities of these bacteria are influenced by several controlling factors. This study attempts to review the important issues associated with the $CH_4$ oxidation process in landfill cover soils. The $CH_4$ oxidation process is highly sensitive to environmental factors and cover soil properties. The comparison of various biotic system techniques indicated that each technique has unique advantages and disadvantages, and the choice of the best technique for a specific application depends on economic constraints, treatment efficiency and landfill operations.

Rapid economic development and urbanization has caused rapid increase of waste generation worldwide. The Municipal Solid Waste (MSW) generation is expected to double by 2025. This rapid increase needs to be tackled to reduce the generation rates along with the environmental impacts it imposes. Disposal of waste in landfills results in the generation of huge amounts of Greenhouse Gases (GHG), negative impacts on human health, air and water pollution. Solid waste generation increments, rising demand for energy and preservation of fossil fuels, caused an increase in the popularity of Waste-to-Energy (WTE) technologies as the solution for waste managing problems and energy demands. Waste-to-Energy technologies convert the waste into energy and minimize the amount of waste sent to landfills. The aim of this paper is to present the process and specific aspects of WTE technologies along with their advantages and disadvantages. It illustrates that the waste and process must be closely matched to achieve proper conversion of waste and better efficiency of a WTE technology. This study also highlighted some thermochemical WTE facilities which can recover both energy and materials from waste. The continuous developments being made in process efficiency and process control of WTE facilities are expected to enhance the commercial feasibility of these conversion processes in the near future.