Hybrid journal (It can contain Open Access articles) ISSN (Print) 1758-2083 - ISSN (Online) 1758-2091 Published by Inderscience Publishers[451 journals]
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Authors:Xinwei Liu, Dong Wei, Rong Li, Yicheng Wang, Na Liu, Deshuai Li Pages: 1 - 15 Abstract: As a key meteorological element in weather forecasts, precipitation forecast has attracted much attention in many application fields. Due to the limited accuracy of forecast methods, the effect of quantitative precipitation forecast still needs to be optimised. Based on the optimal percentile method, this study established a forecasting method by multi-model for graded precipitation fitting Northwest China. Its forecast threat score (TS) of every 3 h/24 h precipitation were higher than each single model. Meanwhile, its forecast was closer to the actual situation in terms of rainfall area and grade, especially displaying an obvious improvement in light rain and rainstorm forecast. By analysing the selection of the optimal percentile, it was found that this method adopted a low percentile value in light rain forecasts, and this value grew larger with the increase of precipitation grade, which helped to improve the accuracy and stability of the precipitation forecast. Keywords: precipitation forecast; graded precipitation; multi-model; optimal percentile; Northwest China; threat score Citation: International Journal of Global Warming, Vol. 27, No. 1 (2022) pp. 1 - 15 PubDate: 2022-05-11T23:20:50-05:00 DOI: 10.1504/IJGW.2022.122792 Issue No:Vol. 27, No. 1 (2022)
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Authors:Sofia Rani Shaik, Arun Kumar Mahalingam, Muthukumar Palanisamy, Pratul Chandra Kalita Pages: 16 - 54 Abstract: In the era of rapid growth in medical waste (MW) generation, incineration has been identified as one of the effective disposal techniques. In this paper, a brief introduction to MW disposal techniques and a detailed survey on various types of medical waste incinerators (MWI), its performance evaluation, operation and challenges associated with MWI are summarised. The method adopted for designing a double chamber incinerator is presented for the detailed understanding of the readers. CO, NOx, particulate matter, furans, dioxins, polychlorinated biphenyl, rare earth elements and heavy metals are identified as the major emissions from MWIs and various steps taken to reduce these emissions in MWIs are presented. Also, the guidelines related to design, selection of location, installation, operation, maintenance and emission control of MWIs are discussed in detail. Suggestions for the future scope of research on MWIs are also highlighted for the benefit of readers. Keywords: medical waste; incinerators; medical waste management; guidelines; emissions Citation: International Journal of Global Warming, Vol. 27, No. 1 (2022) pp. 16 - 54 PubDate: 2022-05-11T23:20:50-05:00 DOI: 10.1504/IJGW.2022.122793 Issue No:Vol. 27, No. 1 (2022)
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Authors:V. Vinodhini, M.R. Sundara Kumar, S. Sankar, Digvijay Pandey, Binay Kumar Pandey, Vinay Kumar Nassa Pages: 55 - 70 Abstract: The forest is a natural ecosystem that must be protected against natural calamities. Forest fire is one such calamity, and the goal of this work is to alert the event of disaster so that natural resources can be saved. The existing methods have few limitations like false alert, no timely notification, lack of network coverage, etc. The proposed work uses multi-layer perceptron (MLP) and advanced relative operating characteristic (AROC) approaches to address these constraints. The proposed model has accuracy of 90%, which is higher than the fuzzy logic and average consensus algorithm. Keywords: forest fire; internet of things; IoT; artificial neural networks; ANNs; flame sensor; smoke sensor; multi-layer perceptron; MLP Citation: International Journal of Global Warming, Vol. 27, No. 1 (2022) pp. 55 - 70 PubDate: 2022-05-11T23:20:50-05:00 DOI: 10.1504/IJGW.2022.122794 Issue No:Vol. 27, No. 1 (2022)
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Authors:Tien Thanh Nguyen, Thai Son Nguyen Pages: 71 - 91 Abstract: Rainfall intensity expected great changes under changing climate. Therefore, using the intensity-duration-frequency (IDF) curves based on historic rainfall data likely leads to the underestimation of related-risks to the design of drainage systems. For future conditions, probability distributions used in the establishment of IDF curves might need to be re-evaluated. This study investigates the distributions of Gumbel, generalised extreme value, generalised Laplace and generalised exponential in rainfall frequency analysis for Lower Da River Basin, Northern Vietnam. The results indicated that generalised Laplace best-fitted to observation data, but generalised extreme value is the most appropriate distribution for generating IDF curves under changing climate. Importantly, at level of 50% percentile, the strongest changes in rainfall intensity range from 2.7% at 10 years to 41.4% at 200 years and from 5.5% at 25 years to 22.0% at 200 years of return period under RCP4.5 and RCP8.5, respectively for duration of 72 hours. Keywords: climate change; extreme rainfall; IDF curve; distribution; Da River Basin; Vietnam Citation: International Journal of Global Warming, Vol. 27, No. 1 (2022) pp. 71 - 91 PubDate: 2022-05-11T23:20:50-05:00 DOI: 10.1504/IJGW.2022.122795 Issue No:Vol. 27, No. 1 (2022)
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Authors:Neha Kumari Agarwal, Niloy Kundu, Supriya Sarkar Pages: 92 - 101 Abstract: This work is aimed to develop a novel method for CO<SUB align="right">2 capture leading to high calorific value renewable fuel generation. Monoethanolamine (MEA) is one of the most common solvents used for post combustion CO<SUB align="right">2 capture from flue gas. However, substituting this solvent for biomethane upgradation requires the knowledge of the molecular chemistry involved. Therefore, to understand the interactions, density functional theory (DFT) calculations were performed. Further, a process model was developed in Aspen Plus for capturing CO<SUB align="right">2 from biogas using MEA as solvent. To optimise the process various sensitivity analysis was performed with variation of number of absorber and stripper stages, distribution coefficient of CO<SUB align="right">2 and methane in MEA, etc. Finally, an effective model was developed incorporating both the molecular chemistry of solvent as well as the process parameters to upgrade biomethane to be used as a renewable fuel along with sustainable waste management. Keywords: CO2 capture; monoethanolamine; MEA; biogas; Aspen Plus; density functional theory; DFT; biomethane Citation: International Journal of Global Warming, Vol. 27, No. 1 (2022) pp. 92 - 101 PubDate: 2022-05-11T23:20:50-05:00 DOI: 10.1504/IJGW.2022.122796 Issue No:Vol. 27, No. 1 (2022)
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Authors:Neha Kumari Agarwal, Niloy Kundu, Supriya Sarkar Pages: 102 - 122 Abstract: As a geographically diverse region, Texas has a wide variety of local and regional climatic conditions, which may not commensurate with the global warming. In this study, the parameter-elevation relationships on independent slopes model (PRISM) historical dataset was used to examine the spatial and temporal variations in temperature and precipitation of Texas. Mann-Kendall and Sen's slope statistics were performed to identify trends for the periods of 1895-2019 and 1990-2019. Results show no significant trends in the past century but significant cooling and wetting in the recent decades. Gridded trend maps revealed the spatial and seasonal heterogeneity, which exhibits cooling in summer and winter for most areas and increasing precipitation in western, south central and southern areas. The northern area has become hotter and drier. The high spatial resolution and long-term coverage captured features not discovered before, providing a fundamental step toward understanding climate impacts on people and environment. Keywords: climate change; temperature; precipitation; Texas Citation: International Journal of Global Warming, Vol. 27, No. 1 (2022) pp. 102 - 122 PubDate: 2022-05-11T23:20:50-05:00 DOI: 10.1504/IJGW.2022.122798 Issue No:Vol. 27, No. 1 (2022)
Hybrid journal (It can contain Open Access articles)
[451 journals]
