Reinforced Cuckoo Search based fugitive landfill methane emission estimation

Author(s):  
Kalaipriyan Thirugnanasambandam ◽  
S.V. Sudha ◽  
D. Saravanan ◽  
Renjith V. Ravi ◽  
Dinesh Kumar Anguraj ◽  
...  
2016 ◽  
Vol 94 (1) ◽  
pp. 91-113 ◽  
Author(s):  
Prabir K. PATRA ◽  
Tazu SAEKI ◽  
Edward J. DLUGOKENCKY ◽  
Kentaro ISHIJIMA ◽  
Taku UMEZAWA ◽  
...  

2006 ◽  
Vol 26 (4) ◽  
pp. 417-429 ◽  
Author(s):  
Heijo Scharff ◽  
Joeri Jacobs

Animals ◽  
2012 ◽  
Vol 2 (2) ◽  
pp. 275-287 ◽  
Author(s):  
César Pinares-Patiño ◽  
José Gere ◽  
Karen Williams ◽  
Roberto Gratton ◽  
Paula Juliarena ◽  
...  

Author(s):  
P. Dumortier ◽  
L. Gourlez de la Motte ◽  
A.L.H. Andriamandroso ◽  
M. Aubinet ◽  
Y. Beckers ◽  
...  

2011 ◽  
Vol 45 (39) ◽  
pp. 7135-7142 ◽  
Author(s):  
Monojit Chakraborty ◽  
Chhemendra Sharma ◽  
Jitendra Pandey ◽  
Nahar Singh ◽  
Prabhat K. Gupta

2020 ◽  
Vol 277 ◽  
pp. 115572
Author(s):  
Zahra Heydarzadeh ◽  
Michael Mac Kinnon ◽  
Clinton Thai ◽  
Jeff Reed ◽  
Jack Brouwer

2021 ◽  
Vol 7 (3) ◽  
pp. 239
Author(s):  
Soni Pratamayudha Wijaya ◽  
Siti Ainun ◽  
Didin Agustian Permadi

Methane gas (CH4) is a greenhouse gas that can potentially induce global warming and it is known as surface ozone precursor. CH4 is generally produced from biological process occurred at the landfill which is not equipped with CH4 recovery and treatment system. Note that, very few of landfills in Indonesia have been operated as sanitary landfill but rather most of them act as dumping site. One landfill in West Java Province is Sarimukti Landfill which receives nearly 604,674 ton of solid waste annually. Existing studies have been using the first tier of the Intergovernmental Panel on Climate Change (IPCC) guideline for the emission estimation which provides high uncertainty due to the international default data. In addition, there are uncertainties for the multi years estimation because the kinetic rate of biological processes was not involved in the calculation. To fill in this gap, this research was conducted to use an alternative of methodology for estimating CH4 from landfill using a well known software of the Landfill Gas Emissions Model (LandGEM) which facilitates biological reaction in the calculation. We will also perform calculations using the traditional IPCC method for the Sarimukti landfill as a case study. To quantify the impact of CH4 emission, its dispersion was calculated using the AMS/EPA Regulatory Model (AERMOD). Potential impact on surface ozone formation was assessed using ozone formation potential (OFP) metric. The results of this study indicate that methane gas emissions have increased every year, where the highest emissions occurred in 2025 of 14,810.41 Mg/year (LandGEM) and 11,462.66 Mg/year (IPCC). Likewise, the potential for OFP from methane gas concentrations has increased every year where the highest concentration of surface ozone formation is in 2025 of 183,40 Mg/year. Meanwhile, the methane emission (CH4) has a dispersion pattern which is influenced by meteorological factors around the Sarimukti landfill.


2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.


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