URBAN GROWTH AND ITS IMPACT ON THE PROBLEM OF DOMESTIC SOLID WASTE IN THE CITY O

Owing to the increasing population in Kirkuk, Iraq and the consequent rise in the production of waste, alongside with global warming caused by an increase in the greenhouse gases concentrations, a high level of emissions was observed at the landfill site near Kirkuk. These emissions can be transmitted by the wind over considerable distances and adversely affect the environment and individual health. In this study, two pilot scale columns were built to investigate different options for achieving sustainability by reducing long-term landfill emissions. Each reactor was packed with (8.5) kg of shredded synthetic solid waste (less than 5 cm) that was prepared according to an average composition of domestic solid waste in the city of Kirkuk. The main result of this study was that the pretreatment of the waste may shorten the transition time for active methane development and increase the methanogenesis of the landfill site and also affects COD removals efficiencies which were 19.11% and 66.53% for columns A and B respectively.

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Effect of sanitation facilities, domestic solid waste disposal and hygiene practices on water quality in Malawi’s urban poor areas: a case study of South Lunzu Township in the city of Blantyre

Physics and Chemistry of the Earth Parts A/B/C ◽

10.1016/s1474-7065(02)00079-7 ◽

2002 ◽

Vol 27 (11-22) ◽

pp. 845-850 ◽

Cited By ~ 31

Author(s):

Lobina G. Palamuleni

Keyword(s):

Water Quality ◽

Solid Waste ◽

Waste Disposal ◽

Urban Poor ◽

Solid Waste Disposal ◽

Hygiene Practices ◽

Domestic Solid Waste ◽

The City

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Urban Growth, Real Estate Development and Indigenous Property: Simulating the Expansion Process in the City of Temuco, Chile

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10020101 ◽

2021 ◽

Vol 10 (2) ◽

pp. 101

Author(s):

Francisco Maturana ◽

Mauricio Morales ◽

Fernando Peña-Cortés ◽

Marco A. Peña ◽

Carlos Vielma

Keyword(s):

Real Estate ◽

Urban Growth ◽

Urban Expansion ◽

Indigenous Communities ◽

Objective Evaluation ◽

Real Estate Development ◽

Territorial Planning ◽

The Future ◽

Urban Scenario ◽

The City

Urbanization is spreading across the world and beyond metropolitan areas. Medium-sized cities have also undergone processes of accelerated urban expansion, especially in Latin America, thanks to scant regulation or a complete lack thereof. Thus, understanding urban growth in the past and simulating it in the future has become a tool to raise its visibility and challenge territorial planners. In this work, we use Markov chains, cellular automata, multi-criteria multi-objective evaluation, and the determination of land use/land cover (LULC) to model the urban growth of the city of Temuco, Chile, a paradigmatic case because it has experienced powerful growth, where real estate development pressures coexist with a high natural value and the presence of indigenous communities. The urban scenario is determined for the years 2033 and 2049 based on the spatial patterns between 1985 and 2017, where the model shows the trend of expansion toward the northeast and significant development in the western sector of the city, making them two potential centers of expansion and conflict in the future given the heavy pressure on lands that are indigenous property and have a high natural value, aspects that need to be incorporated into future territorial planning instruments.

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A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran

Remote Sensing ◽

10.3390/rs13050949 ◽

2021 ◽

Vol 13 (5) ◽

pp. 949

Author(s):

Salman Qureshi ◽

Saman Nadizadeh Shorabeh ◽

Najmeh Neysani Samany ◽

Foad Minaei ◽

Mehdi Homaee ◽

...

Keyword(s):

Urban Growth ◽

Integrated Approach ◽

Physical Growth ◽

Support Vector ◽

Markov Chain Method ◽

Physical Expansion ◽

Hierarchy Process ◽

The City

Due to irregular and uncontrolled expansion of cities in developing countries, currently operational landfill sites cannot be used in the long-term, as people will be living in proximity to these sites and be exposed to unhygienic circumstances. Hence, this study aims at proposing an integrated approach for determining suitable locations for landfills while considering their physical expansion. The proposed approach utilizes the fuzzy analytical hierarchy process (FAHP) to weigh the sets of identified landfill location criteria. Furthermore, the weighted linear combination (WLC) approach was applied for the elicitation of the proper primary locations. Finally, the support vector machine (SVM) and cellular automation-based Markov chain method were used to predict urban growth. To demonstrate the applicability of the developed approach, it was applied to a case study, namely the city of Mashhad in Iran, where suitable sites for landfills were identified considering the urban growth in different geographical directions for this city by 2048. The proposed approach could be of use for policymakers, urban planners, and other decision-makers to minimize uncertainty arising from long-term resource allocation.

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Estimation of Domestic Solid Waste Amount with Exponential Smoothing Method and Artificial Neural Network Models: An Application for Istanbul Province

2020 Innovations in Intelligent Systems and Applications Conference (ASYU) ◽

10.1109/asyu50717.2020.9259821 ◽

2020 ◽

Author(s):

Merve Akgul ◽

Eyup Ensar Kalayci ◽

Buket Dogan ◽

Banu Calis Uslu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Solid Waste ◽

Network Models ◽

Exponential Smoothing ◽

Smoothing Method ◽

Neural Network Models ◽

Domestic Solid Waste ◽

Artificial Neural Network Models ◽

Exponential Smoothing Method

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Using Land Cover, Population, and Night Light Data for Assessing Local Temperature Differences in Mainz, Germany

Journal of Applied Meteorology and Climatology ◽

10.1175/jamc-d-14-0124.1 ◽

2015 ◽

Vol 54 (3) ◽

pp. 658-670 ◽

Cited By ~ 10

Author(s):

Jenny Lindén ◽

Jan Esper ◽

Björn Holmer

Keyword(s):

Twentieth Century ◽

Light Intensity ◽

Central Europe ◽

Urban Growth ◽

Urban Areas ◽

Surface Coverage ◽

Daily Maximum ◽

Source Areas ◽

Maximum Temperatures ◽

The City

AbstractUrban areas are believed to affect temperature readings, thereby biasing the estimation of twentieth-century warming at regional to global scales. The precise effect of changes in the surroundings of meteorological stations, particularly gradual changes due to urban growth, is difficult to determine. In this paper, data from 10 temperature stations within 15 km of the city of Mainz (Germany) over a period of 842 days are examined to assess the connection between temperature and the properties of the station surroundings, considering (i) built/paved area surface coverage, (ii) population, and (iii) night light intensity. These properties were examined in circles with increasing radii from the stations to identify the most influential source areas. Daily maximum temperatures Tmax, as well as daily average temperatures, are shown to be significantly influenced by elevation and were adjusted before the analysis of anthropogenic surroundings, whereas daily minimum temperatures Tmin were not. Significant correlations (p < 0.1) between temperature and all examined properties of station surroundings up to 1000 m are found, but the effects are diminished at larger distance. Other factors, such as slope and topographic position (e.g., hollows), were important, especially to Tmin. Therefore, properties of station surroundings up to 1000 m from the stations are most suitable for the assessment of potential urban influence on Tmax and Tmin in the temperate zone of central Europe.

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