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Journal articles on the topic 'Urban Mining'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 March 2023

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1

Zhu, Xuan. "GIS and Urban Mining." Resources 3, no. 1 (March 3, 2014): 235–47. http://dx.doi.org/10.3390/resources3010235.

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2

Boeckh, Martin. "Urban Mining der besonderen Art." ENTSORGA-Magazin 40, no. 2 (2021): 73. http://dx.doi.org/10.51202/0933-3754-2021-2-073-2.

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3

Armisheva, Galiya, Natalia Sliusar, and Vladimir Korotaev. "Briefing: Urban-mining of landfills." Proceedings of the Institution of Civil Engineers - Waste and Resource Management 166, no. 4 (November 2013): 153–57. http://dx.doi.org/10.1680/warm.12.00025.

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4

Franke, Matthias, Mario Mocker, and Ingrid Löh. "Urban Mining – Wertstoffgewinnung aus Abfalldeponien." Wasser und Abfall 13, no. 3 (March 2011): 40–46. http://dx.doi.org/10.1365/s35152-011-0023-2.

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5

Cossu, Raffaello, and Ian D. Williams. "Urban mining: Concepts, terminology, challenges." Waste Management 45 (November 2015): 1–3. http://dx.doi.org/10.1016/j.wasman.2015.09.040.

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6

Katakis, Ioannis. "Mining urban data (part A)." Information Systems 54 (December 2015): 113–14. http://dx.doi.org/10.1016/j.is.2015.08.002.

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7

Andrienko, Gennady, Dimitrios Gunopulos, Yannis Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, and Olivier Verscheure. "Mining Urban Data (Part B)." Information Systems 57 (April 2016): 75–76. http://dx.doi.org/10.1016/j.is.2016.01.001.

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Andrienko, Gennady, Dimitrios Gunopulos, Yannis Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, and Olivier Verscheure. "Mining Urban Data (Part C)." Information Systems 64 (March 2017): 219–20. http://dx.doi.org/10.1016/j.is.2016.09.003.

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9

Billard, Isabelle. "Green solvents in urban mining." Current Opinion in Green and Sustainable Chemistry 18 (August 2019): 37–41. http://dx.doi.org/10.1016/j.cogsc.2018.11.013.

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10

Qian, Jingyi. "Retrofitting Existing Urban Voids." BCP Education & Psychology 7 (November 7, 2022): 327–34. http://dx.doi.org/10.54691/bcpep.v7i.2684.

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As an abandoned mining area, Huanglong Mountain Purple Sand Mining Area in Dingshu Town, Yixing City, Jiangsu Province has entered a state of suspension of production. This study draws on successful cases and retrofits the abandoned mining area in Huanglong Mountain into a “source of purple sand” community park. With purple sand (the represent of the urban) as the core, museums are built to realize the restoration of the ruins and at the same time display the culture as well as history of the development of purple sand mining and pottery industry through photos and historical documents. This community park also provides ordinary pottery artists with opportunities to display their works and participate in cultural inheritance through workshop, narrating their learning experience to encourage youngsters. Some basic facilities like teahouses, restaurants, hotels and bazaars associated with local elements are created in the park to help tourists to experience the local pottery art life and boost economy prosperity of the city.
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11

Aldebei, Faisal, and Mihály Dombi. "Mining the Built Environment: Telling the Story of Urban Mining." Buildings 11, no. 9 (September 1, 2021): 388. http://dx.doi.org/10.3390/buildings11090388.

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Materials are continuously accumulating in the human-built environment since massive amounts of materials are required for building, developing, and maintaining cities. At the end of their life cycles, these materials are considered valuable sources of secondary materials. The increasing construction and demolition waste released from aging stock each year make up the heaviest, most voluminous waste outflow, presenting challenges and opportunities. These material stocks should be utilized and exploited since the reuse and recycling of construction materials would positively impact the natural environment and resource efficiency, leading to sustainable cities within a grander scheme of a circular economy. The exploitation of material stock is known as urban mining. In order to make these materials accessible for future mining, material quantities need to be estimated and extrapolated to regional levels. This demanding task requires a vast knowledge of the existing building stock, which can only be obtained through labor-intensive, time-consuming methodologies or new technologies, such as building information modeling (BIM), geographic information systems (GISs), artificial intelligence (AI), and machine learning. This review paper gives a general overview of the literature body and tracks the evolution of this research field.
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12

Shen, Hongcheng, Zihao Yang, Yuxin Bao, Xiaonuan Xia, and Dan Wang. "Impact of Urban Mining on Energy Efficiency: Evidence from China." Sustainability 14, no. 22 (November 14, 2022): 15039. http://dx.doi.org/10.3390/su142215039.

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Achievement of carbon neutrality requires lowering energy consumption in China. However, only a few studies have focused on the impact of urban mining on the reduction in energy consumption, and the impact of urban mining on reducing energy consumption remains unclear. This study explored the impact of urban mining on energy efficiency by adopting the panel data of 281 prefecture-level cities in China between 2003 and 2016 using the difference-in-difference method, and tested the setting up of urban mining pilot bases on reducing urban energy consumption per unit of gross domestic product (GDP) and channel mechanisms. The empirical findings show that urban mining pilot bases have significantly reduced energy consumption per unit of GDP by 3.67%. The instrumental variable method was used to overcome endogenous problems of the empirical results and related robustness tests. The verification results of the impact mechanism show that urban mining reduces the energy consumption per unit of GDP through three channels: by improving the degree of urban marketization, enhancing the harmony between the government and the market, and increasing the abundance of factor markets. The heterogeneity analysis shows that urban mining has a significant reduction effect on energy consumption per unit of GDP in all four regions of China; however, the energy-saving effect in the northeast is higher than that in the other regions. This study provides an empirical test and policy insights for the contribution of urban mining pilot bases in promoting China’s development of green industry and circular economy. It also offers a new path for cities in developing countries to promote energy conservation and achieve urban sustainability via urban mining.
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13

HALADA, Kohmei. "Possibility and Challenge of Urban Mining." Journal of The Surface Finishing Society of Japan 63, no. 10 (2012): 606–11. http://dx.doi.org/10.4139/sfj.63.606.

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14

ALECU, GEORGETA, and WILHELM KAPPEL. "PRECIOUS METALS RECOVERED BY URBAN MINING." Journal of Engineering Sciences and Innovation 7, no. 1 (March 5, 2022): 29–44. http://dx.doi.org/10.56958/jesi.2022.7.1.29.

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The circular economy generates major environmental benefits, which result from the use of energy and renewable materials or from reuse and recycling. Being a complex mixture of materials and components, from an economic point of view, the separate collection and recycling of electronic and electric wastes can be cost-effective for products because they contain many hazardous substances, rare or precious metals. This paper presents some aspects regarding the waste with high content of precious or nonferrous metals contained in the electronic/electrical components. Their presence in electronic/electrical waste makes it necessary to recycle and treat them in an ecological way, generating a true industrial symbiosis. In the paper this fact is exemplified by the presentation of a reconditioning-recovery technology that allows the full recovery of all components of some types of electrical contacts widely used in economics. Disposable or defective electrical contact waste was used, as well as technological waste resulting from the manufacture of electrical contact pieces.
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15

Kwon, E. E., H. Yi, and H. H. Kwon. "Urban energy mining from sewage sludge." Chemosphere 90, no. 4 (January 2013): 1508–13. http://dx.doi.org/10.1016/j.chemosphere.2012.07.062.

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16

Gough, Katherine V., Paul WK Yankson, and James Esson. "Migration, housing and attachment in urban gold mining settlements." Urban Studies 56, no. 13 (November 28, 2018): 2670–87. http://dx.doi.org/10.1177/0042098018798536.

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Mining settlements are typically portrayed as either consisting of purpose-built housing constructed by mining companies to house their workers, or as temporary makeshift shelters built by miners working informally and inhabited by male migrants who live dangerously and develop little attachment to these places. This paper contributes to these debates on the social and material dynamics occurring in mining settlements, focusing on those with urban rather than rural characteristics, by highlighting how misconceived these archetypal portrayals are in the Ghanaian context. Drawing on qualitative data collected in three mining settlements, we explore who is moving to and living in the mining towns, who is building houses, and how attachments to place develop socio-temporally. Through doing so, the paper provides original insights on the heterogeneous nature of mining settlements, which are found to be home to a wide range of people engaged in diverse activities. Mining settlements and their attendant social dynamics are shown to evolve in differing ways, depending on the type of mining taking place and the length of time the mines have been in operation. Significantly, we illustrate how, contrary to popular understandings of incomers to mining settlements as nomadic opportunists, migrants often aspire to build their own houses and establish a family, which promotes their attachment to these settlements and their desire to remain. These insights further scholarship on the social and material configuration of mining settlements and feed into the revival of interest in small and intermediate urban settlements.
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17

Puspita, Daniel Fajar, and Deni Cahyadi. "URBAN MINING BATERAI LITHIUM BEKAS SEBAGAI SUMBER ALTERNATIF BAHAN BAKU BATERAI LITHIUM." REKSABUMI 1, no. 2 (June 21, 2022): 43–55. http://dx.doi.org/10.33830/reksabumi.v1i2.2163.2022.

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Telah dibuat usulan urban mining yang menawarkan solusi tata kelola sampah baterai lithium. Hal ini dilatarbelakangi belum adanya sistem pengelolaan sampah yang spesifik menangani baterai lithium. Penelitian dilakukan secara kuantitatif untuk percobaan electrochemical discharge dan kualitatif untuk pengumpulan data, pengolahan dan perumusan usulan urban mining. Dari hasil penelitian eksperimental didapatkan bahwa NaCl 5% merupakan konsentrasi optimum untuk electrochemical discharge. Analisa kualitatif dari data tata kelola sampah di Indonesia didapat bahwa masih ditemukan kendala khususnya untuk sampah baterai lithium. Sistem urban mining yang diusulkan mencakup lingkup masyarakat dan pengumpul sementara. Diharapkan usulan urban mining ini bisa memberikan masukan untuk perencanaan tata kelola sampah baterai lithium yang efektif dan berwawasan lingkungan.
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18

Wang, Xiaohu. "Application Research of Data Mining in Urban Logistics Planning." Wireless Communications and Mobile Computing 2022 (July 14, 2022): 1–13. http://dx.doi.org/10.1155/2022/3868746.

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With the continuous development of information technology and the arrival of the era of big data, data mining technology has been applied in more and more fields. Data mining refers to the process of searching for information hidden in a large amount of data through algorithms. This process uses various technical methods and has a wide range of applications. Urban logistics is a special logistics system, an open and complex system, which has a profound impact on the development of cities. Using data mining technology to plan urban logistics can more efficiently improve the speed of urban logistics, save logistics costs, and speed up the construction of urban economy. This paper is aimed at studying urban logistics planning model based on data mining and analyzing the calculation accuracy and reliability of the model. This paper proposes to establish a relevant input-output data mining model according to the relationship between various industries and logistics in the city and conduct a calculation test on the model. The test results show that the data mining model proposed in this paper has an average calculation accuracy of over 85% and a maximum of 99%, which shows that the model has strong practical reliability and can be effectively applied to the planning of urban logistics.
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19

Halada, Kohmei, Kiyoshi Ijima, Masanori Shimada, and Nozomu Katagiri. "A Possibility of Urban Mining in Japan." Journal of the Japan Institute of Metals 73, no. 3 (2009): 151–60. http://dx.doi.org/10.2320/jinstmet.73.151.

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20

Johansson, Christian, Jenny Elfsberg, Tobias C. Larsson, Martin Frank, Larry J. Leifer, Niklas Nilsson, and Victor Söderberg. "Urban Mining as a Case for PSS." Procedia CIRP 47 (2016): 460–65. http://dx.doi.org/10.1016/j.procir.2016.03.089.

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21

Gidarakos, E., and A. Akcil. "WEEE under the prism of urban mining." Waste Management 102 (February 2020): 950–51. http://dx.doi.org/10.1016/j.wasman.2019.11.039.

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22

Layr, Kathrin, and Philipp Hartlieb. "Market Analysis for Urban Mining of Phosphogypsum." BHM Berg- und Hüttenmännische Monatshefte 164, no. 6 (April 18, 2019): 245–49. http://dx.doi.org/10.1007/s00501-019-0855-8.

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23

Pollock, Cynthia. "Mining Urban Wastes: The Potential for Recycling." Bulletin of Science, Technology & Society 6, no. 6 (December 1986): 625–26. http://dx.doi.org/10.1177/027046768600600606.

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24

Piao, Zhengyin, Peter Mikhailenko, Muhammad Rafiq Kakar, Moises Bueno, Stefanie Hellweg, and Lily D. Poulikakos. "Urban mining for asphalt pavements: A review." Journal of Cleaner Production 280 (January 2021): 124916. http://dx.doi.org/10.1016/j.jclepro.2020.124916.

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25

Wyss, Kevin M., Bing Deng, and James M. Tour. "Upcycling and urban mining for nanomaterial synthesis." Nano Today 49 (April 2023): 101781. http://dx.doi.org/10.1016/j.nantod.2023.101781.

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26

Krook, Joakim, and Leenard Baas. "Getting serious about mining the technosphere: a review of recent landfill mining and urban mining research." Journal of Cleaner Production 55 (September 2013): 1–9. http://dx.doi.org/10.1016/j.jclepro.2013.04.043.

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27

Udelsmann Rodrigues, Cristina, and Deborah Fahy Bryceson. "Precarity in Angolan diamond mining towns, 1920–2014: tracing agency of the state, mining companies and urban households." Journal of Modern African Studies 56, no. 1 (March 2018): 113–41. http://dx.doi.org/10.1017/s0022278x17000507.

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AbstractAfter nearly 30 years of civil war, Angola gained peace in 2002. The country's diamond and oil wealth affords the national government the means to pursue economic reconstruction and urban development. However, in the diamond-producing region of Lunda Sul, where intense fighting between MPLA and UNITA forces was waged, the legacy of war lingers on in the form of livelihood uncertainty and uneven access to the benefits of the state's urban development programmes. There are three main interactive agents of urban change: the Angolan state, the mining corporations, and not least urban residents. The period has been one of shifting alignments of responsibility for urban housing, livelihoods and welfare provisioning. Beyond the pressures of post-war adjustment, the wider context of global capital investment and labour market restructuring has introduced a new surge of corporate mining investment and differentiated patterns of prosperity and precarity in Lunda Sul.
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28

Zarković, Božidar. "Mining marketplaces: Exponents of urban development of medieval Serbia." Zbornik radova Filozofskog fakulteta u Pristini 51, no. 3 (2021): 71–91. http://dx.doi.org/10.5937/zrffp51-34367.

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The paper follows the formation and the rise of mining marketplaces in Medieval Serbia and their contribution to the urban development of the country. In addition to mining marketplaces in Serbia, there were others as well, but the mining marketplaces experienced the highest rise and the greatest urban development. Present urban elements bear witness to the fact that that they were modern elements in those times. Their rise was discontinued, as well as the development of Medieval Serbian state in the middle of the 15th century.
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29

Zhang, Jun, Xin Sui, and Xiong He. "Research on the Simulation Application of Data Mining in Urban Spatial Structure." Journal of Advanced Transportation 2020 (August 3, 2020): 1–9. http://dx.doi.org/10.1155/2020/8863363.

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Data mining and simulation of the Internet of things (IOT) have been applied more and more widely in the rapidly developing urban research discipline. Urban spatial structure is an important field that needs to be explored in the sustainable urban development, while data mining is relatively rare in the research of urban spatial structure. In this study, 705,747 POI (Point of Interest) were used to conduct simulation analysis of western cities in China by mining the data of online maps. Through kernel density analysis and spatial correlation index, the distribution and aggregation characteristics of different types of POI data in urban space were analyzed and the spatial analysis and correlation characteristics among different functional centers of the city were obtained. The spatial structure of the city is characterized by “multicenters and multigroups”, and the distribution of multicenters is also shown in cities with different functional types. The development degree of different urban centers varies significantly, but most of them are still in their infancy. Data mining of Internet of things (IOT) has good adaptability in city simulation and will play an important role in urban research in the future.
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Andriani, Kiki, Nurini, and Rina Kurniati. "Implementation Of The Urban Forest Canopy Concept In Urban Forest Park Design, As An Effort To Rehabilitate Post-Mining Land Of Pt. Bukit Asam, Muara Enim, South Sumatera." E3S Web of Conferences 73 (2018): 04009. http://dx.doi.org/10.1051/e3sconf/20187304009.

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Mining industry activity has a positive and negative impacts on life.The positive impacts of the mine are to meet the needs of industry, energy and other things that are important to life. However, on the other hand, mining activities will lead to land degradation. The mining site needs major attention due to environmental damage caused. In addition to causing erosion and sedimentation, mining activities can lead to increase of heavy metal content in soils potentially entering the aquatic environment, decreasing the quantity and quality of water. Therefore, a repair or rehabilitation effort on post mining land is needed so as not to cause sustained damage. PT Bukit Asam in Muara Enim regency is one of the largest mining and mineral resource company in Indonesia. Recovery of land in PTBA is done by utilizing ex-mining land as urban forest as well as to increase recreation facilities in Muara Enim community. This study uses a data collection technique including field observations, interviews, documents review, narratives and questionnaires. The analysis used in the study include the analysis of natural physical conditions, users, activities and space requirements, site analysis, infrastructure analysis and Urban Forest Canopy Concepts. The results of this study are Urban Forest Park designs by applying Urban Forest Canopy Concepts.
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31

Li, Xueliang. "Analysis and Practice of Urban Wetland Construction Technology in Mining Subsidence Water Area." E3S Web of Conferences 194 (2020): 05037. http://dx.doi.org/10.1051/e3sconf/202019405037.

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The mining of underground coal resources has a great impact on the ecological environment, especially in the high groundwater level area in the East, the mining subsidence has a more severe impact on the surface water, resulting in serious surface water, and the feasibility of restoring the original land function is poor. Based on the analysis of the characteristics of mining subsidence water, this paper puts forward the key technology of urban wetland construction, and analyzes it combined with engineering examples. The results show that: in the mining subsidence water area around the city, relying on the geographical advantages and abundant secondary wetland resources of coal mining subsidence, we can shape the regional tourism image, focus on the construction of Urban Wetland Park and ecological wetland, expand the urban service function of wetland in the aspects of leisure, tourism, education and tourism, as well as the rainwater storage and water purification function of wetland. This study provides a reference for the construction of similar mining cities.
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Yang, Long, Xiangchun Wang, Yangyang Chu, Fei Qin, and Siyu Wang. "Research on urban and rural high-quality development based on ecological restoration of coal mining subsidence area." E3S Web of Conferences 261 (2021): 04009. http://dx.doi.org/10.1051/e3sconf/202126104009.

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Ecological restoration of coal mining subsidence area is of great significance to improve the ecological and living environment, enrich the supply of ecological products, promote the green transformation of resource-based cities and the high-quality development of urban and rural areas. This paper combs the significance of ecological restoration in coal mining subsidence area to promote the high-quality development of urban and rural areas, systematically expounds the realization path of ecological restoration to promote urban-rural spatial integration, cultural integration, economic integration and social integration development by taking Pan’an Lake coal mining subsidence area as a case. Finally, the high-quality development evaluation index system of coal mining subsidence area based on ecological restoration is put forward, and the prospect of ecological restoration and high-quality development in coal mining subsidence area are discussed.
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33

Valls, Francesc, Ernesto Redondo, David Fonseca, Ricardo Torres-Kompen, Sergi Villagrasa, and Nuria Martí. "Urban data and urban design: A data mining approach to architecture education." Telematics and Informatics 35, no. 4 (July 2018): 1039–52. http://dx.doi.org/10.1016/j.tele.2017.09.015.

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34

Zeng, Xianlai, John A. Mathews, and Jinhui Li. "Urban Mining of E-Waste is Becoming More Cost-Effective Than Virgin Mining." Environmental Science & Technology 52, no. 8 (April 4, 2018): 4835–41. http://dx.doi.org/10.1021/acs.est.7b04909.

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35

Krzysztofik, Robert, Oimahmad Rahmonov, Iwona Kantor-Pietraga, and Weronika Dragan. "The Perception of Urban Forests in Post-Mining Areas: A Case Study of Sosnowiec-Poland." International Journal of Environmental Research and Public Health 19, no. 7 (March 24, 2022): 3852. http://dx.doi.org/10.3390/ijerph19073852.

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Sustainable development policy emphasizes, among other things, the role of green areas in urban space. This remark applies in particular to post-industrial and post-mining cities. One of the elements of shaping the sustainable development of post-mining cities is that forests are often anthropogenic forest ecosystems growing in previously mining areas, one of the most characteristic elements of their spatial development. This article examines the role of urban forests in the post-mining area in Sosnowiec, located in the core of the Katowice conurbation in southern Poland. This article aimed to show the social perception of forests in post-mining areas among the local community and the features of urban forests. The social dimension of the interaction between humans and the environment is related to the issue of urban planning. Research was implemented based on quantitative, qualitative (CATI survey), and cartographic methods. The results indicate the significant role of forests in post-mining areas depending on their location in the settlement areas in a post-industrial city. The research emphasizes that residents perceive forests in post-mining areas of cities as an essential and expected recreational space. Notably, half of them do not see any threats therein. It is also expected that these areas will be better developed for recreational purposes in the future.
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Delgado, Alexi, Erick Arroyo, Bruno Rivera, Daniel Pacheco, Kevin Quispe, Marisol Medina, Alexander Colonia, and Vladimir León. "Applying Grey Systems to Determine if Mining Activity is Main Factor of Water Pollution in Huallaga River in Peru." International Journal of Emerging Technology and Advanced Engineering 12, no. 7 (July 4, 2022): 27–37. http://dx.doi.org/10.46338/ijetae0722_04.

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Peru is a country with a lot of mining activities; however, these activities have a bad reputation due to pollution water. Therefore, the objective of this study is to determine the water quality of the Alto Huallaga watershed, Peru, due to the presence of nearby mining companies and urban populations. To this end, the research question is as follows: Do mining companies pollute the Alto Huallaga River more than urban populations? The research question is answered through the Grey Clustering methodology, which is based on grey systems, using information known from the National Water Authority (ANA). The main purpose of this work is to compare the quality of water that has been influenced by contaminants from mining and non-mining activities. The results obtained in this work show that the environmental management of the mining companies close to the rivered reduces the pollution produced by mining and non-mining activities to levels acceptable by law. On the contrary, it is observed that the absence of mining units has an influence on the increase in urban pollution produced by cities and towns near the watershed, which affects water quality. This research shows that formal mining activity in the watershed has a positive impact on water quality and allows future research to be opened regarding the influence on other environmental factors such as air, soil, biodiversity and even the social environment. Finally, this research is the beginning of a change in perspective on mining in the country.
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Corrêa, Harrison Lourenço, and Marco Antonio Gaya Figueiredo. "Urban mining: A brief review on prospecting technologies." Brazilian Journal of Development 6, no. 5 (2020): 29441–52. http://dx.doi.org/10.34117/bjdv6n5-410.

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38

Celikten, Emre, Geraud Le Falher, and Michael Mathioudakis. "Modeling Urban Behavior by Mining Geotagged Social Data." IEEE Transactions on Big Data 3, no. 2 (June 1, 2017): 220–33. http://dx.doi.org/10.1109/tbdata.2016.2628398.

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39

Behnisch, Martin, and Alfred Ultsch. "Urban data-mining: spatiotemporal exploration of multidimensional data." Building Research & Information 37, no. 5-6 (November 2009): 520–32. http://dx.doi.org/10.1080/09613210903189343.

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40

H R, Sahana, and VijayaKumar M V. "Spatial Mining of Urban Emergency Events using Crowdsourcing." International Journal of Computer Trends and Technology 68, no. 3 (March 25, 2020): 17–21. http://dx.doi.org/10.14445/22312803/ijctt-v68i3p104.

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41

Magno Muniz e Silva, Carlos, Antoˆnio Stellin Jnr, Edson Guedes da Costa, and Wildor Theodoro Hennies. "Electrohydraulic rock blasting for mining in urban areas." Environmental Management and Health 12, no. 1 (March 2001): 26–34. http://dx.doi.org/10.1108/09566160110381896.

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Marais, Lochner, Stuart Denoon-Stevens, and Jan Cloete. "Mining towns and urban sprawl in South Africa." Land Use Policy 93 (April 2020): 103953. http://dx.doi.org/10.1016/j.landusepol.2019.04.014.

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43

Zhao, D. D., Huhetaoli, H. R. Yuan, and Z. H. Tang. "Urban-rural mining: waste utilization in Guangdong, China." IOP Conference Series: Earth and Environmental Science 153 (May 2018): 062042. http://dx.doi.org/10.1088/1755-1315/153/6/062042.

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44

Zhang, Liming, Yongguang Zhong, and Yong Geng. "A bibliometric and visual study on urban mining." Journal of Cleaner Production 239 (December 2019): 118067. http://dx.doi.org/10.1016/j.jclepro.2019.118067.

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45

Klinglmair, Manfred, and Johann Fellner. "Urban Mining in Times of Raw Material Shortage." Journal of Industrial Ecology 14, no. 4 (August 2010): 666–79. http://dx.doi.org/10.1111/j.1530-9290.2010.00257.x.

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46

Brunner, Paul H. "Urban Mining A Contribution to Reindustrializing the City." Journal of Industrial Ecology 15, no. 3 (May 25, 2011): 339–41. http://dx.doi.org/10.1111/j.1530-9290.2011.00345.x.

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47

Fields, Morris, and Hollis Bennett. "Signature mining and analysis of urban environment data." Journal of the Acoustical Society of America 142, no. 4 (October 2017): 2619. http://dx.doi.org/10.1121/1.5014593.

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48

Chen, Jinhua, Can Zhao, Kai Zhang, and Zhiheng Li. "Urban Hotspots Mining Based on Improved FDBSCAN Algorithm." Journal of Physics: Conference Series 1584 (July 2020): 012072. http://dx.doi.org/10.1088/1742-6596/1584/1/012072.

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49

Zhang, Mingming, and Bowen Li. "Urban Mining: Characterization and Recycling of Solid Wastes." JOM 71, no. 10 (August 8, 2019): 3656–57. http://dx.doi.org/10.1007/s11837-019-03721-3.

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50

Lian, Jing, Yang Li, Weixi Gu, Shao-Lun Huang, and Lin Zhang. "Mining Regional Mobility Patterns for Urban Dynamic Analytics." Mobile Networks and Applications 25, no. 2 (July 24, 2019): 459–73. http://dx.doi.org/10.1007/s11036-019-01309-4.

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