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Dzhema Melkonyan and Sherin Sugathan
Increasing groundwater levels (GWLs) may become one of the most serious issues for the city of Odessa, Ukraine. This study investigated the spatial distribution characteristics and multifractal scaling behaviour of the groundwater-level/-depth fluctuatio...
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Thiago dos Santos Gonçalves, Harald Klammler and Luíz Rogério Bastos Leal
Aquifer properties, such as hydraulic transmissivity T and its spatial variability, are fundamental for sustainable groundwater exploitation in arid regions. Especially in karst aquifers, spatial variability can be considerable, and the application of ge...
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Avijit Sarkar, James B. Pick and Shaista Jabeen
This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb?s short-term rental (STR) marketplace in San Francisco during the years 2019?2022, a four-year period that spans the COVID-19 pandemic. This provides...
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Alessia Di Giovanni, Diego Di Curzio, Davide Pantanella, Cristiana Picchi and Sergio Rusi
Recently, new numerical methods have been applied to weather data for the estimation of water budget, especially when the lack of measured data is considerable. Geostatistics is one of the most powerful approaches when it comes to studying spatially rele...
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Ivan Kovac, Marko ?rajbek, Nikolina Kli?anin and Gordon Gilja
The localization of pollution sources is one of the main tasks in environmental engineering. For this paper, models of spatial distribution of nitrate concentration in groundwater were created, and the point of highest concentration was determined. This ...
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of geodata with high spatial and temporal resolution is increasing steadily. Often, these data are continuously generated by distributed sensor networks and provided as geodata streams. Geostatistical analysis methods, such as spatiotemp...
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Waqas Ahmed, Khan Muhammad, Hylke Jan Glass, Snehamoy Chatterjee, Asif Khan and Abid Hussain
Geostatistical estimation methods rely on experimental variograms that are mostly erratic, leading to subjective model fitting and assuming normal distribution during conditional simulations. In contrast, Machine Learning Algorithms (MLA) are (1) free of...
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Lina Galinskaite, Alius Ulevicius, Vaidotas Valskys, Arunas Samas, Peter E. Busher and Gytautas Ignatavicius
Vehicle collisions with animals pose serious issues in countries with well-developed highway networks. Both expanding wildlife populations and the development of urbanised areas reduce the potential contact distance between wildlife species and vehicles....
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Chuan-Zheng Yuan and Xiang-Rong Wang
Industrial activities have raised widespread concerns about groundwater pollution and human health. Shanghai?s industrial land has been polluting the groundwater for more than 30 years; however, it is not clear whether it poses a risk to human health. Th...
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Yufu Zhang, Xinyi Jiao, Yinghuai Wei, Hao Wu, Zheqi Pan, Mei Liu, Julin Yuan, Meng Ni, Zhiming Zhou, Lingzao Zeng and Dingjiang Chen
Quantitative information on regional cropland runoff is important for sustainable agricultural water quantity and quality management. This study combined the Soil Conservation Service Curve Number (SCS-CN) method and geostatistical approaches to quantify...
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