The paper examines a machine learning algorithm (Random Forests) in comparison with Multivariate Linear Regression, for a data-set of 3500 transactions of residential apartments in Nicosia District in Cyprus. The methodology suggested, indicated high accuracy of the Random Forests Method, that can be applied in automated valuation models and CAMA systems.

Tropospheric delay comprises one of the most important error sources in satellite navigation and is caused when radio signals broadcasted by GPS satellites propagate into the atmosphere. This study aims to evaluate the tropospheric delay performance for GNSS integrated water vapor (IWV) estimation by using GPT2w model, ECMWF's IFS reanalysis model and ground meteorological data from two stations of the permanent network of Cyprus and Greece.

Marine scientific understanding is fundamental to managing human activities that affect this environment, and ocean observations have a particularly important role in enhancing the knowledge base of our oceans. Scientists have to act in an ethical way and apply all the fundamental principles. This article is an attempt to highlight the core values applicable to ocean observation, which can then be improved and adopted as part of geoethics and the stewardship of the Earth system.

Field spectroscopy has been used, in order to study possible differences in the spectral signatures of vegetation so to be used for the systematic monitoring of military landscapes that comprise underground military structures. In this paper, underground military structures over vegetated areas were monitored, using both ground and satellite remote sensing data. Several ground measurements have been carried out in military areas, throughout the phenological cycle of plant growth.

Geothermal resource is heat energy that can be recovered from underground in the Earth. As part of the European H2020 GEMex project, 3D geological models were constructed for the geothermal sites of Los Humeros and Acoculco in Mexico. These models allow a better understanding of the rock types and structure when targeting deep sources of geothermal energy; they will be updated during the project, serving as a framework for simulating the geothermal system.

The scientific objective is to find a simple understandable model linking human smart characteristics to a group of socio-demographic and urban environment indices, applied to the case of Limassol Urban Complex, Cyprus. The results reveal that the human smart characteristics are significantly correlated with demographic dynamics and built infrastructure characteristics. For instance creativity and open-mindedness appear in most densely urban areas.

We believe that project managers can benefit from using programming languages in their work. In this paper we show several simple examples of how python programming language can be used for some of the basic text manipulation tasks, as well as describe more complicated test cases using a HORIZON 2020 type European project as an example.

The here submitted paper represents the first results of a larger project named GEMex. The objective of the project – a Mexican–European cooperation – is to explore the geothermal potential of deep unconventional systems like enhanced geothermal systems (EGS) and super-hot geothermal systems (SHGS). New exploitation approaches and technologies are being developed, allowing the use of geothermal resources under challenging technical demands.

Storm Britta on 31 October–1 November 2006 was an important North Sea storm with a high surge along the coast of the Netherlands and Germany and a significant number of high wave reports. The paper presents an analysis of the national tide gauge records of the United Kingdom, the Netherlands, Germany, and Denmark to track the storm surge around the North Sea and extract the short period component that may be linked with large coastal wave strikes.

This study focus on minor metallic elements distribution in waste incineration bottom ashes (BAs) using chemical microanalysis methods to study the BAs resource potential. BAs contained from 8.8 wt % to 23.1 wt % of metallic elements concentrated mostly in metallic fragments and metallic inclusions (usually composed of more than one metal). Their recovery might be possible, however, due to physical properties of metallic components, advanced methods of BAs processing need to be applied.

GeoMechanics Technologies has investigated the surface deformation that occurred at a geothermal field operation located in New Zealand. An integrated 3-D geological model, geomechanical model, and fluid and heat flow model were developed for this study. A calibrated geomechanical model was then applied to simulate future scenarios to predict surface subsidence and provide a guideline to optimize field development plans.

The presented study is conducted within the scope of the joint research project "Hessen 3D 2.0" (BMWI-FKZ: 0325944) and aims at assessing the hydrothermal potential of the Pechelbronn Group for direct heat use by means of an integrated 3-D structural-geothermal model that serves to locate potential exploration areas. The assessment is based on reservoir temperature, (net)thickness of the reservoir horizon as well as on petrophysical, thermal and hydraulic rock properties.

The water level of the Waiwera geothermal reservoir increased in the hours and days after the Kaikoura earthquake on 14 November 2016. We determined in a continuous time series consisting of monthly means of water level data and pumping rates starting in 1986 if events above a certain strength alter groundwater dynamics at Waiwera. A clear correlation cannot be proven but none of the recorded earthquakes led to such a high energy density in Waiwera as the Kaikoura event did.

The impact of humidity and gas (CO₂, N₂, CH₄) on saliniferous mineral compositions was studied and show dissolution-recrystallization reactions involving halite, sylvite, kieserite, carnallite and kainite. CO₂ causes acidification of the aqueous phase which enhances dissolution rate and reaction kinetics. These simulations allow for the evaluation of the interachtion between and host rock and fillings along the walls of storage caverns in salt deposits.

Accuracy of well inflow modelling in different numerical simulation approaches was compared for a multi-lateral well with laterals of varying diameter. For homogeneous cases, all simulators generally were reasonably close in terms of the total well flow (deviations smaller than 4 %). The distribution of the flow over the different laterals in a well can vary significantly between simulators (> 20 %). In a heterogeneous case with a fault the deviations between the approaches were much larger.

In this paper, we have identified the main residues available in Kazakhstan for bioenergy production as well as their geographical distribution. The bioenergy potential is estimated about 485.36 MJ (or 16.582 Mt of coal equivalent), which account for about 30 % of total current energy consumption of the country. The northern and southern provinces of Kazakhstan have the highest bioenergy potential from wheat residues, while the dryland central provinces have the least potential.

The predictive performance of random forests (a machine learning algorithm) and three configurations of Prophet (a method largely implemented in Facebook) is assessed in daily streamflow forecasting in a river in the US. Random forests perform better compared to the utilized benchmarks, i.e. a naïve method and a multiple regression linear model, while Prophet's performance is subject to improvements. Random forests are recommended for daily streamflow forecasting.