bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the handling and preparation of samples in the resonant column and cyclic torsional shear equipment
Authors: Tijera A , Galindo R A , Asanza E 
Published: June 2023

AbstractIn many geotechnical applications, the shear modulusGis the one that governs the dynamic behaviour of the soil, and many fields and laboratory methods are focused on calculating it. This is the case of the resonant column and cyclic torsional shear tests, which allow both the modulusGand the dampingDto be obtained in different strain ranges. These laboratory tests are carried out in a triaxial cell and in both tests, torsion is applied to the upper part of the specimens, which has allowed new commercial devices to group both techniques in a piece of a single equipment. The combination of the two tests makes it possible to obtain the dynamic properties of the soil over a wide range of strains, 10-4≤γ≤1%.Due to the small strains reached in these tests, less than 1%, the correct preparation of the specimens and their mounting in the triaxial cell are factors of vital importance for the reliability of the test results. In undisturbed samples, the sample should be handled, and the specimen carved with special care, trying not to alter the structure of the original soil. For remoulded clay specimens, static compaction in an external press and subsequent mounting on the triaxial cell pedestal are recommended. Saturation can present difficulties, as in these tests drainage and saturation can only be carried out from the bottom of the specimen. Consolidation times can be long. Sand specimens should be made by placing a mould on the pedestal of the triaxial cell and applying a vacuum. The method of freezing the specimen is discarded due to the long assembly time.
Data optimization for the knowledge bases in the oil and gas Monitoring-While-Drilling (MWD) Systems
Authors: Poteriailo Liudmyla , Sheketa Vasyl , Romanyshyn Yulia , Krot Pavlo 
Published: June 2023

Abstract
The ability of a knowledge-oriented system to learn requires the selection and organization of data. The article is devoted to the disclosure of the stages of data preparation for the application of case-based procedures to support decision-making by the operator of the technological process in the field of oil and gas wells drilling. The presented concept allows concentrating expert experience in the subject area and satisfies the criteria of the main sources of knowledge required for the functioning of case-based considerations. The main potential of artificial intelligence to learn is based on semantic dictionaries of the subject area, case databases in the form of knowledge bases, metrics of similarity, adaptation and configuration containers, which are identified as the sources of knowledge. The effectiveness of using computer simulators as a platform for experimental research of new models of complex technological processes is estimated.
Analysis of changes of the vegetation condition on the area of the closed Prosper-Haniel mine in 1984-2021 using multispectral satellite images
Authors: Pawlik Marcin , Rudolph Tobias , Bernsdorf Bodo 
Published: June 2023

Abstract
Mining processes have a significant impact on the surrounding environment even after the exploitation has ceased. Today a continuous monitoring of post-mining processes in the areas of water management, vegetation and air pollution is important. In the project “Digital Twin – Integrated Geomonitoring” funded by the RAG Stiftung (no.20-0013) and carried out in cooperation with the Geological Survey of North-Rhine Westphalia, scientists are investigating the possibilities of integrating and fusing data from multiple sources (mining and geological maps, in-situ measurements, drone flights and satellite missions). The goal is to understand the causes and phenomena occurring on the Earth’s surface and thus to generate a process understanding. The key issue of this project is geo-monitoring of the environment in mining areas using vegetation indicators. This paper presents an analysis of the vegetation health of the cover for the period 1984-2021 using selected remote sensing indicators: NDVI, GNDVI, SAVI, MSAVI, NDWI and MNDWI. The studies indicate the possibility of long-term spatial-temporal observations of a selected test area in order to observe the impact of post-mining processes in the area of the closed Prosper-Haniel mine.
The use of UAVs in supporting the preservation of the industrial and mining heritage in the Ruhr area
Authors: Haske B , Tiganj J , Bernsdorf B , Rudolph T 
Published: June 2023

Abstract
Over the last decades, all hard coal mines (the last one in 2018) and many industrial facilities (e.g. coking plants, steel mills) have been closed in the Ruhr region as part of an ongoing, long-term transition process. The centuries-old mining tradition is nevertheless very much embedded in the population. For this reason, the monuments of the industrial age are regarded as defining, identity-forming landmarks that must be preserved as original as possible in the future - not only in the Ruhr region, but also in many comparable regions in Germany (e.g. Saarland, Ibbenbüren or the Aachen area) and worldwide. Extreme weather conditions caused by the fast progressing climate change are affecting these structures of disused steel mills or coking plants. Cracks, paint spalling and other material damage develop, making expensive refurbishment or, in the worst case, demolition necessary. Climate change also affects the subsoil and thus the stability of the facilities by negative environmental influences such as drought or moisture. As part of a feasibility study, the Research Center of Post-Mining is developing an innovative method for non-destructively assessing the condition of monuments of industrial and mining heritage. UAVs (Unmanned Aerial Vehicle) equipped with optical, thermal and multispectral sensors are being used for the first time for this purpose. They collect high precision and high-resolution data, which is viewed and fused together, making it possible to model the complex buildings comprehensively in 3D (+ time) and to examine them for possible damage. In the long term, the highly accurate 3D-models with all their information will be integrated into the spatial data infrastructure of the Ruhr Regional Association (RVR) and thus made available to a broad public and experts from the fields of history, architecture or monument preservation.
Grain segmentation in sandstone thin-section based on computer analysis of microscopic images
Authors: Dabek Przemyslaw , Chudy Krzysztof , Nowak Izabella , Zimroz Radoslaw 
Published: June 2023

Abstract
The segmentation of minerals visible in sandstone thin-sections is a necessary part of microscopic estimation of mineral composition, the most important part of petrographic and sedimentological studies. This process is often a hard task due to the difficulty in determining the exact boundaries between grains, mainly caused by secondary alteration in minerals, etching of grains and pore-space filling by cements. Structural features play a very important role in mineral identification and undoubtedly without their use mineral recognition in thin sections gives many misclassification results. Calculation of each grain area is an important part of the process that is very time-consuming if done by-hand. Presented method provides a precise solution while mixing automated and non-automated approach. Photos of a sandstone thin section were taken using a Nikon Eclipse LV100N POL polarizing microscope, at 200x magnification, in transmitted light, with crossed polarizers. Then to determine the borders and therefore area of distinct grains, a sample image has been chosen. Initial contours have been created by-hand inside graphic application on a tablet device, as the non-automated part of the presented method. Afterward, the layer with marked boundaries was analyzed by computer software. In the automated part of the method, marked contours of grains were detected inside the algorithm with areas calculated afterward.
Application of Terrestrial Laser Scanning in Inventories of Architectural Objects and Building Structures – Illustrated by St. Lazarus’ Church in Wrocław (Poland)
Authors: Karbowiak Kinga , Kasza Damian 
Published: June 2023

Abstract
Laser scanning technology is currently one of the most popular geodetic measurement methods, used for example in preparing inventories of architectural objects and of building structures. Its advantage results from high measurement effectiveness (the possibility to acquire large amounts of data in a relatively short period of time), precision and “resistance” to environmental conditions (the ability to make measurements independently of light or wind conditions, also during light rain or in the presence of limited amounts of dust in the air). This paper presents a method for using the Autodesk Revit environment to construct a 3D model of St. Lazarus’ Church in Wrocław. The model is based on data acquired from in-field measurements using Terrestrial Laser Scanning (TLS). The paper also presents a methodology for the acquisition and processing of such data and includes an evaluation of the precision of both the data and the resulting 3D model. The final result of the presented research comprises a 3D model of St. Lazarus’ Church in Wrocław, together with 2D documentation.
Spatial model of Particulate Matter PM10 in Bekasi City, West Java Province using Landsat-8
Authors: Tamara D , Wibowo A , Shidiq I P A 
Published: June 2023

Abstract
Bekasi was the city with the largest population in West Java Province. In Bekasi, movement mainly used vehicles. This research aims to analyze PM10 spatial pattern in Bekasi City and validity spatial model of PM10 from vehicle volume and Landsat 8 with PM10 from passive sampler as validator. This research used descriptive spatial and statistical root mean square error (RMSE) analysis. Based on PM10 from vehicle volume, large capacity arterial roads covered poorer air quality index. Based on PM10 from Landsat 8, it happened in opposite phenomena. Regarding congestion traffic on small-capacity arterial roads, some points of vehicle volume measurement were congested, and others were not. PM10 with an unhealthy air quality index also could be sourced from residential, commercial & services, and industrial buildings. Then, RMSE spatial model of PM10 from vehicle volume had lowered error than a spatial model of PM10 from Landsat 8. However, if a further analysis was done by considering spatial characteristics (such as land used), several area models were located on the same land used. This research showed that a combination of model errors and their relation to spatial characteristics could be a new approach to assessing model performance.
Taking the advantage of Participatory Geographic Information System (P-GIS) in validating Semeru disaster prone area map in Oro-Oro Ombo, Lumajang
Authors: Irawan L Y , Devy M M R , Prasetyo W E , Farihah S N , Hartono R , Purwanto  
Published: June 2023

Abstract
Desa Oro-Oro Ombo is located on the south-eastern flank of Semeru Volcano. It sits in a disaster-prone area (KRB) level I, II, and III due to the high possibility of being impacted by volcanic ash fall and lahar flow. However, the 1996 KRB map is no longer relevant because the impact of the 2021 Semeru eruption expanded more than expected. As a result, it increased the hazard and vulnerability of the village in the future. Therefore, it is crucial to generate the post-2021 KRB map and study the community’s perspective and knowledge about it. This research adopted a qualitative approach for data-gathering, i.e., in-depth interviews with key informants and the P-GIS methods. Interviews were conducted with the representative of BPBD Lumajang, coordinator of Semeru observatory station, coordinator of lahar flow observatory station, representative of local government, and impacted inhabitants. Meanwhile, P-GIS was applied to validate the KRB map. The study found a difference in the KRB coverage due to the deviation of the village administration boundaries. This research then produced a validated post-2021 Semeru eruption KRB map that can be utilized as the basis for further volcanic disaster risk management of Oro-Oro Ombo. According to the result the current map is going to reform the knowledge towards the recent hazards and risks.
Environmental sanitation knowledge of environmental engineering’s students at Hamzanwadi University
Authors: Widiyanti B L , Hartini H 
Published: June 2023

Abstract
The current study aimed to assess environmental sanitation knowledge of university students, especially the student of the environmental engineering department, who have take the Environmental Sanitation course. The data collect by using a paper-and-pencil instrument test and quantitatively analysed. Determination criteria of level knowledge using total scores or scores of each answer of questions in instrument test and using the normal distribution with 5 classifications. The results of data analysis have revealed that the mean scores of test are 72.1, categorized well, with the highest and lowest values are 87.5 and 25. Students who have a total score categorized as good and excellent exceeds half of the population studied (90.12%). This shows that student of 4th semester for 4 years in environment engineering department classified as good. Based on factors influence the knowledge, in this research shows that probably factor affected the level of student knowledge was 4 parameters: interest, mass media exposure, experience and social relationship.
Manifesting a sustainable circular economy in waste management by linking to Paddy Farming in Gianyar Regency, Bali
Authors: Utomo Marcellinus Mandira Budi , Pieter Levina Augusta Geraldine , Putra Hermitianta Prasetya , Siagian Carmen Minerva 
Published: June 2023

Abstract
Bali is a province that has a source-based waste management program that is in line with the concept of a circular economy, in the form of a waste management facility at the village level (called Tempat Pembuangan Sampah Reduce, Reuse, and Recycle or TPS3R). TPS3R is still in the stage of looking for a sustainable form of business. One of the main products of the waste management facility is compost, which although it is good for improving soil quality and rice field ecosystem, but is still difficult to find consumers, making the continuity of its business in question. By having sustainable business, we can generate more sustainable environmental benefits. The action research was conducted in three villages, i.e., Sayan, Taro, and Pejeng, in Gianyar Regency. It aims to bridge the use of compost for the initiation of healthier paddy farming, while identifying ongoing business processes, potential environmental benefits, opportunities for mainstreaming healthier paddy farming, as well as the role of relevant stakeholders in realizing a circular economy business model that is sustainable and more independent. We interviewed 22 key informants. The results show that all villages have the same business model, viz. utilizing organic waste for composting, plastic waste for sorting and resale, and residual waste that will be sent to landfill because it has no economic value. Although the sale of compost is still an obstacle, there are opportunities if it can be synergized in the practice of paddy farming. This mainstreaming can be further synergized into food security projects that must be allocated from village funds. So, the role of the village government in this case is huge, followed by TPS3R management capabilities, while other parties such as NGOs, academics, and agricultural activists are only limited to functioning as encouragement and companions. If the TPS3R is successful, the village community will receive environmental, social, and economic benefits.
Landslide inventory mapping derived from multispectral imagery by Support Vector Machine (SVM) algorithm
Authors: Suyarto R , Diara IW , Susila KD , Saifulloh M , Wiyanti W , Kusmiyarti TB , Sunarta IN 
Published: June 2023

Abstract
Indonesia is located right on the equator, which receives a lot of heat from the sun and rainfall. Therefore, Indonesia is prone to hydro meteorological natural disasters such as droughts, large sea waves, erosion, floods and landslides. The National Disaster Management Agency (BNPB) noted that floods are followed by landslides of the total hydro-meteorological disasters that most often occur in Indonesia. An inventory of the distribution of multi-year landslides is essential as a basis for disaster mitigation and disaster risk reduction. The research case study was carried out in an area prone to landslides around Mount Batur, Bali-Indonesia. Characteristics of areas with high rainfall and steep slopes (>45%). Detection of areas affected by landslides can be identified with multispectral remote sensing images such as Sentinel 2 Image with a spectral resolution of 13 bands and a spatial resolution ranging from 10-60 m. Data acquisition was carried out in the period 2017-2021. The Support Vector Machine (SVM) algorithm is an alternative for detecting landslide areas in this study. The result showed that the accuracy assessment of the SVM algorithm on the training and validation/testing models is more than 84%. We obtained carrying out a landslide inventory is 25.29 km2. Based on our analysis, the most extensive landslide distribution was found in Batur Village (South and Central), followed by Songan A, Sukawana, Kintamani, and Buahan Villages. This research can be used to develop the Landslide Susceptibility model so that entering the landslide inventory parameters gives good results. As well as a basis for disaster risk reduction (DRR), especially for the community, government, and tourists in this research location.
Community and government preparedness to reduce the risk of land fires on peatlands
Authors: Arisanty Deasy , Putro Herry Porda Nugroho , Anis Moh. Zaenal Arifin , Hastuti Karunia Puji , Abbas Ersis Warmansyah , Aristin Nevy Farista 
Published: June 2023

Abstract
Every year, land fires on peatlands in South Kalimantan occur, primarily during the dry season. Society and local authority preparation is necessary in communicating to land burning in order to lower the probability of land fires and their impact—data collection using interviews and FGDs. The number of respondents interviewed was 28, who came from the Regional Disaster Management Agency or Badan Penanggulangan Bencana Daerah (BPBD) of Banjarbaru, Forest Fire Control Brigade (Manggala Agni) of South Kalimantan Province, and the Fire Brigade of Banjarbaru. We also interviewed the Fire Care Community or Masyarakat Peduli Api (MPA), consisting of 3 village administrators and 15 MPA members. The results of the study result that fire care communities (MPA) and Fire Brigade or Barisan Pemadam Kebakaran (BPK) are always ready to be on standby in controlling land fires in their area. They cooperated with local governments to control and extinguish fires. Local governments are also on standby when fires occur. The provincial government’s infrastructure and water sources for blackouts, routinely conduct patrols and socialization with the community. However, various problems were faced, including limited water sources and infrastructure. Therefore, difficulties in dealing with disasters must be addressed to reduce the risk of broader peatland fires.
Utilization of MODIS Imagery to determine the rice growth stage in West Java Province
Authors: Setiawan Cahyadi , Hardi Ode Sofyan , A’Rachman Fauzi Ramadhoan , Pangestu Dimas Putra , Nabilla Lyzia , Ariyanti Oktavia , Pratiwi Rantian Virta Eka , Arramadhani Abdul Aziz , Wiranata Andi 
Published: June 2023

Abstract
The estimation of lowland rice was not in accordance with the management of rice during the previous planting period. A method that can reach large rice fields quickly is needed to find out the phases of rice to maximize the management of paddy fields properly regardless of the condition of the rice. This study aimed to determine the planting phase of lowland rice based on its area indirectly, while the method used in this study was EVI based on MODIS images for the past ten years. The analysis of rice growth phases in West Java Province using EVI showed differences in rice growth phases in each district. This difference can be seen in the distribution of planting, heading, and harvest season. Vegetation showed that 26 districts in West Java had different planting areas, headings, and harvests each time. With the knowledge of the area, efforts are made so that the management of paddy fields should be based on the age of the rice at that time.
A policy review: are disaster safe schools in Pekalongan Regency necessary?
Authors: Ronggowulan Lintang , Wibowo Yunus Aris , Saputro Hikari Dwi 
Published: June 2023

Abstract
Floods, tidal floods, droughts, and landslides have caused huge material and immaterial losses in Pekalongan Regency. The disaster also had an impact on the education sector. This study aims to determine the need for disaster-safe schools in Pekalongan Regency. This research is a literature study involving book literature, journal articles, news, ministry data reports, government policies, laws, and regulations regarding disaster risk reduction in schools. The results found that around 80% of primary and secondary schools in Pekalongan Regency are located in disaster risk areas. There have been several disaster events that have had a direct impact on schools. The Disaster Risk Reduction (DRR) policy in schools on a global, national and regional scale has been ratified as a guideline for creating a sense of safety in schools. One of the policies of the Indonesian government is the SPAB (Disaster Safe Education Unit) program. The SPAB program offers guidelines for protecting education units against disasters. However, the program implementation needs financial support from the local government. Schools should be involved in DRR actions. The urgency of the SPAB program is very clear to be implemented in Pekalongan Regency.
Multi-Criteria Decision Analysis (MCDA) for estimate economic valuation for flood risk in DKI Jakarta Province
Authors: Marpaung F , Fernando D , Setyaningrum N , Lestari S , Sulistyowati R , Dinanta G P 
Published: June 2023

Abstract
A 4-day-flood occurred in Jakarta Province, Indonesia at the end of 2019 caused severe moral and material losses and weakened the economy. Various flood risk management methods are available to mitigate this damage. Assessing flood risks is thus an essential task for disaster management activities. An accurate flood risk map is required to be developed. In this research, we developed an economic valuation of flood risk that combines a quick flood map with the consequences of flooding using the Multi – Criteria Decision Analysis (MCDA) in the DKI Jakarta area. A quick identification of flood zones was carried out using SAR (Synthetic Aperture Radar). We estimated that about 54.10 km2 area was flooded area with a total economic loss about 1.406 trillion rupiahs. The sector of construction (10.10%), manufacturing (11.51%), wholesale, rental trade and repair of vehicles (13,90%), business activities (6.77%), financial & insurance (7.33%), and information & communication (7.6%) are major affected sectors that contributes 56.86% of the total economic loss from the market value. 20.49%-other service activities implicitly underestimate the value of environmental services and human productivities. To understand this, a detailed analysis of non-market value is needed in understanding the actual total economic loss.