Preprints
Filtering by Subject: Engineering
Towards A Smart City Concept - Machine Learning Smarts for the Estimation of Future Temperature Rise in Tabuk City
Published: 2024-05-11
Subjects: Education, Engineering, Life Sciences, Physical Sciences and Mathematics
In the Middle Eastern peninsula especially in Saudi Arabia, there is a varsity temperature variation among the individual regions. As far as the city of Tabuk is concerned, no study has been conducted, regarding climate change (the temperature rise) in the Tabuk region and its implications on society and for the flagship “Future Smart Cities” concept. In this paper, machine learning algorithms [...]
Global assessment of directional effects in the inter-calibration of optical satellite instruments with the TRUTHS mission
Published: 2024-05-10
Subjects: Engineering
Upcoming SI-Traceable Satellite (SITSat) missions such as TRUTHS aim to achieve an unprecented accuracy for SI-traceable measurements of the Earth-reflected radiation. These measurements will support the generation of low uncertainty climate records and significantly improve the calibration of other sensors. In such a context, the uncertainty will be limited by the calibration transfer process [...]
CO2 sensitivity studies under laboratory and outdoor conditions as contribution to climate change discussions
Published: 2024-05-02
Subjects: Engineering, Physical Sciences and Mathematics
The EU considers climate change as an existential threat and wants to reduce net greenhouse gas emissions by at least 55% by 2030 and down to 0% by 2050 within the "EU Green Deal" and economic growth should be decoupled from the use of energy resources. It therefore sees fighting climate change as one of the most important targets1. There is considerable dis-consensus about growing CO2 levels in [...]
Integrating Vision-Based AI and Language Models for Real-Time Water Pollution Surveillance
Published: 2024-05-01
Subjects: Electrical and Computer Engineering, Engineering
Water pollution has become a major concern in recent years, affecting over 2 billion people worldwide, according to UNESCO. This pollution can occur naturally, such as through algal blooms, or it can be man-made when toxic substances are released into water bodies like lakes, rivers, springs, and oceans. To address this issue and monitor surface-level water pollution in local water bodies, an [...]
Application of Large Language Models in Developing Conversational Agents for Water Quality Education, Communication and Operations
Published: 2024-05-01
Subjects: Engineering
The rapid advancement of Large Language Models (LLMs), such as ChatGPT, has opened new horizons in the field of Artificial Intelligence (AI), revolutionizing the way we can engage with and disseminate complex information. This paper presents an innovative application of ChatGPT in the domain of Water Quality (WQ) management, through the development of an AI Hub. The Hub encompasses a suite of [...]
Nurturing a new industry rooted in geoscience: stakeholder insights on minewater thermal in Scotland.
Published: 2024-04-30
Subjects: Engineering, Social and Behavioral Sciences
Heat decarbonisation is crucial for climate action and to transition towards a sustainable society. Abandoned, flooded mines can be used to provide low-carbon heating and cooling for buildings or as thermal energy storage for district heating networks. Despite the plentiful potential resource that legacy mining infrastructure offers, the current utilisation of minewater thermal resources in the [...]
Innovative Approaches to Bushfire Management and Recovery
Published: 2024-04-20
Subjects: Engineering, Environmental Studies, Social and Behavioral Sciences
In recent years, Australia has faced severe bushfires that have highlighted the need for innovative management and recovery strategies. The catastrophic 2019–2020 bushfire season, one of the most devastating on record, burned over 10.7 million hectares, destroyed approximately 3,000 homes, and resulted in the loss of at least 28 lives and over 500 million wildlife casualties. These events [...]
Point of Care Devices Engaging Green Graphene: An Eco-conscious and Sustainable Paradigm
Published: 2024-04-06
Subjects: Engineering, Medicine and Health Sciences
The healthcare landscape has experienced a profound and irreversible transformation, primarily driven by the emergence of nanomaterial assisted point-of-care (POC) devices. Inclusion of nanomaterials in POC devices have revolutionized healthcare by enabling rapid, on-site diagnostics with minimal infrastructure requirements. Among the materials poised to lead this technological revolution, green [...]
HydroRTC: A Web-Based Data Transfer and Communication Library for Collaborative Data Processing and Sharing in the Hydrological Domain
Published: 2024-03-19
Subjects: Education, Engineering
The exponential growth in data generated by satellites, radars, sensors, and analysis and reanalysis from model outputs for the hydrological domain requires efficient real-time data management and distribution mechanisms. This paper introduces HydroRTC, a web-based data transfer and communication library designed to accelerate large-scale data sharing and analysis. Leveraging next-generation web [...]
Reconciling ultra-emitter detections from two aerial hyperspectral imaging surveys in the Permian Basin
Published: 2024-03-16
Subjects: Engineering
Reducing methane emissions from oil and gas operations is key to minimizing the climate impact of fossil fuels. Two comprehensive aerial studies in 2019 in the Permian Basin revealed excess emissions compared to official estimates. Although both studies suggested high emissions, the estimates from the two aerial surveys seemed to differ greatly: one study measured 153 (+12/-10, 95% CI) metric [...]
Geospatial Modeling and Mapping of Soil Erosion in India
Published: 2024-03-12
Subjects: Civil and Environmental Engineering, Engineering
Soil erosion generally removes the topmost fertile layer of soil, affecting agricultural productivity on a larger scale. As a significant portion of the Indian economy depends on agricultural productivity, granular assessment of the impact of soil erosion becomes critical. However, a national-scale assessment of soil erosion and an impact classification system currently doesn’t exist over India. [...]
Lunar Crater Detection Using YOLOv8 Deep Learning
Published: 2024-03-08
Subjects: Engineering, Physical Sciences and Mathematics
In lunar exploration missions, the detection of lunar craters is essential for scientific inquiry, navigation, and terrain analysis. Conventional approaches for identifying craters depend on labor- and time-intensive manual inspection or semi-automated procedures. An effective and precise way to automate this procedure is through the use of deep learning algorithms. In this brief message, we [...]
Fiber-based super-bridging agents improve flotation and settling during water treatment
Published: 2024-03-07
Subjects: Chemical Engineering, Civil and Environmental Engineering, Engineering
Increasing demand for water poses a major challenge to the water treatment industry. To maintain their floc removal efficiency, water treatment plants are expected to require larger separation units and use more chemicals, namely, coagulants and flocculants. Conventional physicochemical treatments produce flocs that are limited in size, which limits floc removal efficiency via gravitation-based [...]
EarthObsNet: A Comprehensive Benchmark Dataset for Data-Driven Earth Observation Image Synthesis
Published: 2024-03-03
Subjects: Engineering
Remote Sensing imagery serves as an important data source for Earth surface monitoring and surface processes studies. It is highly likely that RS imagery will become more and more indispensable in the future due to its high scalability and compatibility with data-driven models and ever-evolving software and hardware that become increasingly good at processing large datasets. Although its [...]
Landslide Regime Shift Detector (LRSD) for Landslide Early Warning Systems
Published: 2024-02-18
Subjects: Engineering
This research presents the development of a Landslide Regime Shift Detector (LRSD) which integrates advanced prediction models to provide insights into regime shifts within substantial landslide bodies. Our primary focus lies in the identification of these shifts, emphasizing that LRSD does not merely detect accelerations but discerns exceptional accelerations, defined in our context as [...]