Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 9901 - 9930 of 302421

Full-Text Articles in Physical Sciences and Mathematics

Deep Q-Learning Framework For Quantitative Climate Change Adaptation Policy For Florida Road Network Due To Extreme Precipitation, Orhun Aydin Oct 2023

Deep Q-Learning Framework For Quantitative Climate Change Adaptation Policy For Florida Road Network Due To Extreme Precipitation, Orhun Aydin

I-GUIDE Forum

Climate change-induced extreme weather and increasing population are increasing the pressure on the global aging road networks. Adaptation requires designing interventions and alterations to the road networks that consider future dynamics of flooding and increased traffic due to the growing population. This paper introduces a reinforcement learning approach to designing interventions for Florida's road network under future traffic and climate projections. Three climate models and a tide and surge model are used to create flooding and coastal inundation projections, respectively. The optimal sequence of decisions for adapting Florida's road network to minimize flooding-related disruptions is solved by using a graph-based …

Go to article

Graph Transformer Network For Flood Forecasting With Heterogeneous Covariates, Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang, Shaowen Wang, Giri Narasimhan Oct 2023

Graph Transformer Network For Flood Forecasting With Heterogeneous Covariates, Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang, Shaowen Wang, Giri Narasimhan

I-GUIDE Forum

Floods can be very destructive causing heavy damage to life, property, and livelihoods. Global climate change and the consequent sea-level rise have increased the occurrence of extreme weather events, resulting in elevated and frequent flood risk. Therefore, accurate and timely flood forecasting in coastal river systems is critical to facilitate good flood management. However, the computational tools currently used are either slow or inaccurate. In this paper, we propose a Flood prediction tool using Graph Transformer Network (FloodGTN) for river systems. More specifically, FloodGTN learns the spatio-temporal dependencies of water levels at different monitoring stations using Graph Neural Networks (GNNs) …

Go to article

Semantic Lung Segmentation From Chest X-Ray Images Using Seg-Net Deep Cnn Model, Dathar Abas Hasan, Umed Hayder Jader Oct 2023

Semantic Lung Segmentation From Chest X-Ray Images Using Seg-Net Deep Cnn Model, Dathar Abas Hasan, Umed Hayder Jader

Polytechnic Journal

Implementing an accurate image segmentation to extract the lung shape from X-ray images is a vital step in designing a CAD system that diagnoses various types of chest diseases. Lung segmentation is a complex process due to the blurred regions that separate the lung area and the rest of the image. The conventional image segmentation techniques do not meet the ambitions to achieve precise lung segmentation. In this paper, we utilized the Seg-Net semantic segmentation model as a practical approach to distinguish the lung region pixels in X-ray images. The model involves an encoder network that extracts the data from …

Go to article

Investigating Sucrose And D-Trehalose In Aot Reverse Micelles, Delaney Collier, Bridget L. Gourley Oct 2023

Investigating Sucrose And D-Trehalose In Aot Reverse Micelles, Delaney Collier, Bridget L. Gourley

Annual Student Research Poster Session

Reverse micelles are nanosized structures that encapsulate small water pools and allow us to investigate the fundamental interactions of small organic molecules in nanoconfinement. The behavior of small organic molecules, sometimes referred to as osmolytes, differs in bulk solution and confinement. Because reverse micelles are a good model for biological nanoconfinement, investigating osmolytes in reverse micelle systems can help us to better understand the role they play in biological systems. Optical spectroscopy such as UV-Vis, Fluorescence, and Red Edge Excitation (REES) was used to probe the environment of the reverse micelles. Three small organic molecules were studied: a monosaccharide, d-glucose, …

Go to article

The Fierce Green Fire: Vol. 14 Issue 5, Wofford College Environmental Studies Program Oct 2023

The Fierce Green Fire: Vol. 14 Issue 5, Wofford College Environmental Studies Program

The Fierce Green Fire

No abstract provided.

Go to article

Investigating Rare Genetic Variants Of Unknown Significance In Ldha, Animesh Dali, Brennan Jensen, Olivia Lockette, Duyen Nguyen Oct 2023

Investigating Rare Genetic Variants Of Unknown Significance In Ldha, Animesh Dali, Brennan Jensen, Olivia Lockette, Duyen Nguyen

Annual Student Research Poster Session

The exponential expansion and advancement of genetic sequencing has revealed the molecular basis of many genetic diseases. However, many genetic mutations are still classified as variants of unknown significance (VUS). Our lab focused on eleven missense variants in Lactate Dehydrogenase A (LDHA), an enzyme vital in anaerobic respiration. The intent with our research is to produce data on the kinetic functionality of wild type LDHA and compare this to its mutants of unknown significance. This data, supplemented with the structural information of the mutants can help reduce the ambiguity in the diagnosis of genetic disorders involving the LDHA enzyme. Currently, …

Go to article

Longboard Classification Using Machine Learning, Tuan (Kevin) Le, Evans Sajtar, Mckenzie Lamb Oct 2023

Longboard Classification Using Machine Learning, Tuan (Kevin) Le, Evans Sajtar, Mckenzie Lamb

Annual Student Research Poster Session

There are several techniques a rider can choose from that they can perform being distributed along the long-board ride. This research aims to create a machine-learning model that can efficiently classify these techniques at different periods of time using raw acceleration data. This paper presents the complete workflow of the application. This application involves analytical geometry, multidimensional calculus, and linear algebra and can be used to visualize and normalize time-invariant object paths. This model focuses on displacement data calculated from raw acceleration data and gyro sensor data from a smartphone application called "Physics Toolbox Sensor Suite". We extracted features from …

Go to article

An Introduction To The Veritas Observatory, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer Oct 2023

An Introduction To The Veritas Observatory, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer

Annual Student Research Poster Session

Located at the base of Mount Hopkins, Arizona, at an elevation of approximately 4200 feet, the Very Energetic Radiation Imaging Telescope Array System (VERITAS) is a ground-based gamma ray observatory containing four Cherenkov telescopes designed to detect very high energy gamma rays with energies ranging from 100GeV to 10TeV using the Imaging Atmospheric Cherenkov Technique. In April 2007, VERITAS began successful operations with all four telescopes. As of today, over 15 years of data has been taken by the VERITAS array, stored in an archive of data, and used for a wide variety of research, publications, PhD theses, and conventions …

Go to article

Differential Equations In Stock Prediction Analysis, Alan Tuan Le, Mai Le, Sutthirut Charoenphon Oct 2023

Differential Equations In Stock Prediction Analysis, Alan Tuan Le, Mai Le, Sutthirut Charoenphon

Annual Student Research Poster Session

Stock price prediction plays a vital role in financial decision-making and has been an area of extensive research. In this research, we explore the effectiveness of the differential equation of Brownian motion as a method for stock price prediction and compare its performance with two established techniques, ARIMA and XGBoost. Using historical data from Yahoo Finance, we assess the predictive capabilities of these models and analyze their strengths and weaknesses. The findings of this study will shed light on the potential of Brownian motion as a viable approach in financial forecasting and provide valuable insights for investors and researchers in …

Go to article

Analysis Of The Crab Nebula And Pulsar, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer Oct 2023

Analysis Of The Crab Nebula And Pulsar, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer

Annual Student Research Poster Session

Although the Crab Nebula is well understood, the Very Energetic Radiation Imaging Telescope Array System (VERITAS) still regularly observes the Crab's highest energy emissions. These emissions are used to calibrate the telescopes, further, document the system, and investigate the validity of physical models. Our research this summer is geared to analyze data from 2018-2022 to add to an ongoing research project investigating the long term variability of the Crab Nebula’s emission.

Go to article

Cross-Scale Urban Land Cover Mapping: Empowering Classification Through Transfer Learning And Deep Learning Integration, Zhe Wang, Chao Fan, Xian Min, Shoukun Sun, Xiaogang Ma, Xiang Que Oct 2023

Cross-Scale Urban Land Cover Mapping: Empowering Classification Through Transfer Learning And Deep Learning Integration, Zhe Wang, Chao Fan, Xian Min, Shoukun Sun, Xiaogang Ma, Xiang Que

I-GUIDE Forum

Urban land cover mapping is essential for effective urban planning and resource management. Thanks to its ability to extract intricate features from urban datasets, deep learning has emerged as a powerful technique for urban classification. The U-net architecture has achieved state-of-the-art land cover classification performance, highlighting its potential for mapping urban trees at different spatial scales. However, deep learning approaches often require large, labeled datasets, which are challenging to acquire for specific urban contexts. Transfer learning addresses this limitation by leveraging pre-trained deep learning models on extensive datasets and adapting them to smaller urban datasets with limited labeled samples. Transfer …

Go to article

Fast And Slow Microphysics Regimes In A Minimalist Model Of Cloudy Rayleigh-Bénard Convection, Raymond A. Shaw, Subin Thomas, Prasanth Prabhakaran, Will Cantrell, Mikhail Ovchinnikov, Fan Yang Oct 2023

Fast And Slow Microphysics Regimes In A Minimalist Model Of Cloudy Rayleigh-Bénard Convection, Raymond A. Shaw, Subin Thomas, Prasanth Prabhakaran, Will Cantrell, Mikhail Ovchinnikov, Fan Yang

Michigan Tech Publications, Part 2

A minimalist model of microphysical properties in cloudy Rayleigh-Bénard convection is developed based on mass and number balances for cloud droplets growing by vapor condensation. The model is relevant to a turbulent mixed-layer in which a steady forcing of supersaturation can be defined, e.g., a model of the cloudy boundary layer or a convection-cloud chamber. The model assumes steady injection of aerosol particles that are activated to form cloud droplets, and the removal of cloud droplets through sedimentation. Simplifying assumptions include the consideration of mean properties in steady state, neglect of coalescence growth, and no detailed representation of the droplet …

Go to article

Solving Geospatial Problems Under Extreme Time Constraints: A Call For Inclusive Geocomputational Education, Coline C. Dony Oct 2023

Solving Geospatial Problems Under Extreme Time Constraints: A Call For Inclusive Geocomputational Education, Coline C. Dony

I-GUIDE Forum

To prepare our next generation to face geospatial problems that have extreme time constraints (e.g., disasters, climate change) we need to create educational pathways that help students develop their geocomputational thinking skills. First, educators are central in helping us create those pathways, therefore, we need to clearly convey to them why and in which contexts this thinking is necessary. For that purpose, a new definition for geocomputational thinking is suggested that makes it clear that this thinking is needed for geospatial problems that have extreme time constraints. Secondly, we can not further burden educators with more demands, rather we should …

Go to article

Curriculum Design Of Artificial Intelligence And Sustainability In Secondary School, Jinyi Cai, Mei-Po Kwan, Chunyu Hou, Dong Liu, Yeung Yam Oct 2023

Curriculum Design Of Artificial Intelligence And Sustainability In Secondary School, Jinyi Cai, Mei-Po Kwan, Chunyu Hou, Dong Liu, Yeung Yam

I-GUIDE Forum

Artificial Intelligence is revolutionizing numerous sectors with its transformative power, while at the same time, there is an increasing sense of urgency to address sustainability challenges. Despite the significance of both areas, secondary school curriculums still lack comprehensive integration of AI and sustainability education. This paper presents a curriculum designed to bridge this gap. The curriculum integrates progressive objectives, computational thinking competencies and system thinking components across five modules—awareness, knowledge, interaction, empowerment and ethics—to cater to varying learner levels. System thinking components help students understand sustainability in a holistic manner. Computational thinking competencies aim to cultivate computational thinkers to guide …

Go to article

Gaxin2-Xo3 Surface Pyramids Interaction With Formaldehyde: Thermodynamic And Sensing Analysis, Mudar Ahmed Abdulsattar Oct 2023

Gaxin2-Xo3 Surface Pyramids Interaction With Formaldehyde: Thermodynamic And Sensing Analysis, Mudar Ahmed Abdulsattar

Karbala International Journal of Modern Science

GaxIn2-xO3 surface pyramids' electronic structures are investigated using density functional theory, including dispersion corrections. Application of GaxIn2-xO3 surface pyramids as a gas sensor for formaldehyde is also performed and compared with experimental findings. These findings show that the energy gap of these pyramids follows closely with the bulk values. The energy gap increases between the two limits, In2O3 and Ga2O3. Applying GaxIn2-xO3 surface pyramids as a gas sensor uses transition state theory formalism. Thermodynamic quantities such as activation Gibbs energy, enthalpy, and entropy are needed for temperature-dependent calculations. A comparison of sensor response which is proportional to reaction rate as …

Go to article

Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian Oct 2023

Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian

I-GUIDE Forum

Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …

Go to article

A Spatiotemporal Synthesis Of High-Resolution Salinity Data With Aquaculture Applications, Dong Liang, Jeremy M. Testa, Cassie Gurbisz, Lora A. Harris Oct 2023

A Spatiotemporal Synthesis Of High-Resolution Salinity Data With Aquaculture Applications, Dong Liang, Jeremy M. Testa, Cassie Gurbisz, Lora A. Harris

I-GUIDE Forum

Technological advancement and the desire to better monitor shallow habitats in the Chesapeake Bay, Maryland, United States led to the initiation of several high-resolution monitoring programs such as ConMon (short for “Continuous Monitoring”) measuring oxygen, salinity, and chlorophyll-a at a 15-minute frequency. These monitoring efforts have yielded an enormous volume of data and insight into the condition of the tidal water of the Bay. But this information is underutilized in documenting the fine-scale variability of water quality, which is critical in identifying the link between water quality and ecological responses, partly due to the challenges in integrating monitoring data collected …

Go to article

2023 October 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Oct 2023

2023 October 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Go to article

Peatmoss: Mining Pre-Trained Models In Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis Oct 2023

Peatmoss: Mining Pre-Trained Models In Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis

Computer Science: Faculty Publications and Other Works

Developing and training deep learning models is expensive, so software engineers have begun to reuse pre-trained deep learning models (PTMs) and fine-tune them for downstream tasks. Despite the widespread use of PTMs, we know little about the corresponding software engineering behaviors and challenges. To enable the study of software engineering with PTMs, we present the PeaTMOSS dataset: Pre-Trained Models in Open-Source Software. PeaTMOSS has three parts: a snapshot of (1) 281,638 PTMs, (2) 27,270 open-source software repositories that use PTMs, and (3) a mapping between PTMs and the projects that use them. We challenge PeaTMOSS miners to discover software engineering …

Go to article

The Influence Of Spatiotemporal Variation In Food Web Models, Cecilia E. Heuvel Oct 2023

The Influence Of Spatiotemporal Variation In Food Web Models, Cecilia E. Heuvel

Electronic Theses and Dissertations

Aquatic ecosystems are constantly adapting to fluxes in season, temperature, nutrient cycling, and prey availability. Consequently, aquatic food webs are dynamic, and relationships between species are perpetually changing as organisms and primary producer communities adapt to current environmental conditions both in time and space. Despite this knowledge however, many food web studies continue to use temporally static and spatially homogenous representations of food webs. This thesis proposes that a detailed investigation of temporal and spatial trends in a large lake ecosystem can improve our understanding of the mechanisms and drivers of spatial and temporal variation in food web structure and …

Go to article

Substituent Effects And Mechanistic Insights On The Catalytic Activities Of (Tetraarylcyclopentadienone)Iron Carbonyl Compounds In Transfer Hydrogenations And Dehydrogenations, Bryn K. Werley, Xintong Hou, Evan P. Bertonazzi, Anthony Chianese, Timothy W. Funk Oct 2023

Substituent Effects And Mechanistic Insights On The Catalytic Activities Of (Tetraarylcyclopentadienone)Iron Carbonyl Compounds In Transfer Hydrogenations And Dehydrogenations, Bryn K. Werley, Xintong Hou, Evan P. Bertonazzi, Anthony Chianese, Timothy W. Funk

Chemistry Faculty Publications

(Cyclopentadienone)iron carbonyl compounds are catalytically active in carbonyl/imine reductions, alcohol oxidations, and borrowing hydrogen reactions, but the effect of cyclopentadienone electronics on their activity is not well established. A series of (tetraarylcyclopentadienone)iron tricarbonyl compounds with varied electron densities on the cyclopentadienone were prepared, and their activities in transfer hydrogenations and dehydrogenations were explored. Additionally, mechanistic studies, including kinetic isotope effect experiments and modifications to substrate electronics, were undertaken to gain insights into catalyst resting states and turnover-limiting steps of these reactions. As the cyclopentadienone electron density increased, both the transfer hydrogenation and dehydrogenation rates increased. A catalytically relevant, trimethylamine-ligated iron …

Go to article

How Sensitive Are Catchment Runoff Estimates To On-Farm Storages Under Current And Future Climates?, David E. Robertson, Hongxing Zheng, Jorge L. Pena-Arancibia, Francis H S Chiew, Santosh Aryal, Martino E. Malerba, Nicholas J. Wright Oct 2023

How Sensitive Are Catchment Runoff Estimates To On-Farm Storages Under Current And Future Climates?, David E. Robertson, Hongxing Zheng, Jorge L. Pena-Arancibia, Francis H S Chiew, Santosh Aryal, Martino E. Malerba, Nicholas J. Wright

Climate Science Research Articles

Storage of water in farm dams is important to support irrigation, stock requirements and domestic uses when reticulated water is unavailable. Farm dams that fill by intercepting landscape runoff change the total volume and seasonality of catchment streamflow, potentially impacting water policy outcomes. While numerous studies have quantified how climate change and farm dams independently change streamflow characteristics, few studies have investigated their interactions. This study investigates the interactions between farm dams and climate change in the Murray-Darling Basin of southern and eastern Australia. We use hydrological modelling that explicitly represent farm dams and remotely sensed data describing historical farm …

Go to article

Acceptorless Dehydrogenation Of Amines Using Metal Ligand Cooperative Catalysts, Amrit Singh Oct 2023

Acceptorless Dehydrogenation Of Amines Using Metal Ligand Cooperative Catalysts, Amrit Singh

Electronic Thesis and Dissertation Repository

Catalytic acceptorless dehydrogenation (AD) is an atom economic route for synthesizing imines and enamines, which are common final or intermediary functionalities in various pharmaceutically relevant molecules and materials. Imines, for example, are present in a wide range of syntheses due to their versatility. Meanwhile, indole is the 9th most common nitrogen heterocycle in FDA approved drugs. For imine synthesis via AD, selectivity challenges remain. Reactions often afford a product mixture of imine, nitrile, and a secondary amine. Previously, we showed that the metal-ligand cooperative (MLC) catalyst [Ru(Cp)(PPh2NBn2)(MeCN)]PF6 showed improved selectivity over a …

Go to article

Broadband Equity, Access, And Deployment In Nevada, Brad Wimmer Oct 2023

Broadband Equity, Access, And Deployment In Nevada, Brad Wimmer

Policy Briefs and Reports

The $45.45 billion Broadband, Equity, Access, and Deployment (BEAD) program’s primary objective is to extend broadband service to all unserved and underserved locations in the U.S. and its territories. Several industry studies predict that the BEAD program can meet its goal of providing universal access to broadband service if eligible entities execute their grant programs well. My review of the BEAD program indicates that policy makers can enhance the likelihood of program success by designing competitive grant programs that give applicants the incentive to undercut the subsidies proposed by their rivals and provide applicants the flexibility to design networks that …

Go to article

The Medieval Climate Anomaly: Drought And Societal Collapse, T. Elliott Arnold Oct 2023

The Medieval Climate Anomaly: Drought And Societal Collapse, T. Elliott Arnold

Sustainability Research & Practice Seminar Presentations

Sustainability Research & Practice Seminar on "The Medieval Climate Anomaly: Drought and Societal Collapse" by Professor (Thomas) Elliott Arnold, Department of Earth & Space Sciences, West Chester University of Pennsylvania.

Go to article

Matches Made In Heaven Or Somewhere: Personalized Query Refinement Gold Standard Generation Using Transformers, Yogeswar Lakshmi Narayanan Oct 2023

Matches Made In Heaven Or Somewhere: Personalized Query Refinement Gold Standard Generation Using Transformers, Yogeswar Lakshmi Narayanan

Electronic Theses and Dissertations

The foremost means of information retrieval, search engines, have difficulty searching into knowledge repositories, e.g., the web, because they are not tailored to the users' differing information needs. User queries are, more often than not, under-specified or contain ambiguous terms that also retrieve irrelevant documents. Query refinement is the process of transforming users' queries into new refined versions without semantic drift to enhance the relevance of search results. Prior query refiners have been benchmarked on ad-hoc web retrieval datasets following weak assumptions that users' input queries improve gradually within a search session. Existing methods also have employed additional metadata, such …

Go to article

Modification Of Thermally Activated Delayed Fluorescence Emitters Comprising Acridan– Pyrimidine Moieties For Efficient Sky-Blue To Greenish-Blue Oleds, Yi-Zhen Li, Hsuan-Chi Liang, Chia-Hsun Chen, Ching-Huang Chiu, Bo-Yen Lin, Jake A. Tan, Jiun-Haw Lee, Tien-Lung Chiu, Man-Kit Leung Oct 2023

Modification Of Thermally Activated Delayed Fluorescence Emitters Comprising Acridan– Pyrimidine Moieties For Efficient Sky-Blue To Greenish-Blue Oleds, Yi-Zhen Li, Hsuan-Chi Liang, Chia-Hsun Chen, Ching-Huang Chiu, Bo-Yen Lin, Jake A. Tan, Jiun-Haw Lee, Tien-Lung Chiu, Man-Kit Leung

Chemistry Faculty Publications

Thermally activated delayed fluorescence (TADF) is a promising approach to harvest triplet excitons and achieve high-performance organic light-emitting diodes (OLEDs) for displays. In this study, we synthesized two new TADF emitters, 4Ac25CzPy and 4Ac35CzPy, featuring acridan–pyrimidine–carbazole moieties. Remarkably, a slight modification in the carbazole group position enables precise control of luminous color, resulting in emissions at 483 nm and 494 nm for 4Ac25CzPy and 4Ac35CzPy, respectively, in the electroluminescent device. Both compounds exhibit small energy difference between their singlet and triplet states (DEST) of 0.14 eV and 0.15 eV, confirming their TADF characteristics. Notably, OLEDs utilizing 4Ac35CzPy achieve outstanding performance …

Go to article

A Classical Fall Statistics Problem, Timothy L. Meyer Oct 2023

A Classical Fall Statistics Problem, Timothy L. Meyer

Cornhusker Economics

An evaluation of traditional baseball measures and suggestions for alternatives, centering on statistics related to the offensive quality of a player.

Go to article

Draft - Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm) Oct 2023

Draft - Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm)

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Go to article

Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) - Ramsay Elementary School, Environmental Resource Management (Erm) Oct 2023

Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) - Ramsay Elementary School, Environmental Resource Management (Erm)

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Go to article

First Prev Next Last