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Fabrication And Characterization Of Dna Templated Electronic Nanomaterials And Their Directed Placement By Self-Assembly Of Block Copolymers, Dulashani Ruwanthika Ranasinghe Weerakkodige Aug 2022

Fabrication And Characterization Of Dna Templated Electronic Nanomaterials And Their Directed Placement By Self-Assembly Of Block Copolymers, Dulashani Ruwanthika Ranasinghe Weerakkodige

Theses and Dissertations

Bottom-up self-assembly has the potential to fabricate nanostructures with advanced electrical features. DNA templates have been used to enable such self-assembling methods due to their versatility and compatibility with various nanomaterials. This dissertation describes research to advance several different steps of biotemplated nanofabrication, from DNA assembly to characterization. I assembled different nanomaterials including surfactant-coated Au nanorods, DNA-linked Au nanorods and Pd nanoparticles on DNA nanotubes ~10 micrometer long, and on ~400 nm long bar-shaped DNA origami templates. I optimized seeding by changing the surfactant and magnesium ion concentrations in the seeding solution. After successful seeding, I performed electroless plating on …

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Isogeometric Reconstruction And Crash Analysis Of A 1996 Body-In-White Dodge Neon, Kendrick M. Shepherd Jul 2022

Isogeometric Reconstruction And Crash Analysis Of A 1996 Body-In-White Dodge Neon, Kendrick M. Shepherd

Faculty Publications

Isogeometric analysis (IGA) has attracted attention from academia and industry because of its high-fidelity results, ability to represent geometry exactly, and potential to streamline the engineering design-through-analysis process. However, one of the greatest challenges limiting the scope of IGA is the ability to rapidly convert CAD geometry into a set of splines suitable for engineering analysis¾particularly for a wide set of shapes of industrial relevance. In this presentation, we describe a new, mathematically rigorous, potentially automatable framework using Ricci flow and subsequent metric optimization through which surface geometries can be rebuilt as sets of watertight, analysis-suitable, boundary-conforming semistructured NURBS patches. …

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Precision Maritime Localization And Landing With Real-Time Kinematic Gnss, Alexander Jordan, Matthew Kent Rydalch, Tim Mclain, Michael Williamson Tabango Jul 2022

Precision Maritime Localization And Landing With Real-Time Kinematic Gnss, Alexander Jordan, Matthew Kent Rydalch, Tim Mclain, Michael Williamson Tabango

Student Works

This paper presents a highly effective method for UAV precision shipboard localization and landing using Real-time Kinematic Global Navigation Satellite System (RTK GNSS). To assess the feasibility of RTK GNSS for this use case we explicitly exclude vision-based localization techniques which are most often presented in the literature. Instead, the methods presented in this paper use only RTK GNSS with an inertial measurement unit aboard the landing pad to estimate the state of the boat and the relative position of the UAV with respect to the boat. We use a continuous-discrete extended Kalman filter combined with a complementary filter for …

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Selecting And Optimizing Origami-Based Patterns For Deployable Space Systems, Diana Stefania Bolanos Jul 2022

Selecting And Optimizing Origami-Based Patterns For Deployable Space Systems, Diana Stefania Bolanos

Theses and Dissertations

This thesis addresses the design difficulties encountered when designing deployable origami-based arrays. Specific considerations regarding thickness accommodation, deployment, and parameter modifications are discussed. Patterns such as the Miura-ori, flasher, and hexagon are investigated, with emphasis placed on pattern modification from zero-thickness to finite-thickness. Applying origami principles to form engineering solutions is a complicated task. Competing requirements may create confusion around which pattern is most favorable for the space array application. Implementing origami into a finite-thickness, engineered system poses challenges that are not manifest in a zero-thickness model. As such, it is important to understand and address the limitations of the …

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The Effect Of Csr On Attitudes Towards Outward And Inward Fdi: A Cross-National Comparison Of Citizen Perceptions In The United States And Kenya, Lindsey Walker Jul 2022

The Effect Of Csr On Attitudes Towards Outward And Inward Fdi: A Cross-National Comparison Of Citizen Perceptions In The United States And Kenya, Lindsey Walker

Undergraduate Honors Theses

This study runs a survey experiment in the United States, the home country, and Kenya, the host country, to understand how CSR (corporate social responsibility) affects views towards MNCs (multinational corporations) and FDI (foreign direct investment) from a business and political standpoint. When analyzing the combined CSR treatment that pays no attention to CSR type, I find little effect on perceptions of FDI and MNCs in both the Kenyan and American sample, besides for how the Americans saw positive spill-over effects of CSR to mean the MNC was a good company in a variety of ways. When the CSR treatment …

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Quantifying Protein Quality To Understand Protein Homeostasis, Hsien-Jung Lavender Lin Jul 2022

Quantifying Protein Quality To Understand Protein Homeostasis, Hsien-Jung Lavender Lin

Theses and Dissertations

Proteins are the center of all biochemical reactions in living organisms. Proteins need to be present at the right time, in the right place, with the correct concentration and have the right shape to carry their designated function. Protein homeostasis is when all proteins in the proteome are in functional balance, and such balance is maintained by synthesis, folding, and degradation machinery. When protein homeostasis is lost, organisms start to age and develop diseases. To truly unveil disease mechanisms and provide more efficient means for treatment and prevention, we need a holistic understanding of the mechanism of protein homeostasis. Currently, …

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Measured Spectral, Directional Radiative Behavior Of Corrugated Surfaces, Kyle S. Meaker Jul 2022

Measured Spectral, Directional Radiative Behavior Of Corrugated Surfaces, Kyle S. Meaker

Theses and Dissertations

Spacecraft thermal control is entirely reliant upon radiative heat transfer for temperature regulation. Current methods are often static in nature and do not provide dynamic control of radiative heat transfer. As a result, modern spacecraft thermal control systems are typically 'cold-biased' with radiators that are larger than necessary for many operating conditions. Deploying a variable radiator as a thermal control technique in which the projected surface area can be adjusted to provide the appropriate heat loss for a given condition can reduce unnecessary heat rejection and reduce power requirements. However, the radiative behavior of the apparent surface representing the expanding/collapsing …

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Reconstructing Historical Earthquake-Induced Tsunamis: Case Study Of 1820 Event Near South Sulawesi, Indonesia, Taylor Jole Paskett Jul 2022

Reconstructing Historical Earthquake-Induced Tsunamis: Case Study Of 1820 Event Near South Sulawesi, Indonesia, Taylor Jole Paskett

Theses and Dissertations

We build on the method introduced by Ringer, et al., applying it to an 1820 event that happened near South Sulawesi, Indonesia. We utilize other statistical models to aid our Metropolis-Hastings sampler, including a Gaussian process which informs the prior. We apply the method to multiple possible fault zones to determine which fault is the most likely source of the earthquake and tsunami. After collecting nearly 80,000 samples, we find that between the two most likely fault zones, the Walanae fault zone matches the anecdotal accounts much better than Flores. However, to support the anecdotal data, both samplers tend toward …

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An Acoustofluidic Scanning Nanoscope Using Enhanced Image Stacking And Processing, Geonsoo Jin, Joseph Rich, Jianping Xia, Albert J. He, Chenglong Zhao, Tony Jun Huang Jul 2022

An Acoustofluidic Scanning Nanoscope Using Enhanced Image Stacking And Processing, Geonsoo Jin, Joseph Rich, Jianping Xia, Albert J. He, Chenglong Zhao, Tony Jun Huang

Faculty Publications

Nanoscale optical resolution with a large field of view is a critical feature for many research and industry areas, such as semiconductor fabrication, biomedical imaging, and nanoscale material identification. Several scanning microscopes have been developed to resolve the inverse relationship between the resolution and field of view; however, those scanning microscopes still rely upon fluorescence labeling and complex optical systems. To overcome these limitations, we developed a dual-camera acoustofluidic nanoscope with a seamless image merging algorithm (alpha-blending process). This design allows us to precisely image both the sample and the microspheres simultaneously and accurately track the particle path and location. …

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Enabling Successful Human-Robot Interaction Through Human-Human Co-Manipulation Analysis, Soft Robot Modeling, And Reliable Model Evolutionary Gain-Based Predictive Control (Mega-Pc), Spencer W. Jensen Jul 2022

Enabling Successful Human-Robot Interaction Through Human-Human Co-Manipulation Analysis, Soft Robot Modeling, And Reliable Model Evolutionary Gain-Based Predictive Control (Mega-Pc), Spencer W. Jensen

Theses and Dissertations

Soft robots are inherently safer than traditional robots due to their compliance and high power density ratio resulting in lower accidental impact forces. Thus they are a natural option for human-robot interaction. This thesis specifically looked at human-robot co-manipulation which is defined as a human and a robot working together to move an object too large or awkward to be safely maneuvered by a single agent. To better understand how humans communicate while co-manipulating an object, this work looked at haptic interaction of human-human dyadic co-manipulation trials and studied some of the trends found in that interaction. These trends point …

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Simulation And Localization Of Autonomous Underwater Vehicles Leveraging Lie Group Structure, Easton Robert Potokar Jul 2022

Simulation And Localization Of Autonomous Underwater Vehicles Leveraging Lie Group Structure, Easton Robert Potokar

Theses and Dissertations

Autonomous underwater vehicles (AUVs) have the potential to dramatically improve safety, quality of life and general scientific knowledge. Our coasts, lakes and rivers are filled with various forms of marine infrastructure including dams, bridges, ship hulls, communication lines, and oil rigs. Each of these structures requires regular inspection, and current methods utilize divers, which is dangerous, expensive, and time consuming. AUVs have the potential to alleviate these difficulties and enable more regular inspection of these structures. Furthermore, there are significant scientific discoveries in the fields of geology, marine biology and medicine that AUV exploration of our oceans will enable. Since …

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Trace Elements In Walleye Tissues And Dietary Components From An Impoundment Located Downstream Of The Leadville Mining District, Colorado, I: Hg And Se, Scott J. Herrmann, Del Wayne R. Nimmo, Igor V. Melnykov Jul 2022

Trace Elements In Walleye Tissues And Dietary Components From An Impoundment Located Downstream Of The Leadville Mining District, Colorado, I: Hg And Se, Scott J. Herrmann, Del Wayne R. Nimmo, Igor V. Melnykov

Western North American Naturalist

There is a paucity of studies focusing on how total mercury (THg) and total selenium (TSe) concentrations vary in walleye tissues and prey organisms from a reservoir that is downstream from a major mining district and whose basin consists of Cretaceous sedimentary Se-bearing outcroppings. Pueblo Reservoir in Colorado is fed by water from the upper Arkansas River, which has been polluted by trace metals and metalloids since mining began in 1859. Pueblo Reservoir is the only mainstem impoundment on the Upper Arkansas River and is located about 251 km downstream from the historic Leadville Mining District. Nearly all the contaminated …

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Saferplaces Global Platform: An Ai-Based Digital Twin Solution For Flood Risk Intelligence In Urban Areas [Online], Stefano Bagli, Paolo Mazzoli, Valerio Luzzi, Lorenzo Borelli Jul 2022

Saferplaces Global Platform: An Ai-Based Digital Twin Solution For Flood Risk Intelligence In Urban Areas [Online], Stefano Bagli, Paolo Mazzoli, Valerio Luzzi, Lorenzo Borelli

International Congress on Environmental Modelling and Software

Our cities are flooding with increased frequency due to more severe weather events and a growing anthropogenic pressure (i.e., soil sealing, urban expansion, man induced land-subsidence, etc.). An accurate and detailed characterization of flood hazard is a fundamental step in order to improve or optimize the resilience of cities to potential flood losses and damages. SaferPLACES platform provides a cost-effective and user-friendly cloud-based solution for flood hazard and risk management in urban areas. The flood intelligence underlying the SaferPLACES platform integrates the following main components: 1) a Digital Twin automatic generator able to exploit the available big open climate and …

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Effect Of Streamflow And Surface Erosion/Sediment Transport From Upland Area To Riverine Floodplain On Water Management At Gilgel-Gibe Catchment Scale, Ethiopia, Tadesse Mosissa Ejeta, Tekalign Abdisa Kerbe, Esayas Alemayehu, Clearly James Chawanda Jul 2022

Effect Of Streamflow And Surface Erosion/Sediment Transport From Upland Area To Riverine Floodplain On Water Management At Gilgel-Gibe Catchment Scale, Ethiopia, Tadesse Mosissa Ejeta, Tekalign Abdisa Kerbe, Esayas Alemayehu, Clearly James Chawanda

International Congress on Environmental Modelling and Software

Surface erosion sediment transport from upland areas (UA) to riverine floodplain (RF) at Gilgel-Gibe catchment scale (GGCs), Ethiopia was affecting future water-food security. This study aimed to simulate the effect of streamflow surface erosion/sediment transport from UA to RF on water management at GGCs, Ethiopia using SWAT+ integration with RUSLE. The integration of RUSLE with GIS RS was used to simulate surface erosion from UA to RF, while QSWAT+ has been used to simulate the effect of streamflow sediment transport to help identify the priority area for water conservation planning. Sensitivity analysis, calibration, validation were performed using SWAT+Toolbox hydrological model …

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Transforming Swat As A Tool For Fast And Economic Flood Risk Mapping In Large Basins, Adnan Rajib, Krutikkumar Patel Jul 2022

Transforming Swat As A Tool For Fast And Economic Flood Risk Mapping In Large Basins, Adnan Rajib, Krutikkumar Patel

International Congress on Environmental Modelling and Software

There are numerous model coupling frameworks that integrate hydrodynamic and hydrologic models to produce flood inundation maps; however, most of them come with high computational complexities and costs. Recent advancements in hydrogeomorphic, topography-based inundation mapping approaches can provide parsimonious ways of addressing these computational challenges and therefore are suited for scenarios requiring rapid decision making and situational assessment. Despite such opportunities, research to coupling these topography-based approaches with a hydrologic model to instantaneously generate streamflow and the corresponding flood inundation extents across large river networks is still in infancy. In this work, we attempted to fill this gap by coupling …

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Assessing The Groundwater Vulnerability To Nitrates And Pesticides Within The Geospatial Decision Support System Landsupport, Marialaura Bancheri, Alessia Perego, Giuliano Langella, Daniele Lezzi Jul 2022

Assessing The Groundwater Vulnerability To Nitrates And Pesticides Within The Geospatial Decision Support System Landsupport, Marialaura Bancheri, Alessia Perego, Giuliano Langella, Daniele Lezzi

International Congress on Environmental Modelling and Software

This work presents how to assess the groundwater vulnerability to both pesticides and nitrate within the geospatial Decision Support system (s-DSS) of LandSupport, though two new web-based, freely-available dynamical tools, named the pesticide fate tool and nitrate fate tool. The pesticide fate tool is based on the extended transfer function model (TFM-ext), specifically expanded to consider the transport of reactive solutes, i.e., pesticides. The nitrate fate tool is based on the coupling of the ARMOSA model, used to simulate the crop growth dynamics and the consequent nitrate leaching within the most biological active zone (i.e. the rooting depth of the …

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Soil Plant Atmosphere Continuum Estimator In Geoframe (Geospace): A Coupled Model For The Environmental Modeling, Concetta D'Amato, Niccolò Tubini, Paolo Benettin, Riccardo Rigon Jul 2022

Soil Plant Atmosphere Continuum Estimator In Geoframe (Geospace): A Coupled Model For The Environmental Modeling, Concetta D'Amato, Niccolò Tubini, Paolo Benettin, Riccardo Rigon

International Congress on Environmental Modelling and Software

Thanks to the advancement of technologies of the last century, today it is possible to talk about Digital Twin models (DT). They want to accurately reproduce through high-fidelity computer models the state of evolution of a generic physical entity. The aim of DT is understanding, simulating systems behaviors, and evaluating them under changing boundary and initial conditions. This contribution illustrates the digital twin model of GEOframe Soil Plant Atmosphere Continuum Estimator (GEOSPACE). It is the ecohydrological model of the GEOframe system and it aims to simulate the soil-plant-atmosphere interactions to study and analyze the complex processes that occur in the …

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Using Slow Sand Filter For Organic Matter And Suspended Solids Removal As Post Treatment Unit For Wastewater Effluent, Samir Addisu Afifi, Amany A. Elfari, Samir Alnahhal Jul 2022

Using Slow Sand Filter For Organic Matter And Suspended Solids Removal As Post Treatment Unit For Wastewater Effluent, Samir Addisu Afifi, Amany A. Elfari, Samir Alnahhal

International Congress on Environmental Modelling and Software

The Gaza Strip - Palestine, like any other section of the Mediterranean, has a distinct and substantial water shortage; nevertheless, the problem in this area is more obvious and serious, and it is linked to water quantity and quality. The Gaza Strip's only source of water is groundwater, and agriculture consumes more than 70% of all groundwater extracted. New work has begun to develop sustainable technical and economical solutions to cope with the non-sufficient existing wastewater treatment plant effluents' quality for reuse. The paper evaluated the organic matter and suspended solids removal efficacy of Slow Sand Filter (SSF) designed to …

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A System Dynamic Approach For Managing Transboundary Water Systems, Santosh S. Palmate, Saurav Kumar, Rocky Talchabhadel, Esmaiil Mokari Jul 2022

A System Dynamic Approach For Managing Transboundary Water Systems, Santosh S. Palmate, Saurav Kumar, Rocky Talchabhadel, Esmaiil Mokari

International Congress on Environmental Modelling and Software

Transboundary waters are vital to the sustainability and survival of human communities on the U.S.-Mexico border region, a nearly 2,000 mile-long arid zone in North America currently affected by climate uncertainties. We focus on the Rio Grande–Hueco Bolson (RG-HB; also known as Rio Bravo–Valle de Juarez in Mexico) water system, which is essential for the El Paso-Ciudad Juarez region. Water management in the region is characterized by limited and dwindling water supplies, increasing demands for water from multiple sectors, and a segmented governance system spanning two U.S. states and two countries. The region faces several drivers of change, including climate …

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Advancing Gpr Interpretations By The Use Of Multi-Agent Systems And Intelligent Data Analysis For Water Distribution Health Asset Assessment, David Ayala-Cabrera, Gemma Stanton, Sotudeh Hoseini-Ghafari, Joaquín Izquierdo Jul 2022

Advancing Gpr Interpretations By The Use Of Multi-Agent Systems And Intelligent Data Analysis For Water Distribution Health Asset Assessment, David Ayala-Cabrera, Gemma Stanton, Sotudeh Hoseini-Ghafari, Joaquín Izquierdo

International Congress on Environmental Modelling and Software

The provision of reliable, safe, affordable and continuously supplied drinking water is essential in the development of cities. To ensure sustainability, efficient use of water resources, and health assessment of such critical infrastructures as water distribution networks (WDNs), the improvement of monitoring/verification systems with the collection of reliable data at a reasonable cost is an impending priority. This paper seeks to facilitate the health assessment of WDNs assets, using the ground penetrating radar (GPR) as a reliable and powerful non-destructive method for capturing information (radargrams) from the subsoil, and through improved interpretation of those images. This paper uses a multi-agent-based …

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Variables Selection For Improving Clustering Multiview Processes, Xavier Angerri, Karina Gibert Jul 2022

Variables Selection For Improving Clustering Multiview Processes, Xavier Angerri, Karina Gibert

International Congress on Environmental Modelling and Software

In December 2020 the INSESS-COVID19 report was presented, as a result of a project to support data-driven policy-making in the COVID19 crisis in Catalonia. Reporting territorial results, focusing the prototyping situations of the Basic Areas Social Services (BASS) in terms of the kinds of impact of COVID19 confinement on social vulnerability was necessary. Nevertheless, groups with several BASS of similar profile was searched. Individual reports at BASS level were precluded, as multivariate analysis of relationships raise the risk of violating statistical secrecy, thus putting at risk the anonymity of the participants as well as their safety when vulnerable populations are …

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Improving Water Distribution Network Data Extraction From Rawgpr Images With Multi-Agent Techniques And Machine Learning, Gemma Stanton, David Ayala-Cabrera Jul 2022

Improving Water Distribution Network Data Extraction From Rawgpr Images With Multi-Agent Techniques And Machine Learning, Gemma Stanton, David Ayala-Cabrera

International Congress on Environmental Modelling and Software

Concerns around climate change, disaster resilience, and digitization underscore the importance of reliable and affordable information about critical infrastructure such as water distribution networks (WDNs) in order to prevent/mitigate potential negative effects. For instance, lack of data from WDNs enables problems such as leaks to persist undetected. While manual and destructive detection methods exist to monitor the health of WDNs (e.g., impact echo, laser scan, among others), these methods lack the power to provide comprehensive data for continuous modelling, operation, assessment, and maintenance. Ground penetrating radar (GPR) offers one non-destructive testing method that is inexpensive and easily operable; however, the …

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The Digital Water Revolution: Opportunities And Ethical-Political Concerns, Lucia Alexandra Popartan, Hector Monclús, Ignasi Rodriguez-Roda, Manel Poch Jul 2022

The Digital Water Revolution: Opportunities And Ethical-Political Concerns, Lucia Alexandra Popartan, Hector Monclús, Ignasi Rodriguez-Roda, Manel Poch

International Congress on Environmental Modelling and Software

Artificial Intelligence (AI) is dramatically transforming our lives and the environment. The Urban Water Cycle (UWC) management is a key part of this transformation, which encompasses the development and application of new elements of automation and monitoring as well as the use of AI’s and data mining as knowledge management tools. The research analysing the so-called “digital water” tends to perceive AI in water as overwhelmingly positive. An embryonic literature unpacks the more problematic aspects of AI in water; however, it remains overly superficial with respect to the broader socio-political implications of this transformation. The paper performs a critical overview …

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Improved Understanding Of The Relationship Between Modelcomplexity And Calibration Performance Using Exploratorylandscape Analysis Metrics, Siwei Zhu, Holger R. Maier, Aaron Zecchin Jul 2022

Improved Understanding Of The Relationship Between Modelcomplexity And Calibration Performance Using Exploratorylandscape Analysis Metrics, Siwei Zhu, Holger R. Maier, Aaron Zecchin

International Congress on Environmental Modelling and Software

It is well-known that model complexity has an impact on the features of error surfaces of environmental models, which has impact on model calibration performance. For example, increasing model complexity results in an increase in the number of local optima of error surfaces, making it more difficult to identify globally optimal solutions. However, previous attempts at identifying these relationships have been ad-hoc, generally relying on graphical, lower-dimensional representations of higher-dimensional surfaces to identify relevant features in the error surface. This makes it difficult to determine the relationship between model complexity and model calibration performance in an objective fashion. In this …

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A Survey Of Wildfire Spread Prediction And Risk Estimation Methodswith Machine Learning Techniques, Sergiu Dascalu, Rui Wu, Andrew Munoz, Shanyue Guan Jul 2022

A Survey Of Wildfire Spread Prediction And Risk Estimation Methodswith Machine Learning Techniques, Sergiu Dascalu, Rui Wu, Andrew Munoz, Shanyue Guan

International Congress on Environmental Modelling and Software

Wildfires can be very dangerous and destructive. In 2021, states in the USA particularly affected by deadly and damaging wildfires include California, Oregon, Montana, Washington, and Arizona (statista.com, 2021). Worldwide, countries recently affected significantly by devastating wildfires include, but are not limited to, Algeria, Australia, Brazil, Canada, Greece, India, Spain, South Korea, and Turkey. Thus, two important research questions are “how to predict fire spread behaviours?” and “how to evaluate wildfire risks?”. To answer these questions, in this paper we conducted a survey of recent methods and approaches that are based on machine learning techniques. For the first research question, …

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Ensemble Model-Based Method For Time Series Sensors’ Datavalidation And Imputation Applied To A Real Waste Water Treatmentplant, Josep Pascual-Pañach, Miquel Sànchez-Marrè, Miquel Àngel Cugueró-Escofet Jul 2022

Ensemble Model-Based Method For Time Series Sensors’ Datavalidation And Imputation Applied To A Real Waste Water Treatmentplant, Josep Pascual-Pañach, Miquel Sànchez-Marrè, Miquel Àngel Cugueró-Escofet

International Congress on Environmental Modelling and Software

Intelligent Decision Support Systems (IDSS) integrate different Artificial Intelligence (AI) techniques with the aim of taking or supporting human-like decisions. To this end, these techniques are based on the available data from the target process. This implies that invalid or missing data could trigger incorrect decisions and therefore, undesirable situations in the supervised process. This is even more important in environmental systems. In data-driven applications such as IDSS, data quality is a basal problem that should be addressed for the sake of the overall systems’ performance. In this paper, a data validation and imputation methodology for time-series is presented. This …

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Investigating The Role Of Climatic Factors And Human Activities On Water Level Changes In Maharloo Lake - Iran, Mohsen Kazemi, Ali Asadi, Hassan Khosravi Jul 2022

Investigating The Role Of Climatic Factors And Human Activities On Water Level Changes In Maharloo Lake - Iran, Mohsen Kazemi, Ali Asadi, Hassan Khosravi

International Congress on Environmental Modelling and Software

Over the last few decades, the water level appears to have declined for most of the Lakes as a consequence of global warming. Besides, in addition to climatic factors, human activities have had a profound impact on lowering the lake's water level and ecosystem changes. In this research, Landsat satellite images from 1987-2021 for mapping the water level changes in Maharloo Lake and simple image difference technique and principal component analysis (PCA) and fuzzy logic have been used to map the intensity of changes. Then, the trend of climatic factors (rainfall and evapotranspiration) and water balance (flow and underground water …

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Time Lag Analysis Between Climate Time And Lag Correlation Analysis Between Climate Drought And Hydrological Drought In Hashtgerd Plain, Ali Asadi, Mohsen Kazemi, Nikoo Ghafouri Jul 2022

Time Lag Analysis Between Climate Time And Lag Correlation Analysis Between Climate Drought And Hydrological Drought In Hashtgerd Plain, Ali Asadi, Mohsen Kazemi, Nikoo Ghafouri

International Congress on Environmental Modelling and Software

Groundwater resources in most parts of the world have a special place in terms of water supply for human needs. The quantity of these resources is affected by nutrition (mostly rainfall) and depletion. Drought as a considered natural disaster has profound economic and environmental effects on a large scale. To investigate the temporal effects of climatic drought on hydrological drought in groundwater resources, the present study was conducted in Hashtgerd plain. In this study, SPI was standardized as an indicator of climatic drought and GRI was evaluated as an indicator of groundwater resources. After analyzing the data, this index has …

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Application Of Generic Model Components For Environmental Policyanalysis, Jean-Luc De Kok, Peter Viaene, Erika Palmer Jul 2022

Application Of Generic Model Components For Environmental Policyanalysis, Jean-Luc De Kok, Peter Viaene, Erika Palmer

International Congress on Environmental Modelling and Software

A powerful combination of stakeholder engagement, scenario analysis and System Dynamics (SD) modelling was adopted in the EU funded project COASTAL (https://h2020-coastal.eu) to generate evidencebased policy recommendations for sustainable development of regions at the land-sea interface. The project is organized around six case areas or Multi-Actor Labs. Stakeholders and domain experts interacted to design Causal Loop Diagrams (CLDs) capturing land-sea interactions and feedback mechanisms. Quantification of these CLDs allowed further analysis, such as the pinpointing of ‘tipping points'. Typical questions answered are: why do certain businesses fail and others not under similar circumstances? Why do certain management strategies work in …

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Evaluating The Suitability Of Remote Sensing Lake Turbidity In Validating Model Sediment Loadings: An Application In Lake Tana Basin, Albert Nkwasa, Rediet Esayas Getachew, Ann Van Griensven Jul 2022

Evaluating The Suitability Of Remote Sensing Lake Turbidity In Validating Model Sediment Loadings: An Application In Lake Tana Basin, Albert Nkwasa, Rediet Esayas Getachew, Ann Van Griensven

International Congress on Environmental Modelling and Software

Validating water quality model applications is challenging due to data gaps in in-situ observations, especially in developing regions. To such a challenge, remote sensing (RS) has provided an alternative to monitor the water quality of inland waters due to its low cost, spatial continuity and temporal consistency. However, limited studies have exploited the option of validating water quality model outputs with RS water quality data. With sediment loadings regarded as a threat to the turbidity and trophic status of Lake Tana in Ethiopia, this study aims at using existing RS lake turbidity data to validate the seasonal and long-term trends …

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