Comprehensive Assessment of Flood Risk and Vulnerability for Essential Facilities: Iowa Case Study DOI Creative Commons

Cori Grant,

Yazeed Alabbad, İbrahim Demir

и другие.

EarthArXiv (California Digital Library), Год журнала: 2024, Номер unknown

Опубликована: Авг. 2, 2024

Of all natural disasters that occur on this planet, flood events are universally one of the most common and destructive. As climate change human actions continue to cause occurrence rise, it becomes increasingly important effects flooding analyzed understood. In study, nine different types critical amenities in state Iowa (such as hospitals, fire stations, schools, etc.) were a county level terms depth, functionality restoration time after flooding, damage sustained during flooding. These also their location relative 100yr 500yr zones. Results show number within extent reached up 39%, scenario but six chosen counties lost 100% amenities. Most found have depth 1 4 ft deep 480 days. The purpose study is bring awareness decision makers regarding risk pose highlight increasing dangers broader scale. This will be beneficial improve mitigation strategies, emergency response plans, ensuring services available event future floods for affected areas.

Язык: Английский

A Comprehensive Evaluation of Multimodal Large Language Models in Hydrological Applications DOI Creative Commons

Likith Kadiyala,

Omer Mermer, R. Dinesh Jackson Samuel

и другие.

EarthArXiv (California Digital Library), Год журнала: 2024, Номер unknown

Опубликована: Май 25, 2024

Large Language Models (LLMs) combined with visual foundation models have demonstrated remarkable advancements, achieving a level of intelligence comparable to human capabilities. In this study, we conduct an analysis the latest Multimodal LLMs (MLLMs), specifically Multimodal-GPT, GPT-4 Vision, Gemini and LLaVa, focusing on their application in hydrology domain. The domain holds significant relevance for AI applications, including flood management response, water monitoring, agricultural discharge, pollution management. Our involves testing these MLLMs various hydrology-specific studies, evaluating response generation, assessing suitability real-time systems. We deliberately selected complex real-world scenarios explore potential addressing hydrological challenges. Additionally, carefully designed prompts enhance models' inference capabilities ability comprehend context from image data. findings our reveal effective human-computer interaction inspire solutions systems that incorporate both textual Among validated models, Vision stands out as top performer among other MLLMs, showcasing unparalleled proficiency inferring results highlight understanding, reasoning, decision-making multimodal bring hydrology. This research contributes valuable insights into applications advanced challenges within contexts.

Язык: Английский

Процитировано

1
Geo-WC: Custom Web Components for Earth Science Organizations and Agencies DOI Creative Commons
Sümeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez

и другие.

EarthArXiv (California Digital Library), Год журнала: 2024, Номер unknown

Опубликована: Апрель 16, 2024

The development of web technologies and their integration into various fields has allowed a new era in data-driven decision-making public information accessibility, especially through adoption monitoring quantification environmental data resources provided by governmental institutions. While the use given way to creation democratized applications, challenges persist dealing with non-standardized formats, considering complexities data. To overcome these obtain up-to-date from different institutions, we present Geo-WC: component framework specifically designed for earth sciences, serving as bridge across scientific domains. Geo-WC utilizes developer-friendly approach simple HTML declarative syntax unify consolidated processing interface, allowing accessibility users skill sets. integrates widely used technologies, facilitating client-side analysis, visualization, within browsers.

Язык: Английский

Процитировано

0
An Immersive Hydroinformatics Framework with Extended Reality for Enhanced Visualization and Simulation of Hydrologic Data DOI Creative Commons

Uditha Herath Mudiyanselage,

Eveline Landes Gonzalez,

Yusuf Sermet

и другие.

EarthArXiv (California Digital Library), Год журнала: 2024, Номер unknown

Опубликована: Июнь 15, 2024

This study introduces a novel framework, with the use of Extended Reality (XR) systems in hydrology, particularly focusing on immersive visualization hydrologic data for enhanced environmental planning and decision-making. The details shift from traditional two-dimensional methods hydrology to more advanced XR technologies, including virtual augmented reality. Immersive information facilitate dynamic interaction real-time hydrological meteorological datasets various stakeholders cases paves way metaverse digital twin systems. system, accessible via web browsers reality (VR) devices, allows users navigate 3D representation continental United States, engaging detailed data. paper addresses current limitations visualization, methodology, system architecture while discussing challenges, limitations, future directions extend its applicability wider range management disaster response scenarios, highlighting potential transforming applications hydroinformatics.

Язык: Английский

Процитировано

0
Comprehensive Assessment of Flood Risk and Vulnerability for Essential Facilities: Iowa Case Study DOI Creative Commons

Cori Grant,

Yazeed Alabbad, İbrahim Demir

и другие.

EarthArXiv (California Digital Library), Год журнала: 2024, Номер unknown

Опубликована: Авг. 2, 2024

Of all natural disasters that occur on this planet, flood events are universally one of the most common and destructive. As climate change human actions continue to cause occurrence rise, it becomes increasingly important effects flooding analyzed understood. In study, nine different types critical amenities in state Iowa (such as hospitals, fire stations, schools, etc.) were a county level terms depth, functionality restoration time after flooding, damage sustained during flooding. These also their location relative 100yr 500yr zones. Results show number within extent reached up 39%, scenario but six chosen counties lost 100% amenities. Most found have depth 1 4 ft deep 480 days. The purpose study is bring awareness decision makers regarding risk pose highlight increasing dangers broader scale. This will be beneficial improve mitigation strategies, emergency response plans, ensuring services available event future floods for affected areas.

Язык: Английский

Процитировано

0