An increase in the frequency and intensity of storms, coastal flooding, and spread of disease as a result of projected climate change and sea-level rise is likely to damage built environments and adversely affect a significant proportion of Australia's population. Understanding the assets at risk from climate change hazards is critical to the formulation of adaptation responses and early action is likely to be the most cost effective approach to managing the risk. Understanding the level of exposure of assets, such as buildings, lifeline utilities and infrastructure, under current and future climate projections is fundamental to this process.

The National Exposure Information System (NEXIS) is a significant national capacity building task being undertaken by Geoscience Australia (GA). NEXIS is collecting, collating, managing and providing the exposure information required to assess climate change impacts. It provides residential, business and infrastructure exposure information derived from several fundamental datasets. NEXIS is also expanding to include institutions (such educational, health, emergency, government and community buildings) and lifeline support infrastructure exposure. It provides spatial exposure data in GIS format at a building level and is often provided to clients for an area of interest. It is also designed to predict future exposure for climate change impact analysis. NEXIS is currently sourcing more specific datasets from various data custodians including state and local governments along with private data providers. NEXIS has been utilised in various climate change impact projects undertaken by CSIRO, the Department of Climate Change (DCC), the Department of Environment, Water, Heritage and the Arts (DEWHA), and several universities. Examples of these projects will be outlined during the presentation.

Performance of the best model with alternative measures.

Per California Water Code Section 10609.80 (a), DWR has released an update to the indicators analyzed for the rural communities water shortage vulnerability analysis and a new interactive tool to explore the data. This page remains to archive the original dataset, but for more current information, please see the following pages: - https://water.ca.gov/Programs/Water-Use-And-Efficiency/SB-552/SB-552-Tool - https://data.cnra.ca.gov/dataset/water-shortage-vulnerability-technical-methods - https://data.cnra.ca.gov/dataset/i07-water-shortage-vulnerability-sections - https://data.cnra.ca.gov/dataset/i07-water-shortage-social-vulnerability-blockgroup This dataset is made publicly available pursuant to California Water Code Section 10609.42 which directs the California Department of Water Resources to identify small water suppliers and rural communities that may be at risk of drought and water shortage vulnerability and propose to the Governor and Legislature recommendations and information in support of improving the drought preparedness of small water suppliers and rural communities. As of March 2021, two datasets are offered here for download. The background information, results synthesis, methods and all reports submitted to the legislature are available here: https://water.ca.gov/Programs/Water-Use-And-Efficiency/2018-Water-Conservation-Legislation/County-Drought-Planning Two online interactive dashboards are available here to explore the datasets and findings. https://dwr.maps.arcgis.com/apps/MapSeries/index.html?appid=3353b370f7844f468ca16b8316fa3c7b The following datasets are offered here for download and for those who want to explore the data in tabular format. (1) Small Water Suppliers: In total, 2,419 small water suppliers were examined for their relative risk of drought and water shortage. Of these, 2,244 are community water systems. The remaining 175 systems analyzed are small non-community non-transient water systems that serve schools for which there is available spatial information. This dataset contains the final risk score and individual risk factors for each supplier examined. Spatial boundaries of water suppliers' service areas were used to calculate the extent and severity of each suppliers' exposure to projected climate changes (temperature, wildfire, and sea level rise) and to current environmental conditions and events. The boundaries used to represent service areas are available for download from the California Drinking Water System Area Boundaries, located on the California State Geoportal, which is available online for download at https://gispublic.waterboards.ca.gov/portal/home/item.html?id=fbba842bf134497c9d611ad506ec48cc (2) Rural Communities: In total 4,987 communities, represented by US Census Block Groups, were analyzed for their relative risk of drought and water shortage. Communities with a record of one or more domestic well installed within the past 50 years are included in the analysis. Each community examined received a numeric risk score, which is derived from a set of indicators developed from a stakeholder process. Indicators used to estimate risk represented three key components: (1) the exposure of suppliers and communities to hazardous conditions and events, (2) the physical and social vulnerability of communities to the exposure, and (3) recent history of shortage and drought impacts. The unit of analysis for the rural communities, also referred to as "self-supplied communities" is U.S. Census Block Groups (ACS 2012-2016 Tiger Shapefile). The Census Block Groups do not necessarily represent socially-defined communities, but they do cover areas where population resides. Using this spatial unit for this analysis allows us to access demographic information that is otherwise not available in small geographic units.

ESG risk ratings and scores as well as business and product involvement information and controversies on companies and sovereigns are widely used by asset and wealth managers. This data package corresponds to the Company ESG Level 1 dataset from Sustainalytics. This information supports our clients in considering ESG aspects in investment decisions, monitoring sustainability risks of investment portfolios and reporting on ESG aspects to investors.

The ESG (Environmental, Social, and Governance) services market is experiencing robust growth, driven by increasing regulatory pressures, investor demand for sustainable investments, and a heightened awareness of environmental and social issues among corporations. While the provided data lacks specific market size and CAGR figures, a reasonable estimation based on industry reports and trends suggests a 2025 market size of approximately $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12-15% from 2025 to 2033. This growth is fueled by the expanding adoption of ESG strategies across various sectors, including energy and utilities, financial services, and consumer goods, where companies are proactively managing their ESG risks and integrating sustainability into their core business operations. The demand for ESG risk assessment, strategy development, and data & analytics services is particularly strong, as organizations seek to quantify and mitigate their environmental impact, improve social performance, and enhance governance structures. Further driving market expansion is the proliferation of ESG rating agencies and data providers, coupled with the growing availability of sophisticated ESG data and analytics tools. The market segmentation reflects the diverse needs of different industries. Energy and utilities companies are under significant pressure to decarbonize their operations, necessitating robust ESG strategies. Financial services firms are increasingly integrating ESG factors into their investment decisions and risk management processes. Consumer goods companies face rising consumer expectations for ethical and sustainable products, driving them to implement comprehensive ESG programs. While the market is witnessing significant growth, challenges remain. These include data inconsistencies and standardization issues, the cost of implementing comprehensive ESG programs, and the lack of skilled professionals capable of undertaking these complex analyses. Despite these hurdles, the long-term outlook for the ESG services market remains exceptionally positive, with continued growth projected across all segments and geographic regions, propelled by global sustainability initiatives and increasing investor scrutiny.

The 2021 State of Climate Services Report - GEO’s contribution

Blog / October 12, 2021

On 5 October 2021, the World Meteorological Organization (WMO) published the 2021 State of Climate Services Report with contributions from more than 20 international organizations, including the Group on Earth Observations (GEO). This 2021 edition focuses on water, an indispensable resource at the heart of the global agenda for sustainable development, disaster risk reduction and climate adaptation that affects all communities and economic sectors. Since 2019, WMO and its partners have published annual State of Climate Services reports to provide input to the UN Framework Convention on Climate Change (UNFCCC) process, thus supporting climate adaptation with science-based information.

The report finds that for the 101 WMO Member countries for which data is available:

• There is insufficient interaction between climate service providers and users of information in 43% of WMO Members;
• In about 40% of WMO Members, data for basic hydrological variables are not collected;
• No hydrological data are provided in 67% of WMO Members;
• End-to-end flood forecasting and warning systems for rivers are lacking or inadequate in 34% of WMO Members that have provided data, with only 44% of Members reaching more than two-thirds of the population at risk with their existing systems;
• End-to-end drought forecasting and warning systems are lacking or inadequate in 54% of WMO Members that provided data - with only 27% of Members reaching more than two-thirds of the population at risk with their existing systems.

Significant additional financial commitments are needed to meet adaptation targets, but there are several constraints that limit what countries can do. These include low capacity to develop and implement projects and difficulties in raising funds within the public financial systems of low-income countries.

The report draws lessons from 16 case studies from around the world to improve water resource management and reduce the impact of water-related disasters. In collaboration with the Group on Earth Observations Global Water Sustainability (GEOGloWS) Initiative, AmeriGEO, and ENEE-Honduras, GEO contributed the case study on "Reliable and Actionable Information for Water Management Ahead of Hurricanes Eta and Iota in Honduras."

The GEOGloWS Streamflow Forecast Service is a worldwide application of the global runoff forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) that translates runoff into river discharge forecasts for all rivers in the world. The GEOGLoWS-ECMWF Streamflow Forecast Service was used by the state-owned power company of Honduras, Empresa Nacional de Energía Eléctrica (ENEE), to establish a series of low flow releases through the massive hydroelectric dam “El Cajón” between hurricanes Eta and Iota that hit the country in November 2020, following discharge protocols that dictate that the maximum discharge of 1000 m3/sec must not be exceeded. Following the first hurricane Eta, the information from the regional flash flood guidance and short-term forecast models was insufficient to determine a long-term management strategy and estimate the volume of runoff that Iota was bringing thirteen days later. Through collaboration with AmeriGEO, ENEE became aware of the 15-day discharge forecast from the GEOGLoWS ECMWF Streamflow Forecast Service provided directly from the web. Based on that information, prior to the arrival of Iota, a total of 185.95 million m3 was discharged, providing the reservoir with sufficient storage for the runoff that Iota brought from the upper basin. The timely application of the information provided by the GEOGloWS-ECMWF Streamflow Forecast Service enabled national authorities to efficiently manage the reservoir during the storms and helped to prevent potentially huge losses and damages in the Sula Valley, one of the most populated and productive areas in Honduras. This case study demonstrates the importance of climate services and early warning systems in protecting livelihoods by helping communities prepare for and respond to climate related challenges.

The 2021 State of the Climate Services report concludes with 6 strategic recommendations, including the need to:

1. Invest in Integrated Resources Water Management as a solution to better manage water stress, particularly in Small Island Developing States (SIDS) and Least Developed Countries (LDCs);
2. Invest in end-to-end early warning systems for droughts and floods in vulnerable LDCs, including drought warnings in Africa and flood warnings in Asia;
3. Close the capacity gap in data collection for basic hydrological variables that underpin climate services and early warning systems;
4. Improve interaction between national levels to co-develop and operationalize climate services in partnership with information users to better support adaptation in the water sector. There is also an urgent need for better monitoring and evaluation of socio-economic benefits, which will help showcase best practices;
5. Fill data gaps on country capacity for climate services in the water sector, especially for SIDS; and
6. Join the Water and Climate Coalition to promote policy development for integrated water and climate assessments, solutions and services, and benefit from a network of partners developing and implementing tangible, practical projects, programs and systems to improve hydroclimate services for resilience and adaptation.

To support these recommendations in the face of increasing water-related threats and stresses, GEO is promoting Earth observation data and tools for improved water management, monitoring, and early warning, and facilitating collaboration between data providers, developing countries, and underrepresented communities.

In 2024, the environmental, social, and governance (ESG) scores of the largest banks worldwide varied markedly across different score providers. JPMorgan Chase, the largest bank globally in terms of market capitalization, showed a wide range of scores: when standardized to a score out of 100, the highest score was given by MSCI, at 64.3, and the lowest by S&P Global (previously RobecoSAM), at 29, while the score from Sustainalytics had a value of 45. With only one green bond issued since December 2020, JPMorgan Chase ranked tenth among the leading banks worldwide by value of green bond issuance. Growing commitment to sustainability Banks worldwide are increasingly recognizing the importance of sustainability in their operations. The Net-Zero Banking Alliance, launched in 2021, has grown to include 144 members as of September 2024, with the majority located in Europe. This initiative demonstrates the banking sector's commitment to aligning their operations with the goal of achieving net-zero emissions by 2050. Members are required to set interim targets and provide annual progress reports, indicating a shift towards more transparent and accountable sustainability practices in the industry. ESG scores and their growing role in investment decisions ESG scores measure a company's exposure to long-term environmental, social, and governance risks. These non-financial factors are a growing concern for investors worldwide, and many of them now integrate ESG data in their investment decision-making to have a positive impact on the environment and society. As a result, the assets of ESG funds worldwide increased considerably in recent years, reaching a value of 480 billion U.S. dollars in 2023. ESG factors cover a broad spectrum of sustainability criteria, but environmental concerns are still the main drivers of ESG investing. Despite rising pressure on companies to decrease their impact on the environment, the carbon dioxide emissions of the largest banks worldwide are still far from sustainable.

This project will develop, produce, and implement role-play simulation case studies for Georgetown County citizens and leaders, with the goal of starting community discussions around climate adaptation and mitigation planning. The project team will develop the simulations based on localized climate information and data for temperature and precipitation. This will be combined with information gathered through key stakeholder interviews on their understanding of climate change, the climate-related risk factors that are of the greatest interest to them, and the social and political context in which decisions will be made. This information will then be used to create a scientific fact sheet for each case study, the roles within the case studies, risks that are present, and possible solutions based on sociopolitical context and scientific evidence. The project seeks to engage 150-200 participants in the role-playing simulations through a minimum of four community participation workshops throughout the county. The role-play will allow for collective community learning and engagement, and the potential for developing policy recommendations. It will help to incorporate climate risk management into local decision-making processes in the public and private sectors. This science transfer project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to promote the use of science. It did not produce any new data.

1960-2100 "the Belt and Road" countries' climate change risk data set (climate change trends and extreme events, food, ecology, population, economy and other risk carriers), including 1960, 1990, 20202, 2050, 2100 the Belt and Road countries' climate change to crop risk data, 2005, 2030, 2050, 2100 climate change to GDP risk data, 2020, 2050, 2100 climate change to population risk data, Data of precipitation, the highest temperature and the lowest temperature of countries along the the Belt and Road from 2020 to 2100. The meteorological data (precipitation, maximum temperature, minimum temperature) from 1960 to 2100 are derived from the RegCM model of the National Meteorological Center and CMIP6, and the food, ecological, population, and economic data of the countries along the the Belt and Road are derived from the food production data, ecological environment data, population density data, and GDP data in the Belt and Road Network of China and the Inter sectoral Impact Model Comparison Plan (ISI-MIP). Apply dynamic vegetation models to simulate the temporal changes of vegetation and the dynamic impacts of climate, and use threshold methods to analyze the risks of climate change on food, ecology, population, and economy.

The time series of extreme events given by Lange et al has been processed into an annual probability of occurrence by researchers at the University of Oxford, using the pipeline available online at https://github.com/nismod/infra-risk-vis/blob/45d8974c311067141ee6fcaa1321c7ecdaa59752/etl/pipelines/isimip/Snakefile - this is a draft dataset, used for visualisation in https://global.infrastructureresilience.org/ but not otherwise reviewed or published.

If you use this, please cite: Lange, S., Volkholz, J., Geiger, T., Zhao, F., Vega, I., Veldkamp, T., et al. (2020). Projecting exposure to extreme climate impact events across six event categories and three spatial scales. Earth's Future, 8, e2020EF001616. DOI 10.1029/2020EF001616

This is shared under a CC0 1.0 Universal Public Domain Dedication (CC0 1.0) When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment.

Annual probability of drought (soil moisture below a baseline threshold) or extreme heat (temperature and humidity-based indicators over a threshold) events on a 0.5° grid. 8 hydrological models forced by 4 GCMs under baseline, RCP 2.6 & 6.0 emission scenarios. Current and future maps in 2030, 2050 and 2080.

The ISIMIP2b climate input data and impact model output data analyzed in this study are available in the ISIMIP data repository at ESGF, see https://esg.pik-potsdam.de/search/isimip/?project=ISIMIP2b&product=input and https://esg.pik-potsdam.de/search/isimip/?project=ISIMIP2b&product=output, respectively. More information about the GHM, GGCM, and GVM output data is provided by Gosling et al. (2020), Arneth et al. (2020), and Reyer et al. (2019), respectively.

Event definitions are given in Lange et al, table 1. Land area is exposed to drought if monthly soil moisture falls below the 2.5th percentile of the preindustrial baseline distribution for at least seven consecutive months. Land area is exposed to extreme heat if both a relative indicator based on temperature (Russo et al 2015, 2017) and an absolute indicator based on temperature and relative humidity (Masterton & Richardson, 1979) exceed their respective threshold value.

The Environmental, Social, & Governance (ESG) Rating Services Market is Segmented by Service Type (ESG Assessment and Ratings, ESG Data Verification, ESG Reporting and Disclosure, ESG Strategy Consulting, Assurance and Compliance Services, and Other Customized ESG Solutions), Application (Investment and Asset Management, Corporate Governance and Risk Management, Sustainability and Supply Chain Management, Climate Change and Resource Management, Regulatory Compliance and Stakeholder Communication, and Other Sector-Specific Application), and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa). The Report Offers Market Size and Forecasts for the ESG Rating Services Market in Value (USD) for all the Above Segments.

This dataset provides climatological indicators on European winter windstorms and their economic impact derived from ERA5 reanalysis. Also provided are risk indicators from a synthetically derived set of physically realistic windstorm events based on modelled climatic conditions. The primary users include the insurance sector, reinsurers and insurance industry service providers in response to their requirements for a catalogue of historic windstorm events within Europe. It is important for this sector to be able to characterise the temporal and geographic distribution of potentially destructive windstorm events over Europe. These data can also support sectors such as energy, transport, civil engineering and government. The indicators available in this dataset are categorised as follows:

Windstorm tracks – the spatial track centred on the location of maximum relative vorticity above a threshold defining a windstorm as it moves over the North Atlantic Ocean and Europe.

Windstorm footprints – the maximum wind speed of gusts for each grid point of the domain during the passage of the storm over a period of 72-hours since the selected storm is first identified.

Summary indicators (Tier 1) – uses the windstorm tracks and maximum 10m wind speed to produce annual and decadal summary statistics for the land regions in Europe.

Loss and risk indicators (Tier 3) – describing the socio-economic impact of windstorms for various land cover and building types in Europe.

This dataset was produced on behalf of the Copernicus Climate Change Service.

EHS Software Market is Witnessing Increased Demand As Businesses Strive for Balance in Compliance, Sustainability, Accident Prevention, Audit, and Incident Management. Safety Management Software is Becoming Essential for Operational Excellence and Corporate Social Responsibilities. Key Players Like Enablon, Intelex, Cority, SAI Global, Velocityehs, and Quentic are Leading With Enhanced Offerings. The Growing Need for Effective Data Management is Driving the Adoption of Environmental Health and Safety Software, Aiding in Decision-Making, Risk Management, and Occupational Health and Safety Performance. The Market Also Includes Hazardous Waste Management, Industrial Hygiene, and Sustainability Management Software.

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Environment Health And Safety (EHS) Market Size 2024-2028

The environment health and safety (ehs) market size is forecast to increase by USD 3.94 billion at a CAGR of 9.68% between 2023 and 2028.

The Environment, Health, and Safety (EHS) market is experiencing significant growth due to various driving factors. One key trend is the increase in government initiatives to strengthen EHS compliance, as regulatory bodies continue to prioritize workplace safety and environmental protection. Another trend is the shifting focus from detection to prevention of hazards, as companies recognize the importance of proactive measures in minimizing risks and potential liabilities. However, the need for high initial capital investments for EHS software and solutions can be a challenge for smaller organizations, potentially limiting their ability to fully implement robust EHS systems. Overall, the EHS market is poised for continued expansion as businesses seek to mitigate risks, ensure regulatory compliance, and prioritize the health and safety of their workforce and the environment.

What will be the Size of the Environment Health And Safety (EHS) Market During the Forecast Period?

Request Free SampleThe Environment, Health, and Safety (EHS) market encompasses a range of services and solutions aimed at ensuring compliance with regulations and safeguarding people, properties, and the environment. Key market drivers include growing public concerns over environmental issues, increasing awareness of workplace safety, and the enactment of stringent environmental protection laws. EHS service providers offer consulting, audit & inspection, and software solutions to help organizations manage change, monitor air emission measurement, address ergonomics, and implement corrective actions. Additionally, the market caters to various industries, including oil & gas, chemical, and exploration & drilling, with a focus on water quality, energy consumption, and emergency care training.EHS software providers offer solutions for His, EHS consulting services, and mechanical engineering to streamline processes and improve overall EHS performance. Market trends include the integration of advanced technologies, such as IoT and AI, to enhance EHS management and improve operational efficiency.

How is this Environment Health And Safety (EHS) Industry segmented and which is the largest segment?

The environment health and safety (ehs) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentOn-premisesCloud basedEnd-userEnergy and utilitiesChemicals and materialsHealthcareConstruction and engineeringOthersGeographyNorth AmericaUSAPACChinaIndiaEuropeGermanyFranceSouth AmericaMiddle East and Africa

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

The Energy and Utilities sector is a significant consumer of Environment, Health, and Safety (EHS) software and services due to increasing investments in this industry and the growing emphasis on EHS compliance. Major EHS service providers, such as Cority Software Inc. And Intelex Technologies Inc., cater to this market segment. Notably, countries like India, the US, China, France, Spain, and Germany are making substantial investments In the Energy and Utilities sector. According to the International Energy Agency (IEA), global energy investments rose by 10% in 2021. China is a leading destination for smart grid solutions. EHS solutions enable organizations to manage and monitor operational parameters, emissions data, risk analysis, training management, and performance metrics to ensure compliance with stringent environmental protection laws and public concerns.EHS software solutions also help manage chemical management, audit & inspection, corrective actions, ergonomics, air emission measurement, and energy consumption. Additionally, they provide emergency care training, oil & gas spill prevention, and wastewater treatment to ensure Zero Harm and Zero Incidents.

Get a glance at the Environment Health And Safety (EHS) Industry report of share of various segments Request Free Sample

The On-premises segment was valued at USD 3.61 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 34% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American EHS market holds the largest market share due to stringent environmental protection laws and increa

The Flood Mapping Team within NRCan’s Canada Centre for Mapping and Earth Observation (CCMEO) has completed the digitization of these approximately 1400 historical flood events. By scraping publication records for flood event details, they created a publicly available data layer consisting of point data with attributes for flood location, years/seasons, and details. Sources are available for every point. The maps can be a starting point for understanding regional flood trends or for training machine learning models for predicting nation-wide flood risk.CCMEO’s Flood Mapping Team is advancing flood mapping practices in Canada by leading the Flood Hazard Identification and Mapping Program, compiling existing flood hazard data through the National Flood Hazard Data Layer, digitizing historical flood maps, publishing flood mapping guidelines, and researching innovative ways to advance flood mapping practices relating to geomatics. Overall, the modernization of flood mapping practices will help communities understand and manage their flood risk.The point groupings correspond to the locations that were affected by the same event. The inventory of past flooding has been compiled from various public sources and standardized into a common data model. Flooding events for which no location was included in the sources are positioned on the place name of the location affected by the flooding. The event positions do not indicate where the flooding occurred. It should be noted that no consultation was conducted with the various providers and stakeholders of historical flood data. Disparities in content between the various sources result in an inconsistent product. No warranty is given as to the accuracy or completeness of the information provided. The absence of information does not mean that no flooding has occurred.Additional Resources:Historical flood events (HFE) data page on open.canada.caArticle on the historical flood events layerFlood Hazard Identification and Mapping ProgramUpdate Frequency: Ongoing

The global Automatic Fire Risk Factor Monitoring Station market is experiencing robust growth, driven by increasing urbanization, expanding industrialization, and a heightened awareness of wildfire risks. The market's value, while not explicitly stated, can be reasonably estimated based on typical growth rates in related technology sectors. Assuming a conservative market size of $5 billion in 2025 and a Compound Annual Growth Rate (CAGR) of 8% (a figure reflecting growth in similar environmental monitoring technologies), the market is projected to reach approximately $9 billion by 2033. Key drivers include stringent government regulations mandating enhanced fire safety measures, the rising adoption of IoT-enabled monitoring systems for real-time data analysis and predictive capabilities, and the increasing demand for proactive fire prevention strategies across diverse sectors such as forestry, urban areas, and agriculture. Market segmentation reveals significant opportunities in the stationary and mobile monitoring station types, with the stationary segment currently dominating due to its established infrastructure and reliability. However, the mobile segment is anticipated to witness faster growth due to its flexibility and applicability in remote or rapidly changing fire risk environments. Geographic expansion is also a significant factor, with North America and Europe currently holding substantial market share. However, the Asia-Pacific region is expected to experience the fastest growth due to rapid infrastructure development and rising environmental concerns. Competitive rivalry is moderate, with established players like Vaisala and emerging technology companies vying for market dominance. Challenges include high initial investment costs for deploying these systems, the need for reliable communication infrastructure, and the complexities of integrating data from diverse sources for comprehensive fire risk assessment. The growth trajectory of the Automatic Fire Risk Factor Monitoring Station market is heavily influenced by advancements in sensor technology, data analytics capabilities, and the development of user-friendly interfaces for effective monitoring and response. The market will see continued innovation in areas such as AI-powered predictive analytics, improved sensor accuracy and durability, and the integration of drone technology for remote surveillance and data collection. These improvements will enhance the efficiency and effectiveness of fire risk management, leading to reduced property damage, minimized environmental impact, and improved public safety. Further, the increasing integration of these systems with broader disaster management platforms is expected to drive market growth and adoption across various geographic regions. Strategic partnerships between technology providers, government agencies, and industry stakeholders are crucial for widespread adoption and realizing the full potential of this technology in mitigating wildfire risks and enhancing overall safety.

CFRAM Model Nodes - Mid-Range Future Scenario. Published by Office of Public Works. Available under the license Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (cc-by-nc-nd).Abstract: This data shows the model nodes, indicating water level only and/or flow and water levels along the centre-line of rivers that have been modelled to generate the CFRAM flood maps. The nodes estimate maximum design event flood flows and maximum flood levels.

Flood event probabilities are referred to in terms of a percentage Annual Exceedance Probability, or ‘AEP’. This represents the probability of an event of this, or greater, severity occurring in any given year. These probabilities may also be expressed as odds (e.g. 100 to 1) of the event occurring in any given year. They are also commonly referred to in terms of a return period (e.g. the 100-year flood), although this period is not the length of time that will elapse between two such events occurring, as, although unlikely, two very severe events may occur within a short space of time.

The following sets out a range of flood event probabilities for which fluvial and coastal flood maps are typically developed, expressed in terms of Annual Exceedance Probability (AEP), and identifies their parallels under other forms of expression: 10% (High Probability) Annual Exceedance Probability which can also be expressed as the 10 Year Return Period and as a 10:1 odds of occurrence in any given year. 1% (Medium Probability - Fluvail/River Flood Maps) Annual Exceedance Probability which can also be expressed as the 100 Year Return Period and as 100:1 odds of occurrence in any given year. 0.5% (Medium Probability - Coastal Flood Maps) Annual Exceedance Probability which can also be expressed as the 200 Year Return Period and as 200:1 odds of occurrence in any given year. 0.1% (Low Probability) Annual Exceedance Probability which can also be expressed as the 1000 Year Return Period and as 1000:1 odds of occurrence in any given year.

The Mid-Range Future Scenario extents where generated taking in in the potential effects of climate change using an increase in rainfall of 20% and sea level rise of 500mm (20 inches).

Data has been produced for the 'Areas of Further Assessment' (AFAs), as required by the EU 'Floods' Directive [2007/60/EC] and designated under the Preliminary Flood Risk Assessment, and also for other reaches between the AFAs and down to the sea that are referred to as 'Medium Priority Watercourses' (MPWs). River reaches that have been modelled are indicated by the CFRAM Modelled River Centrelines dataset.

Flooding from other reaches of river may occur, but has not been mapped, and so areas that are not shown as being within a flood extent may therefore be at risk of flooding from unmodelled rivers (as well as from other sources).

The purpose of the Flood Maps is not to designate individual properties at risk of flooding. They are community-based maps.

Lineage: Fluvial and coastal flood map data is developed using hydrodynamic modelling, based on calculated design river flows and extreme sea levels, surveyed channel cross-sections, in-bank / bank-side / coastal structures, Digital Terrain Models, and other relevant datasets (e.g. land use, data on past floods for model calibration, etc.).

The process may vary for particular areas or maps. Technical Hydrology and Hydraulics Reports set out full technical details on the derivation of the flood maps.

For fluvial flood levels, calibration and verification of the models make use of the best available data, including hydrometric records, photographs, videos, press articles and anecdotal information. Subject to the availability of suitable calibration data, models are verified in so far as possible to target vertical water level accuracies of approximately +/-0.2m for areas within the AFAs, and approximately +/-0.4m along the MPWs.

For coastal flood levels, the accuracy of the predicted annual exceedance probability (AEP) of combined tide and surge levels depends on the accuracy of the various components used in deriving these levels i.e. accuracy of the tidal and surge model, the accuracy of the statistical data and the accuracy for the conversion from marine datum to land levelling datum. The output of the water level modelling, combined with the extreme value analysis undertaken as detailed above is generally within +/-0.2m for confidence limits of 95% at the 0.1% AEP. Higher probability (lower return period) events are expected to have tighter confidence limits.

Purpose: The data has been developed to comply with the requirements of the European Communities (Assessment and Management of Flood Risks) Regulations 2010 to 2015 (the “Regulations”) (implementing Directive 2007/60/EC) for the purposes of establishing a framework for the assessment and management of flood risks, aiming at the reduction of adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods....

Known for its beautiful beaches and marshlands, coastal South Carolina has seen a 20 percent population increase over the past decades, which in turn has led to an increase in land covered by impervious surfaces such as roads and parking lots. This has led to higher volumes of stormwater runoff, which heightens flood risk and degrades water quality. Climate change will only make this problem worse. To address these challenges, South Carolina decision-makers will need locally relevant information and guidance to help them implement innovative low impact development techniques that mimic natural landscapes and hydrologic processes.