The West Virginia Department of Environmental Protection (WVDEP) Water Resources Management Plan Mapping tool was developed in cooperation with the Center for Environmental, Geotechnical and Applied Sciences (CEGAS) at Marshall University. It serves as a public information portal for data related to water resources in the state of West Virginia. The Water Use Section of the WVDEP created this tool to meet the general requirements of the Water Resources Protection and Management Act of 2008. This site provides access to Large Quantity water user reports as well as other GIS data layers pertinent to water resource management in the state of West Virginia.

Bear Lake provides a unique location to use bathymetric data to analyze the relationship between changing water surface elevations and the accessible spawning habitat for fish species. The spawning habitat for the prey species of Bear Lake consists of cobble which is present in the littoral zone of the lake. The littoral zone is classified as the area of the water column that has light penetration, sufficient for macrophytes to photosynthesis, to reach the sediment floor of the lake. The analysis was performed using ESRI’s ArcMap and Python coding to calculate, automate, and illustrate this relationship; and to provide a possible methodology for water and wildlife management to apply to their unique situations to make informed decisions in the future. This method is advantageous when analyzing present or future conditions because of its versatility to create hypothetical scenarios.

Esri's Water Resources GIS Platform offers a comprehensive suite of tools and resources designed to modernize water resource management. It emphasizes geospatial solutions for monitoring, analyzing, and modeling water systems, helping decision-makers tackle challenges like drought resilience, flood mitigation, and environmental protection. By leveraging the capabilities of ArcGIS, users can transform raw water data into actionable insights, ensuring more efficient and effective water resource management.A central feature of the platform is Arc Hydro, a specialized data model and toolkit developed for GIS-based water resource analysis. This toolset allows users to integrate, analyze, and visualize water datasets for applications ranging from live stream gauge monitoring to pollution control. Additionally, the platform connects users to the ArcGIS Living Atlas of the World, which offers extensive water-related datasets such as rivers, wetlands, and soils, supporting in-depth analyses of hydrologic conditions. The Hydro Community further enhances collaboration, enabling stakeholders to share expertise, discuss challenges, and build innovative solutions together.Esri’s platform also provides training opportunities and professional services to empower users with technical knowledge and skills. Through instructor-led courses, documentation, and best practices, users gain expertise in using ArcGIS and Arc Hydro for their specific water management needs. The combination of tools, datasets, and community engagement makes Esri's water resources platform a powerful asset for advancing sustainable water management initiatives across public and private sectors.

Indicator 6.5.1 tracks the degree of integrated water resources management (IWRM) implementation, by assessing the four key components of IWRM:

The African Water Resource Database (AWRD) is a set of data and custom-designed tools, combined in a GIS analytical framework aimed at facilitating responsible inland aquatic resource management with a specific focus on inland fisheries and aquaculture. It provides a valuable instrument to promote food security. The AWRD data archive includes an extensive collection of datasets covering the African continent, including: surface waterbodies, watersheds, aquatic species, rivers, political boundaries, population density, soils, satellite imagery and many other physiographic and climatological data. To display and analyse the archival data, it also contains a large assortment of new custom applications and tools programmed to run under version 3 of the ArcView GIS software environment (ArcView 3.x).

The global market for Water Conservancy Project Information Management Systems (WCIMS) is experiencing robust growth, driven by increasing government investments in water infrastructure modernization and a rising need for efficient water resource management. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $9 billion by 2033. This growth is fueled by several key factors, including the increasing adoption of advanced technologies like Geographic Information Systems (GIS), cloud computing, and the Internet of Things (IoT) for enhanced data collection, analysis, and decision-making. Furthermore, stringent regulations related to water resource management and the growing awareness of water scarcity are compelling governments and organizations to implement sophisticated WCIMS solutions. The market is segmented by application (e.g., dam safety monitoring, irrigation management, flood forecasting) and type (e.g., on-premise, cloud-based solutions), each segment contributing to the overall market expansion. The Asia-Pacific region, particularly China and India, is expected to witness significant growth due to substantial investments in water infrastructure projects and the expanding adoption of digital technologies in the water sector. However, challenges remain, including the high initial investment costs associated with WCIMS implementation and the need for skilled personnel to operate and maintain these systems. These challenges, while present, are not expected to significantly impede the long-term growth trajectory of the WCIMS market. The competitive landscape is characterized by a mix of established players and emerging technology providers. Major companies are focusing on strategic partnerships, acquisitions, and technological advancements to maintain a competitive edge. Regional variations in market penetration are expected, with developed regions exhibiting higher adoption rates compared to developing economies. Nevertheless, the increasing digitalization efforts in emerging markets are anticipated to create substantial growth opportunities for WCIMS vendors in the coming years. Continued innovation in areas like predictive analytics, AI-powered insights, and real-time data monitoring will further enhance the capabilities of WCIMS, driving market expansion and creating new revenue streams for industry participants. The market is poised for sustained growth, making it an attractive sector for both investors and technology providers.

This Web Map Service (WMS) provides a series of geospatial layers focusing on water resource management, groundwater dependency, environmental vulnerabilities, and human interaction with hydrological systems. The data is designed for visualization in GIS applications, supporting analysis of water sustainability, pollution, and resource stress.Key Themes and Layer Descriptions:Fresh Water Abstraction (GP):Fresh water abstraction for industrial use (m³/yr): Annual volumes of water extracted for industrial purposes.Fresh water abstraction for domestic/public water use (m³/yr): Water withdrawal volumes for household and public utilities.Groundwater Dependency (GC and GA):Human dependency on groundwater (GC2.x, GA2.x): Represents the percentage of groundwater reliance for industrial, domestic, and agricultural purposes.Agricultural use (GC2.3, GA2.3): Percentage of agricultural dependency.Industrial use (GC2.4, GA2.4): Percentage of industrial dependency.Domestic use (GC2.2, GA2.2): Percentage of domestic dependency.Environmental Vulnerabilities and Ecosystem Dependency:Vulnerability to pollution (GC1.6): Groundwater susceptibility to contamination, expressed as a percentage.Vulnerability to climate change (GC1.5): Index of potential climate impacts on water systems.Ecosystem dependency on groundwater (GC2.5): Percentage of ecosystems relying on groundwater resources.Groundwater Pollution and Depletion:Groundwater pollution (GC3.2, GA3.2): Indicators of groundwater contamination levels (%).Groundwater depletion (GA3.1): Annual depletion rates (mm/yr).Population Density (GC4.x, GA4.x):Population density (capita/km²): Layers providing demographic insights linked to water resource stress.Groundwater Development Stress (GA4.2):Measures the level of stress on groundwater resources due to development activities (%).Springs and Ecosystem Health (GC2.6):Prevalence of springs (%): Indicates the availability of natural water sources across the area.PurposeThese layers serve as a tool for:Water Resource Management: Analyzing industrial, agricultural, and domestic water use.Sustainability Planning: Identifying regions with high groundwater stress and depletion risks.Environmental Assessment: Evaluating vulnerability to pollution and climate change.Policy Making: Supporting data-driven decisions for sustainable development.

This document outlines some of the methods used by Geoscience Australia (GA) to symbolise the Geology and Hydrogeology map of Timor-Leste. It is designed to be used as a knowledge-sharing and educational tool by water resource management and geology technicians from Timor-Leste government agencies.

The hydrological software market, currently valued at $733 million in 2025, is projected to experience robust growth, driven by increasing demand for accurate and efficient water resource management solutions. The rising frequency and intensity of extreme weather events, coupled with growing concerns over water scarcity and pollution, are compelling governments and organizations to adopt sophisticated hydrological modeling tools. This market expansion is further fueled by advancements in technology, such as cloud computing and AI, which are enhancing the capabilities and accessibility of hydrological software. The integration of these technologies allows for more detailed simulations, better predictions of hydrological events, and improved decision-making processes. Key players like Gardenia, GeoHECHMS, and MIKE SHE are actively shaping this landscape through continuous innovation and strategic partnerships. The market is segmented based on software type (e.g., 2D/3D modeling, GIS integration), application (e.g., flood forecasting, water quality management), and user type (e.g., government agencies, consulting firms). The global nature of water resource challenges ensures that the market will witness significant growth across various regions, with North America and Europe anticipated to hold substantial market shares due to existing infrastructure and regulatory frameworks. Continued technological advancements, coupled with rising awareness of water resource management, will likely propel the CAGR of 8.1% throughout the forecast period (2025-2033). The competitive landscape is marked by a mix of established players and emerging technology providers. Established players leverage their extensive experience and comprehensive product portfolios to maintain market share. However, emerging companies are introducing innovative solutions and disrupting the market with advanced functionalities and cost-effective solutions. Future growth will hinge on the continued development of user-friendly interfaces, integration with other data sources, and the ability to effectively address the specific hydrological challenges of diverse geographic locations. The ongoing development of more sophisticated algorithms and the increasing availability of high-resolution data will further enhance the accuracy and reliability of hydrological models, solidifying the market's long-term growth trajectory. A focus on data security and user training will be crucial for wider adoption and market penetration.

The lake mapping service market is experiencing robust growth, driven by increasing concerns about water resource management, ecological preservation, and the impacts of climate change. The market, estimated at $2 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching a value exceeding $3.5 billion. This expansion is fueled by several key factors. Firstly, the rising adoption of advanced technologies such as aerial photography, satellite imagery, and LiDAR is enabling more precise and detailed lake mapping, providing valuable data for various applications. Secondly, governmental initiatives focused on environmental monitoring and water resource management are creating a significant demand for these services, particularly in regions facing water scarcity or experiencing ecological degradation. The market is segmented by application (environmental monitoring, resource management, ecological studies, others) and type (aerial photography, satellite imagery, others), with environmental monitoring and resource management currently dominating the applications segment. North America and Europe are currently the leading regional markets, benefiting from robust environmental regulations and higher technological adoption rates. However, developing regions in Asia-Pacific and South America are expected to witness significant growth in the coming years due to increasing infrastructure development and growing awareness of water resource conservation. Despite the positive outlook, the market faces challenges. The high initial investment cost of equipment and software, coupled with the specialized expertise required for data analysis and interpretation, can pose barriers to entry for new market players. Moreover, variations in weather conditions and geographical accessibility can impact data acquisition and potentially increase project costs. However, the ongoing development of more efficient and cost-effective technologies, coupled with increasing government support for environmental projects, is expected to mitigate these challenges. Competitive landscape analysis reveals a fragmented market with numerous established players and emerging companies. Companies offering specialized services, coupled with advanced analytical capabilities, are likely to gain a strong competitive edge in this rapidly evolving market.

These are the locations of the Active Water Resource Management basins in the State of New Mexico.

A dataset within the Harmonized Database of Western U.S. Water Rights (HarDWR). For a detailed description of the database, please see the meta-record v2.0. Changelog v2.0 - No changes v1.0 - Initial public release Description Borders of all Water Management Areas (WMAs) across the 11 western-most states of the coterminous United States are available filtered through a single source. The legal name for this set of boundaries varies state-by-state. The data is provided as two compressed shapefiles. One, stateWMAs, contains data for all 11 states. For 10 of those states, Arizona being the exception, the polygons represent the legal management boundaries used by those states to manage their surface and groundwater resources respectively. WMAs refer to the set of boundaries a particular state uses to manage its water resources. Each set of boundaries was collected from the states individually, and then merged into one spatial layer. The merging process included renaming some columns to enable merging with all other source layers, as well as removing columns deemed not required for followup analysis. The retained columns for each boundary are: basinNum - the state provided unique numerical ID; basinName - the state provided English name of the area, where applicable; state - the state name; and uniID - a unique identifier we created by concatenating the state name, and underscore, and the state numerical ID. Arizona is unique within this collection of states in that surface and groundwater resources are managed using two separate sets of boundaries. During our followup analysis (Grogan et al., in review) we decided to focus on one set of boundaries, those for surface water. This is due to the recommendation of our hydrologists that the surface water boundary set is a more realist representation of how water moves across the landscape, as a few of the groundwater boundaries are based on political and/or economic considerations. Therefore, the Arizona surface WMAs are included within stateWMAs. The Arizona groundwater WMAs are provided as a separate file, azGroundWMAs, as a companion to the first file for completeness and general reference. WMA spatial boundary data sources by state: Arizona: Arizona Surface Water Watersheds; Collected February, 2020; https://gisdata2016-11-18t150447874z-azwater.opendata.arcgis.com/datasets/surface-watershed/explore?location=34.158174%2C-111.970823%2C7.50 Arizona: Arizona Ground Water Basins; Collected February, 2020; https://gisdata2016-11-18t150447874z-azwater.opendata.arcgis.com/datasets/groundwater-basin-2/explore?location=34.158174%2C-111.970823%2C7.50 California: California CalWater 2.2.1; Collected February, 2020; https://www.mlml.calstate.edu/mpsl-mlml/data-center/data-entry-tools/data-tools/gis-shapefile-layers/ Colorado: Colorado Water District Boundaries; Collected February, 2020; https://www.colorado.gov/pacific/cdss/gis-data-category Idaho: Idaho Department of Water Resources (IDWR) Administrative Basins; Collected November, 2015; https://data-idwr.opendata.arcgis.com/datasets/fb0df7d688a04074bad92ca8ef74cc26_4/explore?location=45.018686%2C-113.862284%2C6.93 Montana: Collected June, 2019; Directly contacted Montana Department of Natural Resources and Conservation (DNRC) Office of Information Technology (OIT) Nevada: Nevada State Engineer Admin Basin Boundaries; Collected April, 2020 https://ndwr.maps.arcgis.com/apps/mapviewer/index.html?layers=1364d0c3a0284fa1bcd90f952b2b9f1c New Mexico: New Mexico Office of the State Engineer (OSE) Declared Groundwater Basins; Collected April, 2020 https://geospatialdata-ose.opendata.arcgis.com/datasets/ose-declared-groundwater-basins/explore?location=34.179783%2C-105.996542%2C7.51 Oregon: Oregon Water Resources Department (OWRD) Administrative Basins; Collected February, 2020; https://www.oregon.gov/OWRD/access_Data/Pages/Data.aspx Utah: Utah Adjudication Books; Collected April, 2020; https://opendata.gis.utah.gov/datasets/utahDNR::utah-adjudication-books/explore?location=39.497165%2C-111.587782%2C-1.00 Washington: Washington Water Resource Inventory Areas (WRIA); Collected June, 2017; https://ecology.wa.gov/Research-Data/Data-resources/Geographic-Information-Systems-GIS/Data Wyoming: Wyoming State Engineer's Office Board of Control Water Districts; Collected June, 2019; Directly contacted Wyoming State Engineer's Office

Data OriginThe dataset provided by Ofwat is rooted in legal records. The dataset is digitised from the official appointments of companies as water and sewage undertakers, which include legally binding documents and maps. These documents establish the specific geographic areas each water company is responsible for. The dataset was sourced from Constituency information: Water companiesData TriageAnonymisation is not required for this dataset, since the data is publicly available and focuses on geographical boundaries of water companies rather than individual or sensitive information. The shapefile serves a specific purpose related to geospatial analysis and regulatory compliance, offering transparent information about the service areas of different water companies as designated by Ofwat.Further ReadingBelow is a curated selection of links for additional reading, which provide a deeper understanding of the water company boundaries datasetOfwat (The Water Services Regulation Authority): As the regulatory body for water and wastewater services in England and Wales, Ofwat's website is a primary source for detailed information about the water industry, including company boundaries.Data.gov.uk: This site provides access to national datasets, including the Water Resource Zone GIS Data (WRMP19), which covers all water resource zones in England. This dataset is crucial for understanding geographical boundaries related to water management.Water UK: As a trade body representing UK water and wastewater service providers, Water UK's website offers insights into the industry's workings, including aspects related to geographical boundaries.Specifications and CaveatsWhen compiling the dataset, the following specifications and caveats were made:This shapefile is intended solely for geospatial analysis. The authoritative legal delineation of areas is maintained in the maps and additional details specified in the official appointments of companies as water and/or sewerage undertakers, along with any alterations to their areas.The shapefile does not encompass data on any structures or properties that, despite being outside the designated boundary, are included in the area, or those within the boundary yet excluded from the area.In terms of geospatial analysis and visual representation, the Mean High Water Line has been utilized to define any boundary extending into the sea, though it's more probable that the actual boundary aligns with the low water mark. Furthermore, islands that are incorporated into the area might not be included in this representation.Ofwat’s data was last updated on 25th May 2022Contact Details If you have a query about this dataset, please email foi@ofwat.gov.uk

This dataset represents a water shortage vulnerability analysis performed by DWR using modified PLSS sections pulled from the Well Completion Report PLSS Section Summaries. The attribute table includes water shortage vulnerability indicators and scores from an analysis done by CA Department of Water Resources, joined to modified PLSS sections. Several relevant summary statistics from the Well Completion Reports are included in this table as well. This data is from the 2024 analysis.

Water Code Division 6 Part 2.55 Section 8 Chapter 10 (Assembly Bill 1668) effectively requires California Department of Water Resources (DWR), in consultation with other agencies and an advisory group, to identify small water suppliers and “rural communities” that are at risk of drought and water shortage. Following legislation passed in 2021 and signed by Governor Gavin Newsom, the Water Code Division 6, Section 10609.50 through 10609.80 (Senate Bill 552 of 2021) effectively requires the California Department of Water Resources to update the scoring and tool periodically in partnership with the State Water Board and other state agencies. This document describes the indicators, datasets, and methods used to construct this deliverable.  This is a statewide effort to systematically and holistically consider water shortage vulnerability statewide of rural communities, focusing on domestic wells and state small water systems serving between 4 and 14 connections. The indicators and scoring methodology will be revised as better data become available and stake-holders evaluate the performance of the indicators, datasets used, and aggregation and ranking method used to aggregate and rank vulnerability scores. Additionally, the scoring system should be adaptive, meaning that our understanding of what contributes to risk and vulnerability of drought and water shortage may evolve. This understanding may especially be informed by experiences gained while navigating responses to future droughts.”

A spatial analysis was performed on the 2020 Census Block Groups, modified PLSS sections, and small water system service areas using a variety of input datasets related to drought vulnerability and water shortage risk and vulnerability. These indicator values were subsequently rescaled and summed for a final vulnerability score for the sections and small water system service areas. The 2020 Census Block Groups were joined with ACS data to represent the social vulnerability of communities, which is relevant to drought risk tolerance and resources. These three feature datasets contain the units of analysis (modified PLSS sections, block groups, small water systems service areas) with the model indicators for vulnerability in the attribute table. Model indicators are calculated for each unit of analysis according to the Vulnerability Scoring documents provided by Julia Ekstrom (Division of Regional Assistance).

All three feature classes are DWR analysis zones that are based off existing GIS datasets. The spatial data for the sections feature class is extracted from the Well Completion Reports PLSS sections to be aligned with the work and analysis that SGMA is doing. These are not true PLSS sections, but a version of the projected section lines in areas where there are gaps in PLSS. The spatial data for the Census block group feature class is downloaded from the Census. ACS (American Communities Survey) data is joined by block group, and statistics calculated by DWR have been added to the attribute table. The spatial data for the small water systems feature class was extracted from the State Water Resources Control Board (SWRCB) SABL dataset, using a definition query to filter for active water systems with 3000 connections or less. None of these datasets are intended to be the authoritative datasets for representing PLSS sections, Census block groups, or water service areas. The spatial data of these feature classes is used as units of analysis for the spatial analysis performed by DWR.

These datasets are intended to be authoritative datasets of the scoring tools required from DWR according to Senate Bill 552. Please refer to the Drought and Water Shortage Vulnerability Scoring: California's Domestic Wells and State Smalls Systems documentation for more information on indicators and scoring. These estimated indicator scores may sometimes be calculated in several different ways, or may have been calculated from data that has since be updated. Counts of domestic wells may be calculated in different ways. In order to align with DWR SGMO's (State Groundwater Management Office) California Groundwater Live dashboards, domestic wells were calculated using the same query. This includes all domestic wells in the Well Completion Reports dataset that are completed after 12/31/1976, and have a 'RecordType' of 'WellCompletion/New/Production or Monitoring/NA'.

Please refer to the Well Completion Reports metadata for more information. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.4, dated September 14, 2022. DWR makes no warranties or guarantees — either expressed or implied— as to the completeness, accuracy, or correctness of the data.

DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.

The aerial photographs, taken on the 6th of February 1975 at a scale 1: 50 000, were obtained from the Survey of Kenya and were used to generate my original data.

The hydrological services market, currently valued at $727 million in 2025, is projected to experience robust growth, driven by increasing concerns about water scarcity, climate change impacts, and the need for effective water resource management. The Compound Annual Growth Rate (CAGR) of 6.8% from 2025 to 2033 indicates a significant expansion of this market over the forecast period. Key drivers include the rising demand for accurate hydrological data for infrastructure planning (dams, irrigation systems, etc.), improved flood forecasting and risk mitigation, and the growing adoption of advanced technologies such as remote sensing, GIS, and hydrological modeling. Furthermore, stricter environmental regulations and increasing government investments in water infrastructure projects are fueling market expansion. Competitive pressures within the industry are shaping innovation, pushing providers to offer more comprehensive and integrated services. Major players like FloSolutions, Gomez and Sullivan, and others are investing in research and development to enhance their offerings and gain a competitive edge. The market is segmented by service type (e.g., hydrological modeling, data acquisition, flood risk assessment) and geographical region. While precise regional breakdowns are unavailable, it is reasonable to expect that regions facing water stress and those with significant investments in water infrastructure will represent the largest market segments. The market's growth, however, is not without its challenges. Restraints include the high cost of advanced hydrological technologies and the need for specialized expertise to effectively utilize these tools. Data scarcity in certain regions, and the complexity of hydrological modeling in diverse geographical contexts, can also pose barriers to market penetration. Nevertheless, the increasing awareness of water resource management challenges coupled with technological advancements is expected to outweigh these constraints, leading to sustained market expansion throughout the forecast period. The market is expected to see further consolidation with larger players acquiring smaller firms to expand their service offerings and geographical reach. This will increase competition and drive innovation within the market.

Smart Water Management (SWM) Market Outlook

The Smart Water Management (SWM) market size is projected to experience significant growth over the coming years, with a global valuation of $12 billion in 2023, and it is expected to reach approximately $25 billion by 2032, reflecting a steady CAGR of around 8.5%. This robust growth is primarily driven by the increasing need for sustainable and efficient water management solutions amid growing water scarcity issues and aging water infrastructure across the globe. Key factors contributing to this acceleration include technological advancements in water management systems, increased urbanization, and rising government initiatives to promote smart water technologies for better resource management and conservation.

One of the primary growth factors for the SWM market is the global emphasis on sustainable water usage and management. With climate change and population growth exerting pressure on existing water resources, there is an imperative need to adopt smart water management solutions that enhance efficiency and reduce waste. Governments and organizations worldwide are investing in smart technologies to monitor, control, and optimize water distribution networks, which is driving demand in the market. The integration of Internet of Things (IoT) technologies, along with data analytics, has significantly improved the capability of smart water systems to provide real-time insights, further fueling market growth.

Another vital growth catalyst for the smart water management market is technological innovation. The evolution of smart meters, Geographic Information Systems (GIS), and Supervisory Control and Data Acquisition (SCADA) systems has revolutionized the way water resources are managed. These technologies allow for precise monitoring and management of water supply networks, leading to reduced operational costs and enhanced service delivery. The growing adoption of cloud-based solutions for water management systems is also facilitating the transition to more advanced, reliable, and scalable smart water management platforms.

Additionally, government policies and regulatory frameworks play a crucial role in propelling the SWM market. Many countries are implementing stringent policies to address water scarcity and pollution issues, which in turn are prompting water utilities and industries to adopt intelligent water management solutions. Subsidies, grants, and funding initiatives by various governments to encourage the adoption of smart water technologies are also contributing significantly to market growth. These initiatives are not only enhancing water conservation efforts but also promoting sustainable development in water-scarce regions.

Regionally, the smart water management market exhibits diverse growth patterns. North America remains a leading market due to early technology adoption and substantial investments in infrastructure development. Meanwhile, Asia Pacific is witnessing rapid growth, attributed to increasing urbanization and industrialization, coupled with government initiatives aimed at enhancing water management practices. Europe, with its focus on sustainable development and environmental conservation, is also a significant market for SWM. The Middle East & Africa and Latin America are emerging markets, driven by the need for efficient water management solutions to combat water scarcity challenges and bolster economic development.

Component Analysis

The component segment of the smart water management market is broadly categorized into hardware, software, and services, each playing a vital role in the deployment and efficiency of smart water technologies. The hardware segment, comprising sensors, meters, and networking devices, forms the backbone of smart water systems by facilitating the collection and transmission of data. These components are critical for real-time monitoring and management of water resources, thereby significantly enhancing operational efficiency. Advanced smart meters, in particular, are witnessing increasing demand as they enable precise measurement of water usage, which is essential for both consumers and utilities to manage water consumption effectively.

The software component of the SWM market encompasses data analytics, advanced visualization tools, and control systems, which are pivotal in translating raw data into actionable insights. Software solutions are integral for utilities and service providers to monitor water distribution networks, detect leaks, and optimize resource allocation. The integration of cloud-based platforms and artificial intelligence in water management

Download .zipThis ground-water resources theme shows an estimate of sustainable yield available from the aquifers in the area. Individual well yields may vary.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Dataset WM1127 contains all the …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Dataset WM1127 contains all the water resource plan (WRP) areas in Queensland that are in force in legislation currently, except for the Great Artesian Basin (GAB) WRP area (dataset WM0702). (For more information see http://www.dnrm.qld.gov.au/water/catchments-planning ). WM1127 replaced WM0924v2 due to the "Water Resource (Burnett Basin) Plan 2014" (Burnett 2014 WRP) coming into force (mapping accuracy improvements were applied for part of the Burnett WRP area). (Reference: CAS1881, 2026.) Purpose Legislation: 2000 Act Number 34, "Water Act 2000", Part 3 "Water planning", Division 2 "Water resource plans", Subdivision 1 "Power to prepare water resource plans", section 38 "Minister may prepare water resource plans" and section 55 "When water resource plans may be amended or replaced" (http://www.legislation.qld.gov.au/OQPChome.htm http://www.legislation.qld.gov.au/LEGISLTN/CURRENT/W/WaterA00.pdf ). Subordinate legislation: "Water Resource (title) Plan year" (http://www.legislation.qld.gov.au/Acts_SLs/Acts_SL_W.htm ). Dataset History Metadata format: Esri ArcGIS v10+ Style: ISO 19139. (Open Data metadata is supplied in three formats: HyperText Markup Language (.htm file), Esri ArcGIS v10+ ArcGIS metadata (.shp.xml file), and International Standards Organisation (ISO) 19139 "Geographic Information - Metadata XML schema implementation" of ISO 19115 "Geographic Information - Metadata" (_ISO19139.xml file). View the .htm file in a web browser, the .shp.xml file in Esri ArcGIS v10+, and the ISO19139 file in other GIS applications. The ArcGIS metadata format is editable in ArcGIS and has live hyperlinks.) Mapping scale is generally 1:100,000 and enhanced in places with larger scale mapping (for example 1:25,000) and in places by ground truthing by visiting the location. If required, more information should be obtained from the department where an area of interest is near to or crossing a boundary. Information asset theme "water management", subtheme "management area", "water resource plan". Attributes: SDI Spatial Data Index, departmental internal unique identifier for a Feature Object and Feature Class. TITLE Title (name). COMMENCE Commencement date "in force". COMMENCESL Subordinate legislation number. INTERNET Uniform Resource Locator (URL, web address) of department webpage for the object. Dataset Citation Queensland Government (2015) Water resource plan areas - Queensland. Bioregional Assessment Source Dataset. Viewed 11 April 2016, http://data.bioregionalassessments.gov.au/dataset/d2fe0619-4545-4bd0-b983-5cbb4e9399be.

The lake mapping service market is experiencing robust growth, driven by increasing demand for effective resource management, environmental monitoring, and ecological studies. A rising global population and the consequent pressure on water resources are key factors fueling this expansion. Furthermore, advancements in remote sensing technologies, such as aerial photography and satellite imagery, are providing higher-resolution data, leading to more accurate and detailed lake mapping. This enhanced accuracy enables better informed decision-making for various applications, including identifying pollution sources, assessing water quality, monitoring shoreline changes, and managing aquatic vegetation. The market is segmented by application (environmental monitoring, resource management, ecological studies, and others) and type of imagery (aerial photography, satellite imagery, and others). While precise market sizing data was not provided, a conservative estimate based on industry trends and comparable markets suggests a current market value of approximately $500 million in 2025, with a compound annual growth rate (CAGR) of around 7% projected through 2033. This growth is expected across all regions, with North America and Europe currently holding significant market shares due to higher adoption rates and established regulatory frameworks for environmental monitoring. However, Asia-Pacific is poised for significant expansion in the coming years due to increasing government investments in infrastructure and water resource management. Potential restraints include the high initial investment costs associated with advanced mapping technologies and the need for skilled professionals to interpret and utilize the data effectively. The competitive landscape is characterized by a mix of established environmental consulting firms and specialized lake management companies. Key players are focusing on strategic partnerships and technological advancements to strengthen their market positions. The increasing availability of affordable, high-resolution imagery and user-friendly data analysis software is democratizing access to lake mapping services, making them more accessible to smaller organizations and government agencies with limited budgets. This trend is expected to accelerate market penetration and contribute to overall market growth. The future of lake mapping services is linked to the integration of advanced analytics, artificial intelligence, and machine learning for improved data interpretation, predictive modeling, and automated reporting. This will enhance the efficiency and effectiveness of lake management initiatives globally.