Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Sustainability Eventually (SuE). A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE).

Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on cropland availability in 2050. Full details about this dataset can be found at https://doi.org/10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933

Between 2022 and 2050, the sector most affected by water risk in the United States is expected to be banking and insurance, with an estimated total output loss of over 288 trillion U.S. dollars. This was followed by the energy and utilities sector with an estimated loss of 165 trillion U.S. dollars.

This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050.

Future Mean Monthly High Water (MMHW) projections for the 2050s from the New York City Panel on Climate Change (2019).

The economic losses due to water risk across the globe are projected to increase in the following decades. By 2050, the cumulative gross domestic product (GDP) loss worldwide is estimated to reach 5.6 trillion U.S. dollars. Furthermore, the country that is expected to have the largest GDP loss as a result of water hazard between 2022 and 2050 is the United States, with an estimated economic impact of some 3.7 trillion U.S. dollars.

The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.

The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Sustainability Eventually (SuE). In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.

Completed in 2024, this regional water demand forecast is for the seven-county CMAP region: Cook, DuPage, Kane, Kendall, Lake, McHenry, and Will Counties. The forecast was created using public water supply, industrial, institutional, and commercial self-supply self-reported data to the Illinois Water Inventory Program. Download an Excel workbook for a formatted version of this data.For more information on the forecast results and methodology, see the Regional Water Demand Forecast for Northeastern Illinois, 2020-2050. *All values are in Millions of Gallons per Day (MGD) unless otherwise noted.

By 2050, the United States is expected to have the largest economic loss due to water risk than any other country across the globe. China follows in second, but by a wide margin, with an estimated GDP loss of 1,144 billion U.S. dollars between 2022 and 2050.

The dataset includes the soil loss by water erosion projections by 2050. The data include 3 raster files for the corresponding three different greenhouse gas concentration scenarios (RCP2.6, RCP4.5, RCP8.5) , the erosivity projections and the C-factor 2050.

Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Economy First (EcF).A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE).

The sustainability of water resources in future decades is likely to be affected by increases in water demand due to population growth, increases in power generation, and climate change. This study presents water withdrawal projections in the United States (U.S.) in 2050 as a result of projected population increases and power generation at the county level as well as the availability of local renewable water supplies. The growth scenario assumes the per capita water use rate for municipal withdrawals to remain at 2005 levels and the water use rates for new thermoelectric plants at levels in modern closed-loop cooling systems. In projecting renewable water supply in future years, median projected monthly precipitation and temperature by sixteen climate models were used to derive available precipitation in 2050 (averaged over 2040–2059). Withdrawals and available precipitation were compared to identify regions that use a large fraction of their renewable local water supply. A water supply sustainability risk index that takes into account additional attributes such as susceptibility to drought, growth in water withdrawal, increased need for storage, and groundwater use was developed to evaluate areas at greater risk. Based on the ranking by the index, high risk areas can be assessed in more mechanistic detail in future work.

Report and methodology: ON TO 2050 Regional Water Demand Forecast for Northeastern Illinois, 2015-2050ON TO 2050 Regional Water Demand Forecast - Municipalities

Examination of water supply risk is important to identify areas of potential insecurity and prioritize allocation of resources. This work builds on and advances a previous U.S. water supply risk analysis developed at county-scale resolution, which did not account for water flow between counties and identified some counties on major rivers as being at high risk. This limitation is addressed in the present study. The analysis utilized data from U.S. Geological Survey water use reports to assess current water supply risk and also projected water supply risk in 2050. Flow volumes were calculated using the Water Supply Sustainability Index (WaSSI) tool developed by the USDA Forest Service, enabling the analysis to account for changes in climate and hydrology and changes in water demand. A modified Water Risk Index (WRI) was formulated, including five factors to which scaled values were assigned. Results indicate that accounting for natural transfers of water in counties in addition to local precipitation reduced the risk profile of many counties, with a maximum of 36 classified as high or very high risk, compared to over 400 identified in the highest risk category in the previous analysis.

This statistic displays a projection of the global demand for water (as a measure of freshwater withdrawals) that will occur in 2050, broken down by major world region and sector. In 2050, it is projected that the water demand of the global manufacturing sector will be about 1,200 cubic kilometers of water.

The sea level rise (SLR) coastal inundation layers were created using existing federal products: the (1) NOAA Coastal Digital Elevation Models (DEMs) and (2) 2022 Interagency Sea Level Rise Technical Report Data Files. The DEMs for the Continental United States (CONUS) are provided in North American Vertical Datum 1988 (NAVD 88) and were converted to Mean Higher High Water (MHHW) using the NOAA VDatum conversion surfaces; the elevation values are in meters (m). The NOAA Scenarios of Future Mean Sea Level are provided in centimeters (cm). The MHHW DEMs for CONUS were merged and converted to cm and Scenarios of Future Mean Sea Level were subtracted from the merged DEM. Values below 0 represent areas that are below sea level and are “remapped” to 1, all values above 0 are remapped to “No Data”, creating a map that shows only areas impacted by SLR. Areas protected by levees in Louisiana and Texas were then masked or removed from the results. This was done for each of the emissions scenarios (Lower Emissions = 2022 Intermediate SLR Scenario Higher Emissions = 2022 Intermediate High SLR Scenario) at each of the mapped time intervals (Early Century - Year 2030, Middle Century - Year 2050, and Late Century - Year 2090). The resulting maps are displayed in the CMRA Assessment Tool. County, tract, and tribal geographies summaries of percentage SLR inundation were also calculated using Zonal Statistics tools. The Sea Level Rise Scenario year 2020 is considered “baseline” and the impacts are calculated by subtracting the baseline value from each of the near-term, mid-term and long-term timeframes. General Disclaimer The data and maps in this tool illustrate the scale of potential flooding, not the exact location, and do not account for erosion, subsidence, or future construction. Water levels are relative to Mean Higher High Water (MHHW) (excludes wind driven tides). The data, maps, and information provided should be used only as a screening-level tool for management decisions. As with all remotely sensed data, all features should be verified with a site visit. Hydroconnectivity was not considered in the mapping process. The data and maps in this tool are provided “as is,” without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This tool should be used strictly as a planning reference tool and not for navigation, permitting, or other legal purposes. SLR visualizations and statistics are not available in CMRA for Hawaii, Alaska, or U.S. territories at this time. Levees Disclaimer Enclosed levee areas are displayed as gray areas on the maps. Major federal leveed areas were assumed high enough and strong enough to protect against inundation depicted in this viewer, and therefore no inundation was mapped in these regions. Major federal leveed areas were taken from the National Levee Database. Minor (nonfederal) leveed areas were mapped using the best available elevation data that capture leveed features. In some cases, however, breaks in elevation occur along leveed areas because of flood control features being removed from elevation data, limitations of the horizontal and vertical resolution of the elevation data, the occurrence of levee drainage features, and so forth. Flooding behind levees is only depicted if breaks in elevation data occur or if the levee elevations are overtopped by the water surface. At some flood levels, alternate pathways around—not through—levees, walls, dams, and flood gates may exist that allow water to flow into areas protected at lower levels. In general, imperfect levee and elevation data make assessing protection difficult, and small data errors can have large consequences. Citations 2022 Sea Level Rise Technical Report - Sweet, W.V., B.D. Hamlington, R.E. Kopp, C.P. Weaver, P.L. Barnard, D. Bekaert, W. Brooks, M. Craghan, G. Dusek, T. Frederikse, G. Garner, A.S. Genz, J.P. Krasting, E. Larour, D. Marcy, J.J. Marra, J. Obeysekera, M. Osler, M. Pendleton, D. Roman, L. Schmied, W. Veatch, K.D. White, and C. Zuzak, 2022: Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean Projections and Extreme Water Level Probabilities Along U.S. Coastlines. NOAA Technical Report NOS 01. National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp. https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nostechrpt01-global-regional-SLR-scenarios-US.pdf

This map shows the maximum water depth at a certain location for a flood due to intense precipitation with a small chance, medium chance and large chance in future climate (with climate projection 2050). The water depth in the flooded area (distance water surface to ground level) is expressed in centimetres.

Natural Resources: Protecting our region's assets report

National Water Security Plan 2015-2050 - Water for All