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This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of average climate conditions (1978–2007 rainfall) and 2010 land cover, as described in USGS SIR 2014-5168. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model subareas were generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets that characterize the spatial distribution of rainfall, fog interception, irrigation, reference evapotranspiration, direct runoff,...
This data release contains a comma-delimited ascii file of seven same-day, discrete discharge measurements made at sites along selected reaches of Honokōwai Stream, Maui, Hawai'i on August 11, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging...
This data release contains a comma-delimited ascii file of seven same-day, discrete discharge measurements made at sites along selected reaches of Olowalu Stream, Maui, Hawai'i on May 12, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging...
This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of current conditions (2001-10 rainfall and 2001-10 land cover), as described in USGS Scientific Investigations Report (USGS SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 318,429 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial datasets. Spatial datasets merged include those that characterize...
This data release contains a comma-delimited ascii file of six same-day, discrete discharge measurements made at sites along selected reaches of Kahoma Stream, Maui, Hawai'i on November 30, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging...
This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of predevelopment conditions (1978–2007 rainfall and 1870 land cover), as described in USGS Scientific Investigations Report (SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea dataset, consisting of 318,429 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial datasets. Spatial datasets merged include those that...
This data release contains a comma-delimited ascii file of twenty same-day, discrete discharge measurements made at sites along selected reaches of Honokōhau Stream, Maui, Hawai'i on August 25, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging...
This data release contains a comma-delimited ascii file of ten same-day, discrete discharge measurements made at sites along selected reaches of Ukumehame Gulch, Maui, Hawai'i on June 7, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging...
This data release contains a comma-delimited ascii file of four same-day, discrete discharge measurements made at sites along selected reaches of Kanahā Stream, Maui, Hawai'i on June 1, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow...
This part of the data release presents projected flooding extent polygon (flood masks) and flooding depth points (flood points) shapefiles based on wave-driven total water levels for the State of Hawaii (the islands of Hawaii, Kahoolawe, Kauai, Lanai, Maui, Molokai, Niihau, and Oahu). For each island there are 8 associated flood mask and flood depth shapefiles: one for each of four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years) and both with (wrf) and without (worf) the presence of coral reefs. Flooding depth point data are also presented as a comma-separated value (.csv) text file.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CMHRP,
Coastal and Marine Hazards and Resources Program,
Coral Reef,
Habitat,
Hawaiian Islands,
This dataset describes land cover and vegetation for the island of Maui, Hawaii, 2017, hereinafter the 2017 land-cover map. The 2017 land-cover map is a modified version of the 2010 land-cover map included in the geospatial dataset titled "Mean annual water-budget components for the Island of Maui, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)" by Johnson (2017). The 2010 land-cover map was generated by intersecting (merging) multiple spatial datasets that characterize the spatial distribution of rainfall, cloud-water (or fog) interception, irrigation, reference evapotranspiration, direct runoff, soil type, and land cover. Land-cover designations in the 2010 land-cover...
Categories: Data Release - Revised;
Tags: Hawaii,
Land Use and Land Cover Map,
Maui,
Pacific islands,
USGS Science Data Catalog (SDC),
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