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39 results for “Groundwater Level”
Soil dissolved organic matter and greenhouse gas fluxes from intact Delmarva Bay wetland soil cores during laboratory simulation of groundwater level rise
Wetlands in low-relief landscapes have dynamic terrestrial-aquatic interfaces as surface water and groundwater levels fluctuate seasonally and these variable water levels influence wetland carbon cycling. Seasonal changes in groundwater levels determine which soils are hydrologically connected to the wetland surface water-groundwater continuum and therefore which soils act as carbon sources. To quantify groundwater-mediated soil dissolved organic matter (DOM) and greenhouse gas (CO2 and CH4) fluxes, we performed a laboratory simulation of groundwater rise on intact soil cores. Soil cores were collected from four Delmarva Bay wetlands located in the low-relief landscape of the Delmarva Peninsula in the Mid-Atlantic United States. At each wetland, two cores (length = 60 cm, diameter = 10.2 cm) were collected: one from within the wetland basin and the second from the transitional zone near the edge of the wetland basin (total number of cores collected = 8). To characterize seasonal hydrologic conditions at each wetland site where intact soil cores were collected (e.g., mean water level, number of saturation events, duration of saturation), we used high frequency water level data collected in wetland center and upland groundwater monitoring wells. In the lab, cores were re-saturated with groundwater over 15 days and after cores were fully re-saturated, core water levels were maintained for an additional 25 days. Water levels in each head tank and soil core were manually recorded on sub-daily timesteps. Rhizon soil porewater samplers were installed at 8, 20, and 40 cm below the soil surface reflecting the expected depths of the O, A, and B soil horizons across the wetland sites. Source groundwater, soil porewater, and exfiltrated surface water samples were collected daily from the soil cores and analyzed for pH, ORP, and DOM concentration (dissolved organic carbon) and DOM composition (absorbance and fluorescence metrics). Discrete measurements of CO2 and CH4 fluxes were
Groundwater levels and temperature in coastal tundra adjacent to Simpson Lagoon, Alaska, 2022
The coastal tundra adjacent to Simpson Lagoon, along Alaska's Beaufort Sea coast, was visited in July and September/October 2022 to assess coastal groundwater dynamics along the lagoon. Groundwater levels were monitored in five piezometers aligned in a transect oriented perpendicular to Simpson Lagoon, as well as surface water levels in the lagoon. Loggers were deployed on July 22, 2022, and collected on September 29, 2022. Data include surface water and groundwater elevation data from July 22, 2022, to September 29, 2022, with the elevation relative to a local datum. All levels have been corrected for barometric pressure (see methods). Also included is groundwater temperature data from the well closest to the lagoon (Well 5).
North Temperate Lakes LTER: Groundwater Levels 1984 - current
Water levels in monitoring wells are measured several times throughout the year. The number of monitored wells has ranged over the study period from 19 to 44 wells. Currently, 37 wells are being monitored 4 - 5 times per year. The wells are scattered throughout the Trout Lake hydrological basin and the data are used to calibrate and test regional groundwater flow models. In addition (see related data set - Groundwater Chemistry), water chemistry is measured annually in a subset of 11 of these wells to characterize regional groundwater chemistry in the Trout Lake area. Sampling Frequency: varies - generally from 4 - 9 times a year Number of sites: 44
Groundwater Levels on Hog Island, VA. 2007-2021
This dataset contains hourly measurements of groundwater levels on Hog Island, VA - off the Atlantic Coast of the Delmarva Peninsula. It continues measurements of groundwater levels that were initiated in by Frank Day in July 1990 (dataset VCR99066) and by Mark Brinson in October 1997 (dataset VCR05130). Refer to these datasets for previous measurements. The groundwater measurements use the same wells and locations, but differ in sensor technology and frequency of measurement. In August 2007, a system of wirelessly-connected data loggers designed by Thomas Williams was installed with help from Arthur Schwarzschild, Chris Buck, John Hayward and John Porter. The system was decomissioned December 31, 2021
Database of Geographic Information: Change in groundwater level, Central Arizona-Phoenix, 1985-2000
Change in Level of Groundwater in central Arizona-Phoenix, 1985-2000. This file shows spatial changes in groundwater levels for two separate time periods: 1985-1989 and 1996-2000. This is a spatial data object with a Coordinate Reference System (CRS) of EPSG:3479 NAD83(NSRS2007) / Arizona Central (ft); https://www.spatialreference.org/ref/epsg/3479/). The coordinate reference system (CRS) associated with these data when they were constructed initially was misrepresented in early versions (<= knb-lter-cap.101.8) of this dataset. The CAP LTER has attempted to assign a CRS based on reasonable values but the accuracy of the identified CRS cannot be certain.
Continuous groundwater well temperature, salinity and water level measurements at the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) site from May 2014 to February 2018
The Georgia Coastal Ecosystems LTER Seawater Addition Long-Term Experiment (SALTEx) is a large-scale field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. In order to characterize groundwater salinity, temperature, and plot flooding following experimental manipulation, unvented water pressure, temperature and conductivity were continuously measured in a PVC groundwater well installed at the SALTEx site. Measurements were made at the bottom of the well using a submerged Schlumberger CTD-Diver logger every 15 minutes from 30-May-2014 to 14-Feb-2018. In February 2016 a second CTD-Diver was deployed near the top of the well. Data were downloaded from the loggers using Diver Office communication software, then imported into MATLAB for post-processing, quality control and documentation. Raw, unvented pressure readings were corrected for atmospheric pressure and sensor height from the bottom of the well to generate corrected pressure readings, then water level, salinity and density were calculated from the measured variables using UNESCO algorithms. These data were collected as part of the Georgia Coastal Ecosystems LTER SALTEx project (http://gce-lter.marsci.uga.edu/public/app/send_project_eml.asp?id=73), and will be updated annually.
AGW03 Konza Prairie Long-term high frequency groundwater level and temperature from wells on N04d
The objectives of this project are to quantify the seasonably variable timing among meteoric precipitation, groundwater recharge, and groundwater temperature. Hypotheses are: 1. Because of the karst-like characteristics of the aquifers in N04d (and by extension, the entire region), recharge will be rapid during moderately large precipitation events where fractures are enlarged by dissolution and therefore highly conductive, except during the most active part of the growing season. 2. The recharge efficiency of the aquifers will be spatially variable, with highest hydraulic conductivity (because of solution enlargement of fractures) near the riparian zone. 3. Groundwater temperature will vary continuously over the year and also demonstrate abrupt changes after recharge-effective precipitation events when the precipitation temperature is different from the groundwater temperature. Because the aquifers are merokarst and recharge is rapid, data are recorded at high frequency (5 minute intervals).
Nyack Floodplain RiverNet surface water and groundwater dissolved oxygen, conductivity, water level, and temperature Northwest Montana, USA, 2012-2020
Water dissolved oxygen, conductivity, temperature, and level from ten locations in the Nyack Floodplain of the Middle Fork of the Flathead River in Northwest Montana, USA. Measurements are made hourly for the period of 2012 to 2020. Six sensor are placed in groundwater wells and four are placed in surface water. Data up to June 26h, 2019 have been cleaned to remove bad data and flag potentially anomalous observations.
Stream discharge and groundwater level data for the USVI
<p>.csv files containing 1) annual maximum stream discharge and corresponding cumulative precipitation data for three U.S. Virgin Islands (USVI) streams (one on St. Croix, St. Thomas, St. John) and 2) annual average groundwater levels for three monitoring wells in the USVI (one on St. Croix, St. Thomas, St. John). All of the data were collected by the U.S. Geological Survey and are available in government reports and online databases. </p>
Groundwater level data from 2013 to 2015 in Central Sands area, Wisconsin
38 groundwater wells' water level data in Central Sands area, Wisconsin. The Central Sands is an area of the state with a high density of high-capacity wells for irrigation. The Wisconsin Department of Natural Resources (WDNR), UW Extension, and the counties began monitoring shallow groundwater wells near lakes in 2013. The five counties include: Portage, Waupaca, Adams, Waushara, and Marquette. Volunteers were enlisted to monitor lake levels on 38 lakes in the region. Instead of using staff gauges, the team opted to install shallow groundwater wells near the lake shore. This eliminated the need to reinstall and survey staff gauges each season. It was assumed that shallow groundwater wells would be a good approximation of lake levels because the soils are made up of porous, sand material. On a subset of lakes, WDNR collected water level data from the shallow groundwater wells and from staff gauges at the same time. One season of monitoring showed that changes in water levels over time are similar, but the actual elevation of water in the well might be different than the surface of the lake. This data set can be downloaded from WDNR's SWIMS database: https://dnr.wi.gov/topic/surfacewater/swims/
Groundwater Levels at Phillips Creek Marsh, VA 2012-2020
This dataset contains information on water level and temperature in a series of groundwater wells in Phillips Creek Marsh, near Nassawadox, VA on the Eastern Shore of Virginia. Data on temperature and water pressure are collected every 12 minutes using automated "Ceradiver" data loggers and transformed following atmospheric adjustment into water levels. This dataset extends previous measurements using different technologies for three of the wells included in dataset: "Ground Water Level at Brownsville and Hog Island, VA 1997-2009" (knb-lter-vcr.142). The Creekbank (CB), High Marsh (BH) and Tracy2 sites are the CB1, JUNCUS2 and BW3 sites in this dataset, respectively.
Groundwater level data, aquifer system boundaries, and supplementary tables associated with Jasechko, S. et al. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, doi.org/10.1038/s41586-023-06879-8 (2024).
<p>Groundwater level data, aquifer system boundaries, and Supplementary Tables associated with Jasechko, S., Seybold, H., Perrone, D., Fan, Y., Shamsudduha, M., Taylor, R.G., Fallatah, O., Kirchner, J.W. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, https://doi.org/10.1038/s41586-023-06879-8 (2024).</p>
Groundwater level data used in the manuscript titled "An explainable Bayesian TimesNet for probabilistic groundwater level prediction with application to semi-arid regions"
<p>The standardized semimonthly groundwater levels collected from 30 monitoring wells in Dalad County, China. The data were obtained from the Ministry of Water Resources of China and the groundwater yearbooks. The data are used in our submitted manuscript titled "An explainable Bayesian TimesNet for probabilistic groundwater level prediction with application to semi-arid regions". If you find this dataset useful for your research, please consider to cite our manuscript upon publication. </p>
Multi-year dataset for groundwater level, temperature, and chemical and isotopic compositions of different water bodies in an alpine catchment on the northeastern Qinghai-Tibet Plateau, China
<p>Here we provide the multi-year dataset for groundwater level, temperature, and chemical and isotopic compositions of different water bodies in an alpine catchment on the northeastern Qinghai-Tibet Plateau, China. The first file contains monitoring data, including groundwater levels and ground temperatures. The second file includes the results of the sample analyses as well as the numbers and locations of the sampling sites.</p>
Groundwater level change data set and SAR analysis data set from the end of 2016 to the end of 2020 in the Osaka Plain and Kyoto Basin, Japan
<p>The .dat file contains data on groundwater level changes. Groundwater level data is hourly, and each line contains data for one day (24 hours). The name of the .dat files consists of the name of the groundwater level station and the observation period. Datasets that include raw in the name contain the respective date in the first column.</p> <p>Source: Water information System, Ministry of Land, Infrastructure, Transport and Tourism, 2017-2020. Groundwater level search results, http://www1.river.go.jp/ (accessed on 20 October 2021) [Translated from Japanese.] (In Japanese).</p> <p>SLC data for InSAR analysis can be obtained by running the .py file in python. python files are provided to obtain SLC data by two orbits, Ascending and Descending, respectively.</p> <p>Source: European Space Agency (ESA), https://search.asf.alaska.edu/#/</p>
FrenchPiezo: the French mainland groundwater level multivariate time series
<p><strong>FrenchPiezo </strong>is the French mainland multivariate time series dataset of groundwater levels (a.k.a piezometric levels) across the French mainland. The dataset contains 1026 multivariate time series, each made of 3 dimensions which are:</p> <ul> <li>the piezometric level (<strong>p</strong>),</li> <li>the precipitation (<strong>t</strong><strong>p</strong>),</li> <li>the evapotranspiration (<strong>e</strong>).</li> </ul> <p>Each time series is identified by a code (<strong>bss</strong>) which is the identifier of the piezometer used to measure the piezometric level. The measurements are sampled daily from January 2015 to January 2021, corresponding to 2221 days. The piezometric levels are collected from <a href="https://hubeau.eaufrance.fr/">Hub'Eau</a>, the French free API for accessing water data. The climate data <strong>tp </strong>and <strong>e </strong>are collected from the Copernicus ERA5 archive using their free API. These data are in the file <em>dataset_2015_2021.csv</em><strong> </strong>in which time series with more than 50 missing values have been dropped. The file <em>dataset_2015_2021_nomissing_linear.csv</em> is the same dataset in which missing values have been imputed using linear interpolation.</p> <p>In addition to the climate data, information about the nature of the soil where each time series is collected are downloaded from <a href="https://bdlisa.eaufrance.fr/decouvrir-la-bdlisa"><em>BDLISA</em></a> and are given in the file <em>dataset_stations.csv </em>. BDLISA classifies soils as hydrologic entities (EH), characterized by a set of attributes described <a href="https://www.sandre.eaufrance.fr/ftp/documents/fr/ddd/saq/2.1/sandre_dictionnaire_SAQ__2.1.pdf">here</a>: </p> <p>More information on how we created the dataset, the scripts used to collect the data, and some experiments on forecasting the future values of groundwater levels using global and local foresting methods can be found on our <a href="https://github.com/frankl1/piezoforecast">GitHub page</a>.</p>
Datasets of groundwater level and surface water budget in a central Mediterranean site (June 21, 2017 - October 1, 2022)
<p>The datasets contain data of groundwater levels and surface water budget measured in the Salento University Campus ‘Ecotekne’, in Lecce province, Italy (40°20’ N, 18°06’ E) between June 2017 and October 2022. The groundwater data are obtained from two historic wells (FW and BW) hand dug in the Miocene karst Aquifer of Central-Eastern Salento. They are close (few hundreds of meters) to the micrometeorological station of the CNR-ISAC (National Research Council Institute for Atmospheric Science and Climate), that provided the surface water budget data. </p> <p> </p>
InTheMED WP2 Data Archive - Groundwater Level Annual Time Series
<p>The data archive InTheMED_WP2_DS_GWLevelAnnualTimeSeries is part of Task 2.2 “Review and collect the available groundwater quantity and quality data sets in the MED region” and contains the groundwater level time series in the InTheMED study countries,<br> Greece, Portugal, Spain, Tunisia, Turkey, Italy, and also France.</p>
Dataset of relative seismic velocity variations (dv/v) of R66E3 Raspberry Shake and groundwater level variations of BSS002NNZL borehole from 2022/04/28 to 2025/02/04
<p>Dataset of relative seismic velocity variations (dv/v) of R66E3 Raspberry Shake and groundwater level variations of BSS002NNZL borehole from 2022/04/28 to 2025/02/04.</p> <p>A Raspberry Shake RS3D, a three-components geophone (station R66E3 and network code AM) with a natural frequency of 4.5 Hz (electronically extended to 0.5 Hz), is installed in the technical room located 8 m from the BSS002NNZL borehole (a groundwater monitoring borehole), in the town of La Trinité, Martinique. </p> <p>Seismic recordings for station R66E3 (network AM: <a href="https://urldefense.com/v3/__https:/doi.org/10.7914/SN/AM__;!!KbSiYrE!iv8kuFqjRdPI_Ko8AW4XCYuOXVn1VnpNP__Nya_VHhUPUgY40Hpa99szk_9JYls8gw61SbHCjstW1a3C0w$">https://doi.org/10.7914/SN/AM</a>) are collected from the Raspberry Shake data center (<a href="https://urldefense.com/v3/__https:/data.raspberryshake.org/fdsnws/__;!!KbSiYrE!iv8kuFqjRdPI_Ko8AW4XCYuOXVn1VnpNP__Nya_VHhUPUgY40Hpa99szk_9JYls8gw61SbHCjsumhGvdYA$">https://data.raspberryshake.org/fdsnws/</a>). The raw continuous seismic recordings and relative velocity variations are processed by using MATLAB (<a href="https://urldefense.com/v3/__https:/mathworks.com__;!!KbSiYrE!iv8kuFqjRdPI_Ko8AW4XCYuOXVn1VnpNP__Nya_VHhUPUgY40Hpa99szk_9JYls8gw61SbHCjss0LIo2Pw$">https://mathworks.com</a>).</p> <p>This dataset contains the resulting 2-3 Hz frequency range relative velocity variations data. </p> <p>The dataset also contains daily mean groundwater level data (in altitude and pressure) of BSS002NNZL borehole. The borehole is equipped with a PARATRONIC SNP pressure sensor with data recording every minutes. The probe resolution is ±1 mm.</p> <p>Rainfall and air temperature are available close to the site thanks to the French climatic network operated by Météo-France (<a href="https://meteo.data.gouv.fr/">meteo.data.gouv.fr</a>). Daily rainfall (from Morne des Esses station) and daily air temperature data (from Spoutourne station) are also provided in the dataset.</p>
The mean annual groundwater-level trends observed by 452 monitoring wells in the North China Plain during 2003-2016
<p>The mean annual groundwater-level (GWL) trends observed by 452 monitoring wells (341 unconfined and 111 confined) in the North China Plain (NCP) during 2003-2016. The monthly GWL data were obtained from the Chinese groundwater management authority and the groundwater yearbooks. The wells were relatively evenly distributed in NCP region and each well follows a quality control with at least 60% of temporal coverage of the study period having GWL data records.</p>
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