There are manual measurements of well construction, hydraulic, and chemical data for several wells from the Stringfellow Superfund site, Jurupa Valley, California. The hydraulic data includes hydraulic head. Chemical data includes physiocochemical data. Physiocochemical profiles of the well water column were done under ambient and post pumped conditions. There are also continuous measurements of hydraulic head, and the monitoring of the presence of tracers (rhodamine, fluorescein, and brilliant blue dye).

The heat-pulse flowmeter (HH) used in this testing is a KVA Model 200 system. The instrument computes groundwater vectors from heat arrival and decay in an array of four thermistors that surround a single heat source. An external compass attached to the top of the deployment system is used to orient the flowmeter in the borehole. The HH measured groundwater velocity and flow in the x-y plane. Fuzzy packers were filled with 0.08-inch diameter glass beads for all tests. The HH thermistors were centered over the simulated fracture during measurements. One to four measurements were made with the HH for each simulated flow.

This dataset was generated during the precision testing of three water-quality sondes before picking one to use for field deployment of high frequency ground-water quality monitoring. Precision is important because the authors wanted to try and minimize calibration drift corrections between site visits. A laboratory experiment was conducted for the three sondes to simultaneously measure at hourly intervals with a setup of standard solution circulating past the sondes to simulate field conditions. The electrical conductivity experiment lasted 33 hours, the pH experiment lasted 13 hours, and the DO experiment failed (no data).

SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products: * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.

2022년 월별 나주시 하수도수질검사(나주공공하수처리장, 산포공공하수처리장, 공산공공하수처리장, 빛가람수질복원센터 지방하수도수질검사결과) 결과를 제공합니다.

The Mississippi River Valley alluvial aquifer (“alluvial aquifer”) is one of the most extensively developed aquifers in the United States. The alluvial aquifer is present at the land surface in parts of southeastern Missouri, northeastern Louisiana, western Mississippi, western Tennessee and Kentucky near the Mississippi River, and throughout eastern Arkansas. Historical (1940–2006) and recent (2019–20) aquifer-test datasets were compiled to model transmissivity and hydraulic conductivity of the alluvial aquifer from recent (2018–19) airborne electromagnetic (AEM) survey data. This data release contains the aquifer-test and geophysical data along with computer codes written in Matlab version R2014a syntax used to process the data as described in the corresponding journal article (Ikard and others, 2022). The computer codes were designed to use the datasets contained in comma-separated values (.csv) and ASCII text (.txt) files to: (1) calculate the longitudinal conductance, transverse resistance, and mean electric resistivity frameworks of the alluvial aquifer to depths of 125 meters within the Mississippi Alluvial Plain (MAP) physiographic province from the electric resistivity framework mapped by frequency-domain airborne electromagnetic (AEM) induction surveying along 16,816 line-kilometers (km) of flight path covering 95,000 square-kilometers (km2) of the MAP, (2) correlate the mean electric resistivity at discrete points within the MAP to a database of 160 spatially distributed historical values of alluvial-aquifer transmissivity, quantified by aquifer tests performed in the MAP between 1940 and 2006, and (3) apply user-defined log-linear electric–hydraulic (e–h) relations, defined from the correlation data produced in (2), to 2,364 line-kilometers of separate high-resolution AEM resistivity data covering the 1,000 km2 Shellmound, Mississippi study area (“Shellmound grid”) to calculate alluvial-aquifer transmissivity and hydraulic conductivity where aquifer test data are sparse. The datasets contained herein were extracted from larger parent datasets that are published in a series of U.S. Geological Survey data releases and Scientific Investigation Reports to support the Hydrogeologic Framework component of the MAP Regional Water Availability Study, and citations and web-links to each parent dataset are provided in the metadata record.