Using soil survey data as a predictive tool for locating deeply buried archaeological deposits in stream valleys of the Midwest, United States

2018 ◽  
Vol 34 (1) ◽  
pp. 80-99 ◽  
Author(s):  
Anthony L. Layzell ◽  
Rolfe D. Mandel
Keyword(s):  
United States ◽  
Survey Data ◽  
Soil Survey ◽  
Predictive Tool ◽  
Midwest United States

130. Indoor Environmental Quality in Six Commercial Office Buildings in the Midwest United States

1999 ◽  
Author(s):  
S. Reynolds ◽  
P. Subramanian ◽  
G. Breuer ◽  
M. Stein ◽  
D. Black ◽  
...  
Keyword(s):  
United States ◽  
Environmental Quality ◽  
Office Buildings ◽  
Indoor Environmental Quality ◽  
Midwest United States

Predictors of indoor radon levels in the Midwest United States

2021 ◽  
Author(s):  
Aleshka Carrion-Matta ◽  
Joy Lawrence ◽  
Choong-Min Kang ◽  
Jack M. Wolfson ◽  
Longxiang Li ◽  
...  
Keyword(s):  
United States ◽  
Indoor Radon ◽  
Midwest United States

Use of Soil Survey Data for Regional Soil Water Simulation Models

1985 ◽  
Vol 49 (5) ◽  
pp. 1238-1244 ◽  
Author(s):  
J. H. M. Wösten ◽  
J. Bouma ◽  
G. H. Stoffelsen
Keyword(s):  
Soil Water ◽  
Survey Data ◽  
Simulation Models ◽  
Soil Survey ◽  
Water Simulation

Genetic structure and variation in aggressiveness inFusarium virguliformein the Midwest United States

2012 ◽  
Vol 34 (1) ◽  
pp. 83-97 ◽  
Author(s):  
G. Y. C. Mbofung ◽  
T. C. Harrington ◽  
J. T. Steimel ◽  
S. S. Navi ◽  
X. B. Yang ◽  
...  
Keyword(s):  
United States ◽  
Genetic Structure ◽  
Midwest United States

scholarly journals Union Effects on Health Insurance Provision and Coverage in the United States

ILR Review ◽  
2002 ◽  
Vol 55 (4) ◽  
pp. 610-627 ◽  
Author(s):  
Thomas C. Buchmueller ◽  
John Dinardo ◽  
Robert G. Valletta
Keyword(s):  
United States ◽  
Health Insurance ◽  
Survey Data ◽  
Insurance Coverage ◽  
Health Benefits ◽  
Union Density ◽  
Health Insurance Coverage ◽  
The United States ◽  
Health Coverage ◽  
Private Sector Union

During the past two decades, union density has declined in the United States and employer provision of health benefits has changed substantially in extent and form. Using individual survey data spanning the years 1983–97 combined with employer survey data for 1993, the authors update and extend previous analyses of private-sector union effects on employer-provided health benefits. They find that the union effect on health insurance coverage rates has fallen somewhat but remains large, due to an increase over time in the union effect on employee “take-up” of offered insurance, and that declining unionization explains 20–35% of the decline in employee health coverage. The increasing union take-up effect is linked to union effects on employees' direct costs for health insurance and the availability of retiree coverage.

scholarly journals Historical rainfall analysis and climate implications for agriculture in midwest United States

2021 ◽  
Author(s):  
◽  
Jane Marie Niemeyer
Keyword(s):  
United States ◽  
Historical Analysis ◽  
The United States ◽  
United States Department ◽  
Department Of Agriculture ◽  
Rainfall Events ◽  
Rainfall Analysis ◽  
Midwest United States ◽  
Agriculture Soil ◽  
Increasing Precipitation

A historical analysis of precipitation using 72 years of data from Midwest stations focuses on the implications of climate change for agricultural interests. The number of precipitation events, consecutive days of precipitation, and a Fourier transformation on precipitation are included. Although increased precipitation can be of benefit in agricultural production resulting in yield benefits in the Midwest, excessive rainfall events lead to runoff, which does not improve soil water content and plant available water. To examine the beneficial nature of rainfall events in the Midwest, rainfall retention is estimated using the United States Department of Agriculture Soil Conservation Service (USDA-NRCS/SCS) method. This method can be described briefly as an empirical formula estimating the soil's ability to store water and the amount of runoff. It was found that not only has rainfall increased but so have the number of rainfall days and the number of consecutive days of rainfall. To appricultural focus, spring and fall rainfall days were also found to increase implying that farmers may have fewer days to complete fieldwork in the current climate. With increasing precipitation, the potential for runoff also increases, losing valuable water needed for crops and contributing to lost nutrients in the soil.

scholarly journals Geostatistical prediction of clay percentage based on soil survey data

2002 ◽  
Vol 11 (4) ◽  
pp. 381-390
Author(s):  
A. TALKKARI ◽  
L. JAUHIAINEN ◽  
M. YLI-HALLA
Keyword(s):  
Soil Properties ◽  
Spatial Variation ◽  
Survey Data ◽  
Clay Content ◽  
Spherical Model ◽  
Simulation Method ◽  
Soil Survey ◽  
Management Zones ◽  
Additional Information ◽  
Clay Percentage

In precision farming fields may be divided into management zones according to the spatial variation in soil properties. Clay content is an important soil characteristic, because it is associated with other soil properties that are important in management. Soil survey data from 150 sampling sites taken from an area of 218 ha were used to predict the spatial variation of clay percentage geostatistically in an agricultural soil in Jokioinen, Finland. The exponential and spherical models with a nugget component were fitted to the experimental variogram. This indicated that the medium-range pattern could be modelled, but the short-range variation could not, due to sparsity of sample points at short distances. The effect of sampling density on the kriging error was evaluated using the random simulation method. Kriging with a spherical model produced a map with smooth variation in clay percentage. The standard error of kriging estimates decreased only slightly when the density of samples was increased. The predictions were divided into three classes based on the clay percentage. Areas with clay content below 30%, between 30% and 60% and over 60% belong to non-clay, clay and heavy clay zones, respectively. With additional information from the soil samples on the contents of nutrients and organic matter these areas can serve as agricultural management zones.;

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