The history of Wakefield, in the county of York. The rectory manor, with biographical and other notices of some of the persons connected therewith.

Mode of access: Internet.

History of the Twenty-fourth Michigan of the Iron brigade,

Mode of access: Internet.

Beverlac; or, The antiquities and history of the town of Beverley, in the county of York,

Mode of access: Internet.

History and statistics of Brown County, Kansas, from its earliest settlement to the present time, embracing incidents and hardships of pioneer life, the rise and progress made in twenty-two years, location, resources, fertility of its soil, etc., etc.,

Mode of access: Internet.

Sussex archaeological collections relating to the history and antiquities of the county /

Imprint varies.

The history and topographical survey of the county of Kent. Containing the antient and present state of it, civil and ecclesiastical;

Vol. 13 is a made-up volume containing maps and folded plans.

Portfolio of fragments relative to the history and antiquities, topography and genealogies of the county palatine and duchy of Lancaster ...

"Substantially a reprint of the second edition of 1824."

History of the dental college of the University of Michigan /

Endnote on p. 25-26 (reference from p. 3): description of the bill to appropriate state funds for the establishment of the dental college at the University of Michigan.

History of the World War due date card

This is a due date card for the book titled History of the World War, with stamped dates from 1939-1941.

Program of a Commemorative session of Lincoln County Council, November 19, 1969.

The County of Lincoln dates back to 1798, when the first Lincoln County was formed. It was comprised of the townships of Clinton, Grimsby, Saltfleet, Barton, Ancaster, Glanford, Binbrook, Gainsborough, Caistor, Newark (Niagara), Grantham, Louth, Stamford, Thorold, Pelham, Bertie, Willoughby, Crowland, Humberstone and Wainfleet. The County boundaries were revised over the years, and the formation of Welland County in 1856 left only 7 townships in Lincoln County (Niagara, Grantham, Louth, Clinton, Gainsborough, Caistor and Grimsby). A County Council was also established at this time, which consisted of a Clerk, Warden, and a representative from each township. In 1862, the County Seat was moved from Niagara-on-the-Lake to St. Catharines. In 1970, Lincoln and Welland Counties were amalgamated to form the Regional Municipality of Niagara.

Fishing Creek Presbyterian Church of Chester County Records

The Fishing Creek Presbyterian Church of Chester County Records include an historical statement (1839) on its origin and development by one of its pastors Rev. John B. Davies, and copies of entries for various sessions containing information on how the church handled misconduct of its members.

A VEGETATION RECONSTRUCTION OF UNION COUNTY, PENNSYLVANIA DURING THE EARLY HISTORICAL PERIOD (1755-1855)

This thesis assesses relationships between vegetation and topography and the impact of human tree-cutting on the vegetation of Union County during the early historical era (1755-1855). I use early warrant maps and forestry maps from the Pennsylvania historical archives and a warrantee map from the Union County courthouse depicting the distribution of witness trees and non-tree surveyed markers (posts and stones) in early European settlement land surveys to reconstruct the vegetation and compare vegetation by broad scale (mountains and valleys) and local scale (topographic classes with mountains and valleys) topography. I calculated marker density based on 2 km x 2 km grid cells to assess tree-cutting impacts. Valleys were mostly forests dominated by white oak (Quercus alba) with abundant hickory (Carya spp.), pine (Pinus spp.), and black oak (Quercus velutina), while pine dominated what were mostly pine-oak forests in the mountains. Within the valleys, pine was strongly associated with hilltops, eastern hemlock (Tsuga canadensis) was abundant on north slopes, hickory was associated with south slopes, and riparian zones had high frequencies of ash (Fraxinus spp.) and hickory. In the mountains, white oak was infrequent on south slopes, chestnut (Castanea dentata) was more abundant on south slopes and ridgetops than north slopes and mountain coves, and white oak and maple (Acer spp.) were common in riparian zones. Marker density analysis suggests that trees were still common over most of the landscape by 1855. The findings suggest there were large differences in vegetation between valleys and mountains due in part to differences in elevation, and vegetation differed more by topographic classes in the valleys than in the mountains. Possible areas of tree-cutting were evenly distributed by topographic classes, suggesting Europeans settlers were clearing land and harvesting timber in most areas of Union County.

Analysis of spring break-up and its effects on a biomass feedstock supply chain in northern Michigan

Demand for bio-fuels is expected to increase, due to rising prices of fossil fuels and concerns over greenhouse gas emissions and energy security. The overall cost of biomass energy generation is primarily related to biomass harvesting activity, transportation, and storage. With a commercial-scale cellulosic ethanol processing facility in Kinross Township of Chippewa County, Michigan about to be built, models including a simulation model and an optimization model have been developed to provide decision support for the facility. Both models track cost, emissions and energy consumption. While the optimization model provides guidance for a long-term strategic plan, the simulation model aims to present detailed output for specified operational scenarios over an annual period. Most importantly, the simulation model considers the uncertainty of spring break-up timing, i.e., seasonal road restrictions. Spring break-up timing is important because it will impact the feasibility of harvesting activity and the time duration of transportation restrictions, which significantly changes the availability of feedstock for the processing facility. This thesis focuses on the statistical model of spring break-up used in the simulation model. Spring break-up timing depends on various factors, including temperature, road conditions and soil type, as well as individual decision making processes at the county level. The spring break-up model, based on the historical spring break-up data from 27 counties over the period of 2002-2010, starts by specifying the probability distribution of a particular county’s spring break-up start day and end day, and then relates the spring break-up timing of the other counties in the harvesting zone to the first county. In order to estimate the dependence relationship between counties, regression analyses, including standard linear regression and reduced major axis regression, are conducted. Using realizations (scenarios) of spring break-up generated by the statistical spring breakup model, the simulation model is able to probabilistically evaluate different harvesting and transportation plans to help the bio-fuel facility select the most effective strategy. For early spring break-up, which usually indicates a longer than average break-up period, more log storage is required, total cost increases, and the probability of plant closure increases. The risk of plant closure may be partially offset through increased use of rail transportation, which is not subject to spring break-up restrictions. However, rail availability and rail yard storage may then become limiting factors in the supply chain. Rail use will impact total cost, energy consumption, system-wide CO2 emissions, and the reliability of providing feedstock to the bio-fuel processing facility.