The Dynamics of a Meandering River

We present a statistical model of a meandering river on an alluvial plane which is motivated by the physical non-linear dynamics of the river channel migration and by describing heterogeneity of the terrain by noise. We study the dynamics analytically and numerically. The motion of the river channel is unstable and we show that by inclusion of the formation of ox-bow lakes, the system may be stabilised. We then calculate the steady state and show that it is in agreement with simulations and measurements of field data.Comment: Revtex, 12 pages, 2 postscript figure

Biology and Management of the American Shad and Status of the Fisheries, Atlantic Coast of the United States, 1960

This paper summarizes current information on the American shad, Alosa sapidissima, and describes the species and its fishery. Emphasis is placed on (1) life history of the fish, (2) condition of the fishery by State and water areas in 1960 compared to 1896 when the last comprehensive description was made, (3) factors responsible for decline in abundance, and (4) management measures. The shad fishery has changed little over the past three-quarters of a century, except in magnitude of yield. Types of shad-fishing gear have remained relatively unchanged, but many improvements have been made in fishing techniques, mostly to achieve economy. In 1896 the estimated catch was more than 50 million pounds. New Jersey ranked first in production with about 14 million pounds, and Virginia second with 11 million pounds. In 1960 the estimated catch was slightly more than 8 million pounds. Maryland ranked first in production with slightly more than 1.5 million pounds, Virginia second with slightly less than 1.4 million pounds, and North Carolina third with about 1.3 million pounds. Biological and economic factors blamed for the decline in shad abundance, such as physical changes in the environment, construction of dams, pollution, over-fishing, and natural cycles of abundance, are discussed. Also discussed are methods used for the rehabilitation and management of the fishery, such as artificial propagation, installation of fish-passage facilities at impoundments, and fishing regulations. With our present knowledge, we can manage individual shad populations; but, we probably cannot restore the shad to its former peak of abundance

Town of Strafford NROC Projects

The three Strafford committees formed through the work with the Natural Resources Outreach Coalition in 2004 and supported by the grant award from the New Hampshire Estuaries Project have succeeded in furthering land protection, water quality protection, and managing growth here in Strafford. The original NROC meetings brought many new volunteer citizens into the process, but even their enthusiasm and willingness to work could not have earned these results without the financial support of the NHEP grant award. Hours of letter writing and personal contact with landowners by the volunteers of the Land Protection Group have raised awareness of the need for land protection and the ways it can be accomplished. The previous experience of the Strafford Conservation Commission in working with a landowner who was donating an easement showed us that the legal and logistical work involved is daunting. The NHEP grant allowed the land Protection Group to contract the professional services of Dan Kern of Bear-Paw Regional Greenways. His work streamlined the process for the landowners, and the Land Protection Group was able to celebrate the closing of two donated easements in 2006. Several other landowners have begun the process to protect their lands, and the Land Protection Group will continue its volunteer work. The Water Quality Group was pleased to have more than a dozen volunteers willing to focus on the need for tributary monitoring as a way to gauge and protect Bow Lake’s water quality. Testing supplies from the grant funds were essential. The sample gathering carried out at two-week intervals took place at a critical time for Bow Lake studies. Both Strafford and Northwood were in a period of legal moratorium on new development, and tributary monitoring at this time provides unique baseline data. It was not only useful in the establishment of Strafford’s Wetlands Overlay District ordinance, but will be used in future Bow Lake studies. After the Managed Growth Committee spent its time discovering gaps between the goals of the 2002 Strafford Master Plan and the present Strafford ordinances, Strafford Regional Planning Commission members helped with research for ordinances that had worked in other towns. The grant funds allowed the Committee to keep the public involved in the process and aware of the slate of proposed new ordinances that were coming up on the 2006 ballot. The blanket mailing to every Strafford address and the public meeting that followed are largely responsible for the successful passage of three new growth control ordinances. The Committee continued its work and has new measures to present to the town in 2007. The impetus and organization from NROC, and the financial support from NHEP have been a great gift to the Town of Strafford. Our thanks will be evident in the continued work and progress we make in protecting our land and water and the very nature of our town

Aggregated Deep Local Features for Remote Sensing Image Retrieval

Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing Imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task. In this paper, we present an image retrieval pipeline that uses attentive, local convolutional features and aggregates them using the Vector of Locally Aggregated Descriptors (VLAD) to produce a global descriptor. We study various system parameters such as the multiplicative and additive attention mechanisms and descriptor dimensionality. We propose a query expansion method that requires no external inputs. Experiments demonstrate that even without training, the local convolutional features and global representation outperform other systems. After system tuning, we can achieve state-of-the-art or competitive results. Furthermore, we observe that our query expansion method increases overall system performance by about 3%, using only the top-three retrieved images. Finally, we show how dimensionality reduction produces compact descriptors with increased retrieval performance and fast retrieval computation times, e.g. 50% faster than the current systems.Comment: Published in Remote Sensing. The first two authors have equal contributio

Poverty alleviation among fishermen within the floodplains of Kaduna River: implication for introducing commercial fish farming at village level in Doko local government area of Niger State, Nigeria

A diagnostic survey was conducted among the fishermen in six selected villages in Doko Local Government Area of Niger State. One hundred and fifty fishermen were randomly selected and interviewed to find out whether or not they had interest in commercial fish farming aimed at improving their livelihood. The dwindling fish catches in the natural flood plain ponds and Ex-bow Lakes continue to have a serious negative effect on the socio-economic well being of the village communities in question. A break on natural regular annual flooding of the plains had resulted into very low natural fish recruitment. Data analysis using simple descriptive statistics revealed that land tenure system, educational status, inadequate infrastructural facilities, religious taboos, existing fish species among others were found to be favourable indices for commercial fish farming. However, serious conflicts among the fishermen concerning the ownership status of these natural fish ponds are found to be major obstacles to commercial fish farming despite that the traditional ownership of the ponds were vested in the lands of individuals and village communities. Extensive fish farming and small-scale fish farming in the ponds and Ex-bow Lake with improved management practices are considered to be profitable venture. Despite the fact that fish seeds supply and extension effort are still inadequate, the fish farmers have indicated willingness to adopt commercial fish farming in the Ex-bow Lakes and flood plains in order to restore abundant fish production thereby providing for their food security and also increasing the daily incom

Stewardship Plan Isinglass River Conservation Reserve, Strafford, NH

In addition to the significant frontage on the Isinglass River, the Hanson Lot supports myriad wetlands – vernal pools, beaver flowages, forested swamps, meadow marshes, and scrub-shrub wetlands. These are embedded within a hemlock – oak – beech - pine forest that was heavily logged in 1998. A plan to build a large 58- to 70-lot residential subdivision on the property was averted by the acquisition of the Hanson Lot as permanent conservation land. The Bedford property is also mostly wooded; the forest was carefully managed by previous owners and therefore retains a mix of tree species and ages. Together the properties are embedded within a 1,800-acre block of undeveloped lands that offers habitat for wide-ranging wildlife, protects water quality, and provides unique recreational experiences. A woods road runs through both properties, used by snowmobilers, hikers, mountain bikers, and horseback riders. The river corridor is a popular fishing destination

The Stover Lake Site (41BW8) on the lower Sulphur River, Bowie County, Texas

The Stover Lake site (41BW8) is an ancestral Caddo cemetery and habitation site on a natural alluvial rise in the Sulphur River floodplain, about 1.6 km east of the Lake Wright Patman dam. In 1961-1962, several collectors excavated at least 19 Caddo burials at the site and also gathered a collection of sherds from habitation contexts. Notes on the burials and their funerary offerings were provided by the collectors to the Texas Archeological Research Laboratory at The University of Texas at Austin (TARL), and 390 ceramic sherds and one stone gorget from non-burial contexts were donated to TARL by one of the collectors, Janson L. McVay