Environmental Resource Inventory for Bordentown Township, Burlington County, New Jersey

Total Page:16

File Type:pdf, Size:1020Kb

Environmental Resource Inventory for Bordentown Township, Burlington County, New Jersey Created in 1965, the Delaware Valley Regional Planning Commission (DVRPC) is an interstate, intercounty and intercity agency that provides continuing, comprehensive and coordinated planning to shape a vision for the future growth of the Delaware Valley region. The region includes Bucks, Chester, Delaware, and Montgomery counties, as well as the City of Philadelphia, in Pennsylvania; and Burlington, Camden, Gloucester and Mercer counties in New Jersey. DVRPC provides technical assistance and services; conducts high priority studies that respond to the requests and demands of member state and local governments; fosters cooperation among various constituents to forge a consensus on diverse regional issues; determines and meets the needs of the private sector; and practices public outreach efforts to promote two-way communication and public awareness of regional issues and the Commission. Our logo is adapted from the official DVRPC seal, and is designed as a stylized image of the Delaware Valley. The outer ring symbolizes the region as a whole, while the diagonal bar signifies the Delaware River. The two adjoining crescents represent the Commonwealth of Pennsylvania and the State of New Jersey. DVRPC is funded by a variety of funding sources including federal grants from the U.S. Department of Transportation=s Federal Highway Administration (FHWA) and Federal Transit Administration (FTA), the Pennsylvania and New Jersey departments of transportation, as well as by DVRPC=s state and local member governments. The authors, however, are solely responsible for its findings and conclusions, which may not represent the official views or policies of the funding agencies. TABLE OF CONTENTS ACKNOWLEDGMENTS ............................................................................................................ 6 INTRODUCTION......................................................................................................................... 7 BRIEF TOWNSHIP HISTORY.................................................................................................. 8 BORDENTOWN TOWNSHIP LOCATION, SIZE, AND LAND USE ................................ 13 NATURAL RESOURCES ......................................................................................................... 19 PHYSIOGRAPHY.................................................................................................................... 19 TOPOGRAPHY AND SURFACE LANDSCAPES ................................................................ 19 SOILS ....................................................................................................................................... 20 Soil Series ............................................................................................................................. 21 Keyport Series................................................................................................................... 21 Freehold Series .................................................................................................................21 Urban Land Series ............................................................................................................ 22 Sassafras Series ................................................................................................................22 Woodstown Series ............................................................................................................. 22 Udorthents......................................................................................................................... 22 Adelphia ............................................................................................................................ 23 Holmdel............................................................................................................................. 23 STEEP SLOPES ....................................................................................................................... 28 SURFACE WATER RESOURCES ......................................................................................... 30 Watersheds............................................................................................................................ 30 Crosswicks Creek Watershed............................................................................................ 31 Blacks Creek Watershed ................................................................................................... 32 Crafts Creek Watershed.................................................................................................... 32 Streams.................................................................................................................................. 32 Tidal Water ........................................................................................................................... 36 Lakes..................................................................................................................................... 36 Wetlands ............................................................................................................................... 36 Agricultural Wetlands....................................................................................................... 37 Vernal Pools.......................................................................................................................... 38 Flood Hazard Areas .............................................................................................................. 40 Surface Water Quality........................................................................................................... 42 Bordentown Township Stream Water Quality .................................................................. 43 New Jersey’s Integrated Water Quality Monitoring and Assessment Report................... 43 Causes of Water Quality Impairments.................................................................................. 47 1 Stormwater Runoff and Impervious Cover ....................................................................... 47 Inadequate Stream Buffers................................................................................................ 47 Point Sources of Pollution ................................................................................................ 49 GROUNDWATER ................................................................................................................... 53 Drinking Water Supply......................................................................................................... 53 Potomac-Raritan-Magothy Aquifers (PRM)..................................................................... 53 Geologic Outcrops............................................................................................................ 55 Water Supply Wells .............................................................................................................. 55 Groundwater Recharge ......................................................................................................... 57 BIOLOGICAL RESOURCES................................................................................................... 59 NATURAL VEGETATION..................................................................................................... 59 Wetlands……………………………………………………………………………………60 Upland Forests ...................................................................................................................... 62 Grasslands and Agricultural Lands....................................................................................... 63 LANDSCAPE PROJECT PRIORITY HABITATS................................................................. 65 Landscape Project Data on Wetland Habitat ........................................................................ 66 Landscape Project Data on Upland Forest Habitat............................................................... 66 Landscape Project Data on Grassland Species Habitat......................................................... 67 ANIMAL COMMUNITIES ..................................................................................................... 69 Invertebrates.......................................................................................................................... 69 Vertebrates ............................................................................................................................ 69 Mammals........................................................................................................................... 70 Deer Management in New Jersey ..................................................................................... 70 Fish ................................................................................................................................... 71 Birds.................................................................................................................................. 72 Common Reptiles and Amphibians ................................................................................... 72 Rare and Endangered Vertebrates.................................................................................... 72 NJ HERITAGE DATABASE AND HERITAGE PRIORITY SITES..................................... 74 THE BUILT ENVIRONMENT................................................................................................. 76 POPULATION ........................................................................................................................
Recommended publications
  • Sagemath and Sagemathcloud
    Viviane Pons Ma^ıtrede conf´erence,Universit´eParis-Sud Orsay [email protected] { @PyViv SageMath and SageMathCloud Introduction SageMath SageMath is a free open source mathematics software I Created in 2005 by William Stein. I http://www.sagemath.org/ I Mission: Creating a viable free open source alternative to Magma, Maple, Mathematica and Matlab. Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 2 / 7 SageMath Source and language I the main language of Sage is python (but there are many other source languages: cython, C, C++, fortran) I the source is distributed under the GPL licence. Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 3 / 7 SageMath Sage and libraries One of the original purpose of Sage was to put together the many existent open source mathematics software programs: Atlas, GAP, GMP, Linbox, Maxima, MPFR, PARI/GP, NetworkX, NTL, Numpy/Scipy, Singular, Symmetrica,... Sage is all-inclusive: it installs all those libraries and gives you a common python-based interface to work on them. On top of it is the python / cython Sage library it-self. Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 4 / 7 SageMath Sage and libraries I You can use a library explicitly: sage: n = gap(20062006) sage: type(n) <c l a s s 'sage. interfaces .gap.GapElement'> sage: n.Factors() [ 2, 17, 59, 73, 137 ] I But also, many of Sage computation are done through those libraries without necessarily telling you: sage: G = PermutationGroup([[(1,2,3),(4,5)],[(3,4)]]) sage : G . g a p () Group( [ (3,4), (1,2,3)(4,5) ] ) Viviane Pons (U-PSud) SageMath and SageMathCloud October 19, 2016 5 / 7 SageMath Development model Development model I Sage is developed by researchers for researchers: the original philosophy is to develop what you need for your research and share it with the community.
    [Show full text]
  • WEEK 10: FAREWELL to PYTHON... WELCOME to MAPLE! 1. a Review of PYTHON's Features During the Past Few Weeks, We Have Explored
    WEEK 10: FAREWELL TO PYTHON... WELCOME TO MAPLE! 1. A review of PYTHON’s features During the past few weeks, we have explored the following aspects of PYTHON: • Built-in types: integer, long integer, float, complex, boolean, list, se- quence, string etc. • Operations on built-in types: +, −, ∗, abs, len, append, etc. • Loops: N = 1000 i=1 q = [] while i <= N q.append(i*i) i += 1 • Conditional statements: if x < y: min = x else: min = y • Functions: def fac(n): if n==0 then: return 1 else: return n*fac(n-1) • Modules: math, turtle, etc. • Classes: Rational, Vector, Polynomial, Polygon, etc. With these features, PYTHON is a powerful tool for doing mathematics on a computer. In particular, the use of modules makes it straightforward to add greater functionality, e.g. GL (3D graphics), NumPy (numerical algorithms). 2. What about MAPLE? MAPLE is really designed to be an interactive tool. Nevertheless, it can also be used as a programming language. It has some of the basic facilities available in PYTHON: Loops; conditional statements; functions (in the form of “procedures”); good graphics and some very useful additional modules called “packages”: • Built-in types: long integer, float (arbitrary precision), complex, rational, boolean, array, sequence, string etc. • Operations on built-in types: +, −, ∗, mathematical functions, etc. • Loops: 1 2 WEEK 10: FAREWELL TO PYTHON... WELCOME TO MAPLE! Table 1. Some of the most useful MAPLE packages Name Description Example DEtools Tools for differential equations exactsol(ode,y) linalg Linear Algebra gausselim(A) plots Graphics package polygonplot(p,axes=none) stats Statistics package random[uniform](10) N := 1000 : q := array(1..N) : for i from 1 to N do q[i] := i*i : od : • Conditional statements: if x < y then min := x else min := y fi: • Functions: fac := proc(n) if n=0 then return 1 else return n*fac(n-1) fi : end proc : • Packages: See Table 1.
    [Show full text]
  • Practical Estimation of High Dimensional Stochastic Differential Mixed-Effects Models
    Practical Estimation of High Dimensional Stochastic Differential Mixed-Effects Models Umberto Picchinia,b,∗, Susanne Ditlevsenb aDepartment of Mathematical Sciences, University of Durham, South Road, DH1 3LE Durham, England. Phone: +44 (0)191 334 4164; Fax: +44 (0)191 334 3051 bDepartment of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen, Denmark Abstract Stochastic differential equations (SDEs) are established tools to model physical phenomena whose dynamics are affected by random noise. By estimating parameters of an SDE intrin- sic randomness of a system around its drift can be identified and separated from the drift itself. When it is of interest to model dynamics within a given population, i.e. to model simultaneously the performance of several experiments or subjects, mixed-effects mod- elling allows for the distinction of between and within experiment variability. A framework to model dynamics within a population using SDEs is proposed, representing simultane- ously several sources of variation: variability between experiments using a mixed-effects approach and stochasticity in the individual dynamics using SDEs. These stochastic differ- ential mixed-effects models have applications in e.g. pharmacokinetics/pharmacodynamics and biomedical modelling. A parameter estimation method is proposed and computational guidelines for an efficient implementation are given. Finally the method is evaluated using simulations from standard models like the two-dimensional Ornstein-Uhlenbeck (OU) and the square root models. Keywords: automatic differentiation, closed-form transition density expansion, maximum likelihood estimation, population estimation, stochastic differential equation, Cox-Ingersoll-Ross process arXiv:1004.3871v2 [stat.CO] 3 Oct 2010 1. INTRODUCTION Models defined through stochastic differential equations (SDEs) allow for the represen- tation of random variability in dynamical systems.
    [Show full text]
  • Towards a Fully Automated Extraction and Interpretation of Tabular Data Using Machine Learning
    UPTEC F 19050 Examensarbete 30 hp August 2019 Towards a fully automated extraction and interpretation of tabular data using machine learning Per Hedbrant Per Hedbrant Master Thesis in Engineering Physics Department of Engineering Sciences Uppsala University Sweden Abstract Towards a fully automated extraction and interpretation of tabular data using machine learning Per Hedbrant Teknisk- naturvetenskaplig fakultet UTH-enheten Motivation A challenge for researchers at CBCS is the ability to efficiently manage the Besöksadress: different data formats that frequently are changed. Significant amount of time is Ångströmlaboratoriet Lägerhyddsvägen 1 spent on manual pre-processing, converting from one format to another. There are Hus 4, Plan 0 currently no solutions that uses pattern recognition to locate and automatically recognise data structures in a spreadsheet. Postadress: Box 536 751 21 Uppsala Problem Definition The desired solution is to build a self-learning Software as-a-Service (SaaS) for Telefon: automated recognition and loading of data stored in arbitrary formats. The aim of 018 – 471 30 03 this study is three-folded: A) Investigate if unsupervised machine learning Telefax: methods can be used to label different types of cells in spreadsheets. B) 018 – 471 30 00 Investigate if a hypothesis-generating algorithm can be used to label different types of cells in spreadsheets. C) Advise on choices of architecture and Hemsida: technologies for the SaaS solution. http://www.teknat.uu.se/student Method A pre-processing framework is built that can read and pre-process any type of spreadsheet into a feature matrix. Different datasets are read and clustered. An investigation on the usefulness of reducing the dimensionality is also done.
    [Show full text]
  • An Introduction to Maple
    A little bit of help with Maple School of Mathematics and Applied Statistics University of Wollongong 2008 A little bit of help with Maple Welcome! The aim of this manual is to provide you with a little bit of help with Maple. Inside you will find brief descriptions on a lot of useful commands and packages that are commonly needed when using Maple. Full worked examples are presented to show you how to use the Maple commands, with different options given, where the aim is to teach you Maple by example – not by showing the full technical detail. If you want the full detail, you are encouraged to look at the Maple Help menu. To use this manual, a basic understanding of mathematics and how to use a computer is assumed. While this manual is based on Version 10.01 of Maple on the PC platform on Win- dows XP, most of it should be applicable to other versions, platforms and operating systems. This handbook is built upon the original version of this handbook by Maureen Edwards and Alex Antic. Further information has been gained from the Help menu in Maple itself. If you have any suggestions or comments, please email them to Grant Cox ([email protected]). Table of contents : Index 1/81 Contents 1 Introduction 4 1.1 What is Maple? ................................... 4 1.2 Getting started ................................... 4 1.3 Operators ...................................... 7 1.3.1 The Ditto Operator ............................. 9 1.4 Assign and unassign ................................ 9 1.5 Special constants .................................. 11 1.6 Evaluation ...................................... 11 1.6.1 Digits ...................................
    [Show full text]
  • Sage Tutorial (Pdf)
    Sage Tutorial Release 9.4 The Sage Development Team Aug 24, 2021 CONTENTS 1 Introduction 3 1.1 Installation................................................4 1.2 Ways to Use Sage.............................................4 1.3 Longterm Goals for Sage.........................................5 2 A Guided Tour 7 2.1 Assignment, Equality, and Arithmetic..................................7 2.2 Getting Help...............................................9 2.3 Functions, Indentation, and Counting.................................. 10 2.4 Basic Algebra and Calculus....................................... 14 2.5 Plotting.................................................. 20 2.6 Some Common Issues with Functions.................................. 23 2.7 Basic Rings................................................ 26 2.8 Linear Algebra.............................................. 28 2.9 Polynomials............................................... 32 2.10 Parents, Conversion and Coercion.................................... 36 2.11 Finite Groups, Abelian Groups...................................... 42 2.12 Number Theory............................................. 43 2.13 Some More Advanced Mathematics................................... 46 3 The Interactive Shell 55 3.1 Your Sage Session............................................ 55 3.2 Logging Input and Output........................................ 57 3.3 Paste Ignores Prompts.......................................... 58 3.4 Timing Commands............................................ 58 3.5 Other IPython
    [Show full text]
  • How Maple Compares to Mathematica
    How Maple™ Compares to Mathematica® A Cybernet Group Company How Maple™ Compares to Mathematica® Choosing between Maple™ and Mathematica® ? On the surface, they appear to be very similar products. However, in the pages that follow you’ll see numerous technical comparisons that show that Maple is much easier to use, has superior symbolic technology, and gives you better performance. These product differences are very important, but perhaps just as important are the differences between companies. At Maplesoft™, we believe that given great tools, people can do great things. We see it as our job to give you the best tools possible, by maintaining relationships with the research community, hiring talented people, leveraging the best available technology even if we didn’t write it ourselves, and listening to our customers. Here are some key differences to keep in mind: • Maplesoft has a philosophy of openness and community which permeates everything we do. Unlike Mathematica, Maple’s mathematical engine has always been developed by both talented company employees and by experts in research labs around the world. This collaborative approach allows Maplesoft to offer cutting-edge mathematical algorithms solidly integrated into the most natural user interface available. This openness is also apparent in many other ways, such as an eagerness to form partnerships with other organizations, an adherence to international standards, connectivity to other software tools, and the visibility of the vast majority of Maple’s source code. • Maplesoft offers a solution for all your academic needs, including advanced tools for mathematics, engineering modeling, distance learning, and testing and assessment. By contrast, Wolfram Research has nothing to offer for automated testing and assessment, an area of vital importance to academic life.
    [Show full text]
  • Go Figure with PTC Mathcad 14.0
    36 Design Product News dpncanada.com June/July 2007 Technical Literature CAD Industry Watch Ethernet-compatible ac drive. Baldor has published a 28-page guide to an Ethernet- compatible 3-phase ac drive series for higher Maple 11 math software really adds up power machinery applications. The catalog details the drive’s architecture and introduces the Ethernet Powerlink protocol. By Bill Fane (“New command for baldormotion.com/br1202 Info Card 420 computing hypergeo- metric solutions of a Rapid prototyping. Brochure describes ecause of the limitations of spread- linear difference equa- Dimension 3D printers distributed by BRT sheet programs, software developers tion with hypergeo- Solutions that generate working models B have come up with programs aimed metric coefficients”), from CAD files in ABS plastic. Colors avail- specifically at the mathematical computa- so here are some of the able are white, red, blue, green, gray, yellow tion market. One of the early leaders in this high spots. and red. arena was Maplesoft, and over the years The three main areas brt-solutions.com Info Card 421 they have continued to develop their Maple of interest in Maple 11 product to maintain its position on the lead- are the document inter- Antennas, transformers. Pulse, a Technitrol ing edge. face, the computation Company, has announced the Pulse 2007 engine, and its connec- Product Catalog. The catalog features anten- NASA might have tivity capabilities. nas for consumer and automotive applica- Let’s start with the tions, automotive coils and transformers, plus avoided the Mars interface. The interest- unfiltered connectors for networking and tele- ing one here is self- Maple software can transform dynamic equations communications infrastructure and consumer probe disaster documenting context menus.
    [Show full text]
  • Hamilton Township, New Jersey
    Hamilton Township, New Jersey Hamilton Township turned negative publicity on the township’s approach to managing stormwater to positive action by engaging the Rutgers Cooperative Extension Water Resources Program (RCE). Township staff embraced a new, proactive perspective, RCE has since completed numerous implementation plans, and the community is now interested and engaged in water quality issues. By: Ryan Walker, Natural Lands Trust Background Hamilton Township, located in Mercer County, New Jersey, adjoins Trenton to the east and might be described as a typical Quick Stats suburb, given the development patterns that characterize much of Hamilton Township the township. However, in addition to the suburban landscape, Major adjoining water body: western portions serve as an extension of Trenton’s more urban Delaware River neighborhoods while areas to the south of NJ Route 130 contrast Major streams: Assunpink Creek, Pond with a distinctly rural and agricultural character. Its central location Run, Miry Run, Crosswicks Creek, Doctors between Philadelphia and New York make Hamilton an economic Creek center, with nearly 50,000 jobs in the township as of 2015. It is Population: 89,055 (2015 Five-Year also a transportation hub, with numerous highways crossing the American Community Survey) township, including Interstates 195 and 295, and the New Jersey Turnpike. Land area: 25,733 acres Water area: 870 acres (3.4%) The community is highly populous and is one of the five largest townships in New Jersey, with a population approaching 90,000. While modest population growth continues, it has leveled off sharply since the post-World War II boom. Housing stock reflects an older suburban community largely developed during that time.
    [Show full text]
  • The History of Middlesex County Ended As the County’S Original Settlers Were Permanently Displaced by the European Newcomers
    HISTORY BUFF’S THETHE HITCHHIKER’SHITCHHIKER’S GUIDEGUIDE TOTO MIDDLESEXMIDDLESEX COUNTYCOUNTY “N.E. View of New Brunswick, N.J.” by John W. Barber and Henry Howe, showing the Delaware and Raritan Canal, Raritan River, and railroads in the county seat in 1844. Thomas A. Edison invented the Phonograph at Menlo Park (part of Edison) in 1877. Thomas Edison invented the incandescent Drawing of the Kilmer oak tree by Joan Labun, New Brunswick, 1984. Tree, which light bulb at Menlo Park (part of Edison) in inspired the Joyce Kilmer poem “Trees” was located near the Rutgers Labor Education 1879. Center, just south of Douglass College. Carbon Filament Lamp, November 1879, drawn by Samuel D. Mott MIDDLESEX COUNTY BOARD OF CHOSEN FREEHOLDERS Christopher D. Rafano, Freeholder Director Ronald G. Rios, Deputy Director Carol Barrett Bellante Stephen J. Dalina H. James Polos Charles E. Tomaro Blanquita B. Valenti Compiled and written by: Walter A. De Angelo, Esq. County Administrator (1994-2008) The following individuals contributed to the preparation of this booklet: Clerk of the Board of Chosen Freeholders Margaret E. Pemberton Middlesex County Cultural & Heritage Commission Anna M. Aschkenes, Executive Director Middlesex County Department of Business Development & Education Kathaleen R. Shaw, Department Head Carl W. Spataro, Director Stacey Bersani, Division Head Janet Creighton, Administrative Assistant Middlesex County Office of Information Technology Khalid Anjum, Chief Information Officer Middlesex County Administrator’s Office John A. Pulomena, County Administrator Barbara D. Grover, Business Manager Middlesex County Reprographics Division Mark F. Brennan, Director Janine Sudowsky, Graphic Artist ii TABLE OF CONTENTS INTRODUCTION ........................................................................... Page 1 THE NAME ................................................................................... Page 3 THE LAND ..................................................................................
    [Show full text]
  • North Atlantic Ocean
    210 ¢ U.S. Coast Pilot 3, Chapter 6 26 SEP 2021 75°W 74°30'W Chart Coverage in Coast Pilot 3—Chapter 6 NOAA’s Online Interactive Chart Catalog has complete chart coverage http://www.charts.noaa.gov/InteractiveCatalog/nrnc.shtml Trenton 75°30'W 12314 P ENNSYLV ANIA Philadelphia 40°N 12313 Camden E R I V R E R Wilmington A W A L E D NEW JERSEY 12312 SALEM RIVER CHESAPEAKE & DELAWARE CANAL 39°30'N 12304 12311 Atlantic City MAURICE RIVER DELAWARE BAY 39°N 12214 CAPE MAY INLET DELAWARE 12216 Lewes Cape Henlopen NORTH ATL ANTIC OCEAN INDIAN RIVER INLET 38°30'N 26 SEP 2021 U.S. Coast Pilot 3, Chapter 6 ¢ 211 Delaware Bay (1) This chapter describes Delaware Bay and River and (10) Mileages shown in this chapter, such as Mile 0.9E their navigable tributaries and includes an explanation of and Mile 12W, are the nautical miles above the Delaware the Traffic Separation Scheme at the entrance to the bay. Capes (or “the Capes”), referring to a line from Cape May Major ports covered are Wilmington, Chester, Light to the tip of Cape Henlopen. The letters N, S, E, or Philadelphia, Camden and Trenton, with major facilities W, following the numbers, denote by compass points the at Delaware City, Deepwater Point and Marcus Hook. side of the river where each feature is located. Also described are Christina River, Salem River, and (11) The approaches to Delaware Bay have few off-lying Schuylkill River, the principal tributaries of Delaware dangers. River and other minor waterways, including Mispillion, (12) The 100-fathom curve is 50 to 75 miles off Delaware Maurice and Cohansey Rivers.
    [Show full text]
  • The Trenton Complex
    Transportation Research Record 1033 93 Making the Environmental Process Work: The Trenton Complex THOMAS L. WECK, JOHN A. HOTOPP, A. BROOK CROSSAN, and HOW ARD ZAHN ABSTRACT The Environmental Impact Statement on the Trenton Complex Highway System is a classic example of how, through extensive and meaningful coordination, a highly complex and controversial highway project can move through the process of the National Environmental Policy Act (NEPA) to implementation with the full sup­ port of all review agencies as well as those that issue permits. Throughout the NEPA process, the Trenton Complex received broad-based public support while simultaneously being shadowed by well-defined and intricately interrelated environmental concerns--mainly those related to cultural resources and wetlands. The challenge was to minimize or eliminate these and other environ­ mental problems while simultaneously maintaining public support, keeping construction cost down, minimizing delays, and refraining from creating new environmental problems as a result of resolving existing ones. What finally evolved during the coordination process was an ingenious compromise, carefully integrated with the design efforts, which resulted in substantial cost savings while simultaneously protecting otherwise adversely impacted archaeological resources and wetlands areas. Many review agencies such as the Advisory Council on Historic Preservation have referred to the Trenton complex project as a textbook case of how environmental studies on transportation and other devel­ opment projects should be carried out. This praise illustrates that the team concept used for this project, with all participants pulling together toward a common goal, can succeed even in projects as environmentally challenging as the Trenton Complex. Completion of the final links of the I-195/I-295, NJ Statement (EIS) issued in 1976.
    [Show full text]