Methods. the Residence Times of the Elements Determined by Goldberg
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Residence Time, Chemical and Isotopic Analysis of Nitrate in The
Residence Time, Chemical and Isotopic Analysis of Nitrate in the Groundwater and Surface Water of a Small Agricultural Watershed in the Coastal Plain, Bucks Branch, Sussex County, Delaware John Clune ([email protected]) Judy Denver ([email protected]) Introduction Introduction Problem/Need Resource managers need a practical perspective on travel time of groundwater to streams, detailed understanding of the sources of nitrogen for targeting management efforts and to better quantify water-quality improvements Introduction High TN Bucks Branch has some of the highest measured concentrations of total nitrogen in any stream in the State (Delaware Department of Natural Resources and Environmental Control, 2010) and most of the nitrogen is in the form of nitrate. Introduction Sources The vast majority of nitrogen inputs in this part of Sussex County, Delaware are from manure and fertilizer Purpose/Objectives The purpose of this study was to present (1) estimated residence times of groundwater and (2) and provide a chemical and isotopic analysis of nitrate in the groundwater and surface water of the Bucks Branch watershed Purpose/Objectives The purpose of this study was to present Concentrations of sulfur (1) estimated residence times hexafluoride (SF6), dissolved gases and silica of groundwater and (2) and provide a in groundwater and chemical and isotopic analysis of nitrate surface water to in the groundwater and surface water of determine the apparent the Bucks Branch watershed age of groundwater in the aquifer and to estimate the average residence -
Estimation of Groundwater Mean Residence Time in Unconfined Karst Aquifers Using Recession Curves
A. Kavousi and E. Raeisi – Estimation of groundwater mean residence time in unconfined karst aquifers using recession curves. Journal of Cave and Karst Studies, v. 77, no. 2, p. 108–119. DOI: 10.4311/2014ES0106 ESTIMATION OF GROUNDWATER MEAN RESIDENCE TIME IN UNCONFINED KARST AQUIFERS USING RECESSION CURVES ALIREZA KAVOUSI AND EZZAT RAEISI Dept. of Earth Sciences, College of Sciences, Shiraz University, 71454 Shiraz, Iran, [email protected], [email protected] Abstract: A new parsimonious method is proposed to estimate the mean residence time of groundwater emerging at any specific time during recession periods from karst springs. The method is applicable to unconfined karstic aquifers with no-flow boundaries. The only required data are numerous consecutive spring hydrographs involving a wide range of discharge from high to low flow and the relevant precipitation hyetographs. First, a master recession curve is constructed using the matching-strip method. Then, discharge components corresponding to the individual hydrographs at any desired time are estimated by extrapolation of recession curves based on the master curve. Residence times are also taken from the time elapsed since the events’ centroids. Finally, the mean residence time is calculated by a discharge-weighted average. The proposed method was evaluated for the Sheshpeer Spring in Iran. There are 259 sinkholes in the catchment area of the Sheshpeer unconfined aquifer, and all the boundaries are physically no-flow. The mean residence time calculated by the proposed method was about one year longer than that of uranine dye tracer. The tracer mean time is representative of flowing water between the injection and emergence points, but the mean time by the proposed method is representative of all active circulating water throughout the entire aquifer. -
Absolute Measurement of the Abundance of Atmospheric Carbon Monoxide C
Absolute measurement of the abundance of atmospheric carbon monoxide C. Brenninkmeijer, C. Koeppel, T. Röckmann, D. Scharffe, Maya Bräunlich, Valerie Gros To cite this version: C. Brenninkmeijer, C. Koeppel, T. Röckmann, D. Scharffe, Maya Bräunlich, et al.. Absolute mea- surement of the abundance of atmospheric carbon monoxide. Journal of Geophysical Research: At- mospheres, American Geophysical Union, 2001, 106 (D9), pp.10003-10010. 10.1029/2000JD900342. hal-03117189 HAL Id: hal-03117189 https://hal.archives-ouvertes.fr/hal-03117189 Submitted on 8 Feb 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 106, NO. D9, PAGES 10,003-10,010, MAY 16, 2001 Absolute measurement of the abundance of atmospheric carbon monoxide C. A.M. Brenninkmeijer,C. Koeppel,T. R6ckmann,D. S. Scharffe, Maya Br•iunlich,and Valerie Gros AtmosphericChemistry Division, Max PlanckInstitute for Chemistry,Mainz, Germany Abstract.The main aspects of anabsolute method for measurementof the mixing ratio of atmos- phericcarbon monoxide (CO) are presented. The method is based on cryogenic extraction of CO fromair afteroxidation to CO2followed by accuratevolumetric determination. Gravimetric meas- urementis usedto determinethe quantity of sampleair processed.In routineoperation the overall errorcan be kept below 1%. -
Stocks, Flows, and Residence Times Box Models
Box Models: Stocks, Flows, and Residence Times IPOL 8512 Reservoirs • Natural systems can be characterized by the transport or transformation of matter (e.g. water, gases, nutrients, toxics), energy, and organisms in and out of a reservoir. • Reservoirs can be physical (e.g. a human body, the atmosphere, ocean mixed layer), chemical (different chemical species), or biological (e.g. populations, live biomass, dead organic matter) • Transport/transformation can involve bulk movement of matter, diffusion, convection, conduction, radiation, chemical or nuclear reactions, phase changes, births and deaths, etc. Box Models • We make a simple model of a system by representing the reservoirs with a “box” and the transport/transformation with arrows. • We usually assume the box is well-mixed, and we usually are not concerned with internal details. Stock, S Inflow, Fin Outflow, Fout • Stock = the amount of stuff (matter, energy, electric charge, chemical species, organisms, pollutants, etc.) in the reservoir • Flows = the amount of stuff flowing into and out of the reservoir as a function of time Why Use Box Models? To understand or predict: • Concentrations of pollutants in various environmental reservoirs as a function of time: e.g. water pollution, outdoor/ indoor air pollution • Concentrations of toxic substance in organs after inhalation or ingestion; setting standards for toxic exposure or intake • Population dynamics, predator-prey and food- chain models, fisheries, wildlife management • Biogeochemical cycles and climate dynamics (nutrients, energy, air, trace gases, water) How Box Models Work Basic rule of box models: change in stock over time = inflow – outflow S/t = Fin –Fout Situation 1: Equilibrium Fin = Fout S/t = 0 Situation 2: Non-equilibrium Fin > Fout S/t > 0 F < F S/ t < 0 in out 5 Equilibrium: The Balance • In many problems in environmental science, it is reasonable to start with the assumption that a particular stock is in equilibrium, meaning that the stock does not change over time. -
Effects on Accuracy and Detection Limits
WHITE Sensitivity, Background, Noise, and Calibration in Atomic PAPER Spectroscopy: Effects on Accuracy and Detection Limits Introduction Proper calibration in atomic spectroscopy and an understanding The three most common atomic spectroscopy techniques of uncertainty is fundamental to achieving accurate results. This are atomic absorption (AA) spectroscopy, ICP optical emission paper provides a practical discussion of the effects of noise, error spectroscopy (ICP-OES) and ICP mass spectrometry (ICP-MS). and concentration range of calibration curves on the ability to Of these, ICP-OES and ICP-MS are very linear; that is, a plot determine the concentration of a given element with reasonable of concentration vs. intensity forms a straight line over a accuracy. The determination of lower limits of quantitation and wide range of concentrations (Figure 1). AA is linear over a lower limits of detection will also be discussed. much smaller range and begins to curve downward at higher Results accuracy is highly dependent on blank contamination, concentrations (Figure 2). Linear ranges are well understood, linearity of calibration standards, curve-fitting choices and the and, for AA, a rule of thumb can be applied to estimate the range of concentrations chosen for calibration. Additional factors maximum working range using a non-linear algorithm. include the use of internal standards (and proper selection of This paper will discuss the contributions of sensitivity, internal standards) and instrumental settings. background, noise, calibration range, calibration mathematics This paper is not intended to be a rigorous treatment of statistics and contamination on the ability to achieve best accuracy and in calibration; many references are available for this, such as lowest detection limits. -
Combined Wastestream Formula (CWF)
UnitedStates PermitsDivision and September1985 EnvironmentalProtection IndustrialTechnology Division Agency Washington,DC 20460 Water EPA Guidance Manual Pretreatment for the Use of Production-Based Pretreatment Standards and the Combined Wastestream Formula UNITED STATES ENVIRONMENTAL PROTECTION AGENCY WASHINGTON, D.C. 20460 SEP 19 1985 OFFICEOF WATER MEMORANDUM SUBJECT: Pretreatment Program Guidance FROM: Rebecca W. Hanmer, Director Office of Water Enforcement and Permits (EN-335) James M. Conlon, Acting Director Office of Water Regulations and Standards (WH-551) TO: Users of the Guidance Manual for the Use of Production- Based Categorical Pretreatment Standards and the Combined Wastestream Formula This guidance manual has been developed by EPA to explain how to implement two important elements of the national pretreatment program: categorical standards and the combined wastestream formula. The manual is divided into two sections. The first section explains how to apply production-based categorical standards in a permit, contract, or similar mechanism. The second part explains how to use the combined wastestream formula, providing definitions and examples. The manual is one of a series of guidance documents intended to simplify and improve understanding of various aspects of the pretreatment program. Other documents in this series which have either been recently issued or will be issued in the near future will provide guidance on: 1) Removal Credits 2) Total Toxic Organics (TTO) Monitoring 3) RCRA Notification Requirements 4) Local Limits 5) POTW Interference The need for guidance on the use of categorical standards and the combined wastestream formula was recognized by the Pretreatment Implementation Review Task Force (PIRT). PIRT was set up by the EPA Administrator to make recommendations concerning the problems faced by POTWs, states, and industry in implementing the national pretreatment program. -
Wastewater Residence Time in Sewers
October 1969 Report No. EVE 19-69-7 THE EFFECT AND REGULATION OF WASTEWATER RESIDENCE TIME IN SEWERS David R. O'Toole and Donald Dean Adrian, Project Investigator Partially Funded by Office of Water Resources Research Grant WR-BO 11-MASS and Federal Water Pollution Control Administration Training Grant 5T1-WP-77-04 ENVIRONMENTAL ENGINEERING DEPARTMENT OF CIVIL ENGINEERING UNIVERSITY OF MASSACHUSETTS AMHERST, MASSACHUSETTS TKE EFFECT AND REGULATION OF WASTEWATER RESIDENCE TIME IN SEWERS by ! David R. O'Toole and Donald Dean Adrian, Project Investigator October 1969 THE AUTHORS w David Richard O'Toole received his B.S. degree in 0 Civil Engineering from the University of Massachusetts in June 1968, After a summer working for a consulting engineering firm he enroiled as a graduate student in the Environmental Engineering Program, Department of Civil Engineering, University of Massachusetts. Upon receipt of his Master's degree in September 1969, he was "commissioned by the U. S. Public Health Service to work as an Assistant Sanitary Engineer with the Indian Health Service in Portland, Oregon. Donald Dean Adrian received his B.A. degree in Liberal Arts and his B.S. degree in Civil Engineering from the University of Notre Dame in 1957 and 1958, respectively. He enrolled in the graduate program in Sanitary Engineering at the University of California at Berkeley and was awarded the M.S. degree in 1959. The Ph.D. was obtained from Stanford University in Civil Engineering in 1964. Experience has been obtained with the California Health Department, Vanderbilt University and the University of Massachusetts. He is presently an Associate Professor of Civil Engineering. -
3.1 Polarization Behavior of Active Passive Metals and Alloys Glossary
3.1 Polarization Behavior of Active Passive Metals and Alloys John R. Scully, Katie Lutton Center for Electrochemical Science and Engineering Department of Materials Science and Engineering University of Virginia, Charlottesville, VA, United States Glossary Symbol Explanation 퐸푃 Primary passivation potential 퐸푃2 Primary activation potential 푖푐푟푖푡 Critical current density 퐸푡푟푎푛푠 Transpassive potential 퐸푃1 First primary passivation potential 표 퐸푃 Hypothetical standard primary passivation potential based on a half-cell reaction 휏푃 Critical time for passivation 푆퐻퐸 Standard hydrogen electrode 푖푝푎푠푠 Passive current density 푖lim Limiting current density for a mass transport limited cathodic reaction Abstract The objective of this chapter is to summarize the relationships between electrochemical potential and current density for typical transition metals such as Fe, Cr, and Ni. Key parameters such as the active passive transition, primary and secondary passivation potentials, critical anodic current density, passive current density, and transpassive region are presented, defined, and interpreted to explain typical E-log(i) diagrams and polarization curves. Consideration is given to the polarization behavior of a passivating electrode resulting from both the anodic and cathodic partial currents using mixed potential theory. The impact of the reversible electrode potential and polarizability of an oxidizing reducible species on the observed E-log(i) polarization behavior of such passivated materials is discussed. The kinetics of the passive film -
14C Mean Residence Time and Its Relationship with Thermal Stability
Geoderma 308 (2017) 1–8 Contents lists available at ScienceDirect Geoderma journal homepage: www.elsevier.com/locate/geoderma 14C mean residence time and its relationship with thermal stability and MARK molecular composition of soil organic matter: A case study of deciduous and coniferous forest types ⁎ Tsutomu Ohnoa, , Katherine A. Heckmanb, Alain F. Plantec, Ivan J. Fernandezd, Thomas B. Parre a School of Food and Agriculture, University of Maine, Orono, ME 04469, USA b USDA Forest Service, Northern Research Station, Houghton, MI 49931, USA c Department of Earth and Environmental Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA d School of Forest Resources, University of Maine, Orono, ME 04469, USA e Department of Biology, University of Oklahoma, Norman, OK 73019, USA ARTICLE INFO ABSTRACT Keywords: Soil organic matter (SOM) plays a critical role in the global terrestrial carbon cycle, and a better understanding Soil organic carbon of soil processes involved in SOM stability is essential to determine how projected climate-driven changes in soil Carbon sequestration processes will influence carbon dynamics. We used 14C signature, analytical thermal analysis, and ultrahigh Soil minerals resolution mass spectrometry to determine the influence of deciduous and coniferous forest vegetation type and Radiocarbon dating soil depth on the stability of soil C. The 14C mean residence time (MRT) of the illuvial B horizon soils averaged Thermal analysis 1350 years for the deciduous soils and 795 years for the coniferous soils. The difference of MRT between mineral Ultrahigh resolution mass spectrometry soils by forest type may be due to the saturation of extractable Fe and Al minerals binding sites by SOM in the coniferous soils, allowing greater transport of modern SOM from the O horizon down the soil profile, as com- pared with the non-saturated minerals in the deciduous soil profile. -
The Activated Sludge Process Part II Revised October 2014
Wastewater Treatment Plant Operator Certification Training Module 16: The Activated Sludge Process Part II Revised October 2014 This course includes content developed by the Pennsylvania Department of Environmental Protection (Pa. DEP) in cooperation with the following contractors, subcontractors, or grantees: The Pennsylvania State Association of Township Supervisors (PSATS) Gannett Fleming, Inc. Dering Consulting Group Penn State Harrisburg Environmental Training Center MODULE 16: THE ACTIVATED SLUDGE PROCESS – PART II Topical Outline Unit 1 – Process Control Strategies I. Key Monitoring Locations A. Plant Influent B. Primary Clarifier Effluent C. Aeration Tank D. Secondary Clarifier E. Internal Plant Recycles F. Plant Effluent II. Key Process Control Parameters A. Mean Cell Residence Time (MCRT) B. Food/Microorganism Ratio (F/M Ratio) C. Sludge Volume Index (SVI) D. Specific Oxygen Uptake Rate (SOUR) E. Sludge Wasting III. Daily Process Control Tasks A. Record Keeping B. Review Log Book C. Review Lab Data Unit 2 – Typical Operational Problems I. Process Operational Problems A. Plant Changes B. Sludge Bulking C. Septic Sludge D. Rising Sludge E. Foaming/Frothing F. Toxic Substances II. Process Troubleshooting Guide Bureau of Safe Drinking Water, Department of Environmental Protection i Wastewater Treatment Plant Operator Training MODULE 16: THE ACTIVATED SLUDGE PROCESS – PART II III. Equipment Operational Problems and Maintenance A. Surface Aerators B. Air Filters C. Blowers D. Air Distribution System E. Air Header/Diffusers F. Motors G. Gear Reducers Unit 3 – Microbiology of the Activated Sludge Process I. Why is Microbiology Important in Activated Sludge? A. Activated Sludge is a Biological Process B. Tools for Process Control II. Microorganisms in Activated Sludge A. -
Cropland Has Higher Soil Carbon Residence Time Than Grassland In
Soil & Tillage Research 174 (2017) 130–138 Contents lists available at ScienceDirect Soil & Tillage Research journal homepage: www.elsevier.com/locate/still Cropland has higher soil carbon residence time than grassland in the MARK subsurface layer on the Loess Plateau, China ⁎ Ding Guoa, Jing Wanga, Hua Fua, , Haiyan Wena, Yiqi Luob a State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China b Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA ARTICLE INFO ABSTRACT Keywords: Carbon (C) residence time is one of the key factors that determine the capacity of C storage and the potential C Carbon mineralization loss in soil, but it has not been well quantified. Assessing C residence time is crucial for an improved under- Inverse analysis standing of terrestrial C dynamics. To investigate the responses of C residence time to land use, soil samples were Residence time collected from millet cropland (MC) and enclosed grassland (EG) on the Loess Platea, China. The soil samples were incubated at 25 °C for 182 days. A Bayesian inverse analysis was applied to evaluate the residence times of different C fractions based on the information contained in the time-series data from laboratory incubation. Our results showed that soil organic carbon (SOC) mineralization rates and the amount of SOC mineralized sig- nificantly was increased after the conversion of cropland into grassland due to the increase in labile C fraction. At the end of the incubation study, 2.1%–6.8% of the initial SOC was released. -
Evaluation of the Influence of Individual Clay Minerals on Biochar
Article Evaluation of the Influence of Individual Clay Minerals on Biochar Carbon Mineralization in Soils Qingzhong Zhang 1, Claudia Keitel 2 and Balwant Singh 2,* 1 Key Laboratory of Agricultural Environment, Ministry of Agriculture, Sino-Australian Joint Laboratory for Sustainable Agro-Ecosystems, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China; [email protected] 2 School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney NSW 2006, Australia; [email protected] * Correspondence: [email protected]; Tel.: +61-2-8627-1140 Received: 26 August 2019; Accepted: 28 November 2019; Published: 3 December 2019 Abstract: Although association between mineral and biochar carbon have been speculated in some studies, still there is no direct evidence for the influence of individual clay minerals on the mineralization of biochar carbon in soils. To address this, we conducted an incubation study using monomineralic soils constituted by separately mixing pure minerals, i.e., smectite, kaolinite, and goethite, with a sandy soil. Switch grass biochar (400 ◦C) was added to the artificial soils and samples were incubated for 90 days at 20 ◦C in the laboratory. The CO2-C mineralized from the control, and biochar amended soil was captured in NaOH traps and the proportion of C mineralized from biochar was determined using δ13C isotopic analysis. The clay minerals significantly decreased the cumulative total carbon mineralized during the incubation period, whereas biochar had no effect on this. The least amount of total C was mineralized in the presence of goethite and biochar amended soil, where only 0.6% of the native soil organic carbon (SOC) (compared to 4.14% in control) and 2.9% of the biochar-C was mineralized during the 90 days incubation period.