This document models dissolved inorganic nitrogen (DIN) loading from wastewater treatment plants (WWTPs) in Puget Sound under different effluent standards scenarios. It finds that reducing WWTP DIN effluent concentrations from 8 mg/L to below 3 mg/L could decrease nitrogen loading but at increased capital and operating costs of $248-513 million annually. The model has limitations as it does not capture time-varying or three-dimensional aspects but provides a starting point for further modeling of Puget Sound dissolved oxygen levels from human-caused nitrogen sources.
Water is the primary need for all vital life processes. Water itself is an environment, which support large number of organisms. However, it is highly affected due to increased population, industrialization and unplanned urbanization that makes pure water scanty to human beings. Day by day, water bodies are being highly contaminated and are becoming biological deserts. At the same time, the quality of standing water is becoming more and more unfit for humankind due to unwise use, negligence and mismanagement. The quality of life is linked with the quality of environment, hence biological components of fresh water depend solely on better physico-chemical conditions, and therefore, analysis of physic-chemical parameters of water is essential. The present study was conducted at two different stations in the Rangawali Dam, from tribal area. Samples were collected between June 2007 and May 2009 on a monthly basis and evaluated quantitatively. The study carried out for two years included following physicochemical parameters of the water samples. The regional climate at the site of study is distinctly marked in to three seasons, namely Monsoon (June to September) winter (October to January) and summer (February to May). The physico-chemical parameters like Rain Fall , Atmospheric temp, Water temp, pH, Dissolved Oxygen, Dissolved carbon dioxide, Calcium, Magnesium Chlorides and Sulphates were studied on seasonal basis, since the climatic changes seem to influence the ecological factors, and physicochemical parameters.
Water is the primary need for all vital life processes. Water itself is an environment, which support large number of organisms. However, it is highly affected due to increased population, industrialization and unplanned urbanization that makes pure water scanty to human beings. Day by day, water bodies are being highly contaminated and are becoming biological deserts. At the same time, the quality of standing water is becoming more and more unfit for humankind due to unwise use, negligence and mismanagement. The quality of life is linked with the quality of environment, hence biological components of fresh water depend solely on better physico-chemical conditions, and therefore, analysis of physic-chemical parameters of water is essential. The present study was conducted at two different stations in the Rangawali Dam, from tribal area. Samples were collected between June 2007 and May 2009 on a monthly basis and evaluated quantitatively. The study carried out for two years included following physicochemical parameters of the water samples. The regional climate at the site of study is distinctly marked in to three seasons, namely Monsoon (June to September) winter (October to January) and summer (February to May). The physico-chemical parameters like Rain Fall , Atmospheric temp, Water temp, pH, Dissolved Oxygen, Dissolved carbon dioxide, Calcium, Magnesium Chlorides and Sulphates were studied on seasonal basis, since the climatic changes seem to influence the ecological factors, and physicochemical parameters.
From our climate panel in Grand Junction on August 4:
Our Forest, Our Water, Our Land: Local Impacts on Climate Change. Sponsored by Conservation Colorado, Mesa County Library, Math & Science Center
Hazen & Sawyer NYC Green Infrastructure Co-Benefits Study and CalculatorMichael Galvin
Presentation by Hazen & Sawyer at Baltimore Urban Waters Partnership summer 2015 meeting on Green Infrastructure co-benefits study and calculator they developed for NYC Green Infrastructure program led by NYC DEP: http://www.nyc.gov/html/dep/html/stormwater/using_green_infra_to_manage_stormwater.shtml
Modeling of Predictive interaction of Water Parameters in Groundwaterijtsrd
The assessment presented in this article is centred on investigating the interaction of turbidity, total suspended solids and total dissolved solids interaction within the water bearing aquifer of Obite to Oboburu communities of Ogba/ Egbema/ Ndoni local government area of Rivers State, Nigeria. Experimental and modeled turbidity, total suspended solids and total dissolved solids investigated are within recommended standard of World Health Organization revealing the reliability of model equation in predicting groundwater parameters distribution upon influence of time, recharge, flow rate. Ottos C. G | Isaac E. O"Modeling of Predictive interaction of Water Parameters in Groundwater" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11292.pdf http://www.ijtsrd.com/engineering/civil-engineering/11292/modeling-of-predictive-interaction-of-water-parameters-in-groundwater/ottos-c-g
From our climate panel in Grand Junction on August 4:
Our Forest, Our Water, Our Land: Local Impacts on Climate Change. Sponsored by Conservation Colorado, Mesa County Library, Math & Science Center
Hazen & Sawyer NYC Green Infrastructure Co-Benefits Study and CalculatorMichael Galvin
Presentation by Hazen & Sawyer at Baltimore Urban Waters Partnership summer 2015 meeting on Green Infrastructure co-benefits study and calculator they developed for NYC Green Infrastructure program led by NYC DEP: http://www.nyc.gov/html/dep/html/stormwater/using_green_infra_to_manage_stormwater.shtml
Modeling of Predictive interaction of Water Parameters in Groundwaterijtsrd
The assessment presented in this article is centred on investigating the interaction of turbidity, total suspended solids and total dissolved solids interaction within the water bearing aquifer of Obite to Oboburu communities of Ogba/ Egbema/ Ndoni local government area of Rivers State, Nigeria. Experimental and modeled turbidity, total suspended solids and total dissolved solids investigated are within recommended standard of World Health Organization revealing the reliability of model equation in predicting groundwater parameters distribution upon influence of time, recharge, flow rate. Ottos C. G | Isaac E. O"Modeling of Predictive interaction of Water Parameters in Groundwater" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11292.pdf http://www.ijtsrd.com/engineering/civil-engineering/11292/modeling-of-predictive-interaction-of-water-parameters-in-groundwater/ottos-c-g
Quantitative water quality survey of wetland habitats at a contaminated brown...David Bryan
Lancashire Wildlife trust has implemented a number of wetland improvement projects that have the joint purpose of improving the habitability and enhancing flood retention capacity in a heavily degraded post-industrial site. Current monitoring networks are entirely focussed upon ecological parameters and have completely neglected water quality factors. A quantitative water quality survey of the site will be performed to assess the extent to which wetlands can remediate contaminated water and improve overall water quality.
A novel fuzzy rule based system for assessment of ground water potability: A ...IOSR Journals
Abstract: Groundwater is an important water resource for domestic, irrigation, and industrial needs. The most
widely exploited use of this resource is for consumption. Assessment of potability of any ground water samples
is a non-trivial task. A new fuzzy rule based system has been proposed to assess the quality of ground-water
samples collected from the bore-wells across 24 districts of Karnataka (South India). Eight groundwater quality
salts parameters are selected for water quality analysis. A membership function for the fuzzy rule based system
for each salt is developed and the weights for each parameter was calculated using Analytic Hierarchy Process
(AHP) that relies on pair wise comparison. The system showed that out of 24 districts of Karnataka state,
ground water from 51.78% bore-wells was not feasible for consumption.
Keywords: Groundwater quality, Fuzzy rule based system
A B S T R A C T
Urban stormwater lakes in cold regions are ice-covered for substantial parts of the winter. It has long been considered that the ice-covered period is the “dormant season,” during which ecological processes are inactive. However, little is known about this period due to the historical focus on the open-water season. Recent pioneering research on ice-covered natural lakes has suggested that some critical ecological processes play out on the ice. The objective of this study was to investigate the active processes in ice-covered stormwater lakes. Data collected during a two-year field measurement program at a stormwater lake located in Edmonton, Alberta, Canada were analyzed. The lake was covered by ice from November to mid-April of the following year. The mean value of chlorophyll-a during the ice-covered period was 22.09% of the mean value for the open-water season, suggesting that primary productivity under ice can be important. Nitrogen and phosphorus were remarkably higher during the ice-covered period, while dissolved organic carbon showed little seasonal variation. Under ice-covered conditions, the total phosphorus was the major nutrient controlling the ratio of total nitrogen to total phosphorus, and a significant positive correlation existed between total phosphorus and chlorophyll-a when the ratio was smaller than 10. The results provide preliminary evidence of the critical nutrient processes in the Stormwater Lake during the ice-covered period.
Ryan E. Emanuel (Lumbee), Associate Professor, Department of Forestry and Environmental Resources, North Carolina State University - September 2016
UCAR Congressional Briefing
Water influences ecological processes and patterns; ecosystems influence water quantity and quality; ecohydrology focuses on these water-life interactions.
UCAR Congressional Briefing
1. Dissolved Inorganic Nitrogen in
Puget Sound from Human Point
Sources
A modeling approach using the InVEST Marine Water Quality Model
Matthew Ringel
GEOG 562
December 3, 2013
2. 1. Nitrogen and Water Quality
Source: Washington Department of Ecology
• Nitrogen is not inherently harmful
• Not normally regulated by the EPA
• Depending on the physical environment (i.e.
water temperature, sunlight, current, and
phosphorus levels) nitrogen may lead to
eutrophication (low dissolved oxygen)
• Dissolved oxygen level standards have been
established by Washington Department of
Ecology under the Clean Water Act, which sets
the maximum amount of eutrophication allowed
by human activities
3. 2. Sources of Nitrogen
Source: Washington Department of Ecology
4. 3. Human Sources of Nitrogen
Source: Washington Department of Ecology
5. 4. Seasonality of Nitrogen Loading to
Puget Sound
(Mohamedali, Roberts and Sackmann 2011)
6. 5. Research Design
• Focus on nitrogen loading from Waste Water Treatment Plants (WWTPs) in
southern Puget Sound (from Kingston southward, excluding Hood Canal)
• Use the InVEST Marine Water Quality Model to model nitrogen yield from
these WWTPs based on the three scenarios below
Scenarios were chosen based on a Washington Department of Ecology study
evaluating nitrogen and phosphorous removal at WWTPs
Scenario Baseline Objective A Objective B
WWTP Effluent
Nitrogen (TIN)
Derived from
1999-2008
measured output
< 8 mg/L < 3 mg/L
7. 6. Methods – Input Data
Input Source
Area of Interest Chosen based on area of greatest
human impact
Land Polygon Washington GIS Portal
Output Pixel Size in Meters Initially crashed due to memory error.
Used 500 without issue.
Grid Cell Depth 1.0 (Default)
Source Point Centroids Wash. DoE Water Quality Permitting
and Reporting Information System
Source Point Loading Table Based on permit information and
scenarios
Decay Coefficient 0.001 (Default)
Tidal Diffusion Constants 5.0 (Created)
10. 9. Results
“The LOTT facility in
Olympia has the
lowest effluent DIN
concentrations (2.6
mg/L) because of
more stringent
permit requirements
which include a
seasonal limit on
nitrogen loads
discharged into Budd
Inlet in South Puget
Sound.”
(Roberts et al. 2013)
11. 10. Economic Evaluation
Objective A (DIN < 8
mg/L)
Objective B (DIN < 3
mg/L)
Year Round
Annual Statewide Capital
and O&M Costs (Million,
2010)
$421 $513
Monthly Household Sewer
Rate Increase (Weighted
Average)
$16.00 $19.48
Dry Season Only
Annual Statewide Capital
and O&M Costs (Million,
2010)
$248 $300
Monthly Household Sewer
Rate Increase (Weighted
Average)
$9.43 $11.41
(Markus et al. 2011)
12. 11. Simplifying Assumptions
• Model uses 2-D steady state solution
Time varying aspects such as seasonality of WWTP output, tides, and other physical
processes were not captured
2-D nature means nitrogen loading is assumed to be near the surface, but WWTP
outflows are typically submerged near the bottom
• Physical transport (Tidal Diffusion Constant) and Decay Coefficient were
not well understood for the AOI
• WWTP outflow locations were not always known. The actual location of the
outfall was used when known. When not known, the location of the outfall
was abstracted from the location of the WWTP
13. 12. Discussion
• Results show the expected decrease in nitrogen loading from WWTPs due to
investments in nitrogen removal technologies
• Judging the impact of reduced nitrogen concentration is challenging
There are currently no standards for dissolved oxygen in Puget Sound
Amount of eutrophication depends on nitrogen as well as many other biophysical
factors
• This proof-of-concept would be one small piece of a much larger effort to
model dissolved oxygen levels in Puget Sound
14. 13. Future Implementation
Pacific Northwest National Laboratory, Washington State Department of
Ecology, and U.S. Environmental Protection Agency Model under development
(Khangaonkar et al. 2011)
15. 14. References
Albertson, S.L. 1993. Relative Dispersion of Water Masses Near Department of Ecology Long-Term
Monitoring Stations in Puget Sound Model. Study Result, Olympia: Washington Department of
Ecology Environmental Assessment Program.
Geyer, W. Rockwell, and Richard P. Signell. 1992. "A Reassessment of the Role of Tidal Dispersion
in Estuaries and Bays." Estuaries 97-108.
Khangaonkar, Tarang, Brandon Sackmann, Wen Long, Teizen Mohamedali, and Mindy Roberts.
2012. "Simulation of annual biogeochemical cycles of nutrient balance, phytoplankton bloom(s), and
DO in Puget Sound using an unstructured grid model." Ocean Dynamics 1353-1379.
Mohamedali, Teizeen, Mindy Roberts, and Brandon Sackmann. 2011. Puget Sound Dissolved Oxygen
Model: Nutrient Load Summary for 1999-2008. Study, Olympia: Washington State Department of
Ecology Environmental Assessment Program.
Roberts, Mindy, and Teizeen, Sackman, Brandon Mohamedali. 2013. Dissolved Oxygen Assessment
for Puget Sound and the Straights: Impacts of Current and Future Nitrogen Sources and Climate
Change through 2070. External Review Draft, Olympia: Washington State Department of Ecology
Environmental Assessment Program.
Tetra Tech Engineering & Architecture Services. 2011. Technical and Economic Evaluation of
Nitrogen and Phosphorous Removal at Municipal Wastewater Treatment Facilities. Technical Study,
Olympia: Washington State Department of Ecology Water Quality Program.