This document discusses the need to establish a long-term lake-level monitoring network in Wisconsin to evaluate trends in lake levels over time. It proposes monitoring 10-15 lakes across the state, focusing on seepage lakes that are most responsive to climate changes. Volunteers will take weekly water level readings, while scientists measure levels several times per year and establish permanent monitoring stations on some lakes. The network will provide baseline data on lake levels and help understand how different lake systems respond to changes.
The importance of groundwater surface water interaction - a case study on Rio...The Texas Network, LLC
Presented by Ronald T. Green, Ph.D., P.G., F. Paul Bertetti, P.G., and Marques Miller
at the Texas Water Conservation Association Conference in The Woodlands, Texas - March 2014
The importance of groundwater surface water interaction - a case study on Rio...The Texas Network, LLC
Presented by Ronald T. Green, Ph.D., P.G., F. Paul Bertetti, P.G., and Marques Miller
at the Texas Water Conservation Association Conference in The Woodlands, Texas - March 2014
Presented by Vladimir Smakhtin at the Ministry of Water Resources, New Delhi, India, November 4, 2014.
The flows of India’s rivers are increasingly being modified by dams and weirs and abstractions for agriculture and urban use. These interventions have caused significant alteration of flow regimes mainly by reducing total flow and affecting its variability and seasonality. An Environmental Flow (EF) is the water regime provided within a river, wetland or coastal zone to maintain ecosystems and their benefits. Environmental Flows describe the quantity, quality and timing of water flows required to sustain freshwater and estuarine ecosystems and the human livelihoods and well-being that depend on these ecosystems. This presentation looks at how the EF approach has been tested in India and describes a project to apply EF methodology to the upper Ganga.
The Vietnam National Mekong Committee conducted a Mekong Dam Study, the results of which were presented at the Greater Mekong Forum on Water, Food and Energy in Phnom Penh on Oct. 21, 2015. This presentation overviews their Fisheries Impact Assessment.
The Vietnam National Mekong Committee conducted a Mekong Dam Study, the results of which were presented at the Greater Mekong Forum on Water, Food and Energy in Phnom Penh on Oct. 21, 2015. This is part one of their overview presentation.
The Vietnam National Mekong Committee conducted a Mekong Dam Study, the results of which were presented at the Greater Mekong Forum on Water, Food and Energy in Phnom Penh on Oct. 21, 2015. This presentation overviews their Modelling for the study.
Presentation given during the USGS/IAEA/IW:LEARN groundwater learning exchange in the US April 14-26, 2007.
IAEA/GEF IW Learn/USGS Exchange April 16, 2007 Reston, VA
Kevin Dennehy
GROUND-WATER RESOURCES PROGRAM http://water.usgs.gov/ogw/gwrp/
This work has sought to answer how global environmental change affects the concentration of nutrients in Mediterranean rivers. By means of a modeling effort using data collected by water agencies, this work has contributed to the knowledge of the relevant factors that drive nutrient dynamics in Mediterranean rivers, and how these change in time and space. Furthermore, it has clearly shown the potential modeling and time-series analysis offer to river scientists and managers.
Presented by Vladimir Smakhtin at the Ministry of Water Resources, New Delhi, India, November 4, 2014.
The flows of India’s rivers are increasingly being modified by dams and weirs and abstractions for agriculture and urban use. These interventions have caused significant alteration of flow regimes mainly by reducing total flow and affecting its variability and seasonality. An Environmental Flow (EF) is the water regime provided within a river, wetland or coastal zone to maintain ecosystems and their benefits. Environmental Flows describe the quantity, quality and timing of water flows required to sustain freshwater and estuarine ecosystems and the human livelihoods and well-being that depend on these ecosystems. This presentation looks at how the EF approach has been tested in India and describes a project to apply EF methodology to the upper Ganga.
The Vietnam National Mekong Committee conducted a Mekong Dam Study, the results of which were presented at the Greater Mekong Forum on Water, Food and Energy in Phnom Penh on Oct. 21, 2015. This presentation overviews their Fisheries Impact Assessment.
The Vietnam National Mekong Committee conducted a Mekong Dam Study, the results of which were presented at the Greater Mekong Forum on Water, Food and Energy in Phnom Penh on Oct. 21, 2015. This is part one of their overview presentation.
The Vietnam National Mekong Committee conducted a Mekong Dam Study, the results of which were presented at the Greater Mekong Forum on Water, Food and Energy in Phnom Penh on Oct. 21, 2015. This presentation overviews their Modelling for the study.
Presentation given during the USGS/IAEA/IW:LEARN groundwater learning exchange in the US April 14-26, 2007.
IAEA/GEF IW Learn/USGS Exchange April 16, 2007 Reston, VA
Kevin Dennehy
GROUND-WATER RESOURCES PROGRAM http://water.usgs.gov/ogw/gwrp/
This work has sought to answer how global environmental change affects the concentration of nutrients in Mediterranean rivers. By means of a modeling effort using data collected by water agencies, this work has contributed to the knowledge of the relevant factors that drive nutrient dynamics in Mediterranean rivers, and how these change in time and space. Furthermore, it has clearly shown the potential modeling and time-series analysis offer to river scientists and managers.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Presentation given during the USGS/IAEA/IW:LEARN groundwater learning exchange in the US April 14-26, 2007.
IAEA/GEF IW Learn/USGS Exchange April 16, 2007 Reston, VA
Kevin Dennehy
GROUND-WATER RESOURCES PROGRAM http://water.usgs.gov/ogw/gwrp/
North Carolina watersheds and river basinsKella Randolph
A river basin is the land that water flows across or under on its way to a river. It is the drainage area of a river. As a bathtub catches all the water that falls within its sides, a river basin sends all the water falling on the surrounding land into a central river and out to an estuary or the sea.
Saltwater is desalinated to produce water suitable for human consumption or irrigation. The by-product of the desalination process is brine. Desalination is used on many seagoing ships and submarines. Most of the modern interest in desalination is focused on cost-effective provision of fresh water for human use. Along with recycled wastewater, it is one of the few rainfall-independent water sources.
II WORKSHOP INTERNACIONAL: GESTÃO SUSTENTÁVEL DE RECURSOS HÍDRICOS NA AGRICULTURA IRRIGADA:
Pesquisa, Políticas Públicas, Extensão Rural e Participação dos Agricultores do Nebraska, USA e do Oeste da Bahia, Brasil
AUDITÓRIO AIBA - BARREIRAS, BA
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
1. A Long- term Lake- Level Monitoring Network for Wisconsin
Lake water-level fluctuations are important to lake and water managers, lakeshore property
owners, developers, and lake users. Lake levels change from year to year, and extreme high
or low levels can present problems by restricting access to water and hampering navigation,
flooding lakeshore property and damaging shorelines and structures, and changing near-shore
vegetation. To respond appropriately, we need to understand why and how lake levels are
changing. Change can occur at various scales of time and space. Weather cycles or climate
change occur over large areas and longer periods of time, which can be summarized at a state
or regional level but vary according to geology, topography, type of water body, and human
use (Wisconsin Academy of Sciences, 2003).
Lakes in Wisconsin may be classified into three general hydrologic/topographic categories:
groundwater flow-through lakes, surface-water drainage lakes, and surface-water flow-
through lakes (House, 1985; Novitzki and Devaul, 1978)). Groundwater flow-through lakes
(also called Seepage Lakes; WDNR, 2001) have no perennial inlets or outlets, and sources of
water are primarily groundwater and direct precipitation. Surface-water drainage lakes (also
called groundwater discharge or ‘Spring Lakes; WDNR, 2001) have a perennial outlet and
small or no inflow streams, and sources of water are also primarily groundwater and direct
precipitation. Because they have an outlet, lake level fluctuations are not as large as those of
seepage lakes. Surface-water flow-through lakes (also termed ‘Drainage Lakes; WDNR,
2001) have perennial inflow and outflow streams, where the source of water is primarily
from surface inflow but groundwater inflow and precipitation may also contribute some to
inflow.
Problem
There is no consistent long-term lake-level monitoring network in Wisconsin to evaluate
climatic effects. Seepage lakes exhibit large fluctuations in stage because water-level
extremes are caused by the cumulative effect of climatic factors over years or tens of years.
These factors make seepage lakes ideal for lake water level monitoring. On the other hand,
water levels in spring lakes and drainage lakes are highly influence by the elevation of the
particular outlet stream. The need for a coordinated lake-level monitoring network was
recognized by the Wisconsin Academy of Sciences (2003, p. 55).
Objectives
• Establish a long-term lake-level monitoring network to evaluate trends in various regions
of the state. Emphasis will be on relatively natural seepage lakes, which are most
responsive and can give indications of regional changes in climate and hydrology.
• Establish baseline conditions for environmental studies and comparison with short-term
results.
• Provide information to increase the understanding of different lake hydrologic systems
and how they affect lake water levels.
• Provide a framework and protocols for facilitating lake water level monitoring by citizen
volunteers through the Citizen Lake Monitoring Network (CLMN) program.
2. Approach
Establish a long-term monitoring network of selected index seepage lakes located in major
regions of the Wisconsin that reflect climate variations and provide indications of climatic
change. Data from other lakes that may be experiencing unusually high or low water levels
may be compared with data from these index lakes to discern if high or low water levels are
caused by natural or by human activity in the vicinity of the lake.
A core of approximately 10 lakes will be chosen from a list of seepage lakes relatively
unaffected by human manipulation (table 1). Many of these lakes are proposed because they
were monitored in the past and have relatively long periods of record. Additional secondary
criteria, such as a previous hydrologic study, water quality data, and active volunteer
involvement, among other criteria, may be considered during the USGS and WDNR joint
selection process in early 2010. Several drainage lakes (Winnebago, Mendota, Monona,
Koshkonong, table 2) are currently being monitored and have long records of continuous data
that can supplement this core of long-term index lakes. Other lakes may be added to or
supplement this long-term monitoring network after its establishment such as: lakes that are
targeted for monitoring in areas of intensive groundwater development (e.g. Middle
Genesee), in other problem or special interest areas (e.g. Shell Lake, Devil’s Lake), or
shorter-term monitoring needed by lake districts and associations for management purposes.
Moreover, it is hoped that this long-term lake-level monitoring network will provide a
framework and protocols for guiding the CLMN program in monitoring water levels in
additional lakes throughout the state.
All lake monitoring sites that are part of this long-term monitoring network will be
referenced to a surveyed datum twice each year by USGS staff. Water levels for these lakes
will be read during open water by a local observer at about a weekly interval. USGS
personnel will measure stages 2-4 times annually on an opportunistic basis when they are
working near the vicinity of the lake. All lake level observations will be uploaded to the
USGS website for public access. In addition, a method will be developed to link this
information between the USGS and DNR websites. As a future option, a subset of the lakes
could be monitored with continuous recorders and the real-time data presented on the USGS
web site to provide access to current conditions.
The long-term network will also provide the following benefits to any citizen lake water level
monitoring program:
• Establish a set of consistently monitored and quality controlled lake water levels,
for which the data will be archived and served to the public on the USGS website
where other relevant water data are available to the public for comparison.
• Serve as an index to evaluate data gaps and possible datum conflicts, and identify
abnormal or unanticipated water level fluctuations in adjacent lakes with limited
monitoring.
• Provide a dataset for evaluating causes of changes and trends in a region and
provide context for evaluating and understanding local perturbations or trends in
water levels.
• Establish protocols that can be mirrored by the CLMN program for use with
additional lakes throughout the state.
3. Relevance
An important part of the USGS mission is to provide scientific information to manage the
water resources of the Nation. To effectively assess the Nation's surface-water and
groundwater resources, the USGS operates streamgaging stations, monitors lakes and
reservoirs, and water levels in wells, using standardized methods. Data from these stations
are maintained in a national data base. Surface-water data are needed to develop information
about flow and stage that can be used by a variety of individuals and agencies for the
planning and management of diverse water-resources projects and programs including flood
warning; flood assessment; lake and reservoir operations; evaluating the effects of changing
land use; and detecting long-term changes in climate. The data are critical to local, state, and
regional water managers for broad-based planning and managing of water-resources projects.
The monitoring stations operated in this State are an integral part of the nationwide surface-
water and groundwater data program. This project addresses the following USGS science
themes and strategic directions: Understanding Ecosystems and Predicting Ecosystem
Change; Climate Variability and Change.
Funding
Funding levels listed below are based on a network of 10 index seepage lakes. Additional
lakes could be added or removed from the network using a similar per-lake funding rate.
Total cost of the basic network (assumes 10 lakes):
Installation (recon trip, supplies, surveying, install staff gage)-- $18,600 (first year only)
Operation (surveying, install/adjust staffs, data processing) -- $16,300 annually (+ inflation)
Cost breakdown: WDNR Year 1: $9,300; Year 2: $8,150; Thereafter: $8,150 + inflation
USGS Year 1: $9,300; Year 2: $8,150; Thereafter: $8,150 + inflation
References Cited
House, L. B., 1985, Stage Fluctuations of Wisconsin Lakes: U. S. Geological Survey and
Wisconsin Geological and Natural History Survey, Information Circular 49, 84 p.
Novitzki, R. P. and Devaul, R. W., 1978, Wisconsin Lake Levels—Their Ups and Downs:
U. S. Geological Survey and Wisconsin Geological and Natural History Survey, unnumbered
report, 11 p.
Wisconsin Academy of Sciences, 2003, Waters of Wisconsin: The Future of Our Aquatic
Ecosystems and Resources: Wisconsin Academy of Sciences, Arts and Letters, Madison,
Wis., 179 p.
Wisconsin Department of Natural Resources, 2001, Wisconsin Lakes: Wisconsin Department
of Natural Resources, Pub-FH-800, 180 p.
4. Table 1. Seepage and Spring lakes in Wisconsin with considerable historical stage data to be
considered for inclusion in the lake water-level monitoring network.
Lake Name County Lake Type Periods of stage records
Anvil Lake Vilas Seepage 1936 - 92, 1998 – present
Bear Lake Portage Seepage 1965, 1970, 1974, 1978, 1979
Beaver Lake (called Waukesha Spring/ 1926 – 73
Spring Lake in WI lake Seepage
book and has
intermittent outlet)
Boot Lake Oconto Seepage 1935 - 65, 1976 – 80
Cedar Lake (has well Manitowoc Seepage 1936 – 1983
water input)
De Neveu Fond du Lac Seepage 1936 – 64
Devils Lake Sauk Seepage 1922 – present
(current diversions)
Emily Lake Portage Seepage 1977-79
Fish Lake Dane Seepage 1966 - 81, 1985 – 2005
(prior diversions)
Fish Lake Waushara nr Seepage 1971 -72, 1978 – 79
Hancock
Irogami Lake Waushara Seepage / 1966 - 77, 1979
nr Wautoma Spring
Little Green Lake Green Lake Seepage 1936 - 64, 1979, 1991 - 2003
(intermittent outlet?)
Long Lake Bayfield Seepage 1964 – 81
Long Lake Waushara Seepage 1977 – 79
Morgan Lake Florence Seepage 1971 - 79, 1986 – 98
North Lake Walworth Seepage 1937 – 81
Pickeral Lake Portage Seepage 1977 – 79
Pine Lake Chippewa Seepage 1936 - 65, 1974 - 79
Pine Lake (has Waukesha Seepage / 1931 – 79
intermittent inlet & Drainage
outlet) (from Beaver
Lake)
Silver Lake Columbia Seepage / 1936 - 65, 1975 - 79
(intermittent outlet?) Spring
Shell Lake (3 billion Washburn Seepage 1936 - 81, 1983 – present by city
gallon diversion in
2003-2005)
Wheeler Lake Oconto Seepage 1936 - 81, 1985 – 91
5. Table 2 Drainage lakes in Wisconsin with considerable historical stage data to be considered
as secondary lakes in the lake water-level network.
Lake Name County Lake Type Periods of stage records
Amnicon Lake Douglas Drainage 1936 - 64, 1970 – 78
Big Lake Vilas Drainage 1937 - 45
Bone Lake Polk Drainage 1935 – 67, 1974 - 80, 1984 - 90
Browns Lake Racine Drained 1936 - 64
Connors Lake Sawyer Drainage 1936 - 65, 1976 - 79
Eagle Lake Racine Drainage 1936 - 64, 1975 - 79
Koshkonong Jefferson Drainage 1987 - present
McKenzie Lake Burnett Drainage 1936 – 78, 1984 - 91, 1997 - 98
Mendota Lake Dane Drainage 1916 - present
Monona Lake Dane Drainage 1915 - present
Rib Lake Taylor Drainage 1936 - 79
Lake Ripley Jefferson Drainage 1936 - 61, 1975 – 79
Turtle Lake Walworth Drained 1936 - 65, 1975 - 79
Winnebago Fond du Lac Drainage 1882 - present
Yellow Lake Burnett Drainage 1941- 64