Water Quality Content and More | Locus Technologies

How to Prepare for EPA’s Latest UCMR 5 Guidelines

April 2, 2021/by Locus Product Team

Attention all water providers: the EPA’s UCMR 5 list includes 30 contaminants (29 PFAS and lithium) that both small and large water systems have to test for and report. Can your current environmental solution handle it?

Locus EIM environmental software can handle new chemicals and analyses seamlessly. Both the standard Locus EIM configuration and the Locus EIM Water configuration (specially tailored to water utilities) are built with ever-changing regulations in mind.

We’ve put together some helpful background and tips for water providers preparing for UCMR 5 monitoring.

What water providers need to know

The fifth and latest list (UCMR 5) was published on March 11, 2021, and includes 30 new chemical contaminants that must be monitored between 2023 and 2025 using specified analytical methods.
SDWA now requires that UCMR include all large PWSs (serving >10,000 people), all PWSs serving between 3,300 and 10,000 people, and a representative sample of PWSs serving fewer than 3,300 people.
Large systems must pay for their own testing, and US EPA will pay for analytical costs for small systems.
Labs must receive EPA UCMR approval to conduct analyses on UCMR 5 contaminants.

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What’s the UCMR and why are some contaminants unregulated?

In 1996, Congress amended the Safe Drinking Water Act with the Unregulated Contaminant Monitoring Rule (UCMR). Under this new rule, US EPA can require water providers to monitor and collect data for contaminants that may be in drinking water but don’t have any health-based standards set (yet) under the SDWA.

More than 150,000 public water systems are subject to the SDWA regulations. US EPA, states, tribes, water systems, and the public all work together to protect the water supply from an ever-growing list of contaminants.

However, under the UCMR, US EPA is restricted to issuing a new list every five years of no more than 30 unregulated contaminants to be monitored by water providers.

This helps reduce the burden on water providers, since monitoring and testing for the existing long list of regulated contaminants already requires a significant investment of time and resources.

Throughout the course of this monitoring, US EPA can determine whether the contaminants need to be officially enforced— but this would require regulatory action, routed through the normal legislative process.

Tips for managing UCMR in

DO use EIM’s Sample Planning module to set your sample collection schedule ahead of time, as requirements vary and are on specific schedules
DO take advantage of EIM’s sample program features to track and manage UCMR data, or consider using a dedicated location group to track results, keeping them separate and easy to find for CCR reporting.
DON’T worry about adding in new analytical parameters in advance. With EIM’s EDD loader, you can automatically add them when the data arrive from the laboratory.

Contact your Locus Account Manager for help setting up your EIM database in advance of your sampling schedule, and we’ll make sure you’re equipped for UCMR 5!

Not yet a customer? Send us a quick note to schedule a call or a demo to find out how Locus software can completely streamline your water sampling and reporting.

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Top 10 Enhancements to Locus Environmental Software in 2020

January 8, 2021/by Locus Product Team

Let’s look back on the most exciting new features and changes made in EIM, Locus’ environmental data management software, during 2020!

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1. Expanded EIM API

Locus expanded the EIM application programming interface (API) to support running any EIM Expert Query. Using a drag and drop interface, an EIM user can create an Expert Query to construct a custom SQL query that returns data from any EIM data table. The user can then call the Expert Query through the API from a web browser or any application that can consume a REST API. The API returns the results in JSON format for download or use in another program. EIM power users will find the expanded API extremely useful for generating custom data reports and for bringing EIM data into other applications.[/sc_icon_with_text]

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2. Enhanced EIM Search Bar Functionality

Locus enhanced the usefulness of the EIM search box located at the top right of EIM. A user can now search for a location, field sample, or parameter, and choose from quick links showing any found data records plus related field measurements, groundwater levels, or analytical results. The search box also supports searches across EIM help files. These improvements, along with the existing ability to search for EIM menu items or functions, greatly increase the search bar’s usefulness and make it much easier for users to find what they need. In 2021, Locus plans on further expanding the search bar to allow for generating charts or maps for entered locations or parameters.[/sc_icon_with_text]

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3. Multisite Support for EIM GIS+

The EIM GIS+ package brings the power of geographical information systems (GIS) to EIM. In 2020, Locus added multisite support for the GIS+. A user can generate a map showing locations and related results for more than one EIM site at a time. This GIS+ improvement supports cross-site queries and maps, which help greatly with analysis across a portfolio of sites in EIM.[/sc_icon_with_text]

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4. Support for Sample Planning Notifications

Locus rolled a new EIM feature in 2020 to support automated email notifications for sample planning events. Users can subscribe to notifications for unreported analysis groups, parameters, or samples; late and upcoming samples; and compliance samples at risk of being late. Each notification can be tailored for specific plans, events, and tasks, and are set to run for specific time window. With these new notification types, users gain more control over their sample planning and are better notified about potential issues. The new sample planning notifications are available in Water EIM but can be deployed to other customer EIM instances on request.[/sc_icon_with_text]

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5. Continued Water EIM Reporting Support

EIM is the world’s leading water quality management software used since 1999 by many Fortune 500 companies, water utilities, and the US Government. Locus continues to support water utility customers in EIM through multiple updates done to EIM reporting and analysis. From enhanced support for chlorine field data, to incorporating the latest reporting requirements for the Consumer Confidence Report, Locus continues to expand Water EIM functionality while accounting for variable practices that exist among water utility operators.[/sc_icon_with_text]

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6. Improved Analytical Views

Locus continues to upgrade and improve the EIM interface and user experience. In 2020, Locus overhauled the Analytical Views pages in EIM, which support data exports for analytical results as well as laboratory QC samples and results. Multiple EIM menu items were combined into one page that supports all analytical data views. Users are directed through a series of filter selections that culminate in a grid of results. The new page improves usability and provides one centralized place for these data reports.[/sc_icon_with_text]

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7. Enhanced FTP EDD Loader Abilities

One of the more powerful modules in EIM is the FTP EDD loader, which lets laboratory users upload multiple analytical EDD files for different sites to a Locus FTP server for batch processing. Lab users do not have to login to EIM to upload each EDD individually. In 2020, Locus augmented this function to support non-analytical EDDs and to accept EDDs from non-lab users. With these changes, any EIM user can upload to the FTP site any number of EDD files in any format for multiple sites. Users may still need to login to EIM to resolve any EDD errors. Interested EIM users should contact Locus to get the needed FTP site credentials.[/sc_icon_with_text]

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8. Expanded DMR Support

Locus continues to enhance the Discharge Monitoring Report (DMR) module in EIM. In 2020, Locus implemented calculations needed to handle reporting of divalent metals. Locus also added the Florida DEP ezDMR format. Locus continues to add more formats so customers can meet their reporting requirements.[/sc_icon_with_text]

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9. Improved Parameter Management

Locus added two new features in EIM to improve support for managing analytical parameters. First, EIM now allows for storing parameter names in the local language and using these translated names in EIM Enhanced Formatted Reports. This function helps non-English customers create reports customized for local users. Second, EIM can handle alternate parameter codes. These ‘aliases’ for the primary parameter code, used in tracking reports and in EDD uploads, ensure that labs are not flagged or penalized for using a parameter code that is synonymous with the expected EIM parameter code.[/sc_icon_with_text]

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10. Improved Unit Conversions

Locus enhanced the unit conversion functions in EIM in 2020; these functions are used to convert laboratory analytical results to a consistent set of reporting units. EIM now allows for conversion factors that are parameter specific. Second, EIM now lets users define molecular weight multipliers for use in unit conversions that require molecular weight calculations. Both these changes give users more control and transparency over unit conversions in EIM.[/sc_icon_with_text]

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Stay in Compliance With Smart Sample Planning and Management Tools

June 19, 2020/by Locus Product Team

Imagine the time savings and the simplicity of having your regulatory requirements all lined out for the year without having to worry about missing required samples. For water utilities, this is especially valuable given the strict schedules and public health implications of missing sampling events. Locus sample planning streamlines repetitive sampling, such as required samples for drinking water or monitoring wells. Any sampling events can be planned and reused repeatedly, even with tweaks to the schedule for the samples to be collected. We’ve outlined some key features of Locus sample planning in this infographic.

Contact us to see Sample Planning in action

Top 10 Enhancements to Locus Environmental Software in 2019

December 31, 2019/by Dr. Todd Pierce

Let’s look back on the most exciting new features and changes made in EIM, Locus’ environmental data management software, during 2019!

1. Migration to AWS Cloud

In August, Locus migrated EIM into the Amazon Web Services (AWS) cloud. EIM already had superior security, reliability, and performance in the Locus Cloud. The move to AWS improves on those metrics and allows Locus to leverage AWS specific tools that handle big data, blockchain, machine learning, and data analytics. Furthermore, AWS is scalable, which means EIM can better handle demand during peak usage periods. The move to AWS helps ensure that EIM remains the world’s leading water quality management software.

2. SSO Login

EIM now supports Single Sign-On (SSO), allowing users to access EIM using their corporate authentication provider. SSO is a popular security mechanism for many corporations. With SSO, one single login allows access to multiple applications, which simplifies username and password management and reduces the number of potential targets for malicious hacking of user credentials. Using SSO with EIM requires a one-time configuration to allow EIM to communicate with a customer’s SSO provider.

3. GIS+ Data Callouts

The Locus GIS+ solution now supports creating data callouts, which are location-specific crosstab reports listing analytical, groundwater, or field readings. A user first creates a data callout template using a drag-and-drop interface in the EIM enhanced formatted reports module. The template can include rules to control data formatting (for example, action limit exceedances can be shown in red text). When the user runs the template for a specific set of locations, EIM displays the callouts in the GIS+ as a set of draggable boxes. The user can finalize the callouts in the GIS+ print view and then send the resulting map to a printer or export the map to a PDF file.

4. EIM One

For customers who don’t require the full EIM package, Locus now offers EIM One, which gives the ability to customize EIM functionality. Every EIM One purchase comes with EIM core features: locations and samples; analytical and field results; EDD loading; basic data views; and action limit exceedance reports. The customer can then purchase add-on packages to get just the functionality desired–for example a customer with DMR requirements may purchase the Subsurface and Regulatory Reporting packages. EIM One provides customers with a range of pricing options to get the perfect fit for their data management needs.

5. IoT data support

EIM can now be configured to accept data from IoT (internet of things) streaming devices. Locus must do a one-time connection between EIM and the customer’s IoT streaming application; the customer can then use EIM to define the devices and data fields to capture. EIM can accept data from multiple devices every second. Once the data values are in EIM, they can be exported using the Expert Query tool. From there, values can be shown on the GIS+ map if desired. The GIS+ Time Slider automation feature has also been updated to handle IoT data by allowing the time slider to use hours, minutes, and seconds as the time intervals.

6. CIWQS and NCDEQ exports

EIM currently supports several dozen regulatory agency export formats. In 2019, Locus added two more exports for CIWQS (California Integrated Water Quality System Project) and the NCDEQ (North Carolina Department of Environmental Quality). Locus continues to add more formats so customers can meet their reporting requirements.

7. Improved Water Utility reporting

EIM is the world’s leading water quality management software, and has been used since 1999 by many Fortune 500 companies, water utilities, and the US Government. Locus added two key reports to EIM for Water in 2019 to further support water quality reporting. The first new report returns chlorine averages, ranges, and counts. The second new report supports the US EPA’s Lead and Copper rule and includes a charting option. Locus will continue to enhance EIM for Water by releasing the 2019 updates for the Consumer Confidence Report in January 2020.

8. Improved Non-Analytical Views

Locus continues to upgrade and improve the EIM user interface and user experience. The most noticeable change in 2019 was the overhaul of the Non-analytical Views pages in EIM, which support data exports for locations, samples, field readings, groundwater levels, and subsurface information. Roughly 25 separate pages were combined into one page that supports all these data views. Users are directed through a series of filter selections that culminate in a grid of results. The new page improves usability and provides one centralized place for these data reports. Locus plans to upgrade the Analytical Views in the same way in 2020.

9. EIM search box

To help customers find the correct EIM menu function, Locus added a search box at the top right of EIM. The search box returns any menu items that match the user’s entered search term. In 2020, Locus will expand this search box to return matching help file documents and EDD error help, as well as searches for synonyms of menu items.

10. Historical data reporting in EDD loading

The EIM EDD loader now has a new “View history” option for viewing previously loaded data for the locations and parameters in the EDD. This function lets users put data in the EDD holding table into proper historical context. Users can check for any unexpected increases in parameter concentrations as well as new maximum values for a given location and parameter.

Contact us to see a demo of Locus EIM

EPA to set tougher requirements for lead in water

October 16, 2019/by Neno Duplan

The Environmental Protection Agency (EPA) announced that it would impose stricter requirements on water utilities to manage lead and copper contamination in drinking water supplies. The EPA said that tackling water pollution is a core duty of the agency.

The proposed changes, the first affecting lead level in water since 1991, would also give utilities more time to replace lead pipes in their systems. Some environmental groups are not happy with the proposed rule because the change slows by 20 years the timeline for removing aging lead service pipes that could expose children to lead. Lead is a toxin known to harm developing brains. The rule slows down the removal of pipelines where lead levels exceed 15 μg/L to 33 years from the 13 years in the original law.

The new rule requires water utilities to identify and remove sources of lead when a water sample at faucet exceeds 15 micrograms per liter (μg/L). The EPA said water systems would also have to follow new, improved sampling procedures and adjust sampling sites to better target locations with higher lead levels.

Health advocates estimate that as many as six million or more lead water lines remain underground in U.S. cities and towns. Additional sampling and monitoring can help to identify affected areas, and ensure the quality of drinking water sources.

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Predicting Water Quality with Machine Learning

September 11, 2019/by Locus Product Team

At Locus Technologies, we’re always looking for innovative ways to help water users better utilize their data. One way we can do that is with powerful technologies such as machine learning. Machine learning is a powerful tool which can be very useful when analyzing environmental data, including water quality, and can form a backbone for competent AI systems which help manage and monitor water. When done correctly, it can even predict the quality of a water system going forward in time. Such a versatile method is a huge asset when analyzing data on the quality of water.

To explore machine learning in water a little bit, we are going to use some groundwater data collected from Locus EIM, which can be loaded into Locus Platform with our API. Using this data, which includes various measurements on water quality, such as turbidity, we will build a model to estimate the pH of the water source from various other parameters, to an error of about 1 pH point. For the purpose of this post, we will be building the model in Python, utilizing a Jupyter Notebook environment.

When building a machine learning model, the first thing you need to do is get to know your data a bit. In this case, our EIM water data has 16,114 separate measurements. Plus, each of these measurements has a lot of info, including the Site ID, Location ID, the Field Parameter measured, the Measurement Date and Time, the Field Measurement itself, the Measurement Units, Field Sample ID and Comments, and the Latitude and Longitude. So, we need to do some janitorial work on our data. We can get rid of some columns we don’t need and separate the field measurements based on which specific parameter they measure and the time they were taken. Now, we have a datasheet with the columns Location ID, Year, Measurement Date, Measurement Time, Casing Volume, Dissolved Oxygen, Flow, Oxidation-Reduction Potential, pH, Specific Conductance, Temperature, and Turbidity, where the last eight are the parameters which had been measured. A small section of it is below.

Alright, now our data is better organized, and we can move over to Jupyter Notebook. But we still need to do a bit more maintenance. By looking at the specifics of our data set, we can see one major problem immediately. As shown in the picture below, the Casing Volume parameter has only 6 values. Since so much is missing, this parameter is useless for prediction, and we’ll remove it from the set.

We can check the set and see that some of our measurements have missing data. In fact, 261 of them have no data for pH. To train a model, we need data which has a result for our target, so these rows must be thrown out. Then, our dataset will have a value for pH in every row, but might still have missing values in the other columns. We can deal with these missing values in a number of ways, and it might be worth it to drop columns which are missing too much, like we did with Casing Volume. Luckily, none of our other parameters are, so for this example I filled in empty spaces in the other columns with the average of the other measurements. However, if you do this, it is necessary that you eliminate any major outliers which might skew this average.

Once your data is usable, then it is time to start building a model! You can start off by creating some helpful graphs, such as a correlation matrix, which can show the relationships between parameters.

For this example, we will build our model with the library Keras. Once the features and targets have been chosen, we can construct a model with code such as this:

This code will create a sequential deep learning model with 4 layers. The first three all have 64 nodes, and of them, the initial two use a rectified linear unit activation function, while the third uses a sigmoid activation function. The fourth layer has a single node and serves as the output.

Our model must be trained on the data, which is usually split into training and test sets. In this case, we will put 80% of the data into the training set and 20% into the test set. From the training set, 20% will be used as a validation subset. Then, our model examines the datapoints and the corresponding pH values and develops a solution with a fit. With Keras, you can save a history of the reduction in error throughout the fit for plotting, which can be useful when analyzing results. We can see that for our model, the training error gradually decreases as it learns a relationship between the parameters.

The end result is a trained model which has been tested on the test set and resulted in a certain error. When we ran the code, the test set error value was 1.11. As we are predicting pH, a full point of error could be fairly large, but the precision required of any model will depend on the situation. This error could be improved through modifying the model itself, for example by adjusting the learning rate or restructuring layers.

You can also graph the true target values with the model’s predictions, which can help when analyzing where the model can be improved. In our case, pH values in the middle of the range seem fairly accurate, but towards the higher values they become more unreliable.

So what do we do now that we have this model? In a sense, what is the point of machine learning? Well, one of the major strengths of this technology is the predictive capabilities it has. Say that we later acquire some data on a water source without information on the pH value. As long as the rest of the data is intact, we can predict what that value should be. Machine learning can also be incorporated into examination of things such as time series, to forecast a trend of predictions. Overall, machine learning is a very important part of data analytics and the development of powerful AI systems, and its importance will only increase in the future.

What’s next?

As the technology around machine learning and artificial intelligence evolves, Locus will be working to integrate these tools into our EHS software. More accurate predictions will lead to more insightful data, empowering our customers to make better business decisions.

Contact us today to learn how machine learning and AI can help your EHS program thrive

Is PFAS Contamination in US Drinking Water Supply the Next Crisis?

May 27, 2019/by Neno Duplan

In most cities in the US, drinking water quality conforms with the norms of the Safe Drinking Water Act, which requires EPA to set Maximum Contaminant Levels (MCL) for potential pollutants. Besides, the EPA’s Consumer Confidence Rule (CCR) of 1998 requires most public water suppliers to provide consumer confidence reports, also known as annual water quality reports, to their customers.

PFAS stands for “perfluoroalkyl and polyfluoroalkyl substances,” with the most important thing to know that this large group of synthetic chemicals includes perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS).

Not Regulated by EPA

When it comes to drinking water from the tap in the US, the phrase that fits concerning PFOA and PFOS is “caveat emptor” (buyer beware). The EPA has not regulated these chemicals. There are no federal regulations for PFOA and PFOS in drinking water in the US.

In May 2016, the EPA established a drinking water “health advisory” of 70 parts per trillion (ppt) for the combined concentrations of PFOA and PFOS. While that was a start, there’s a big difference between a health advisory and a regulation that has teeth. Moreover, many scientists consider 70 ppt too high a limit. Reportedly, the EPA is considering turning its 70 ppt health advisory into regulation.

Meanwhile, some states have stepped up to the plate to protect their residents and visitors better. In April 2019, for instance, the New Jersey Department of Environmental Protection (DEP) proposed maximum contamination levels (MCLs) of 14 ppt for PFOA and 13 ppt for PFOS in the state’s drinking water.

As a water consumer, you should be aware of this crisis, as it has the potential to affect both your health and wealth.

What are PFOA and PFOS?

This toxic couple has contaminated the drinking water supply in areas surrounding some industrial sites and military bases. They’re the most studied of the PFAS group because they’re the ones that have been produced in the most significant quantities in the United States, according to the US Environmental Protection Agency (EPA).

PFOA and PFOS, which repel water and stains of various types, have been used as coatings on fabrics and leather and in the production of stain-repellent carpeting and are found in firefighting foams — which have been used extensively on US military bases for decades — among other products. Moreover, some related polyfluoroalkyl compounds can be transformed into these chemicals in the environment, per the National Institutes of Health (NIH), with the Environmental Working Group (EWG) stating that some perfluorinated chemicals not only break down into PFOA in the environment but also can do so in the human body.

While PFOA and PFOS are no longer made in the US, that hardly matters in our global economy. Both are still produced internationally, which means they end up in our country via imports of consumer goods such as carpet, apparel, textiles, and paper and packaging.

Why all the concern about PFOA and PFOS?

These chemicals — dubbed “forever chemicals” because they’re persistent in the environment and the human body — have been linked to cancer, thyroid disease, weakened the immune system and liver function, low infant birth weight, and other health problems, according to many sources.

And this is what the EPA says: “There is evidence that exposure to PFAS can lead to adverse health outcomes in humans. If humans, or animals, ingest PFAS…the PFAS are absorbed and can accumulate in the body. PFAS stay in the human body for long periods. As a result, as people get exposed to PFAS from different sources over time, the level of PFAS in their bodies may increase to the point where they suffer from adverse health effects.”

EHS Digital Transformation: Managing Drinking Water Quality Data and Compliance: CCR in the Cloud

April 19, 2019/by Neno Duplan

In most industrialized cities around the world, drinking water is readily available and safe. Safeguarding groundwater (aquifers), streams, rivers, reservoirs, and lakes is crucial to continue delivering clean water on the tap. So is testing and validated water quality data. There are several aspects of drinking water quality that is of concern in the United States, including Cryptosporidium, disinfection by-products, lead, perchlorates, and pharmaceutical substances.

Recent headlines about water quality issues in cities like Flint, Pittsburgh, Asheville, or Rome and Capetown are motivating consumers to ask more questions about their water quality. Albuquerque’s groundwater is becoming seriously depleted; Fresno’s groundwater is highly susceptible to contamination; In Atlanta, Chicago, Detroit, Houston, Los Angeles, New Orleans, Newark, Philadelphia, Phoenix, San Diego and Washington, D.C., source water is threatened by runoff and industrial or sewage contamination; Water supplies in Baltimore, Fresno, Los Angeles, New Orleans, San Diego, and several other cities are vulnerable to agricultural pollution containing nitrogen, pesticides or sediment.

Locus Technologies IoT Monitoring. Connected at all times.

In most cities in the US, drinking water quality is in conformity with the norms of the Safe Drinking Water Act, which requires EPA to set Maximum Contaminant Levels (MCL) for potential pollutants. In addition, the EPA’s Consumer Confidence Report (CCR) Rule of 1998 requires most public water suppliers to provide consumer confidence reports, also known as annual water quality reports, to their customers. Each year by July 1 anyone connected to a public water system should receive in the mail an annual water quality report that tells where water in a specific locality comes from and what’s in it. Locus EIM automates this reporting and allows utilities to be transparent by publishing CCR online in real time so that consumers have access to their CCR at all times. Consumers can also find out about these local reports on a map provided by EPA.

Utilities must maintain good water quality records and manage them in a secure database with built-in alerts for any outliers so that responsible water quality managers can react quickly when there is exceedance of MCL or another regulatory limit.

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A better way to manage all those ops readings

March 18, 2019/by Locus Product Team

Manage all those ops readings without spreadsheets or paper forms

I am constantly reminded by the number of calls we receive, that no matter how robust a SCADA and HMI system is, there is always a requirement for in-field O&M verification and documentation. It’s almost universal, and spans a myriad of industries, large and small, the need to monitor and record thousands of periodic (daily/per shift/weekly, etc.) routine readings/recordings at a prescribed frequency often recorded on pen to paper field forms. The same processes sometimes use “template” spreadsheets for data collection that are then emailed/placed on shared file servers or otherwise sent to some central location for review and post processing. These processes are antiquated and subject to data quality and record keeping challenges.

It’s time for an upgrade!

Why simple form builders are not a good software solution for ops data

Electronic forms are great for collecting data and almost every business entity has built such forms in spreadsheets, word processing or simple databases to collect the information. In addition, there is a software category of form builders and they can certainly build forms. The question becomes is it a good fit so solve your business process issues?
Most customers have more sophisticated needs than simply collecting information on one or more custom forms – they want to do something with all the information collected far beyond what simple form builder tools can provide. Even customers with sophisticated spreadsheet forms, can’t manage them as they multiply exponentially or their Excel gurus retire.

Here are some examples of where you may require software tools beyond a simple form builder:

Collecting equipment readings on each shift at multiple locations and report the data to centralized management, who review the data, look for trends/ issues.
Verifying and validating data at the point of data entry to eliminate data entry errors.
Automatically visualizing (charts or tables) information in near real time to make operations decisions.
Sharing the information with others.
Scheduling activities related to periodic or infrequent data collection events.
Receiving notifications when actions are due.
Automatically creating regulatory reports in prescribed formats.
Creating complex work flows and audited approval processes.
Creating intelligent forms with calculations based on past data or other criteria

Forms with Benefits

Locus Platform is a configurable platform with standard applications that are easy to configure to customers unique requirements. One of its many strengths is its powerful form builder capable of creating simple or complex forms with simple or sophisticated logic. So for customers looking to move from paper and spreadsheet templates, it’s an excellent option to consider, especially if you require more than a simple “fill in the blank” form for transmittal using mobile devices. Best of all, the data are securely stored in a database structure for reporting and alternative business uses and analyses, compared to the almost impossible management of hundreds of spreadsheets or paper forms.

Here are some examples where sophisticated forms are integrated with a flexible database:

Water Utilities – Tracking chlorination and aerobic digestion processes with daily inputs/outputs with a monthly summary and chart, and tracking well production across well fields.
Water Utilities – Tracking periodic sewer discharges and water samples for permit compliance.
Agriculture – Monitoring food processing equipment for compliance with optimum equipment operating parameters for air permits.
Pharmaceutical/Chemical Manufacturing Facilities- Tracking EHS daily, weekly, monthly, etc. investigations and in-house audits.
Universities – tracking chemical inventories.
Facility Engineering – Documenting O&M activities for groundwater treatment systems.
Electric Utilities – Monitoring water/energy/gas usage from old style meters for sustainability reporting with data entry validation.
Refineries and Terminals – Collecting O&M, usage and wastewater data.

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If you still rely on paper forms and template spreadsheets and are ready to streamline your process and enhance the value of your data, give us a call and we can show you a range of options that will retire the paper forms for good!

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California Lawmakers Approve Ban on Plastic Microbeads to Protect Water

October 5, 2015/by Neno Duplan

California approves AB888, an important bill to prohibit the use of plastic microbeads in personal care products for sale in California by 2020. When someone uses a product – like a face wash, for example – that has microbeads, several things happen. First – they get a unique kind of cleanse in their face that beauty companies suggest they can’t get any other way. Second – the microbeads (tiny pieces of plastic) are washed down the drain with water. These microbeads do not get recycled. They do not get caught in filters before they hit the sea. They pollute.

With two just-released studies showing overwhelming levels of plastic pollution in San Francisco Bay and in Half Moon Bay’s marine life, it’s not an exaggeration to say that this bill will have a huge impact on the health of California’s waterways — and its people. Alaska, Hawaii, Iowa, Minnesota, New York, Vermont, and Washington also tried and failed this year to enact bans on manufacture and sale, while Oregon’s legislature is considering similar bans.

Studies found that San Francisco bay is contaminated with tiny pieces of plastic in greater concentrations than other U.S. bodies of water — at least 3.9 million pieces every day. Many of those plastic particles are tiny microbeads, less than one millimeter in diameter, which can be found in personal care products like shower gels, facial scrubs and toothpaste.

AB888 will ban the beads by 2020. Product manufacturers can use other exfoliants that aren’t as environmentally destructive, and increasingly, states are demanding that they do so. Six other states have already passed legislation that bans or restricts their use.

In addition to the plastic polluting our waterways — there are 471 million microbeads released into the bay every day from wastewater treatment facilities, Gordon said — they also contaminate the fish that we eat. A recent study in the publication Scientific Reports found “anthropogenic debris” in 25 percent of the fish sampled at markets in California.

Tag Archive for: Water Quality