Comment pouvez-vous utiliser les données de surveillance environnementale pour déterminer la dose optimale de produits chimiques de traitement des déchets ?

For better operation of any ETP stp plant the monitoring of inlet parameters like ph o&g tss cod bod hardness ammonia is very important . Every parameter result will impacts the operational challenges. According to bod cod load u can maintain the disolve oxygen and organic road recirculating load . Your mlss mlvss svi monitoring help you to maintain the aeration system in healthy condition

As an Environmental Engineer so firstly we should know the legal Limits of the parameters for example pH in water should be 6-9 With experience we can monitor the parameters physically for example foaming, smells in water, these signs shows the disturbance in water, by checking physically we can take the action quickly.

I would like to add these points as well: * Conduct a thorough risk assessment to identify potential risks associated with different chemical dosages. * Evaluate the energy consumption associated with the treatment process. Optimize the chemical dosage not only for treatment efficiency but also for minimizing energy use, contributing to cost savings & environmental sustainability * Conduct a life cycle assessment to evaluate the environmental impact of the entire waste treatment process * Assess vulnerabilities & implement measures to adapt to changing climate conditions * Consider the principles of environmental justice * Involve the community & stakeholders in the optimization process

Environmental monitoring data plays a crucial role in determining the optimal dose of waste treatment chemicals by providing insights into several key factors: Pollutant Levels, monitoring data helps identify the initial concentration of pollutants in the waste stream wiil help us to find a way to devolop a efficient treatment and by analyzing data before and after treatment we can improve the Treatment Efficiency, in order to reduce, per example, the envornmental impacts (since the tratment itself can also causes environmental impact, is it cruacila to monitoring every single process). Montorinf data is really crucial to comply with regulatory standards.

Dosage is of course determined through monitoring data but sampling procedure, frequency, analytical method and data interpretation are equally important to optimize chemical dosing rate. Chemical dosing can tune pH, COD and BOD in a broad sense hence data monitoring will first categorize wastewater into organic or inorganic and then a treatment flow is derived. Optimizing chemical dosing rate is an iterative process which depends on variation in input quality

Standardized methods is very key here especially for different zones. Obtain the best sampling method in your areas or countries.Look at the sample size if it going to be local regional or national.

Os métodos de amostragem adequados garantem que as amostras coletadas sejam representativas dos resíduos. Os métodos de amostragem inadequados podem levar à coleta de amostras que não representam a composição e a concentração dos poluentes nos resíduos. Ao escolher os métodos de amostragem adequados, os profissionais de tratamento de resíduos podem garantir que os dados coletados sejam precisos e confiáveis. Isso é essencial para determinar a dose ideal de produto químico para tratar os resíduos de forma eficaz e segura. Considere a composição e a concentração dos poluentes nos resíduos. Considere o estado físico dos resíduos. Considere o tamanho e a forma dos resíduos. Considere o local de armazenamento dos resíduos.

Sampling methods is very important for getting a true /reliable result. By taking precautions during sampling, we can get a real DO, BOD.

With the proper design, the use of sensors reduces several of the main issues involved with sampling. Because ensuring the samples accurately represent the actual conditions found in the tested system (independently of what the system is), real time or almost real time analysis is the technology that will allow us to move forward compared with any other conventional sampling method. Depending on the size of the project, using satellite images for estimating the impact of effluents being released back to natural streams is also desirable to ensure the low environmental footprint of the wastewater treatment operation.

Environmental monitoring is essential for determining the optimal dose of chemicals in waste treatment. It allows us to understand the physical environment, identify threats, evaluate the effectiveness of health controls, and adjust the dose of chemicals accordingly. It provides valuable data for making informed decisions and requires constant adjustment based on the collected data.

Os método de análise são muito importantes para que os resultados sejam os mais precisos. Assim a escolha de um laboratório de referência e certificado (capacidade técnica) certamente trará mais confiança no resultado, como também trará mais certeza para a fase de análise de dados.

This is also related to standard that can be employed and the best analytical methods.Ensuring that all equipment have undergone quality assurances to avoid errors.

Following with my previous comments, one of the major current drawbacks for sensors is the lack of availability of these devices for all the pollutants of concern and also lack of knowledge on their reliability, sensitivity and reproducibility. Generating and characterizing new sensors without these weakens is, I believe, a very significant knowledge gap worth exploration. Additionally, the challenge posed by emerging contaminants is highly interesting and calls for development of nanotechnology applied to sensors that can be able to measure traces of these pollutants with great accuracy and specificity. Very little is known and a lot of research is required to fill this gap.

It is no secret that the optimal analytical method is the one that can establish a rational and principled balance between accuracy, speed, and cost. Of course, some types of pollutants require multiple, expensive, and complex analyses due to their sensitivity or potential risks. Finally, with the help of these analyses, the review of previous studies, and valid statistical data, it should be possible to reduce measurement-related errors as much as possible and reach reliable results.

Here its cases by cases basis and depends on the process being monitored. Again an SME is required to identify sampling requirements in terms parameters and frequency.

Uma opção vantajosa de análise é a Análise Multicritério. Este tipo de análise auxilia na tomada de decisão em uma situação com vário critérios de diferentes pesos. Em uma pesquisa que realizei para avaliar a escolha entre três coagulantes químicos para o tratamento de efluente doméstico de um parque tecnológico, utilizei o Método AHP (Analytic Hierarchy Process) de análise multicritério para tomada de decisão. Para tanto defini os critérios (preço, geração de lodo e etc) e respectivos pesos em conjunto com a diretoria do Parque para uma avaliação abrangente.

Three distinct phases are required. Each of them requires resources. Warning: a very large number of data will have to be considered. 1. collection of data day by day and their correct pigeonholing 2. archiving done in such a way as to make historical data easy to consult 3. data analysis with human or artificial intelligence. Software capable of carrying out the three phases with minimal use of human resources would be an excellent niche product. At the moment I have no news of its existence on the market (Picus is a good product but it must evolve with AI applied to statistical tools)

Currently, it is crucial to implement mathematical, statistical, software, and modeling techniques to tackle environmental problems. These methods not only accelerate the process and enhance the accuracy of the outcomes but also reduce the expenses and field and laboratory operations. It is vital to select the appropriate and most efficient technique due to the multiple methods and tools available. Furthermore, artificial intelligence and its immense potential to improve results should also be taken into consideration.

A new interesting approach is using machine learning to help with data analysis and identify relationships. Machine learning uses statistical analysis and can help speed up analysis as normally, humans can only work with a small number of variables to conduct analysis. But by using statistical techniques coupled with machine learning techniques we can now work with up to 50 variables at a time (or more depending on computing power available). This is a very powerful technique to help with data analysis and a game changer for engineers.

This is important as the analysis of the results gotten from the field will be analyzed to determine performance and effectiveness.Cutting edge solutions software that are available can help and the use of statistical tools that has been proven via literature will also help

In my experience, dose adjustment is very important and helpful. In my engineering class and senior design research, after that in my career, I followed dose adjustment.

For wastewater recycling/treatment projects in manufacturing plants, more than once after the kick-off meetings I collected wastewater samples from the plants of the clients, took them to our laboratory for both lab-scale and pilot-scale treatment trial experiments. I determined the chemical dosages and operation parameters for the most cost-effective treatment scenario. Then I decided both the direct and indirect costs of the treatment per ton of wastewater to be treated. Nowadays we should talk more about recycling than discharge. All treated water should be recycled to the production lines, and zero discharge should be achieved.

The optimal cost-effect analysis can be completed with a numerical modeling study to evaluate the fate and transport of the discharge into the receiving waters and therefore compute an optimal dose and/or treatment strategies that have minimal impact on the environment.

Data for analysis will reveal the level of contaminants and this will help to determine what level to add or subtract to have the desired results.for example if there are plenty carcinogens what can you use to reduce the level so it will not affect biodiversity or water level

After all the mentioned above, I believe it is clear how adjusting not only doses but also several other operational parameters or, decision making in general, may be done based on latest generation remote sensing, IoT, AI directly connected to a server that may control decision making and suggest alternatives for the operator of the plant (or process) to proceed. The time to take actions regarding to protect water resources is long delayed and call for action to take control and make things right for once and all. There is no time to lose, we need to act proactively to protect our water resources and, with that, our future.

In the pursuit of determining the optimal dose for waste treatment chemicals, it is imperative to conduct studies involving different doses of these chemicals. Simultaneously, consistent monitoring of various operational parameters, such as pH, temperature, turbidity, and pollutant concentrations, at different chemical doses becomes essential to assess the efficacy of the treatment process. For example, the relationship between chemical dose and pollutant removal might be influenced by simultaneous variations in pH or temperature. This comprehensive approach is crucial for visualizing the removal efficiency and the suitability of the treatment process under diverse conditions.

Environmental monitoring allows for proactive adjustments in response to changing conditions, minimizing the risk of over or under-dosing. This optimization improves treatment efficacy, reduces costs, and promotes environmentally sustainable practices in waste treatment facilities. Some challenges related to optimizing chemical dosing include sensor calibration issues, data interpretation complexities, and the need for robust data infrastructure. Additionally, external factors like weather conditions can influence treatment processes, requiring adaptive strategies for optimal dosing adjustments. Addressing these challenges ensures accurate monitoring and effective optimization in waste treatment systems.

Using environmental monitoring data to determine the optimal dose of waste treatment chemicals can have several benefits, such as improving the treatment efficiency, reducing the environmental impact, saving the costs, or complying with the regulations. For the challenge develop rule &regulations strategy to take responsibility.

Esto permite una gestión ambiental más sostenible al ajustar las dosis de manera precisa, optimizando el uso de recursos y reduciendo la contaminación del suelo, agua e incluso el aire. Sin embargo, se enfrenta a desafíos como la complejidad en la interpretación de datos, costos asociados a la implementación de tecnologías de monitoreo y la necesidad de superar posibles resistencias a cambios en las prácticas agrícolas. A pesar de estos desafíos, la adopción de tecnologías avanzadas y la integración efectiva de datos contribuyen a una gestión más eficiente y responsable en el sector.

Conducting further research, both in laboratory and field studies is the most crucial factor in understanding the different aspects of the methods used to remove environmental pollutants. Continuous monitoring of the results obtained from various methods and benchmarking them against factors such as cost, environmental regulations, and reliable efficiency on an industrial scale could be possible. Finally, due to the sensitivity of environmental pollution and its irreparable impact on the environment and living species, pilot-scale testing can be used to ensure the effectiveness of the methods used.

What I'm understand during my study before, mass balance and actual testing to re-align the dose as the waste characteristic might be changes taking into the consideration on continuous or batching process.

As características de resíduos, efluentes, ou até de afluentes, caso do modelo convencional de Estação de Tratamento de Água, são variáveis que acabam não abordadas nos dimensionamentos de dispositivos de tratamento. De fato há certa complexidade nisso, pois há diversas variáveis. Entretanto, é possível que monitoramentos, sendo feitos com maior acurácia e riqueza de detalhes, contribuem com dimensionamentos mais ajustados de equipamentos em termos de volume, tempo de detenção, gradiente hidráulico e outras grandezas, ou, até, contribuem com avaliações criteriosas que permitem garantir que a eficiência de um equipamento possa ser mantida mesmo que esse equipamento seja submetido a cargas maiores que aquelas pré definidas em projeto.