Environmental Engineers are tasked with solving environmental problems. What data do they need to succeed?

With regards to air pollution control, there are three basic types of monitoring with different functions: - Ambient air quality monitoring provides the baseline and evaluates the status of the atmosphere as compared with air quality standards - Stationary sources emission monitoring measures stationary sources of emissions such as equipments, processes and facilities - Mobile source emissions such as automobiles The emission levels of stationary and mobile sources directly impact the ambient air quality of a region. Therefore periodic or continuous monitoring are required to demonstrate compliance with applicable regulatory requirements

Para resolver problemas ambientais de forma eficaz, os engenheiros ambientais precisam de uma variedade de dados para entender completamente a situa??o e desenvolver solu??es adequadas. Cada problema é único, mesmo quando muda de uma empresa pra outra, o cenário torna-se novo, os envolvidos e situa??es precisam ser avaliados de forma personalizada pra cada caso. é necessário ver o contexto como um todo, bem como o panorama que está localizado. Para ent?o avaliar e propor medida de interven??o aplicável.

Monitoring & analyzing ambient air quality involves observing various parameters, and several considerations, these include: 1. Ensuring environmental conditions such as temperature, humidity, rainfall levels, and wind speed and direction are taken into account. These factors aid in understanding the dispersion and movement of pollutants and the pollutant levels during measurements. 2. Considering the frequency and locations of monitoring, whether it is conducted presently or on a daily basis. 3. Ensuring measurement procedures adhere to standards to align data with established norms. Taking these aspects into account helps ensure effective monitoring and provides accurate data to support air pollution management efforts.

Environmental engineers rely on air quality data to assess the impact of emissions from industrial activities, transportation, and other sources on human health, ecosystems, and the environment. By analyzing air quality data, environmental engineers can identify pollution hotspots, track trends over time, and develop strategies to mitigate air pollution and improve air quality. The accurate collection, analysis, and interpretation of air quality data are essential for environmental engineers to design effective pollution control measures, assess environmental risks, and promote sustainable development practices that protect air quality and enhance the well-being of communities.

Para resolver problemas ambientais relacionados à qualidade da água, como por exemplo, verificar se a água de um corpo hídrico está própria para determinado uso ou se precisa de algum tratamento específico, é fundamental medir os parametros físicos, químicos e biológicos, para verificar a sua conformidade aos padr?es legislativos. Esses dados ambientais fornecem subsídios importantes para a tomada de decis?o dos órg?os responsáveis pela gest?o de recursos hídricos.

El monitoreo de la calidad de agua permite visualizar el comportamiento de la Fuente para definir acciones de regulación del recurso hídrico desde el punto de vista de calidad, disponibilidad y uso de este. Puntualmente el monitoreo de aguas residuales (domesticas e industriales) permiten a los ingenieros ambientales proponer modelos con el uso de IA en la toma de decisiones para la automatización, control y operación de los sistemas de tratamientos de aguas residuales como por ejemplo, el uso eficiente de la energía para la depuración de las aguas residuales en los procesos biológicos aerobios en suministro de aire en función de la carga orgánica de fuente.

Water quality data, encompassing physicochemical parameters, nutrients, heavy metals, biological indicators, and hydrological factors, is collected through monitoring networks, sampling campaigns, remote sensors, and hydrological models. By analyzing this data, we can assess water quality, identify pollution sources, and develop solutions to protect this vital resource. However, success hinges on their ability to interpret the data accurately, ensure its quality, and communicate the findings effectively to diverse audiences. Ultimately, harnessing the power of data empowers us to safeguard clean and safe water for present and future generations.

Em Gest?o de áreas Contaminadas, esse dado é imprescindível. Analisar as matrizes hídricas é vital para compreender a magnitude e os padr?es de contamina??o em diversos cenários, e coletá-los de forma assertiva de forma a garantir a qualidade dos dados e sua suficiência para análise, tudo de forma eficiente e otimizada visando n?o onerar excessivamente o projeto com amostragens desnecessárias, é um dos principais desafios do GAC.

Compreendem informa??es sobre a presen?a de substancias químicas, organismos patogênicos e outros contaminantes na água, tanto em corpos d'água naturais quanto em sistemas de abastecimento. S?o cruciais para proteger a saúde humana e os ecossistemas aquáticos.

Os engenheiros ambientais precisam de dados sobre tipos e quantidades de resíduos gerados, métodos de coleta e disposi??o, impactos ambientais e eficácia de programas de reciclagem e tratamento.

Waste data is a crucial component of environmental engineering as it provides valuable insights into the generation, composition, and disposal of solid, liquid, and hazardous wastes. By analyzing data on waste volumes, types, sources, and treatment methods, environmental engineers can evaluate the effectiveness of waste management systems, optimize waste collection and disposal processes, and implement pollution prevention measures to mitigate the environmental and public health risks associated with waste disposal. Waste data is essential for designing and implementing waste management plans, landfill operations, recycling programs, and hazardous waste treatment facilities to ensure compliance with regulatory requirements.

La gestion rationnelle des déchets est une solution par excellence pour réduire la pression que subit l'environnement de nos jours dans les grands centres des pays en développement. Ma?triser le principe de 3R, dans la gestion des déchets est une clé qui ouvre plusieurs opportunités dans la revalorisation et le recyclage de certains déchets. Actuellement, le manque de stratégie de gestion des déchets organiques exposent la population des milieux urbains aux mauvaises odeurs conduisant à l'apparition des maladies telles que la tuberculose... La solution serait de collecter ces déchets biodégradables dans les centres urbains et les transformer en engrais organiques nécessaires pour la production des légumes dans les jardins familiaux.

Some other things should also be taken into account such as 1. Culture of the place generating waste, From Context to context, region to region waste generation & characteristics varies this is very crucial & plays an important role in the collection of the data. 2. Standard of living, Habits of people generating waste 3. Seasonal variation 4. Floating Population & population growth of region 5. Numbers of commercial entities etc. Ideally Waste generation ~ Waste collection but it often observed that mostly Waste collection < Waste generation.

In my experience, the amount of waste recovery facilities and/or number of landfills per city in correlation to the waste generated is the important yet lacks monitoring data. In addition, the potential land for these facilities where NIMBY is not a big factor could also be looked after.

L'analyse des P10 (points 10 minutes) fournis gracieusement par Enedis ou votre fournisseur d'électricité est également un excellent moyen d'appréhender sa consommation, de relever des incohérences et de mesurer son talon énergétique. Une bonne compréhension de ce dernier, ajoutée à plusieurs sous-compteurs bien positionnés, est une première étape dans l'optimisation de sa consommation et permet de réduction souvent quasi immédiate et à très faible co?t.

Energy data is a critical aspect of environmental engineering as it plays a key role in assessing energy consumption, efficiency, and emissions associated with various industrial processes, transportation systems, and building operations. By analyzing data on energy consumption, production, and distribution, environmental engineers can assess the environmental impact of energy systems, optimize energy use, and implement energy efficiency measures to minimize resource depletion, air pollution, and carbon emissions. Energy data is essential for designing and implementing energy management plans, renewable energy projects, and energy-efficient technologies to enhance energy security, reduce environmental pollution.

Compreendem informa??es sobre o consumo e a produ??o de energia, bem como fontes de energia renovável e n?o renovável. S?o importantes para avaliar a pegada de carbono, identificar oportunidades de eficiência energética e promover a transi??o para fontes mais limpas e sustentáveis.

Energy data is a cornerstone for environmental engineers in designing sustainable energy systems and mitigating the environmental impacts associated with energy production and consumption. By analyzing energy consumption patterns, engineers can identify opportunities for efficiency improvements and demand-side management strategies. Additionally, energy data enables engineers to assess the potential of renewable energy sources and optimize their integration into the energy grid. Furthermore, energy data plays a crucial role in policy development and decision-making, providing evidence-based insights into the effectiveness of energy policies and regulatory measures.

Actuellement, les impacts que subit l'environnement sont multiples, il est possible de les hiérarchiser en fonction d'activités qui laissent une empreinte significative. Je peux dans ce cas citer l'exploitation minière (artisanale comme industrielle) qui laisse une empreinte écologique sur la destruction de la Biodiversité. Cette situation s'amplifie dans les pays en développement où les normes (nationale et internationale)de gestion de la Biodiversité déficitaires ou quasi inexistantes souffrent d'application. L'exploration comme l'exploitation des couches profondes du sous-sol contribuent à des impacts majeurs sur l'environnement, on peut citer l'échappement dans l'atmosphère des quantités importantes de CO2 immobilisées dans le sol, ...

Precisam de dados que incluam avalia??es de impacto ambiental, como dados sobre qualidade do ar, qualidade da água, biodiversidade, uso do solo, emiss?es de poluentes, mudan?as climáticas e habitat animal. Esses dados ajudam a entender os efeitos das atividades humanas no meio ambiente e a desenvolver estratégias para mitigar impactos negativos.

Environmental impact data can be useful in the determination of the 'human footprint' overview, according with the quality of the sensitive bodies, which should be the unique perspective to deal with in the preservation of the natural habitat, forecasting and fixing the objectives for the future

There are many methodologies that use environmental impact data. Nevertheless one of the most scientifically accepted is the Life Cycle Assessment (LCA) methodology which is meant to calculate an environmental footprint of products, processes and services. LCA also covers different life cycles stages depending on the interest of the organization and is the methodology required for Environmental Product Declarations (EPDs).

Estes dados englobam uma ampla gama de informa??es sobre o impacto das atividades humanas no meio ambiente, incluindo desmatamento, perda de habitat, contamina??o do solo, entre outros. S?o cruciais para avaliar os efeitos adversos das a??es humanas e desenvolver estratégias de mitiga??o e adapta??o.

Need to determine whether contamination is natural or not. The biggest challenge for any mine or northern tropical coastal areas is Acid Mine Drainage (AMD)/Acid Sulphate Soils (ASS) where the same 'bug' (acido thio bacillus ferro-oxidans) converts pyrites into H2SO4 when exposed to air.

Environmental engineers design storm sewers & sewage systems. They use historical rainfall data to create IDF curves, predicting rain intensity for the area. This helps design systems that can handle the expected water flow. Contour maps are crucial for laying pipes at proper elevations for efficient flow. Finding suitable outlets for treated sewage & storm water discharge is also vital. Engineers use software (SWMM, SewerGEMS, Storm CAD, HEC-RAS, Arc GIS, QGIS) & the manual rational method to design & calculate discharge rates. By combining historical data, topographical analysis, and software tools, sewers are designed which play a vital role in protecting floods, public health, and ensuring clean water resources for communities.

La Gestión de Sitios Contaminados es otro de los temas que vemos los ingenieros ambientales y que es tan complejo como apasionante. En el Perú se tienen diversos tipos de sitios contaminados, en las tres regiones naturales del País: Costa, Sierra y Selva, y por diversos contaminantes: hidrocarburos, metales pesados, químicos, entre otros. También se tiene una legislación específica para el tratamiento de los sitios contaminados, que incluyen guías técnicas aprobadas por el Ministerio del Ambiente, no obstante, aún hay muchos sitios contaminados que no han recibido una debida atención por parte del generador de la contaminación y otros tantos, ya han pasado a ser Pasivos ambientales a cargo del Estado Peruano.

In AI era, the more data is provided, the more effective and viable solutions you might achieve, and this is the same story in my field, water and wastewater treatment, as well. Take the WWTPs as an example; there is a tremendous amount of data in the influent and effluent stage, showing the quality parameters which can be understood so many points; whether the treatment process is efficient; does the efficiency rate decrease by the passage of time?; does it need to design any seasonality pattern of treatment?; what factors is the system sensitive to it? By gathering the data as perscise and complete as posisble, the environmental engineer can draw a plan and automate it by AI.

Public Health Data Information on how environmental factors impact human health, including disease incidence and exposure risks.