Skip to main content

BIS Standards for Drinking Water


The Bureau of Indian Standards (BIS) plays a crucial role in ensuring the quality and safety of drinking water in India. It establishes comprehensive standards that cover various physical, chemical, and microbiological parameters. Let's delve into some key BIS standards, their significance, and relevant concepts:

1. pH Value (6.5 – 8.5)

  • Definition: pH measures the acidity or alkalinity of water on a scale of 0 to 14, with 7 being neutral.
  • Significance:
    • Influences the solubility and availability of minerals in water.
    • Low pH can lead to the leaching of metals like lead and copper from pipes.
    • High pH can cause scale buildup in pipes and appliances.
  • BIS Standard: The pH of drinking water should fall within the range of 6.5 to 8.5 to prevent corrosion and scaling.

2. Turbidity (Maximum 1 NTU)

  • Definition: Turbidity refers to the cloudiness of water caused by suspended particles like dirt, silt, and microorganisms. It is measured in Nephelometric Turbidity Units (NTU).
  • Significance:
    • High turbidity can indicate contamination and hinder disinfection processes.
    • It affects the aesthetic quality of water, making it unpleasant to drink.
  • BIS Standard: The turbidity should not exceed 1 NTU to ensure clear and aesthetically pleasing water.

3. Total Hardness (Maximum 200 mg/L)

  • Definition: Hardness is primarily due to the presence of dissolved calcium and magnesium ions. It is usually measured in mg/L as calcium carbonate.
  • Significance:
    • High hardness can affect the taste of water and cause scaling in appliances.
    • It can also increase soap and detergent consumption.
  • BIS Standard: The total hardness should not exceed 200 mg/L to minimize scaling issues and maintain water quality.

4. E. coli (Should Not Be Detectable in 100 mL Sample)

  • Definition: E. coli is a type of coliform bacteria commonly found in the intestines of humans and animals. Its presence indicates fecal contamination.
  • Significance: E. coli in drinking water signifies potential contamination with harmful pathogens, posing a risk of diseases like diarrhea and dysentery.
  • BIS Standard: E. coli should not be detectable in any 100 mL sample to ensure the absence of fecal contamination.

5. Chloride (Maximum 250 mg/L)

  • Definition: Chlorides are salts of hydrochloric acid, primarily found as chloride ions (Cl⁻).
  • Significance: High chloride levels can impart a salty taste to water and contribute to corrosion.
  • BIS Standard: The chloride content should not exceed 250 mg/L to maintain a pleasant taste and prevent corrosion.

6. Arsenic (Maximum 0.01 mg/L)

  • Definition: Arsenic is a toxic heavy metal that can contaminate water from natural or anthropogenic sources.
  • Significance: Long-term exposure to arsenic can lead to serious health issues, including cancer and skin lesions.
  • BIS Standard: The arsenic concentration should not exceed 0.01 mg/L to safeguard public health.

7. Copper (Maximum 0.05 mg/L)

  • Definition: Copper is an essential trace element, but excessive levels can cause gastrointestinal problems and may affect water taste.
  • Significance: High copper levels can also stain clothes and utensils.
  • BIS Standard: The copper concentration should not exceed 0.05 mg/L to ensure safe consumption.

Comments

Popular posts from this blog

Radar Remote Sensing SAR

1. Radar and Radar Remote Sensing RADAR stands for Radio Detection and Ranging . It is an active remote sensing system that transmits microwave energy toward the Earth's surface and records the energy that is returned to the sensor as an echo or backscatter . Unlike passive optical remote sensing, radar does not depend on sunlight. Therefore, it can operate day and night and, at suitable wavelengths, can acquire data through clouds, haze and light rain. Hence, radar is widely described as an all-weather, day-and-night remote sensing technology . Basic principle Microwave pulse → transmission → interaction with surface → backscatter/echo → antenna receives signal → signal processing → radar image 2. Microwave Energy Radar systems use microwave electromagnetic radiation , generally in wavelength ranges from approximately 1 mm to 1 m . Important radar bands include: Band Approx. wavelength Common applications ...

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...

Lidar

LiDAR (Light Detection and Ranging) is an active remote sensing technology that measures distances by illuminating a target with laser pulses and analyzing the time it takes for the reflected light to return. Unlike passive systems (e.g., cameras, multispectral sensors), LiDAR provides its own energy source (laser), allowing it to operate both day and night and even penetrate through vegetation canopies . 🔹 How LiDAR Works (Step-by-Step Process) Laser Pulse Emission The system emits rapid, short pulses of laser light (commonly in the near-infrared wavelength, 1064 nm ). Some systems emit up to hundreds of thousands of pulses per second . Interaction with Target Surface The laser beam strikes objects such as vegetation, buildings, or bare ground. Depending on the object's structure, part of the pulse may scatter or reflect. Return Signal Detection The sensor records multiple returns : First Return → typically vegetation canopy tops. ...

Geometric Correction

When satellite or aerial images are captured, they often contain distortions (errors in shape, scale, or position) caused by many factors — like Earth's curvature, satellite motion, terrain height (relief), or the Earth's rotation . These distortions make the image not properly aligned with real-world coordinates (latitude and longitude). 👉 Geometric correction is the process of removing these distortions so that every pixel in the image correctly represents its location on the Earth's surface. After geometric correction, the image becomes geographically referenced and can be used with maps and GIS data. Types  1. Systematic Correction Systematic errors are predictable and can be modeled mathematically. They occur due to the geometry and movement of the satellite sensor or the Earth. Common systematic distortions: Scan skew – due to the motion of the sensor as it scans the Earth. Mirror velocity variation – scanning mirror moves at a va...

Image Transformation

In remote sensing, image transformation is used to create new images by manipulating existing ones, enhancing the information extracted from each pixel. Multi-image manipulation and other transformations allow analysts to highlight specific features, compare time-series data, or reduce data dimensions for better interpretation. 1. Multi-Image Manipulation This technique involves applying mathematical operations to multiple images, typically from different bands, dates, or sensors, to highlight specific features or changes. Common methods include: a. Image Addition Purpose : Highlights areas of similarity or enhances features when the same objects appear in multiple images. How it Works : By adding pixel values from two images, the output image emphasizes areas where brightness is high in both. Example : Enhancing overall brightness or detecting seasonal changes by adding images from different times. b. Image Subtraction Purpose : Identifies differences between images, useful for chan...