The water quality testing of well water is carried out through three major technological paths: physics, chemistry, and biology, combined with geological adaptability analysis, to construct a comprehensive evaluation system. As an important source of groundwater, well water quality is directly related to human health and ecological balance. However, due to factors such as geological structure and human activities, well water may have hidden dangers such as excessive heavy metals and microbial contamination.
As an important source of groundwater, well water quality is directly related to human health and ecological balance. However, due to factors such as geological structure and human activities, well water may have hidden dangers such as excessive heavy metals and microbial contamination.
Detection principle: Multi dimensional analysis of water quality characteristics
The water quality testing of well water is carried out through three major technological paths: physics, chemistry, and biology, combined with geological adaptability analysis, to construct a comprehensive evaluation system.
Physical indicator detection: revealing the "appearance characteristics" of water
Chromaticity and turbidity: Determine the content of suspended solids and dissolved substances in water by spectrophotometry. For example, a self owned well in Jinan found that the water sample was yellow in color, and after testing, it was found that the iron and manganese exceeded the standard. Long term consumption can lead to macular degeneration of teeth.
PH value and conductivity: pH test paper or electrode method is used to quickly determine the acidity or alkalinity, and the conductivity meter reflects the total amount of dissolved solids. A testing institution in Beijing once found that the pH value of a well water reached 9.5, and long-term consumption can disrupt the body's acid-base balance.
Chemical index testing:
Heavy metal analysis: Atomic absorption spectroscopy (AAS) or inductively coupled plasma mass spectrometry (ICP-MS) can accurately detect 28 toxicological indicators such as lead, arsenic, and hexavalent chromium. Testing in a fluoride high incidence area in Shandong Province showed that some well water had fluoride levels exceeding 1.5 times the standard, causing dental fluorosis in children.
Nitrate and Nitrite: Determination of Nitrogen Pollution by Ion Selective Electrode Method or High Performance Liquid Chromatography (HPLC). In agricultural areas, well water often exceeds nitrate levels due to fertilizer infiltration, and excessive intake may lead to methemoglobinemia.
Biological indicator detection: identifying "microbial killers"
Total coliforms: Multiple tube fermentation or filter membrane method is used, and the count is incubated on standard culture medium. A rural well water test found that the total bacterial count exceeded the standard by 40 times, mainly due to fecal pollution caused by wellbore leakage.
Virus detection: Polymerase chain reaction (PCR) technology can identify pathogens such as norovirus, which is particularly important during epidemics.
Geological adaptability testing: addressing regional risks
Radioactive substances: Total alpha and total beta radioactivity detection is targeted at areas with special geological structures. Some testing institutions in Beijing have listed this as an optional testing item to prevent contamination from natural radiation sources.
Special ion detection: such as adding fluoride special detection in high fluoride areas and measuring total hardness (calcium and magnesium ion content) in hard water areas.
Conclusion
Well water quality testing is a bridge connecting scientific understanding and health action. Through multi-dimensional detection of physics, chemistry, and biology, combined with geological adaptability analysis, water quality risks can be comprehensively evaluated; The four major goals, from health protection to ecological maintenance, construct a protective network from individuals to society. In the future, with the popularization of portable detection devices and the construction of big data monitoring platforms, well water safety assurance will move towards a new stage of greater precision and efficiency.