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Related Concept Videos

Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Gravimetry: Overview01:05

Gravimetry: Overview

Gravimetric analysis is a quantitative method where the analyte is isolated and weighed directly or after conversion into a substance of known composition. Gravimetric analysis can be classified as precipitation, electrogravimetry, volatilization, and particulate gravimetry, based on the method used to isolate the analyte.
In precipitation gravimetry, the analyte is converted into a precipitate and weighed. For example, the silver content in a sample can be estimated by precipitating and...
Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...

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Related Experiment Video

Updated: Jun 27, 2026

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

[Quantitative estimation of suspended solid concentration in the lower Min River based on multi-source synchronal

Xiao-le Wen1, Han-qiu Xu

  • 1Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, College of Environment and Resources, Fuzhou University, Fuzhou 350002, China. wenxiaole@sina.com

Huan Jing Ke Xue= Huanjing Kexue
|December 17, 2008
PubMed
Summary

This study developed two models to predict suspended solid concentration (SSC) in the lower Min River using field spectrometer and Landsat TM data. The field spectrometer model showed higher accuracy, but Landsat TM data remains valuable for SSC prediction.

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Area of Science:

  • Remote Sensing
  • Environmental Science
  • Water Quality Monitoring

Context:

  • Suspended solid concentration (SSC) is a key indicator of water quality.
  • The lower Min River's water quality is influenced by suspended solids.
  • Accurate SSC monitoring is crucial for environmental management.

Purpose:

  • To develop and compare models for predicting SSC using field spectrometer and Landsat TM data.
  • To assess the effectiveness of remote sensing data for SSC estimation.
  • To understand the spatial distribution of SSC in the lower Min River.

Summary:

  • Two models were developed: one using field spectrometer data and another using Landsat TM data, to estimate SSC.
  • The field spectrometer model, utilizing reflectance at 690 nm and 530 nm, showed higher accuracy.
  • A Landsat TM model using a specific band combination also provided valuable SSC predictions, demonstrating its utility when field data is unavailable.

Impact:

  • The study validates the use of Landsat TM data for SSC monitoring, offering a cost-effective alternative to field measurements.
  • The developed models can efficiently reveal the spatial distribution patterns of SSC in river systems.
  • Findings support improved water resource management and environmental protection strategies for the lower Min River.