2019
DOI: 10.3390/su11205565
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Risk Assessment Based on Nitrogen and Phosphorus Forms in Watershed Sediments: A Case Study of the Upper Reaches of the Minjiang Watershed

Abstract: In order to achieve effective eutrophication control and ecosystem restoration, it is of great significance to investigate the distribution characteristics of nutrient elements in sediments, and to perform ecological risk assessments. In the current grading criteria for nutrient elements in sediments, only the overall or organic components of carbon, nitrogen and phosphorus are considered, while the specific species distributions and bioavailability characteristics are rarely taken into account. Hence, using t… Show more

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Cited by 16 publications
(6 citation statements)
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“…An ecological risk assessment of nutrients in river bottom sediments was performed using a method based on the Single Pollution Index (SPI) [43].…”
Section: Risk Assessment Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…An ecological risk assessment of nutrients in river bottom sediments was performed using a method based on the Single Pollution Index (SPI) [43].…”
Section: Risk Assessment Methodsmentioning
confidence: 99%
“…Values of 550 mg-kg −1 , 600 mg-kg −1 , 1% and 2% were used as standard values for TN, TP, TOC and Fe, respectively, which are derived from safe nutrient concentration limits that can be found in the Sediment Quality Guidelines [25,43]. Based on the P i , four hazard classes can be distinguished as shown in Table 2 [43].…”
Section: Risk Assessment Methodsmentioning
confidence: 99%
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“…Additionally, these lakes play a vital role in population and industrial centers [1]. However, increasing industrial wastewater and domestic sewage are deteriorating water quality, degrading the ecosystem, and causing eutrophication and other problems [2][3][4]. The anthropogenic impact on the lake waters include a significant heavy metal load which easily accumulates in lake sediment and are sources of sustained pollution.…”
Section: Introductionmentioning
confidence: 99%