ArticleEnvironmental science and pollution research international2019
Modeling the non-point source pollution risks by combing pollutant sources, precipitation, and landscape structure.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin.International journal of environmental research and public health · 2021Article
- Teleconnection between climate oscillations and riverine nutrient dynamics in Southeast China based on wavelet analysis.Environmental science and pollution research international · 2021Article
- Discussing on "source-sink" landscape theory and phytoremediation for non-point source pollution control in China.Environmental science and pollution research international · 2020Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Traditional models of nutrient simulation usually focus on the pollutant sources and precipitation, lacking the quantification of landscape structure. We developed a new prediction model of pollution risks by combing pollutant sources, precipitation, and landscape structure, which was defined as the source-precipitation-landscape model (SPLM). The SPLM was applied to simulate the non-point source (NPS) total nitrogen (TN) exports in one of the largest river basins in China (the Haihe River Basin, HRB). TN concentrations of 35 sampling catchments in 2013 were used to test the accuracy of the SPLM. Simulated results showed that (1) the SPLM had a relative high accuracy in the simulation of NPS TN export and intensity, especially for TN intensity. (2) The mean TN export and intensity of all the 1578 catchments in the HRB were 441.97 t and 2.08 t/km
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Registered trials
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