Evidence map›Paper›PMID 31452121›Full record

ArticleEnvironmental science and pollution research international2019

Study on the quantification of ecological compensation in a river basin considering different industries based on water pollution loss value.

Xinjian Guan, Shengling Hou, Yu Meng, Wenkang Liu

Abstract read
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In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xinjian GuanSchool of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Shengling HouSchool of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Yu MengSchool of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China. mengyu8@zzu.cn.
Wenkang LiuChina Water Resources & Hydropower Engineering Bohai Consultancy Co. LTD, Tianjin, 300222, China.

Funding

National Key R&D Program of China 2018YFC0407405National Natural Science Foundation of China 51809239National Natural Science Foundation of China 51879241
6 · The paper itself

Abstract

The study on the quantification of ecological compensation (eco-compensation) in a river basin can help to make environmental protection more compatible with ecological construction. In this paper, the upstream and downstream of the river basin were treated as the subjects and objects of eco-compensation, and the mechanism of eco-compensation was clarified. The emergy analysis theory (EMA) was used to calculate the values of water resources in sub-industries (agriculture, industry, life, and recreation). The pollution loss rate theory (PLR) was adopted to calculate the water pollution loss rate in sub-industries. According to the value of water resources and pollution loss rate in sub-industries, combined with the water consumption of sub-industries in the river basin, the Ecological Compensation Quantification Model of Sub-industries (ECQ-Is Model) was constructed. Under the guidance of the aforementioned theory and model, a comprehensive research was conducted on the Xiaohong River. The results showed that the eco-compensation values of the upstream area, industry, and agriculture in the river basin were higher. Therefore, it is essential that the water resources in the Xiaohong River basin be well conserved and managed. In addition, the research results point out the direction for water pollution control, which includes promoting the coordinated development of the upstream and downstream, and maximizing the ecological benefits of the river basin.

Indexed as

Models, TheoreticalAgricultureChinaConservation of Natural ResourcesIndustryRiversWater PollutionWater ResourcesEcological compensationEmergy analysis theoryPollution loss rateQuantification modelValue of water resourcesXiaohong river basin

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.