Evidence map›Paper›PMID 41917080›Full record

ArticleScientific reports2026

Spatiotemporal differentiation and dynamics simulation of China's industrial soot and dust emissions.

Shouwei Li, Guoming Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Shouwei LiCollege of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Guoming ZhangJoint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University, Zhuhai, 519087, China. zgm@bnu.edu.cn.

Funding

the Inner Mongolia Autonomous Region Science and Technology Major Special Project 2024JBGS0009
6 · The paper itself

Abstract

To address the challenge of balancing industrial development and environmental protection in China, we explore the spatiotemporal evolution characteristics, driving mechanisms, and emission reduction paths of industrial soot and dust emissions using an interdisciplinary methodological framework. Results show that national ISDE follows a trajectory of stable fluctuation–linear increase–fluctuating decrease–fluctuating increase–linear decrease, with the spatial pattern shifting from “high in the east, low in the west” to “national convergence + local targeted governance”. The ISDE centroid moves along a path of southward –northward –northwestward. Guangdong, Jiangsu, and Zhejiang are core nodes in the inter-provincial ISDE correlation network, with strong linkages between eastern coastal provinces, economic hubs, and adjacent regions. The permanent population, secondary industry employment, crude oil consumption, and coal consumption are dominant drivers for most provinces, with heterogeneous factors across regions. Multi-scenario simulation for Shanxi indicates that the optimal path (Path 7) is high-speed GDP and population growth and controlling the low-speed development of industrial structure, industrial production demand, and energy consumption intensity.

Indexed as

Complex network analysisGrey relational analysisIndustrial soot and dust emissionsMulti-scenario simulationSpatiotemporal evolutionSystem dynamics

Identifiers

PMID41917080
PMCPMC13181021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.