Evidence map›Paper›PMID 41634073›Full record

ArticleScientific reports2026

Quantitative risk assessment for the compound drought-wildfire disaster.

Kyunghun Kim, Hung Soo Kim

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.

Kyunghun KimInstitute of Water Resources System, INHA University, Incheon, 22212, Republic of Korea. kkh0904@inha.ac.kr.
Hung Soo KimDepartment of Civil Engineering, INHA University, Incheon, 22212, Republic of Korea. sookim@inha.ac.kr.

Funding

National Research Foundation of Korea 2022R1A2C2091773
6 · The paper itself

Abstract

Compound drought-wildfire (CDW) disasters, driven by the interaction of drought and wildfire, are increasing worldwide. Despite this trend, there is still a lack of methodologies for quantitatively assessing CDW disaster risk, which makes it difficult to develop response plans. Therefore, this study proposes a quantifiable methodology for CDW risk assessment by applying a drought scenario to simulate drought induced weather conditions and the Fire Weather Index (FWI) to quantify potential wildfire spread and severity. The drought scenarios represent a 12-month drought with a 30-year return period, whereas the normal scenarios are based on typical regional climate conditions. Based on each scenario, DFWI and NFWI were calculated to quantify the risks of CDW disasters and single wildfire disasters. The estimated DFWIs showed the quantitative risk of CDW disasters in each region and monthly risk maps were developed to highlight high risk areas. By comparing DFWI and NFWI, the impact of drought on wildfire risk was analyzed and presented quantitatively. These results provide essential information for disaster response strategies for CDW disasters and emphasize the need for integrated drought and wildfire response management by clearly demonstrating the impact of drought on wildfire risk.

Indexed as

CDWCompound disasterDFWIDrought scenarioFWINFWI

Identifiers

PMID41634073
PMCPMC12920799

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.