1931 China floods

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1931 China floods topic overview

The analysis highlights Applications, Government reactions and Meteorological causes and physical consequences as prominent areas in the source structure around 1931 China floods.

Related topics: 75
Source areas: 5
Connected nodes: 80
Extracted relationships: 14
Related term clusters: 25
Bridge connections: 80

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Government reactions · 30 topics

Meteorological causes and physical consequences · 17 topics

Death toll and damage · 12 topics

Overview · 9 topics

Rebuilding of dikes at Lake Gaoyou · 7 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Areas affected: Central and eastern China
Duration: July–November 1931 (depending on river)
Fatalities: 422,499–4,000,000

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1931 China floods

6Floods in China · Republic of China (1912–1949) · Hankow

14Hankou · Wuhan · The Bund (Shanghai)

15University of Nanking (defunct in 1952) · John Lossing Buck · Cholera epidemic

3Grand Canal (China) · Gaoyou Lake · Gaoyou

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Meteorological causes and physical consequences

Death toll and damage

Rebuilding of dikes at Lake Gaoyou

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How 1931 China floods connects Entity context

The extracted context around 1931 China floods shows recurring relationship patterns in the source. For example, 1931 China floods → Central and eastern China Another extracted example is 1931 China floods → July–November 1931 (depending on river). Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Areas affected · 1

1931 China floods → Central and eastern China

Duration · 1

1931 China floods → July–November 1931 (depending on river)

Fatalities · 1

1931 China floods → 422,499–4,000,000

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

flood 1931 chinese china river yangtze people gaoyou areas water disaster relief commission death government also 000 wuhan city many

1931 China floods relationships Subject–Predicate–Object triples

TTTA extracted 14 structured relationships around 1931 China floods. Examples in this analysis include 1931 China floods → Areas affected → Central and eastern China and 1931 China floods → Duration → July–November 1931 (depending on river). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
1931 China floods	Areas affected	Central and eastern China	1.00	infobox
1931 China floods	Duration	July–November 1931 (depending on river)	1.00	infobox
1931 China floods	Fatalities	422,499–4,000,000	1.00	infobox
Wuhan	instance of	hitting major cities	0.80	text
Nanjing	instance of	hitting major cities	0.80	text
beyond	instance of	hitting major cities	0.80	text
and eventually culminating in a dike breach along Lake Gaoyou on 25 August 1931.Fatality estimates vary widely	instance of	hitting major cities	0.80	text
famous epidemiologist Wu Liande	instance of	including figures	0.80	text
health minister Liu Ruiheng	instance of	including figures	0.80	text
public health worker John Grant	instance of	including figures	0.80	text
and hydraulic engineer Oliver Todd	instance of	including figures	0.80	text
the Huai River Conservancy Commission to address flood problems	instance of	the government set up organizations	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around 1931 China floods bring nearby vocabulary together. In this analysis, examples include River, Toll and Death. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

1931 China floods
- River
- Toll
- Death
- Flood
- Floods
- Affected
- Central
- Lake
- City
- Gaoyou
- Inundated
- National
1931 china floods
- Lake
- River
- Toll
- Gaoyou
- Death
- Flood
- Floods
- Affected
- Central
- Dikes
- Hankou
- City
floods in china
- Lake
- River
- Toll
- Gaoyou
- Death
- Flood
- Floods
- Affected
- Central
- Dikes
- Hankou
- City
republic of china (1912–1949)
- River
- Toll
- Death
- Flood
- Floods
- Affected
- Central
- Lake
- City
- Gaoyou
- National
- Also
grand canal (china)
- River
- Toll
- Death
- Flood
- Floods
- Affected
- Central
- Lake
- City
- Gaoyou
- National
- Also
great wall of china
- River
- Toll
- Death
- Flood
- Floods
- Affected
- Central
- Lake
- City
- Gaoyou
- National
- Also
death toll and damage
- Death
- Toll
- China
- Also
- Areas
- Dikes
- Floods
- Hankou
- River
- Flood
- Affected
- Central
rebuilding of dikes at lake gaoyou
- Dikes
- Lake
- Gaoyou
- Central
- One
- Floods
- Hankou
- River
- Affected
- Toll
- Wuhan
- City

Connections between topic areas Semantic bridges

For 1931 China floods, one of the stronger structural bridges in this analysis connects 1931 China floods with Government reactions. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

1931 China floods — Government reactions · splits 50 ⟂ 31

1931 China floods — Meteorological causes and physical consequences · splits 63 ⟂ 18

1931 China floods — Death toll and damage · splits 68 ⟂ 13

1931 China floods — Overview · splits 71 ⟂ 10

1931 China floods — Rebuilding of dikes at Lake Gaoyou · splits 73 ⟂ 8

Map overview Semantic statistics

1931 China floods

Nodes81

Edges80

Triples14

Avg. degree1.98

Density0.024691

Components1

Source & methodology

TTTA analyzes the structure around 1931 China floods to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Government reactions & Meteorological causes and physical consequences, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — 1931 China floods · EN edition · Analysis: TopicsToTalkAbout

1931 China floods: Applications, Government reactions & Meteorological causes and physical consequences

1931 China floods topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Meteorological causes and physical consequences

Death toll and damage

Rebuilding of dikes at Lake Gaoyou

Government reactions

For the semantics nerds

Advanced semantic analysis

How 1931 China floods connects Entity context

1931 China floods

Top relations

Important terminology

Important terminology

1931 China floods relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

1931 China floods

Source & methodology