PHY-231: Think Like a Data Scientist

Climate, Water & Disaster
Patterns in Vietnam

Vietnam gets hit by more floods and storms than almost any other country in the world. This project uses 120 years of data to figure out why — and whether it's getting worse.

Student An Nguyen
Datasets 3 Joined
Time Span 1901 – 2023
Questions 4 Answered
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Three Datasets. Four Questions. One Story.

Vietnam is one of the most disaster-prone countries in the world. Floods, storms, and landslides hit almost every year. But why is Vietnam so vulnerable — and are things getting worse over time? To find out, I pulled together three datasets covering rainfall, river levels, and disaster history, then connected them to look for patterns.

🌧️
Climate Records

Monthly precipitation and temperature across four 30-year periods from 1901 to 2020. Covers the full monsoon cycle.

View on Kaggle ↗
🌊
Disaster Records

Every recorded natural disaster in Vietnam from 1953 to 2023, including floods, storms, deaths, and affected provinces.

View on Kaggle ↗
📏
River Water Levels

Daily water level gauge readings for 10 rivers spanning northern highlands to the central coast and Mekong region.

View on Kaggle ↗
🗺️
Join Strategy

Datasets are linked by month number (temporal join) and province name text search (geographic join). All queries run in SQLite.

Kaggle Platform ↗
Q1

Research Question 1

Does More Rain in a Month Mean More Disasters?

Average Monthly Rainfall · 1901–2020

Flood & Storm Events by Month

Deaths from Floods & Storms by Month

Key Finding

More rain does lead to more disasters — but with a delay. Rain peaks in August; disasters and deaths peak in September–October. The ground is already saturated when the season's worst storms arrive, leaving the water nowhere to go.

Look at all three charts and a clear order emerges: rain peaks in August, disaster events peak in October, and deaths peak in September — right in the middle. Why that order?

August is wet, but it's predictably wet. People are ready for it. By September, the ground is already soaked from weeks of monsoon rain and rivers are running high. Then a typhoon hits. The water has nowhere to go, so it floods fast — and that's when people die. October sees the most events overall, but by then communities have usually started to respond.

The surprising part: the rainiest month (August) is not the deadliest. It's the follow-on months, when an already-saturated country gets slammed by a storm, that cause the most deaths.

Q2

Research Question 2

Do Provinces with Volatile Rivers Get Hit Harder by Disasters?

River Volatility — Level Range (cm)

Disaster Mentions per Province

~100 km wide Hue Quang Nam Truong Son Mts ▲ East Vietnam Sea N

Why Location Matters

Central Vietnam is a narrow strip with nowhere for water to escape

The red dots on the map show Hue and Quang Nam. Notice where they sit: squeezed between the Truong Son mountain range on the left and the East Vietnam Sea on the right. At its widest in this region, the flat coastal land is only about 100km across.

When a typhoon hits that strip, rain pours off the mountains and directly into the rivers — with no wide floodplain to slow it down. The water has nowhere to spread out, so it rises fast and floods towns before it can drain. That's why even a "moderate" flood event here can cause serious damage.

Compare that to the north, where the Red River delta is wide and flat. A big flood there has room to spread and slow down. In central Vietnam, the terrain turns every major rain event into a potential disaster.

~100km
flat land width at Hue
#1 & 2
most dangerous rivers in Vietnam

Key Finding

Volatile rivers and frequent disasters do tend to go together — but Hue and Quang Nam get hit hardest not because their rivers are the biggest, but because of where they are. When you're squeezed between mountains and the sea, even a medium-sized flood has nowhere to go.

Song Da (Hoa Binh) and Song Ma (Thanh Hoa) have Vietnam's most dramatic rivers — they can swing thousands of centimeters between the dry and wet season. And both provinces show up often in disaster records, which makes sense.

But look at Hue and Quang Nam. Their rivers aren't nearly as dramatic. Yet both provinces appear in disaster records almost as often as the northern giants. The map above explains why — they're trapped in a 100km strip between mountains and sea. There's no room for floodwater to spread out, so even a moderate flood rushes straight through populated lowlands. Geography turns an average flood into a disaster.

Q3

Research Question 3

Do Rivers Have a "Tipping Point" Where Flooding Becomes Dangerous?

% of readings above danger threshold (mean + 2 standard deviations)

River Province Normal Level (cm) Danger Level (cm) % Above Danger
Song Thu BonQuang Nam~145~3107.5%
Song Ta TrachHue~180~3806.8%
Song BaPhu Yen~290~5805.2%
Song MaThanh Hoa~310~6504.8%
Song DaHoa Binh~820~19003.9%
Song Dak BlaKon Tum~195~4303.5%
Song LoTuyen Quang~480~9903.1%
Song ThaoYen Bai~420~8702.8%
Song Kron AnaDak Lak~160~3402.4%
Song CauBac Ninh~95~2001.9%

Key Finding

Song Thu Bon and Song Ta Trach spend the most time above their danger thresholds — around 7% of all readings. That's roughly 25 dangerous days per year on average. Both are in central Vietnam, where typhoon-driven rainfall events push rivers past their tipping points repeatedly every season.

Think of a bathtub. You can fill it slowly for hours and it's fine. But fill it fast enough and it overflows. Rivers work the same way. The question is: how often does each river "overflow" its safe range?

I set the danger line at mean + 2 standard deviations — a level a river should only hit about 2–3% of the time if everything is normal. Song Thu Bon and Song Ta Trach both exceed it nearly 7% of the time. That's roughly 25 dangerous days a year, every year.

And again, both are in central Vietnam — right in that narrow coastal strip where typhoon rain funnels straight into the rivers. They fill up fast. Rivers farther south, like those flowing through the wide Mekong floodplain, have more room to absorb the surge, so they cross their danger thresholds far less often.

Q4

Research Question 4

Has Vietnam's Rainfall Pattern Shifted Over 90 Years?

Average Monthly Precipitation — 1901–1930 vs 1991–2020

Month 1901–1930 (mm) 1991–2020 (mm) Change

Key Finding

November has gained approximately +11.6 mm of rainfall over 90 years. September has lost about -11.5 mm. The dangerous tail of the rainy season is getting longer — and the deadliest months (October–November, per Q1) are now wetter than they were a century ago.

The overall pattern of Vietnam's rainfall hasn't flipped — it's still wet in summer and dry in winter. But the edges of the rainy season have shifted. September is getting slightly drier. November is getting noticeably wetter — about 12mm more than it was 90 years ago.

That might not sound like much, but go back to Question 1: October and November are already the deadliest months for floods and storms. If November keeps getting wetter, the dangerous part of the year gets longer. Events that used to wind down in October are now bleeding into November.

This isn't a sudden change — it's been building slowly across all four 30-year periods in the dataset. And for a country that's already one of the most disaster-prone in the world, even a modest extension of the dangerous season matters.

Sources

All datasets, academic literature, and supporting reports used in this analysis.

Dataset · Kaggle

Rainfall & Temperature Vietnam 1901–2020

Monthly climate normals across four 30-year periods by patricklford. Primary source for Q1 and Q4.

kaggle.com ↗

Dataset · Kaggle

Mass Disasters in Vietnam 1900–2024

Event-level disaster records including type, date, location, and mortality by patricklford. Primary source for Q1 and Q2.

kaggle.com ↗

Dataset · Kaggle

Water Levels of Rivers in Vietnam

Daily gauge readings for 10 major rivers across Vietnam by suthcong. Primary source for Q2 and Q3.

kaggle.com ↗

Academic Paper · MDPI Water

Flood Risk in Vietnam: Trends and Projections

Peer-reviewed analysis of flood frequency, spatial distribution, and climate-driven changes in Vietnamese river systems.

mdpi.com/2073-4441/12/6/1646 ↗

Report · World Bank

Vietnam Country Climate & Development Report

Analysis of Vietnam's climate vulnerability, disaster risk, and socioeconomic exposure, with projections through 2050.

openknowledge.worldbank.org ↗