Kolkata (also known as Calcutta), built around the Hooghly River, is highly vulnerable to flooding from the monsoon rainfall between June and September. While these bring life to a stall, the city can cope. Cyclones however, like Amphan that came through in May 2020, cause devastating damage and cost many lives. 

A less prominent yet imminent threat is that of sea level rise, expected to fully engulf the city by 2100. Earth.Org has mapped what rising sea levels could lead to in Kolkata.

The city of Kolkata is home to 14 million people, making it the third largest agglomeration in India. It underwent rapid industrial expansion from the 1850s onward, but its infrastructure was destroyed by Japanese air strikes during World War II, then by a violent Marxist-Maoist movement called the Naxalites in the 1970s. The IT industry has revived the city but the disorganization of its expansion has left many vulnerable to natural disasters. 

Built on the lower Ganges Delta in what used to be wetlands, the water-logged region makes this low-lying city particularly vulnerable to flooding. Elevation varies from 1.5 meters to 11 meters above sea level, but there are also many natural depressions and a malleable clay layer beneath. Moreover, the drainage system in Kolkata may be one of the oldest in India. The poor economic history of the city has led to poor infrastructure maintenance and city planning, leading to clogged and unsanitary sewage, and sub-optimal canal design. 

As sea levels continue to rise, a normal flood’s impact will be amplified enough to cause serious real estate and infrastructural damage. Worse yet, a 1-in-100 year flood (whose intensity has a 1% chance of occurring in any given year), most probably driven by a storm surge, could kill hundreds if not thousands and majorly disrupt economic activity.

Mitigation would require a gargantuan effort, either by building defences or elevating vulnerable parts of the city. Earth.Org has modelled what a 1-in-100 year flood would look like by 2100 in the absence of preventive measures. 

sea level rise by 2100 kolkata

Sea level rise projections by 2100 for two scenarios with the amount of rise in meters indicated (mild = 3m; extreme = 6m). Percentage and total population displacement indicated bottom right.


Global mean sea level is projected to rise by 2m at the end of this century. However, in order to determine local sea level rise (SLR), one has to take into account local coastal flood levels which could be 2.8m above Mean Higher-High Water (MHHW) at extreme forecasts. These local levels bring variability to the projected SLR from 1m to 6.5m (eg. Rio vs Kolkata).

The SLR scenarios used in this study are based on the forecasts from Climate Central – Coastal Risk Screening Tool  with the following parameters:

Sea level Projection Source: is from two highly cited journals by Kopp et al., estimating SLR mainly due to ocean thermal expansion and ice melt. The mid-range scenario projected 0.5-1.2m of SLR based on different representative concentration pathways (RCP) defined by the IPCC. While the pessimistic scenario added more mechanisms of ice-sheet melting, estimating SLR at 1m-2.5m in 2100, with projection of 10m SLR at 2300.

Coastal Flooding: More frequent coastal flooding is a direct impact of sea-level rise. Based on the Global tides and surge reanalysis by Muis et al., (2016), it is estimated that the extreme coastal water level could be from 0.2 – 2.8m over mean level. While in extreme cases like China and the Netherlands it could experience 5-10m of extreme sea levels. Here, the coastal local flood level is added on top of the projected SLR.

Pollution Scenario: allows to choose the RCP, the greenhouse gas concentration trajectory defined by the IPCC.  The mild level is based on RCP4.5, of 2°C temperature rise; while Extreme level is based on RCP 8.5, of 4°C temperature rise.

Luck: applies to the the baseline SLR, defined in the “Sea level projection” section, upon which we add flooding. “Mild” refers to the mid-range scenario of 0.5-1.2m, and “extreme” to the pessimistic scenario of 1-2.5m. We used the high-end value of each scenario (mild = 1m; extreme = 2.5m).