Environmental risks in resource-poor settings: the case of salination and climate change

Aneire E. Khan

Paolo Vineis

A neglected consequence of climate change is the increasing salinity level in coastal areas, due to several

mechanisms including sea level rise.

Salinity in drinking water can reach extremely high levels like in coastal Bangladesh, and potentially millions of people are exposed to a substantial risk of high blood

pressure.

The setting and the problem

• Bangladesh is vulnerable to natural hazards and the future effects of climate change.

– Deltaic plains of the Ganges, Brahmaputra Meghna rivers

– Suffer from acute climate events – floods, droughts, cyclones

– Long-term environmental degradation → salination & soil degradation, river erosion

– Effects likely to be exacerbated by climate change & sea-level rise

CLIMATE CHANGE

Rainfall,Monsoon

Snowmelt

Sea-level rise

Runoff

River flow

Estuarine intrusion

Saltwater intrusion [shallow

groundwater]

Surface water salinity

[downstream][river]

Shrimp farmingPoor land

management

Pond water[consumption]

Healtheffects

Simplified causal diagram of salinity & health

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2

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8

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Dacope Terokhada Matwail

preeclampsia

eclampsia

hypertension

Prevalence of hypertensive disorders in women attending antenatal check-ups in Dacope and other areas [May – July 2007] (Khan et al., Lancet 2008)

Prevalence rates of hypertension (with or without proteinuria) among pregnant patients aged 13-45, recorded between July 2008 and March 2010 in Upazilla Health Complex, Dacope, Bangladesh.

Month No. of cases Total no. of pregnancies Prevalence (95 % C.I.)

May – Sept 20 393 5.09 (2.91 – 7.26)Oct - April 70 576 12.2 (9.48 – 14.8)

Total 90 969 9.28 (7.46 – 11.1)

Prevalence odds ratio (95% CI): 2.39 (1.43 – 3.99)

Khan et al, Environmental Health Perspectives, 2011

Geographic distribution of sodium levels in water

Average sodium levels in drinking water in the different areas included in the study (1,006 healthy pregnant women at week 20 of pregnancy)(Khan et al, submitted)

Mean Water Sodium by water source

24-hr urinary sodium (mmol/d) by water source

Testing the hypothesis: case-control study

Water sodium mg/L Cases (n=202) Controls (n=1006)

Crude Odds Ratio (OR)

OR Adjusted by age, parity, SES

Min – 30043 (21.3) 277 (50.1)

1.00 1.00

300.01 – 600 45 (22.3) 106 (19.2)

2.73 (1.70 – 4.40) 3.36 (2.07 – 5.60)

600.01 – 90055 (27.2) 97 (17.5)

3.65 (2.30 – 5.80) 4.35 (2.61 – 6.94)

900.01 - max 59 (29.2) 73 (13.2)

5.21 (3.25 – 8.33) 5.40 (3.28 – 8.92)

Logistic regression of disease outcome (pre-eclampsia, eclampsia and/or gestational hypertension) with water sodium levels

A large share of the population in coastal Bangladesh may be consuming levels of up to 16g/day of salt in the dry season from

only 2L of natural drinking water.

Based on the INTERSALT model, the changes introduced by water salinity would lead a large proportion of the population to develop

pre-hypertension (systolic BP between 120 and 139mmHg or diastolic BP between 80 and 89mmHg) and hypertension

(SBP>140mmHg or DBP>90mmHg), depending on the baseline levels.

The larger picture

634 million people live in coastal areas within 30 feet (9.1m) of sea level. About two-thirds of the World’s cities with over 5 million

people are located in these low-lying coastal areas.

The IPCC predicts that sea level will further increase in the next decades. This will make the problem of salinity in drinking water becoming a major health issue in most coastal areas, particularly

in low-income countries.

Relative vulnerability of coastal deltas by number of people potentially displaced by trends to year 2050. (Extreme= >1 million; High= 1 million to 50,000; Medium=50,000 to 5000. (Ericson et al 2006)

Perspectives

For better description and prediction - including in other areas of the world - remote sensing can be used

Satellite images capture the density of “yellow matter” (CDOM) in estuaries and ponds. Yellow matter is an

indirect and reliable estimate of salinity

(in collaboration with D Bowers, Bangor University)

A satellite image of Bangladesh. Much of the country is a vast river delta for the Ganges, Brahmaputra and Meghna Rivers. Directly in the middle of the image, just at the edge of the world’s largest mangrove

forests – the Sundarbans (dark green ), shrimp farming has taken over from rice farming.

Photo from http://www.spiegel.de/fotostrecke/fotostrecke-21321-2.html

Relationship between surface salinity and CDOM in the Clyde Sea.

(Binding et al 2003)

Relationships between surface salinity and yellow substance (g440) for each of the three Clyde Sea surveys at different time

points. (Binding et al 2003)

Summary of studies that have used satellite images for salinity modelling in estuarine areas, using CDOM as a proxy

Location Sensor Spatial

resolutionR2 Value

Difference Between Observed and Predicted Salinity (ppt)

Observed Salinity Range (ppt)

Reference

Sofala Bank, Mozambique

SeaWifs 1.1km 0.76 ±1.5 24-35 Siddorn et al 2001 (122)

Clyde Sea, Scotland

SeaWifs 1.1km 0.93 +1.1 16-34 Binding et al 2003

East China Sea

SeaWifs 1.1km 0.86 ±1.0 26-34 Y.H.Ahn et al 2008 (123)

Columbia River Plume, USA

MODIS 250m 0.92 Single value unavailable as authors used 2 different models at 2 different dates***

0-30 Palacios et al 2009 (124)

Mandovi and Zuari Estuary

Ocean Colour Monitor

360m 0.76 Correlation, R2=0.75

31-34 Menon et al 2010 (125)*

Estimates of the overall impact on a world scale – in estuarine areas - can be made after validation of satellite data.

We are now conducting a study in Bangladesh that combines hydrology (Adrian Butler, Mohammad Hoque, Imperial

College), sodium measurements in 500 women (Aneire Khan, ICL) and satellite data (Pauline Scheelbeek, Yu-Jeat Chong,

ICL; David Bowers, Bangor University)

Funded by the Grantham Institute, Imperial College, andLeverhulme Trust (grant to PV, 2011)

Thank you!