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Gold mining with mercury poses health threats for miles downstream

GeoSpace: Earth & Space Science - Mon, 06/08/2020 - 16:41

Small-scale gold mining in the Peruvian Amazon poses a health hazard not only to miners but also to nearby communities. Contrary to common assumption that communities closest to mining bear the brunt of exposure, new evidence shows that the highest non-occupational mercury exposures occur in native communities hundreds of kilometers away from mining.

In communities where fish is an important part of the diet, children under 12 with the highest levels of mercury in their hair (exceeding the World Health Organization guideline) have been found to have intellectual deficits amounting to a loss of 4.68 IQ points. Even children with exposure below this guideline show effects amounting to a 0.8 IQ point drop for every 1 part per million increase in hair mercury. This effect is roughly four times larger than detected in an earlier study of prenatal mercury exposure in the Republic of Seychelles.

Both findings come from a series of studies conducted by scientists in and around the Amarakaeri Communal Reserve in the Madre De Dios region of Peru. They appear in a pair of papers published 20 May issue of the AGU journal GeoHealth and 28 May in the Journal of Exposure Science and Environmental Epidemiology.

Duke researcher Helena Frischtak, (right front) administers psycholocal assements with a pair of Peruvian children during a study of mercury contamination near small-scale gold mining. (Bill Pan, Duke)

The studies show that common assumptions about mercury exposure should be reexamined, and that native people in the region are more vulnerable to harm, probably because of their greater reliance on river fish, but also perhaps because their healthcare and standard of living is not as high.

“We can’t just rely on assumptions or ‘common sense’ in science,” said lead author Caren Weinhouse, an assistant professor at Oregon Health & Science University. Many studies have looked at communities closest to the mines on the assumption that they would have the greatest mercury exposures. “We assumed that people closest to mining would have the highest exposure, but we were wrong,” she said. “The lesson is that if we only focus on the people we assume are at risk, we might end up missing the big picture.”

Artisanal and small-scale gold miners in the Peruvian Amazon use liquid elemental mercury to extract gold from soils and sediments. The mercury binds to the gold to form an amalgam, which is then extracted by burning, creating gaseous mercury that enters the atmosphere. The rest of the mercury ends up dumped on the landscape, which is ravaged and eroded by the mining. Miners are also known to simply pour excess mercury directly into surface waters.

As the mercury travels and mixes with the environment, it becomes methylmercury, which is more readily taken up by animals and tends to “bio-accumulate” or add up in tissues, and then “biomagnify” as bigger fish eat contaminated little fish. Although all native communities showed high exposure, their river locations shed light on the likely exposure source. In two sampled native villages that were on tributaries of the Madre de Dios River, mercury exposure was lower than in native people living on the main stem of the river where mining runoff is concentrated, leading the scientists to conclude that fish is the likely exposure source and mining is the likely culprit.

Mercury is a neurotoxic metal that can lead to muscle weakness and problems with coordination in high doses, and neurodevelopmental delay, hyperactivity and IQ deficits in lower doses.

To gather data on hair and blood concentrations of mercury, both near mining operations and farther away, the researchers visited 1,221 Peruvian households in 23 communities in 2015 and returned to resample 900 of those households the following year.

Some of the children in a subsample of the population had higher mercury levels and were on average lower in cognitive ability. A third of the children were found to have mercury levels higher than the World Health Organization’s exposure guidelines.

“We knew going in that mercury caused IQ deficits. What we didn’t know was whether the risk was the same in this setting as it is in prior studies, which were done in “healthy, wealthy” populations,” said Duke University graduate student Aaron Reuben, who led the smaller pilot study on children. Reuben explained that children in Madre de Dios are already at high risk for IQ deficits, because they have poor nutrition and socioeconomic status.

An earlier, benchmark study of prenatal mercury exposure conducted in the Republic of Seychelles reported a loss of 0.18 IQ points for every 1 part per million increase in maternal hair mercury, an effect about four times lower than those in the Peru study. Hair mercury levels in both the Seychelles and Peru studies likely reflect fetal exposure, which allows comparisons of their results.

 “This study suggests that mercury may affect brain development more at the same doses in higher risk populations,” said Reuben. He noted that the group didn’t account for the effects of possible prenatal exposure in the tested children.

The researchers also found initial evidence that the higher the mercury levels in a child’s blood, the lower their hemoglobin levels, corroborating an earlier study from this research team.

“Although mercury is not generally considered a risk factor for anemia, it might be in a population with other, pre-existing risk factors for the disease,” said William Pan, associate professor of environmental sciences and policy at Duke University. “Given that anemia affects over 2 billion people and mercury is a global pollutant, this is a priority research area.” Another earlier study by the Duke University team found that children with higher mercury exposures were less responsive to vaccines, especially if they were also malnourished.

“Taken together, the message is that we can’t assume that we know who is exposed unless we look, and we can’t assume that health risks will translate from developed countries,” Weinhouse said. “These studies show that highest exposures happen in vulnerable, native communities and that they might be at risk for even greater harm than healthy people with the same exposures.”

This post was originally published on the Duke University website.

The post Gold mining with mercury poses health threats for miles downstream appeared first on GeoSpace.

Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements

Atmos.Meas.Tech. discussions - Mon, 06/08/2020 - 13:39
Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements
Ilona Ylivinkka, Santeri Kaupinmäki, Meri Virman, Maija Peltola, Ditte Taipale, Tuukka Petäjä, Veli-Matti Kerminen, Markku Kulmala, and Ekaterina Ezhova
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-130,2020
Preprint under review for AMT (discussion: open, 1 comment)
In this study, we developed a new algorithm for cloud classification using solar radiation and cloud base height measurements. Our objective was to develop a simple and inexpensive but effective algorithm for the needs of studies related ecosystem and atmosphere interactions. In the present study, we used the algorithm for obtaining cloud statistics at a measurement station in southern Finland and we discuss on the advantages and shortcomings of the algorithm.

Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements

Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements
Ilona Ylivinkka, Santeri Kaupinmäki, Meri Virman, Maija Peltola, Ditte Taipale, Tuukka Petäjä, Veli-Matti Kerminen, Markku Kulmala, and Ekaterina Ezhova
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-130,2020
Preprint under review for AMT (discussion: open, 1 comment)
In this study, we developed a new algorithm for cloud classification using solar radiation and cloud base height measurements. Our objective was to develop a simple and inexpensive but effective algorithm for the needs of studies related ecosystem and atmosphere interactions. In the present study, we used the algorithm for obtaining cloud statistics at a measurement station in southern Finland and we discuss on the advantages and shortcomings of the algorithm.

An improved post-processing technique for automatic precipitation gauge time series

Atmos.Meas.Tech. discussions - Fri, 06/05/2020 - 19:07
An improved post-processing technique for automatic precipitation gauge time series
Amber Ross, Craig D. Smith, and Alan Barr
Atmos. Meas. Tech., 13, 2979–2994, https://doi.org/10.5194/amt-13-2979-2020, 2020
The raw data derived from most automated accumulating precipitation gauges often suffer from non-precipitation-related fluctuations in the measurement of the gauge bucket weights from which the precipitation amount is determined. This noise can be caused by electrical interference, mechanical noise, and evaporation. This paper presents an automated filtering technique that builds on the principle of iteratively balancing noise to produce a clean precipitation time series.

Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS)

Atmos.Meas.Tech. discussions - Fri, 06/05/2020 - 19:07
Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS)
Dieter R. Poelman and Wolfgang Schulz
Atmos. Meas. Tech., 13, 2965–2977, https://doi.org/10.5194/amt-13-2965-2020, 2020
The objective of this work is to quantify the similarities and contrasts between the lightning observations from the Lightning Imaging Sensor (LIS) on the International Space Station (ISS) and the ground-based European Cooperation for Lightning Detection (EUCLID) network. This work is timely, given that the Meteosat Third Generation (MTG), which has a lightning imager (LI) on board, is going to be launched in 2 years.

An improved post-processing technique for automatic precipitation gauge time series

An improved post-processing technique for automatic precipitation gauge time series
Amber Ross, Craig D. Smith, and Alan Barr
Atmos. Meas. Tech., 13, 2979–2994, https://doi.org/10.5194/amt-13-2979-2020, 2020
The raw data derived from most automated accumulating precipitation gauges often suffer from non-precipitation-related fluctuations in the measurement of the gauge bucket weights from which the precipitation amount is determined. This noise can be caused by electrical interference, mechanical noise, and evaporation. This paper presents an automated filtering technique that builds on the principle of iteratively balancing noise to produce a clean precipitation time series.

Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS)

Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS)
Dieter R. Poelman and Wolfgang Schulz
Atmos. Meas. Tech., 13, 2965–2977, https://doi.org/10.5194/amt-13-2965-2020, 2020
The objective of this work is to quantify the similarities and contrasts between the lightning observations from the Lightning Imaging Sensor (LIS) on the International Space Station (ISS) and the ground-based European Cooperation for Lightning Detection (EUCLID) network. This work is timely, given that the Meteosat Third Generation (MTG), which has a lightning imager (LI) on board, is going to be launched in 2 years.

Unsupervised classification of snowflake images using a generative adversarial network and K-medoids classification

Unsupervised classification of snowflake images using a generative adversarial network and

Unsupervised classification of snowflake images using a generative adversarial network and K-medoids classification

Atmos.Meas.Tech. discussions - Fri, 06/05/2020 - 17:44
Unsupervised classification of snowflake images using a generative adversarial network and

Correcting high-frequency losses of reactive nitrogen flux measurements

Atmos.Meas.Tech. discussions - Fri, 06/05/2020 - 13:39
Correcting high-frequency losses of reactive nitrogen flux measurements
Pascal Wintjen, Christof Ammann, Frederik Schrader, and Christian Brümmer
Atmos. Meas. Tech., 13, 2923–2948, https://doi.org/10.5194/amt-13-2923-2020, 2020
With recent technological advances it is now possible to measure the exchange of trace gases between the land surface and the atmosphere. When using the so-called eddy-covariance method, certain corrections need to be applied to account for attenuation in the flux signal. These losses were found to be setup- and site-specific and can be up to 38 % for reactive nitrogen fluxes. We evaluated five different methods and recommend using an empirical version with locally measured cospectra.

Correcting high-frequency losses of reactive nitrogen flux measurements

Correcting high-frequency losses of reactive nitrogen flux measurements
Pascal Wintjen, Christof Ammann, Frederik Schrader, and Christian Brümmer
Atmos. Meas. Tech., 13, 2923–2948, https://doi.org/10.5194/amt-13-2923-2020, 2020
With recent technological advances it is now possible to measure the exchange of trace gases between the land surface and the atmosphere. When using the so-called eddy-covariance method, certain corrections need to be applied to account for attenuation in the flux signal. These losses were found to be setup- and site-specific and can be up to 38 % for reactive nitrogen fluxes. We evaluated five different methods and recommend using an empirical version with locally measured cospectra.

A novel injection technique: using a field-based quantum cascade laser for the analysis of gas samples derived from static chambers

Atmos.Meas.Tech. discussions - Thu, 06/04/2020 - 19:07
A novel injection technique: using a field-based quantum cascade laser for the analysis of gas samples derived from static chambers
Anne R. Wecking, Vanessa M. Cave, Lìyĭn L. Liáng, Aaron M. Wall, Jiafa Luo, David I. Campbell, and Louis A. Schipper
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-197,2020
Preprint under review for AMT (discussion: open, 0 comments)
Nitrous oxide (N

A novel injection technique: using a field-based quantum cascade laser for the analysis of gas samples derived from static chambers

A novel injection technique: using a field-based quantum cascade laser for the analysis of gas samples derived from static chambers
Anne R. Wecking, Vanessa M. Cave, Lìyĭn L. Liáng, Aaron M. Wall, Jiafa Luo, David I. Campbell, and Louis A. Schipper
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-197,2020
Preprint under review for AMT (discussion: open, 0 comments)
Nitrous oxide (N

Hydrologists show environmental damage from fog reduction is observable from outer space

GeoSpace: Earth & Space Science - Thu, 06/04/2020 - 18:11

It’s now possible to use satellite data to measure the threat of climate change to ecological systems that depend on water from fog, according to a newly-published study.

The paper, in the AGU journal Geophysical Research Letters, presents the first clear evidence that the relationship between fog levels and vegetation status is measurable using remote sensing. The discovery opens up the potential to easily and rapidly assess fog’s impact on ecological health across large land masses — as compared to painstaking ground-level observation.

“It’s never been shown before that you can observe the effect of fog on vegetation from outer space,” said Lixin Wang, an associate professor in the School of Science at Indiana University-Purdue University Indianapolis (IUPUI), who is the senior author on the study. “The ability to use the satellite data for this purpose is a major technological advance.”

Two satellite images show vegetation change from fog in two areas of the Namib desert. The left image shows the areas during periods of lower fog; the right image shows the areas during periods of higher fog. Greener areas inside the squares indicate vegetation greening. Image courtesy of Lixin Wang, Indiana University.

The need to understand the relationship between fog and vegetation is urgent since environmental change is reducing fog levels across the globe. The shift most strongly affects regions that depend upon fog as a major source of water, including the redwood forests in California, the Atacama desert in Chile and the Namib desert in Namibia, with the latter two currently recognized as World Heritage sites under the United Nations due to their ecological rarity.

“The loss of fog endangers plant and insect species in these regions, many of which don’t exist elsewhere in the world,” said Na Qiao, a visiting student at IUPUI, who is the study’s first author. “The impact of fog loss on vegetation is already very clear. If we can couple this data with large-scale impact assessments based on satellite data, it could potentially influence environmental protection policies related to these regions.”

Fog readings were taken at two weather stations near the Gobabeb Namib Research Institute in the Namib desert of Namibia. Photo courtesy of Lixin Wang, Indiana University.

The study is based on optical and microwave satellite data, along with information on fog levels from weather stations at two locations operated by the Gobabeb Namib Research Institute in the Namib desert. The satellite data was obtained from NASA and the U.S. Geological Survey. The fog readings were taken between 2015 and 2017.

At least once a year, Wang and student researchers, including both graduate and undergraduate students from IUPUI, travel to the remote facility — a two-hour drive on a dirt road from the nearest city — to conduct field research.

The study found a significant correlation between fog levels and vegetation status near both weather stations during the entire time of the study. Among other findings, the optical data from the site near the research facility revealed obvious signs of plant greening following fog, and up to 15 percent higher measures during periods of fog versus periods without fog.

Similar patterns were seen at the second site, located near a local rock formation. The microwave data also found significant correlation between fog and plant growth near the research facility, and up to 60 percent higher measures during periods of fog versus periods without fog.

Lixin Wang, left, and a colleague conduct water research in the Namib desert. Photo courtesy of Lixin Wang, Indiana University

The study’s conclusions are based on three methods of remotely measuring vegetation: two based on optical data, which is sensitive to the vibrance of greens in plants, and a third based on microwave data, which is sensitive to overall plant mass, including the amount of water in stems and leaves. Although observable by machines, the changes in vegetation color are faint enough to go undetected by the human eye.

Next, the team will build upon their current work to measure the effect of fog on vegetation over longer periods of time, which will assist with future predictions. Wang also aims to study the relationship in other regions, including the redwood forests in California.

“We didn’t even know you could use satellite data to measure the impact of fog on vegetation until this study,” he said. “If we can extend the period under investigation, that will show an even more robust relationship. If we have 10 years of data, for example, we can make future predictions about the strength of this relationship and how this relationship has been changing over time due to climate change.”

Additional authors were Wenzhe Jiao, a Ph.D. student at IUPUI, who made significant contributions to the satellite data processing, as well as Changping Huang and Lifu Zhang of the Chinese Academy of Science and Maggs-Kölling and Eugene Marais of the Gobabeb Namib Research Institute. Qiao is also a student at the Chinese Academy of Science.

This post was originally published on the Indiana University website.

The post Hydrologists show environmental damage from fog reduction is observable from outer space appeared first on GeoSpace.

Resolving the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK

Atmos.Meas.Tech. discussions - Wed, 06/03/2020 - 17:06
Resolving the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK
Grace C. E. Porter, Sebastien N. F. Sikora, Michael P. Adams, Ulrike Proske, Alexander D. Harrison, Mark D. Tarn, Ian M. Brooks, and Benjamin J. Murray
Atmos. Meas. Tech., 13, 2905–2921, https://doi.org/10.5194/amt-13-2905-2020, 2020
Ice-nucleating particles affect cloud development, lifetime, and radiative properties. Hence it is important to know the abundance of INPs throughout the atmosphere. Here we present the development and application of a radio-controlled payload capable of collecting size-resolved aerosol from a tethered balloon for the primary purpose of offline INP analysis. Test data are presented from four locations: southern Finland, northern England, Svalbard, and southern England.

Resolving the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK

Resolving the size of ice-nucleating particles with a balloon deployable aerosol sampler: the SHARK
Grace C. E. Porter, Sebastien N. F. Sikora, Michael P. Adams, Ulrike Proske, Alexander D. Harrison, Mark D. Tarn, Ian M. Brooks, and Benjamin J. Murray
Atmos. Meas. Tech., 13, 2905–2921, https://doi.org/10.5194/amt-13-2905-2020, 2020
Ice-nucleating particles affect cloud development, lifetime, and radiative properties. Hence it is important to know the abundance of INPs throughout the atmosphere. Here we present the development and application of a radio-controlled payload capable of collecting size-resolved aerosol from a tethered balloon for the primary purpose of offline INP analysis. Test data are presented from four locations: southern Finland, northern England, Svalbard, and southern England.

XCO2 estimates from the OCO-2 measurements using a neural network approach

Atmos.Meas.Tech. discussions - Tue, 06/02/2020 - 18:56
XCO2 estimates from the OCO-2 measurements using a neural network approach
Leslie David, Francois-Marie Bréon, and Frédéric Chevallier
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-177,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper shows that a Neural Network approach can be used to process spaceborne observations from the OCO-2 satellite and retrieve both the surface pressure and the atmospheric CO

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