Intrinsic Dimensionality as a Metric for the Impact of Mission Design Parameters.

High-resolution space-based spectral imaging of the Earth's surface delivers critical information for monitoring changes in the Earth system as well as resource management and utilization. Orbiting spectrometers are built according to multiple design parameters, including ground sampling distance (GSD), spectral resolution, temporal resolution, and signal-to-noise ratio. Different applications drive divergent instrument designs, so optimization for wide-reaching missions is complex. The Surface Biology and Geology component of NASA's Earth System Observatory addresses science questions and meets applications needs across diverse fields, including terrestrial and aquatic ecosystems, natural disasters, and the cryosphere. The algorithms required to generate the geophysical variables from the observed spectral imagery each have their own inherent dependencies and sensitivities, and weighting these objectively is challenging. Here, we introduce intrinsic dimensionality (ID), a measure of information content, as an applications-agnostic, data-driven metric to quantify performance sensitivity to various design parameters. ID is computed through the analysis of the eigenvalues of the image covariance matrix, and can be thought of as the number of significant principal components. This metric is extremely powerful for quantifying the information content in high-dimensional data, such as spectrally resolved radiances and their changes over space and time. We find that the ID decreases for coarser GSD, decreased spectral resolution and range, less frequent acquisitions, and lower signal-to-noise levels. This decrease in information content has implications for all derived products. ID is simple to compute, providing a single quantitative standard to evaluate combinations of design parameters, irrespective of higher-level algorithms, products, applications, or disciplines.

Deposition of PFAS 'forever chemicals' on Mt. Everest.

Mt. Everest, one of the most coveted climbing mountains on earth, also contains the highest altitude chemical contamination on land. For the first time, meltwater and snow samples from Mt. Everest's Khumbu Glacier were analyzed for "forever chemicals" per- and polyfluoroalkyl substances (PFAS). Our research team utilized solid-phase extraction (SPE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify pollutants sampled from Everest Base Camp, Camp 1, Camp 2, and Everest Balcony. From the 14 PFAS compounds tested for, we found perfluorooctanesulfonic acid (PFOS), perfluorooctanoic acid (PFOA), and perfluorohexanoic acid (PFHxA) in Mt. Everest snow and meltwater. The highest concentrations found were 26.14 ng/L and 10.34 ng/L PFOS at Base Camp and Camp 2, respectively. However, PFAS species were seen within 1-2 orders of magnitude in all sampling sites with detection, potentially suggesting a widespread presence on the mountain. Our samples are the highest altitude PFAS samples ever retrieved and indicate the need for further sampling both on Mt. Everest and in the below-glacier watershed.

A screening-level approach to quantifying risk from glacial release of organochlorine pollutants in the Alaskan Arctic.

Widespread distribution of atmospherically mobilized organochlorine pollutants (OCPs) has been documented throughout the Arctic. A fraction of these OCPs have become entrained in glacial ice, and during melting, they can be released into downstream reservoirs. Though this remobilization is known, an assessment of risk from glacial meltwater to collocated human communities in the Arctic, including Alaska, had not been accomplished. Here, we use a screening-level risk assessment model for glacial watersheds, based on US Environmental Protection Agency (EPA) methodology, which we apply to the glaciated Jarvis Creek watershed of interior Alaska. Model results indicate that even with low levels of OCPs in glacial meltwater, high fish consumption by subsistence communities in the area increases the risk of cancer and hazard impacts above acceptable limits. Though this model is specific to one watershed, our results imply that further investigation of an increasing OCP signal in glacial meltwater and fish throughout the North American Arctic is warranted.

Quantitative screening level assessment of human risk from PCBs released in glacial meltwater: Silvretta Glacier, Swiss Alps.

Persistent organic pollutants (POPs) are entrained within glaciers globally, reemerging in many alpine ecosystems. Despite available data on POP flux from glaciers, a study of human health risk caused by POPs released in glacial meltwater has never been attempted. Glaciers in the European Alps house the largest known quantity of POPs in the Northern Hemisphere, presenting an opportunity for identification of potential risk in an endmember scenario case study. With methodology developed by the US Environmental Protection Agency (EPA), we provide a regional screening level human risk analysis of one class of POPs, polychlorinated-biphenyls (PCB) that have been measured in melt waters from the Silvretta Glacier in the Swiss Alps. Our model suggests the potential for both cancer and non-cancer impacts in residents with lifetime exposure to current levels of PCB in glacial meltwater and average consumption of local fish. For residents with an abbreviated 30-year exposure timeframe, the risk for cancer and non-cancer impacts is low. Populations that consume higher quantities of local fish are predicted to be at a greater risk, with risk to lifetime consumers higher by an order of magnitude. Based on the results of our screening study, we suggest that local government move to the next step within the risk assessment framework: local monitoring and management. Within the Alps, other glacial watersheds of a similar size and latitude may see comparable risk and our model framework can be adapted for further implementation therein.

Legacy organochlorine pollutants in glacial watersheds: a review.

Northern Hemisphere alpine glaciers have been identified as a point of concentration and reemergence of legacy organochlorine pollutants (OCPs). In this review, we compile a selection of published literature combining long-range, global atmospheric transport and distribution-based compartmental environmental flux models, as well as data from glacial meltwater, ice core, crevasse and proglacial lake sediment studies. Regional studies of ice and meltwater in alpine glaciers of the northern latitudes show similarities in sample deposition profiles and concentration due to chemical atmospheric residence time, precipitation type and glacier flow rates. In glaciated locations near areas of extensive OCPs use, such as the Swiss and Italian Alps, glacier sample concentrations are higher, while in areas more distant from use, including Arctic nations, OCPs concentrations in glaciers are significantly lower. Our review identifies alpine glaciers co-located with regions characterized by OCPs use as a significant organochlorine pollutant distribution source, secondary in timing and location to direct deposition, with subsequent bioaccumulation and potential human risk impacts.

The CEFP. Implications for public health education and training.

The 300-year history of the American academy outlines many of the contemporary pressures that are shaping the modern university. Faculty members need to balance the expectations of teaching, research, and service to amass a dossier that will lead to tenure. The academy needs to offer curricula that prepare graduates to enter the work force. Administrators need to encourage strong community ties to convince benefactors to invest in the renovation and expansion of university facilities. These pressures are especially acute in academic public health. The public health research agenda has extended from the study of infectious disease into behavioral risk and chronic disease. Schools of public health struggle to link curriculum, research, and service that will educate students, advance scholarship, and develop community interaction for the prevention of disease and the promotion of health. The Collaborative Evaluation Fellows Project provides a mechanism for the convergence and resolution of these pressures facing schools of public health.

Predicting breast-feeding intention among low-income pregnant women: a comparison of two theoretical models.

This study examined the applicability of the transtheoretical model and a model derived from the theory of reasoned action for predicting breast-feeding intention among low-income pregnant women. Participants completed a 70-item self-report questionnaire assessing their breast-feeding attitudes, intentions, and support. A positive correlation existed between Stages of Change for breast-feeding and the number of Processes of Change used by respondents. A negative correlation existed between Stages of Change for breast-feeding and the number of negative breast-feeding beliefs held by respondents. Furthermore, women's normative beliefs and outcome beliefs were significantly correlated with breast-feeding intention in manners consistent with the model developed from the theory of reasoned action. After accounting for significant sociodemographic and lifestyle factors, the Processes of Change and outcome beliefs remained independently correlated with breast-feeding intention. These models are capable of predicting the intention to breast-feed and might offer an innovative approach for further breast-feeding research and intervention development.

Intention to breastfeed in low-income pregnant women: the role of social support and previous experience.

BACKGROUND: The purpose of this study was to describe the relationship between breastfeeding intention among socioeconomically disadvantaged pregnant women and maternal demographics, previous breastfeeding experience, and social support. METHODS: A cross-sectional, convenience sampling strategy was employed for data collection. Low-income women (n = 1001) in a public hospital completed a six-page questionnaire about their infant feeding plans, demographics, and social support. Simple regression analyses were conducted to compare maternal breastfeeding intention with the hypothesized correlates. RESULTS: Breastfeeding intention was positively correlated with older maternal age, higher education, more breastfeeding experience, Hispanic ethnicity, and hearing about breastfeeding benefits from family members, the baby's father, and lactation consultants, but not from other health professionals. Health professionals' attitudes were less influential on women's infant feeding decisions than the attitudes and beliefs of members of women's social support networks. When controlling for breastfeeding experience (none vs any), some findings, varied, indicating a need for breastfeeding interventions tailored to women's level of experience. CONCLUSION: Use of peer counselors and lactation consultants, inclusion of a woman's family members in breastfeeding educational contacts, and creation of breastfeeding classes tailored to influential members of women's social support networks may improve breastfeeding rates among low-income women, especially those with no breastfeeding experience, more effectively than breastfeeding education to pregnant women that is solely conducted by health professionals.