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nesanders committed Oct 20, 2023
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2 changes: 1 addition & 1 deletion docs/_posts/2023-02-04-eea-dp-cso-ej_modeling.md
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Expand Up @@ -4,7 +4,7 @@ title: Modeling diagnostics for "Revisiting the environmental justice implicatio
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This page provides modeling diagnostics for the analysis presented in ["% post_title 2023-02-04-eea-dp-cso-ej %"]({% post_url 2023-02-04-eea-dp-cso-ej %}). For an explaination of the statistical methodologies underlying the analysis, see ["Data analysis methodology for 'Environmental justice implications of CSO outfall distribution'"]({% post_url 2019-03-23-necir-cso-ej_modeling %}).
This page provides modeling diagnostics for the analysis presented in ["Revisiting the environmental justice implications of CSOs with 2022 data"]({% post_url 2023-02-04-eea-dp-cso-ej %}). For an explanation of the statistical methodologies underlying the analysis, see ["Data analysis methodology for 'Environmental justice implications of CSO outfall distribution'"]({% post_url 2019-03-23-necir-cso-ej_modeling %}).

The plots below illustrate the functional form of the fitted model for each EJ indicator. A sample of random draws from the Markov Chain posterior are shown in red. The actual watershed data points are shown in blue, colored according to the watershed population used to weight the model fit.

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4 changes: 2 additions & 2 deletions docs/_posts/2023-10-20-eea-dp-cso-ej.md
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Expand Up @@ -4,15 +4,15 @@ title: The first year of data from MA's new sewage pollution notification system
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*This background information is largely repeated from our earlier post, ["% post_title 2023-02-04-eea-dp-cso-ej %"]({% post_url 2023-02-04-eea-dp-cso-ej %})*
*This background information is largely repeated from our earlier post, ["Revisiting the environmental justice implications of CSOs with 2022 data"]({% post_url 2023-02-04-eea-dp-cso-ej %})*

In 2018, AMEND [featured]({% post_url 2018-04-25-necir-cso-ej %}) the first analysis of the distributional impacts of [combined sewer overflows (CSOs)](https://www.epa.gov/npdes/combined-sewer-overflows-csos) in Massachusetts, demonstrating that there were severe inequities in the extent to which different communities are burdened with sewage pollution based on race, language isolation, and income. This work was later published in the journal [Media and Communication](https://doi.org/10.17645/mac.v7i3.2136).

The analysis in 2018 was limited to [CSO data from 2011]({{ site.url }}{{ site.baseurl }}/data/NECIR_CSO.html) collected at that time by the [New England Center for Investigative Reporting](https://www.necir.org/). Data from other years were not previously available.

In 2021, Massachusetts [enacted a new law](https://malegislature.gov/Laws/SessionLaws/Acts/2020/Chapter322), the [Sewage Notification Act](https://www.wbur.org/news/2021/01/06/cso-notification-bill-sewage-river-baker), which [requires public notification](https://www.mass.gov/regulations/314-CMR-1600-notification-requirements-to-promote-public-awareness-of-sewage-pollution) of CSO discharges. This law generated a new data resource, a table in the [MA EEA Data Portal]({{ site.url }}{{ site.baseurl }}/data/EEADP_all.html) for CSO discharge events.

The availability of this new dataset allows us to revisit the distributional impacts of CSO discharges in MA a decade after the dataset collected by NECIR in 2011. In our earlier post, ["% post_title 2023-02-04-eea-dp-cso-ej %"]({% post_url 2023-02-04-eea-dp-cso-ej %}), we explored the first six months of data reported through this platform. In this post, we update that analysis to report on the first full year (actually, the first 15 months) of sewage pollution data using the same methodology.
The availability of this new dataset allows us to revisit the distributional impacts of CSO discharges in MA a decade after the dataset collected by NECIR in 2011. In our earlier post, ["Revisiting the environmental justice implications of CSOs with 2022 data"]({% post_url 2023-02-04-eea-dp-cso-ej %}), we explored the first six months of data reported through this platform. In this post, we update that analysis to report on the first full year (actually, the first 15 months) of sewage pollution data using the same methodology.

The [environmental justice data used in this analysis]({{ site.url }}{{ site.baseurl }}/data/EPA_EJSCREEN.html) comes from the [US EPA EJSCREEN tool](https://www.epa.gov/ejscreen/what-ejscreen) (2023 demographics). Latitude and longitude coordinates for the CSO outfalls were retrieved from [a state publication](https://www.mass.gov/doc/permittee-and-outfall-lists/download), also [archived on this site]({{ site.url }}{{ site.baseurl }}/data/ma_permittee-and-outfall-lists.xlsx). Both the EJ SCREEN and CSO data are available in the [{{ site.data.site_config.site_abbrev }} database]({{ site.url }}{{ site.baseurl }}/data/index.html)

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2 changes: 1 addition & 1 deletion docs/_posts/2023-10-20-eea-dp-cso-ej_modeling.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ title: Modeling diagnostics for "The first year of data from MA's new sewage pol
ancillary: 1
---

This page provides modeling diagnostics for the analysis presented in ["% post_title 2023-02-04-eea-dp-cso-ej %"]({% post_url 2023-10-20-eea-dp-cso-ej %}). For an explaination of the statistical methodologies underlying the analysis, see ["Data analysis methodology for 'Environmental justice implications of CSO outfall distribution'"]({% post_url 2019-03-23-necir-cso-ej_modeling %}).
This page provides modeling diagnostics for the analysis presented in ["The first year of data from MA's new sewage pollution notification system"]({% post_url 2023-10-20-eea-dp-cso-ej %}). For an explaination of the statistical methodologies underlying the analysis, see ["Data analysis methodology for 'Environmental justice implications of CSO outfall distribution'"]({% post_url 2019-03-23-necir-cso-ej_modeling %}).

The plots below illustrate the functional form of the fitted model for each EJ indicator. A sample of random draws from the Markov Chain posterior are shown in red. The actual watershed data points are shown in blue, colored according to the watershed population used to weight the model fit.

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