Today, a billion people lack access to safe drinking water. Climate change, a host of
unsustainable practices, and emerging contaminants threaten to exacerbate the problem.
For the developing-world communities disproportionately affected, limited infrastructure and
resources often preclude the developed-world solutions. New technologies will be necessary.
Unfortunately, even mature technologies often fail in these settings. This work presents two
efforts: one to advance understanding of robust technical interventions and one to improve
water treatment technology for such settings.
In the Poshiir River watershed study, we built comparative case studies of single-village
piped-water drinking water schemes in rural Maharashtra. In-depth datasets were built from
direct technical observations, evaluation of records at national, district, and local levels, and
structured interviews with scheme users and administrators. Redundant information sources
were used to triangulate and assess confidence in our factual findings, which were formalized
in novel node-network models of each scheme-village pair. Hypotheses were developed and
mapped onto these networks via process tracing. We theorize that resilience of a scheme
is dependent on healthy, positive feedback loops within these social-technical networks. We
also took early steps toward typological theories on scheme failures.
In the course of the Poshiir study, we developed a method for rigorously and objectively
reconciling data from disparate sources. For a number of queries on a given topic, the
method takes the array of agreements and disagreements between all sources as inputs; it
generates most-probable values for the validity of each source's response, as well as mean
validities for the sources themselves. Early tests of the method with a verifiable dataset
provide meaningful results, and application to the Poshiir study have returned consistent
scores when assessing comparable cases. While further investigation is certainly required,
the method appears promising.
We also sought to improve the effective flow rate for capacitive deionization (CDI), a
treatment technology for removing ionic species from brackish water. We first proposed two
novel powering arrangements that would accomplish this by increasing effective ion mobility:
optimal powering profiles and pulse-charged CDI. We developed a theoretical model and
governing equations that would allow us to measure internal ion drift rates from externally
observable variables. We then designed, built, and tested a prototype CDI cell capable of operating
in either mode. We performed experimental work, as well as numerical simulations for
pulse-charged CDI over a range of realistic conditions, capturing a set of crucial timescales.
We find that practical restrictions required to avoid redox reactions in pulse-charged CDI
ensure that optimal powering profiles will always offer the greater benefit.
Providing safe drinking water access in the developing world will require a new generation
of technologies. These must be paired, however, with an improved understanding of how to
implement such projects, such that infrastructure proves resilient and impacts prove permanent.
I am optimistic that the work presented here may contribute, incrementally, to each
of these efforts.