Laserfiche WebLink
PLOS ONE <br />Identifying wastewater management tradeoffs in Kona, Hawai'i <br />current paper were developed through an iterative discussion process with the CCWG with <br />the goal of generating research results that provide utility to decision makers. <br />The State Department of Health identified 6,500 cesspools in the coastal Kailua-Kona area <br />of Hawaii Island as having the potential to negatively impact sensitive coastal waters [24, 25]. <br />While not expected to pose a significant risk to drinking water sources, these cesspools were <br />identified as having negative impacts on nearshore marine water quality and linked groundwa- <br />ter -dependent ecosystems (GDE). GDEs have historically served as important sources of water <br />and food to Kona's coastal communities and continue to be highly valued today for their cul- <br />tural uses and provision of a wide variety of ecosystem services [26, 27]. The importance of <br />GDEs and the SGD that supports them is not unique to Hawaii, however, as a number of stud- <br />ies have documented the many societal values of these systems worldwide [28]. Thus, develop- <br />ing a framework to evaluate the potential impacts of land use and wastewater management <br />decisions on nearshore ecosystems will not only help to inform local policy, but will also have <br />broader applications for management and ecosystem implications. <br />To that end, this paper discusses a systems approach that was developed to link land use <br />decisions (development, water use, wastewater treatment), nutrient fate and transport pro- <br />cesses in groundwater, and nearshore marine health. Whereas a single model built for any of <br />these individual components would likely be sufficient to test various hypotheses about that <br />particular component, our developed ridge -to -reef approach provides a means for assessing <br />decisions that have cascading effects across multiple elements of the system. Several terrestrial <br />management scenarios are evaluated in terms of the nutrients nitrogen (N) and phosphorus <br />(P) discharged to nearshore waters, potential impacts to marine habitat quality, and costs. <br />Results are then presented in three ways: (1) maps that show the spatial distribution of impacts <br />for each scenario, (2) spider diagrams that illustrate tradeoffs between multiple management <br />objectives based on aggregated spatial outputs, and (3) a cost -benefit analysis, where benefits <br />are measured in physical units and costs in dollars. <br />2. Materials and methods <br />2.1 Study site description <br />The Keauhou aquifer (426 km2) encompasses the southern flank of Hualalai volcano, located <br />in the northern Kona district of Hawaii Island (Fig 1). Like most volcanic island aquifers, <br />groundwater is the major source of fresh drinking water for residents of the Kona community <br />[29]. The Keauhou aquifer has an anomalous hydraulic head gradient approximately six kilo- <br />meters inland, where water levels drastically increase from 1 m to > 100 m above mean sea <br />level. A geologic subsurface structure, referred to as the high -low divide, is believed to prevent <br />high-level groundwater from quickly flowing to the coast, therefore creating a productive <br />high-level aquifer that supplies approximately 25% of Kona's major pumping wells [30]. The <br />basal aquifer is considered to be the area where water levels are G5 m above mean sea level <br />(150 km2), extending from the high -low divide to the western coastline. <br />2.2 Modeling approach overview <br />The ridge -to -reef framework consists of three models coupled with an assessment of potential <br />impacts to the marine habitat (see Mekhods sections below for greater detail). F^ g 2 provides a <br />high-level graphical overview of how the different elements of the ridge -to -reef framework are <br />connected. Groundwater recharge (Fig 2A) [31] feeds into the groundwater model (Fig 213), <br />while land use and wastewater management scenarios (Fig 21)) are concurrently applied to the <br />groundwater model domain to generate groundwater nutrient concentrations (F'ig 2C) [32]. <br />Using the simulated nutrient concentrations [32] coupled with spatial information about <br />PLOSONE IIhu�t1lws://doaa.oirg/n0.t371/�OLuirirualll,lpoine,0257125 September8,2021 3/26 <br />