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2021-10-27 EMC Agenda item 5-b(i) Identifying wastewater management tradeoffs ... in Kona, Hawaii (RG)
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2021-10-27 EMC Agenda item 5-b(i) Identifying wastewater management tradeoffs ... in Kona, Hawaii (RG)
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PLOS ONE <br />Identifying wastewater management tradeoffs in Kona, Hawai'i <br />of the model's detailed spatial results. To create the spider diagrams, each of four metrics <br />(N reduction, P reduction, potential change in marine habitat quality, present value cost) were <br />ranked ordinally for all scenarios except the current condition, as the current condition is the <br />base against which the nutrient and marine habitat results are compared. For each metric, the <br />scenario with the top ranked output was assigned a value of seven, the second ranked output <br />was assigned a value of six, and so forth. For a given scenario, scores for each metric were then <br />plotted on a set of concentric circles, where the innermost circle represents the minimum <br />score (one), the outermost circle represents the maximum score (seven), and each cardinal <br />direction represents one of the metrics being evaluated. The area of the polygon generated by <br />connecting the plotted points for each scenario represents an aggregate score that can be <br />directly compared. <br />A cost -benefit analysis was also undertaken, where benefits were measured in physical units <br />and costs in dollars, to further inform prioritization of the management scenarios. Simulated <br />N, P, and marine habitat quality for each management scenario were compared to the future <br />permitted scenario, and the difference was divided by the respective scenario's cost in order to <br />estimate the conservation benefit generated per million dollars spent on a particular manage- <br />ment action [60]. That is, each potential future was compared to the inaction scenario, wherein <br />future land development occurs but no action is taken to address the wastewater management <br />problem, to determine the return on investment (ROI) of each candidate management action. <br />As previously noted, caution is warranted when interpreting results generated using aggre- <br />gated values given the spatial nature of the management problem. However, ROI estimates <br />when viewed in conjunction with spatial impact maps and spider diagrams may allow for <br />more concrete policy recommendations. <br />3. Results <br />3.1 Groundwater & marine water quality <br />Groundwater nutrient concentrations vary in severity across the Keauhou basal aquifer. <br />Under present conditions, nutrient concentrations are highest surrounding the Kealakehe <br />WWTP (Figs 3A and 4A). Nutrient concentrations are also relatively elevated north and south <br />of the WWTP, in areas with high OSDS quantities. Under future permitted conditions, overall <br />nutrient concentrations generally increase, but the most significant change is around the <br />WWTP due to the drastic increase in nutrient mass load from the additional anticipated efflu- <br />ent discharge (Figs B and 41.1). If the WWTP is upgraded, however, the nutrient concentra- <br />tions surrounding the WWTP will decrease (Figs 3D and 411)). If OSDS are converted to high <br />efficiency ATU and septic units, lower nutrient concentrations are seen across the aquifer in <br />comparison to low efficiency conversions. This is particularly noticeable in areas located south <br />of the WWTP (Figs 3E 31E1 and 4F 41H). This is likely because a higher proportion of OSDS <br />south of the WWTP were assigned risk scores > 12, therefore being converted to ATU rather <br />than septic systems. <br />The higher number of SGD pourpoints representing prolific SGD springs to the south of <br />Kailua Kona and the WWTP results in more nutrient discharge along the southern coast. <br />Because of this spatial variation, upgrading the cesspools across the study area results in more <br />nutrient reduction along the southern coastline of the site and less along the northern coastline <br />(Figs 5E 51:1: and 6Ll , . 611:1). The nutrient load discharge reduction is lower under the target low <br />efficiency (Figs 51? and 6L.'.) compared to the target high efficiency scenario (Figs 5F and 6F). <br />Under both target low and high efficiency scenarios, the models show an increase in nutrient <br />load export downstream from the WWTP due to the increase in sewer connections assumed <br />for the permitted build out (Figs 5E 5F and 6F,..6F). When the WWTP is upgraded and <br />PLOS ONE I Ihuttlps://doaa .oirg/ 10.1371/�oauirirualll,lpoi ne,025712 a September 8, 2021 11 / 26 <br />
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