<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JWARP</journal-id><journal-title-group><journal-title>Journal of Water Resource and Protection</journal-title></journal-title-group><issn pub-type="epub">1945-3094</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jwarp.2022.141003</article-id><article-id pub-id-type="publisher-id">JWARP-114758</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  An Assessment of Water Quality Parameters at the Cerrillos Reservoir, Ponce, Puerto Rico in the Aftermath of Hurricane Maria
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yashira</surname><given-names>Marie Sánchez-Colón</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Javier</surname><given-names>Alejandro Chévere-Del Río</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nichole</surname><given-names>Marie Sánchez-Guzmán</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fred</surname><given-names>Charles Schaffner</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>School of Science and Technology, Universidad Ana G Méndez, Gurabo Campus, Gurabo, Puerto Rico</addr-line></aff><aff id="aff1"><addr-line>Public Health Program, Ponce Health Sciences University, Ponce, Puerto Rico</addr-line></aff><aff id="aff2"><addr-line>Puerto Rico Department of Health, San Juan, Puerto Rico</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>01</month><year>2022</year></pub-date><volume>14</volume><issue>01</issue><fpage>35</fpage><lpage>49</lpage><history><date date-type="received"><day>21,</day>	<month>December</month>	<year>2021</year></date><date date-type="rev-recd"><day>18,</day>	<month>January</month>	<year>2022</year>	</date><date date-type="accepted"><day>21,</day>	<month>January</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Maintaining the water quality of lakes and reservoirs is part of the 2030 Agenda for Sustainable Development, an initiative promoted by the United Nations, including anthropogenic and natural factors that may influence water quality. The water reservoirs of Puerto Rico were built in watersheds to provide runoff control and for primary uses. The Cerrillos Reservoir is one of the largest water reservoirs in southern Puerto Rico, and is used as a source of potable water and for recreational activities. After hurricane Maria, in September 2017, many communities were without public water service and have obtained their drinking water from local rivers or their tributaries, without filtration or purification treatment. This research explored the physical-chemical parameters of Cerrillos Reservoir’s surface water from May 2018 to January 2019. The objective of the present study is to assess seasonal variations in surface water quality with respect to physical (temperature, turbidity, and conductivity), chemical (nutrient concentrations: (Phosphorus (P) (Soluble Reactive Phosphorus, phosphate, or orthophosphate) and Nitrogen (N) (nitrate, nitrite, and ammonia)), pH, and dissolved oxygen), and biological (total coliforms and 
  <em>Escherichia coli</em>) parameters. Results suggest that Cerrillos Reservoir did not exceed the parameters of temperature, turbidity, conductivity, pH and DO, established by the Puerto Rico Department of Natural and Environmental Resources (PRDNER). The reservoir showed a stable trophic state in relation to inorganic phosphorus and nitrogen as N and P concentrations did not increase sufficiently to disrupt this ecosystem. However, total coliforms exceeded the maximum parameter (23 MPN/100mL - 994 MPN/100mL) established for the Puerto Rico Department of Natural and Environmental Resources and are likely to be the results of the disruption caused by hurricane Maria.
 
</p></abstract><kwd-group><kwd>Cerrillos Reservoir</kwd><kwd> Water Quality</kwd><kwd> Puerto Rico</kwd><kwd> Post Hurricane Maria</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Surface waters (lakes, reservoirs, rivers, oceans, and creeks) are protected by the US federal Clean Water Act in order to mitigate the degradation of the water quality of United States. The Clean Water Act requires each state to submit a report (305(b)) about the quality of the state’s surface and groundwater and a state’s list (303(d)) of impaired and threatened waters to the Environmental Protection Agency, every two years. Surface water quality is impacted by both natural and anthropogenic activities that can affect biological and physico-chemical properties of water. Physico-chemical parameters include pH, color, odor, taste, heavy metals, nutrient concentrations (phosphorus and nitrogen), sulphate concentrations, cations and anions, temperature, conductivity, hardness, turbidity, total dissolved solids (TDS), acidity, chemical oxygen demand (COD), biological oxygen demand (BOD) and dissolved oxygen (DO) [<xref ref-type="bibr" rid="scirp.114758-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref2">2</xref>]. Biological contamination includes pathogenic bacteria, viruses and parasites that can cause various water-borne diseases like diarrhea, cholera, malaria, skin diseases, typhoid, dysentery, giardia, hepatitis, dysentery, bacillus, schistosomiasis, gastrointestinal disease, respiratory conditions, and others [<xref ref-type="bibr" rid="scirp.114758-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref3">3</xref>].</p><p>Anthropogenic factors that influence water quality include domestic sewage, deforestation, industrialization, mining, pesticides, herbicides and fertilizers, plastics and polyethene bags, population growth, urbanizations, weak management system (e.g., toxic waste disposal, sewage leakages, oil spillage and drilling activities) [<xref ref-type="bibr" rid="scirp.114758-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref5">5</xref>]. Natural factors that influence water quality include geology, vegetation, morphology and catchment characteristics, atmospheric deposition associated with precipitation and weathering process [<xref ref-type="bibr" rid="scirp.114758-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref5">5</xref>].</p><p>The 2030 United Nations Agenda for Sustainable Development [<xref ref-type="bibr" rid="scirp.114758-ref6">6</xref>] contains 17 Sustainable Development Goals (SDGs), and of these, SDG Goal 6 “Clean Water and Sanitation” focuses on the role of water and sanitation in the development of economic, social, and environmental dimensions [<xref ref-type="bibr" rid="scirp.114758-ref7">7</xref>]. The actions to achieve the sustainable development of surface freshwater, mainly lakes and reservoirs, strongly interlink with nine SDGs (Goal 1: No poverty; Goal 2: End hunger; Goal 3: Good health and well-being; Goal 6: Clean Water and Sanitation; Goal 7: Affordable and clean energy; Goal 8: Decent work and economic growth; Goal 13: Climate action; Goal 14: Life below water; and Goal 15: Life on land) [<xref ref-type="bibr" rid="scirp.114758-ref7">7</xref>].</p><p>Lakes are naturally occurring low points in the landscape that contain standing water, predominantly in the form of year-round open water habitat [<xref ref-type="bibr" rid="scirp.114758-ref8">8</xref>]. While reservoirs are defined as any human-made lake whether it be embedded within a river network or not and may or may not have an outflow control structures or a dam [<xref ref-type="bibr" rid="scirp.114758-ref8">8</xref>]. Reservoirs provide multiple benefits to society, allowing power generation, providing biodiversity, and enhancing recreation opportunities, navigation, and offering protection against damaging floods because they regulate river flow and domestic, industrial and irrigation use [<xref ref-type="bibr" rid="scirp.114758-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref8">8</xref>] due to their storage function. Reservoirs are constructed with a dam for storing water during rainy seasons and use it in the drought seasons [<xref ref-type="bibr" rid="scirp.114758-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref10">10</xref>] in response to water crises, but this infrastructure will alter the status of rivers by changing their connectivity and flow regime [<xref ref-type="bibr" rid="scirp.114758-ref11">11</xref>].</p><p>Climate change is one important factor that affect the aquatic ecosystem functioning, because it impacts the hydrologic regime and changes air temperature [<xref ref-type="bibr" rid="scirp.114758-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref12">12</xref>], and therefore water temperature. Variations in water temperature change most physical, chemical, and biological properties of water [<xref ref-type="bibr" rid="scirp.114758-ref13">13</xref>].</p><p>Hurricane Maria was a category 5 hurricane that devastated Puerto Rico in September 2017. After hurricane Maria, many communities in Puerto Rico were without public water service and obtained their drinking water directly from local lakes, reservoirs, rivers or their tributaries without any filtration or purification treatment, increasing the conditions related to unclear water, such as vomiting, diarrhea, conjunctivitis, scabies, asthma, and leptospirosis [<xref ref-type="bibr" rid="scirp.114758-ref14">14</xref>]. Sewage treatment plants were out of service allowing the leaching of raw sewage or other contamination into drinking water resources [<xref ref-type="bibr" rid="scirp.114758-ref15">15</xref>].</p><p>In the watershed of our study site, the Cerrillos Reservoir (Lago Cerrillos) in southern Puerto Rico about 6 km northeast of the municipality of Ponce, for example, the potential sources of pollution are agriculture, minor industrial point source, collection system failure, onsite wastewater systems, urban runoff and storm sewers and surface mining [<xref ref-type="bibr" rid="scirp.114758-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.114758-ref17">17</xref>]. The Puerto Rico Department of Natural and Environmental Resources (PRDNER) establishes Water Quality Standards (WQS) for the waters of Puerto Rico according to the designated uses to be protected.</p><p>Water quality data for this site before hurricane Maria in September of 2017 are scarce. However, from February to December 2010, Cerrillos Reservoir presented the following water quality: 28.2˚C for temperature, 8.61 mg/L for dissolved oxygen (DO), 24.2 NTU for turbidity, 8.5 for pH, 197.9 &#181;S/cm for conductivity and had overall very low nutrient concentrations [<xref ref-type="bibr" rid="scirp.114758-ref18">18</xref>]. The Puerto Rico 2016 305(b) and 303(d) Integrated Report suggested that the causes of impairment at the Cerrillos Reservoir were low dissolved oxygen and pH [<xref ref-type="bibr" rid="scirp.114758-ref16">16</xref>], and excessive coliforms were not reported.</p><p>From October to December 2017, faculty and students from the Public Health Program at Ponce Health Sciences University in Ponce, Puerto Rico, provided educational interventions to improve people’s understating of key concepts after a disaster or emergency. The educational interventions included information about water management and disinfection, handling, and use of a water purification system for disaster relief, personal hygiene, hand washing, and proper handling of food safety and sanitation. Until December 2017, we had impacted around 2871 people (including 20 communities, 10 shelters and 19 schools), mainly from the southern region of Puerto Rico. Also, we analyzed total coliforms and Escherichia coli (E. coli) in water surface (rivers or their tributaries) of communities without public water service. In May 2018, we began regular monitoring to assess the water quality of Cerrillos Reservoir.</p><p>The Objective of the present work is to assess seasonal variations in surface water quality with respect to physical (temperature, turbidity, and conductivity), chemical (nutrient concentrations: (Phosphorus (P) (Soluble Reactive Phosphorus, phosphate, or orthophosphate) and Nitrogen (N) (nitrate, nitrite, and ammonia)), pH, and dissolved oxygen), and biological (total coliforms and Escherichia coli) parameters and thereby characterize conditions at Cerillos Reservoir in the aftermath of hurricane Maria.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Description of the Study Site</title><p>Cerrillos Reservoir is one of the largest reservoirs in south Puerto Rico. It is used for drinking water, recreational activities and provides flood control. Cerrillos Reservoir dam is situated in the municipality of Ponce in southern Puerto Rico (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The construction of the Cerrillos dam began in 1984 and was</p><p>completed in 1991 by the US Army Corp of Engineers [<xref ref-type="bibr" rid="scirp.114758-ref19">19</xref>]. The dam is a rockfill structure with a height of 98.45 meters and a length of 473.96 meters [<xref ref-type="bibr" rid="scirp.114758-ref19">19</xref>]. The reservoir receives streamflow from the Cerrillos River and an unnamed creek that enters Cerrillos Reservoir [<xref ref-type="bibr" rid="scirp.114758-ref19">19</xref>]. Cerrillos Reservoir had an original storage capacity of 38.03 million cubic meters at maximum conservation pool elevation of 174.65 meters above mean sea level and a drainage area of 174.65 square kilometers [<xref ref-type="bibr" rid="scirp.114758-ref19">19</xref>]. The available capacity of this reservoir is rapidly diminishing due to sedimentation.</p></sec><sec id="s2_2"><title>2.2. Sampling and Processing</title><p>Water samples were collected in triplicate at surface from the inlet, center, and outlet of the Cerrillos Reservoir (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The inlet corresponded to the entry point of the main river that provides water to the Cerrillos Reservoir. The center was located at a midpoint of the reservoir, at the deepest part of the reservoir. The outlet was located near the dam. Sampling occurred once or twice per month from May 2018 to January 2019. Phosphorus (P) (Soluble Reactive Phosphorus (SRP)), Nitrogen (N) (nitrate ( NO 3 − ), nitrite ( NO 2 − ) and ammonia (NH<sub>3</sub>)), temperature (˚C), turbidity (cm), conductivity (&#181;S/cm), pH and dissolved oxygen (DO, mg/L) were measured in the field for each sampling event. Instruments used to measure these parameters were a HACH SL1000 portable colorimeter for SRP, NO 3 − , NO 2 − , NH<sub>3</sub>, and pH; HACH 2100Q for turbidity. Temperature, conductivity and DO were determined with a YSI 556 Water Quality Sonde. A Garmin GOS Oregon 650T was used for sample site identification.</p><p>Rainfall data were recorded from June 2018 to January 2019 with a rain gauge located at the Department of Natural and Environmental Resources office at the Cerrillos Reservoir. All samples for biological parameters (total coliforms and Escherichia coli) were collected in glass bottles and stored at a low temperature and analyzed within 24 hours using the Colilert test and Quanti-Tray System. The most probable number (MPN) was determined for total coliforms while E. coli was assessed as presence/absence.</p></sec><sec id="s2_3"><title>2.3. Statistical Analyses</title><p>Mean SRP, nitrate, nitrite, ammonia, temperature, turbidity, conductivity, pH and DO values were calculated for each sample (triplicate sampling, n = 3 for each sample). ANOVA (Analyses of Variance) was used to determine significant differences between SRP, nitrate, nitrite, ammonia, temperature, turbidity, conductivity, pH and DO for the three sampling points of Cerrillos Reservoir. Pearson Correlation analyses were used to evaluate the possible correlations of SRP, nitrate, nitrite, ammonia, total coliforms with rainfall one week and two weeks prior sample collection. We also used Pearson Correlation to evaluate the possible relation of total coliforms with nutrient concentrations. Results were considered significant when a p-value was less than 0.05.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Rainfall Conditions</title><p>Monthly rainfall (mm) for Cerrillos Reservoir recorded from June 2018 to January 2019 (<xref ref-type="fig" rid="fig2">Figure 2</xref>) indicated heavy rainfall during the month of August and allowed identification of specific rainfall events that occurred one and two weeks prior to water sample collection.</p></sec><sec id="s3_2"><title>3.2. Temperature, Turbidity, Conductivity, pH, and Dissolved Oxygen</title><p>Physicochemical parameters (<xref ref-type="table" rid="table1">Table 1</xref>) at Cerrillos Reservoir showed significant differences between temperature and turbidity for the three sampling points at the Cerrillos Reservoir (One Way ANOVA: p = 0.000 and p = 0.005, respectively) (<xref ref-type="table" rid="table2">Table 2</xref>). The inlet had the highest turbidity (6.1 NTU) and the lowest</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Means of physicochemical parameters monitored from 15 May 2018 to 23 Jan 2019 at Cerrillos reservoir</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Location</th><th align="center" valign="middle"  colspan="6"  >Physicochemical parameters</th></tr></thead><tr><td align="center" valign="middle" >Temp (˚C)<sup>a</sup></td><td align="center" valign="middle" >Turbidity (NTU)<sup>b</sup></td><td align="center" valign="middle" >Conductivity (&#181;S/cm)<sup>c</sup></td><td align="center" valign="middle" >pH<sup>d</sup></td><td align="center" valign="middle" >DO (mg/L)<sup>e</sup></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Inlet</td><td align="center" valign="middle" >25.0 &#177; 2.2</td><td align="center" valign="middle" >6.1 &#177; 3.5</td><td align="center" valign="middle" >241 &#177; 41</td><td align="center" valign="middle" >6.6 &#177; 4.1</td><td align="center" valign="middle" >7.5 &#177; 0.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Center</td><td align="center" valign="middle" >27.8 &#177; 0.6</td><td align="center" valign="middle" >2.5 &#177; 1.3</td><td align="center" valign="middle" >249 &#177; 53</td><td align="center" valign="middle" >7.7 &#177; 1.3</td><td align="center" valign="middle" >7.5 &#177; 1.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Outlet</td><td align="center" valign="middle" >27.7 &#177; 0.7</td><td align="center" valign="middle" >2.7 &#177; 1.9</td><td align="center" valign="middle" >259 &#177; 15</td><td align="center" valign="middle" >7.8 &#177; 1.1</td><td align="center" valign="middle" >7.1 &#177; 1.0</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>(<sup>a</sup>) Temp: Temperature was measured with a YSI 556 Water Quality Sonde; (<sup>b</sup>) Turbidity: The turbidity was determined with a HACH 2100Q; (<sup>c</sup>) Conductivity: Conductivity was determined with a YSI 556 Water Quality Sonde; (<sup>d</sup>) pH: pH was determined with a HACH SL1000; (<sup>e</sup>) DO: Dissolved oxygen was determined with a YSI 556 Water Quality Sonde.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> ANOVA for physicochemical parameters (temperature, turbidity, conductivity, pH, and dissolved oxygen) for the three sampling points of Cerrillos reservoir F and p values determined via ANOVA</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="5"  >Physicochemical parameters</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Temp (˚C)</td><td align="center" valign="middle" >Turbidity (NTU)</td><td align="center" valign="middle" >Conductivity (&#181;S/cm)</td><td align="center" valign="middle" >pH</td><td align="center" valign="middle"  colspan="2"  >DO (mg/L)</td></tr><tr><td align="center" valign="middle" >ANOVA</td><td align="center" valign="middle" >F = 11.80, p = 0.000</td><td align="center" valign="middle" >F = 6.68, p = 0.005</td><td align="center" valign="middle" >F = 0.89, p = 0.423</td><td align="center" valign="middle" >F = 2.67, p = 0.090</td><td align="center" valign="middle"  colspan="2"  >F = 0.52, p = 0.602</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>temperature (25.0˚C). For conductivity, pH and DO there were no significant differences between sampling points (One Way ANOVA: p = 0.423, p = 0.090 and p = 0.602, respectively). Values for pH are considered optimal (according to regulatory guidelines) on all but two occasions, when the pH at the inlet sampling point was extremely acid (5.7 (July 24, 2018) and 1.6 (August 22, 2018)). Mean DO for the three sampling points ranged from 5.0 to 8.9 mg/L. Mean temperatures for all locations ranged from 23.0˚C to 28.6˚C, and conductivity ranged from 172 to 271 (&#181;S/cm).</p></sec><sec id="s3_3"><title>3.3. Phosphorus (P) and Nitrogen (N) Concentrations in the Cerrillos Reservoir</title><p>SRP (Soluble Reactive Phosphorus) ranged between 37 &#181;g/L and 243 &#181;g/L (<xref ref-type="fig" rid="fig3">Figure 3</xref>). SRP showed significant differences for the three sampling points (One Way ANOVA: p = 3.94 and p = 0.028, respectively) (<xref ref-type="table" rid="table3">Table 3</xref>). Nitrite concentrations were below the HACH SL1000 range (0.005 - 0.6 mg/L or 5 - 600 &#181;g/L), except for one occasion in the center of Cerrillos Reservoir (May 15, 0.334 &#181;g/L). Nitrate and ammonia ranged between 0 &#181;g/L to 6417 &#181;g/L and 50 &#181;g/L to 540 &#181;g/L, respectively (<xref ref-type="fig" rid="fig4">Figure 4</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>). For 10 samples, ammonia concentrations were below the instrument’s (HACH SL1000) range (0.05 - 1.5 mg/L or 50 - 1500 &#181;g/L). Neither nitrate nor ammonia showed significant differences for the three sampling points (One Way ANOVA: p = 0.14 and p = 0.057) (<xref ref-type="table" rid="table3">Table 3</xref>). We do not have nitrate data for May 15 and May 29.</p></sec><sec id="s3_4"><title>3.4. Phosphorus (P), Nitrogen (N), and Total Coliforms Linkage with Heavy Rainfall Precipitation Events</title><p>Neither SRP nor ammonia were significantly correlated with rainfall events at Cerrillos Reservoir (inlet, center, outlet) (<xref ref-type="table" rid="table4">Table 4</xref>). Nitrate at the outlet was significantly correlated with rainfall both one week before sampling, and two weeks before sampling (r = 0.859, p = 0.000 for one week and r = 0.798, p = 0.001 for two weeks, respectively) (<xref ref-type="table" rid="table4">Table 4</xref>). Total coliforms at inlet, center and outlet were not significantly (p &gt; 0.05) correlated with rainfall at one or two weeks prior to sample collection.</p></sec><sec id="s3_5"><title>3.5. Total Coliforms and E. coli</title><p>Mean concentrations of total coliforms range between 23 MPN/100 and 994</p><p>MPN/100 (<xref ref-type="table" rid="table5">Table 5</xref>). All water samples showed presence of E. coli (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec><sec id="s3_6"><title>3.6. Total Coliforms Linkage with Nutrient Concentrations</title><p>Total coliforms were not significantly correlated with SRP, nitrate or ammonia (p &gt; 0.05 for each, <xref ref-type="table" rid="table6">Table 6</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Physico-Chemical Parameters</title><p>Before hurricane Maria devasted Puerto Rico, the Puerto Rico 2016 305(b) and 303(d)Integrated Report indicated that the Cerrillos Reservoir was impaired by low dissolved oxygen and pH [<xref ref-type="bibr" rid="scirp.114758-ref16">16</xref>].</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> ANOVA for SRP, nitrate, and ammonia for the three sampling points of Cerrillos reservoir. F and p values determined via ANOVA</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Nutrients</th></tr></thead><tr><td align="center" valign="middle" >SRP</td><td align="center" valign="middle" >Nitrate ( NO 3 − )</td><td align="center" valign="middle" >Ammonia (NH<sub>3</sub>)</td></tr><tr><td align="center" valign="middle" >ANOVA</td><td align="center" valign="middle" >F = 3.94, p = 0.028</td><td align="center" valign="middle" >F = 2.07, p = 0.140</td><td align="center" valign="middle" >F = 3.09, p = 0.057</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Correlations (r) of Soluble Reactive Phosphorus (SRP), nitrate ( NO 3 − ), ammonia (NH<sub>3</sub>), total coliforms at the Cerrillos Reservoir with rainfall events</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Rainfall</th><th align="center" valign="middle" >SRP<sup>a</sup></th><th align="center" valign="middle" >Nitrate ( NO 3 − )</th><th align="center" valign="middle" >Ammonia (NH<sub>3</sub>)</th><th align="center" valign="middle" >Total Coliforms</th></tr></thead><tr><td align="center" valign="middle" >One week prior</td><td align="center" valign="middle" >r<sup>b</sup> = 0.266, p<sup>c</sup> = 0.357</td><td align="center" valign="middle" >r = 0.103, p = 0.727</td><td align="center" valign="middle" >r = −0.201, p = 0.490</td><td align="center" valign="middle" >r = 0.518, p = 0.233</td></tr><tr><td align="center" valign="middle" >Two weeks prior</td><td align="center" valign="middle" >r = 0.217, p = 0.457</td><td align="center" valign="middle" >r = 0.046, p = 0.877</td><td align="center" valign="middle" >r = −0.211, p = 0.470</td><td align="center" valign="middle" >r = 0.414, p = 0.356</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Center</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >One week prior</td><td align="center" valign="middle" >r = 0.091, p = 0.756</td><td align="center" valign="middle" >r = −0.010, p = 0.972</td><td align="center" valign="middle" >r = 0.065, p = 0.826</td><td align="center" valign="middle" >r = −0.158, p = 0.738</td></tr><tr><td align="center" valign="middle" >Two weeks prior</td><td align="center" valign="middle" >r = 0.101, p = 0.732</td><td align="center" valign="middle" >r = −0.080, p = 0.785</td><td align="center" valign="middle" >r = 0.236, p = 0.417</td><td align="center" valign="middle" >r = −0.098, p = 0.834</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Outlet</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >One week prior</td><td align="center" valign="middle" >r = −0.117, p = 0.691</td><td align="center" valign="middle" >r = 0.859, p = 0.000</td><td align="center" valign="middle" >r = −0.002, p = 0.993</td><td align="center" valign="middle" >r = −0.212, p = 0.648</td></tr><tr><td align="center" valign="middle" >Two weeks prior</td><td align="center" valign="middle" >r = −0.141, p = 0.631</td><td align="center" valign="middle" >r = 0.798, p = 0.001</td><td align="center" valign="middle" >r = 0.332, p = 0.246</td><td align="center" valign="middle" >r = −0.160, p = 0.731</td></tr></tbody></table></table-wrap><p><sup>a</sup>Soluble Reactive Phosphorus; <sup>b</sup>Pearson correlation coefficient; <sup>c</sup>p-value for the correlation.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Mean of total coliforms</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Sampling</th><th align="center" valign="middle"  colspan="2"  >Mean of MNP<sup>a</sup>/100</th></tr></thead><tr><td align="center" valign="middle" >Total Coliforms</td><td align="center" valign="middle" >E. coli Presence (+)/Absence (−)</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >994</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" >6</td><td align="center" valign="middle" >367</td><td align="center" valign="middle" >+</td></tr><tr><td align="center" valign="middle" >7</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >+</td></tr></tbody></table></table-wrap><p><sup>a</sup>Most probable number.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Correlations of total coliforms with nutrient concentrations</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Bacteriological Parameters</th><th align="center" valign="middle"  colspan="3"  >Correlations</th></tr></thead><tr><td align="center" valign="middle" >SRP<sup>a</sup></td><td align="center" valign="middle" >Nitrate (NO<sub>3</sub><sup>-</sup>)</td><td align="center" valign="middle" >Ammonia (NH<sub>3</sub>)</td></tr><tr><td align="center" valign="middle" >Total Coliforms</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Inlet</td><td align="center" valign="middle" >r<sup>b</sup> = −0.518, p<sup>c</sup> = 0.234</td><td align="center" valign="middle" >r = −0.327, p = 0.474</td><td align="center" valign="middle" >r = −0.346, p = 0.447</td></tr><tr><td align="center" valign="middle" >Center</td><td align="center" valign="middle" >r = 0.131, p = 0.779</td><td align="center" valign="middle" >r = −0.123, p = 0.793</td><td align="center" valign="middle" >r = 0.614, p = 0.142</td></tr><tr><td align="center" valign="middle" >Outlet</td><td align="center" valign="middle" >r = 0.186, p = 0.689</td><td align="center" valign="middle" >r = −0.521, p = 0.230</td><td align="center" valign="middle" >r = 0.161, p = 0.730</td></tr></tbody></table></table-wrap><p><sup>a</sup>Soluble Reactive Phosphorus; <sup>b</sup>Pearson correlation coefficient; <sup>c</sup>p-value for the correlation.</p><p>During our study, Cerrillos Reservoir did not exceed the parameters of temperature (22.7˚C - 28.6˚C), turbidity (1.0 NTU - 10.2 NTU), pH (1.6 - 8.37) nor DO (5.0 to 8.9 mg/L), established by the Puerto Rico Department of Natural and Environmental Resources (PRDNER). Water Quality Standards Regulations set by the PRDNER establish limits for surface waters to not exceed 30˚C of temperature, not exceed 50 NTU for turbidity, maintain a pH range of 6.0 to 9.0 and a DO of 5 mg/L or more [<xref ref-type="bibr" rid="scirp.114758-ref20">20</xref>]. PRDNER does not establish limits for conductivity but if for TDS (not exceed 500 mg/L).) Conductivity increases with increasing ion content, which means that in most cases it provides a good approximation of TDS using the conversion factor of 1 mg/L (ppm) = 2 &#181;S/cm [<xref ref-type="bibr" rid="scirp.114758-ref21">21</xref>]. Thus, the conversion of conductivity to TDS revealed a range of 121 mg/L (ppm) to 130 mg/L (ppm), which does not exceed the limit of 500 mg/L.</p><p>SRP (inorganic P) ranged between 37 &#181;g/L and 243 &#181;g/L in the reservoir’s surface water. Under natural conditions SRP concentrations usually are equivalent to about 5% - 20% of total P concentration [<xref ref-type="bibr" rid="scirp.114758-ref22">22</xref>]. Total phosphorus concentrations include organic and inorganic P. Total phosphorus shall not exceed 26 &#181;g/L in any reservoir or lake according to PRDNER [<xref ref-type="bibr" rid="scirp.114758-ref20">20</xref>]. Thus, we conclude that Cerrillos Reservoir showed a general behavior of eutrophic/hypereutrophic because total phosphorus concentrations of eutrophic and hypereutrophic lakes are between 30 to 100 &#181;g/L and &gt; 100 &#181;g/L, respectively [<xref ref-type="bibr" rid="scirp.114758-ref22">22</xref>].</p><p>Nitrate concentrations ranged between 0 &#181;g/L to 6417 &#181;g/L, and nitrite concentrations were below the instrument’s (0.005 - 0.6 mg/L or 5 - 600 &#181;g/L), except for one occasion in the reservoir’s (May 15, 0.334 &#181;g/L). Nitrite concentrations in the reservoir are low, and the presence of high dissolved oxygen (DO) may be oxidizing to nitrate. Ammonia range between 50 &#181;g/L to 540 &#181;g/L, respectively. In general, the level of lake productivity due to inorganic nitrogen includes ultra-oligotrophic (&lt;200 &#181;g/L), oligo-mesotrophic (200 - 400 &#181;g/L), meso-eutrophic (300 - 650 &#181;g/L), eutrophic (500 - 1500 &#181;g/L) and hypereutrophic (&gt;1500 &#181;g/L) [<xref ref-type="bibr" rid="scirp.114758-ref22">22</xref>]. Cerrillos Reservoir showed a general behavior of meso-eutrophic/eutrophic in relation with inorganic nitrogen. However, on two occasions we observed concentrations above 1500 &#181;g/L (or hypereutrophic) for inorganic nitrogen. Sources of nitrogen in surface water include: 1) precipitation falling directly onto the lake surface, 2) nitrogen fixation both in the water and the sediments, and 3) inputs from surface and groundwater surface [<xref ref-type="bibr" rid="scirp.114758-ref22">22</xref>].</p><p>N and P concentrations in Cerrillos Reservoir were not sufficient to disrupt the balance of this ecosystem. This lake does not experience algal blooms, excessive aquatic plant growth or oxygen depletion. The deep lakes are less productive [<xref ref-type="bibr" rid="scirp.114758-ref23">23</xref>] and the hydrodynamic allowing the transport of sediments, toxics, and nutrients through Cerrillos Reservoir Lake geometry, vertical stratification, hydrological conditions, and meteorological conditions are factors that can influence the balance of ecosystems [<xref ref-type="bibr" rid="scirp.114758-ref23">23</xref>].</p><p>Reservoirs can be classified as riverine, transition and lacustrine zones [<xref ref-type="bibr" rid="scirp.114758-ref23">23</xref>]. The riverine zone is narrow, well mixed and shallow allowing an aerobic environment [<xref ref-type="bibr" rid="scirp.114758-ref23">23</xref>]. Also, in this zone advective forces transport significant quantities of finer particles, sediments, toxic substances and nutrients and light penetration is minimal [<xref ref-type="bibr" rid="scirp.114758-ref23">23</xref>]. In our study, the inlet (or the riverine zone) receives the input of the main river that provides water to the Cerrillos Reservoir, so it is expected that the natural flow regime affects other environmental factors including pH, turbidity, temperature and SRP.</p></sec><sec id="s4_2"><title>4.2. Biological Parameters</title><p>The total coliforms exceeded (23 MPN/100mL - 994 MPN/100mL) the parameter established for the Puerto Rico Water Quality Standards (PRWQS). For total coliforms, the PRWQS establishes that the median of the waters taken sequentially, shall not exceed 14MPN/100mL, and not more than 10 percent of the samples shall exceed 43 MPN/100mL [<xref ref-type="bibr" rid="scirp.114758-ref20">20</xref>]. Total coliform concentrations are considered to be hygiene indicators and in surface water imply the presence of bacterial genera Enterobacter, Escherichia, Klebsiella, and Citrobacter among others [<xref ref-type="bibr" rid="scirp.114758-ref24">24</xref>]. All water samples showed presence of E. coli, an indicator of recent fecal pollution [<xref ref-type="bibr" rid="scirp.114758-ref25">25</xref>] that can cause human diseases. Although, total coliforms were not significantly (p &gt; 0.05) correlated with nutrients (SRP, nitrate and ammonia) it is important to note that the nutrients dissolved in the water help the microorganisms synthetize their main biomolecules, obtain energy and growth. After hurricane Maria, many reports presented an increase in conditions related to untreated water, including vomits, diarrhea, conjunctivitis, scabies, asthma, and leptospirosis [<xref ref-type="bibr" rid="scirp.114758-ref14">14</xref>].</p></sec><sec id="s4_3"><title>4.3. Phosphorus (P), Nitrogen (N) and Total Coliforms in Relation to Rainfall</title><p>SRP, ammonia and total coliforms were not significantly (p &gt; 0.05) correlated with rainfall events at Cerrillos Reservoir (inlet, center, outlet). During the study, Cerrillos Reservoir and its surrounding did not receive extreme precipitation events (more than 78 mm of rain per 24 hours in Puerto Rico (3 inches/24hours) [<xref ref-type="bibr" rid="scirp.114758-ref26">26</xref>]. Nitrate at the outlet was significantly correlated with both rainfall at one week before sampling, and two weeks before sampling (r = 0.859, p = 0.000 for one week and r = 0.798, p = 0.001 for two weeks, respectively) due to nitrates are characterized by a high degree of mobility.</p><p>After hurricane Maria, the Puerto Rico 2018 305(b) and 303(d) Integrated Report presented that the causes of impairment at the Cerrillos Reservoir were low dissolved oxygen and Total Phosphorus [<xref ref-type="bibr" rid="scirp.114758-ref27">27</xref>]. The same report for 2020, added Total Nitrogen to the list of causes of impairment at the reservoir [<xref ref-type="bibr" rid="scirp.114758-ref17">17</xref>]. We conclude that after hurricane Maria, nutrient (phosphorus and nitrogen) concentrations at Cerrillos Reservoir have increased.</p></sec></sec><sec id="s5"><title>5. Conclusions</title><p>In this work, 3 monitoring sites were sampled from May 2018 to January 2019 in the Cerrillos Reservoir, Puerto Rico, with the objective of determining the water quality and the temporal and spatial variations of water quality variables including temperature, turbidity, conductivity, pH, dissolved oxygen, phosphorus (P) or Soluble Reactive Phosphorus (SRP), nitrogen (N) (nitrate, nitrite, and ammonia) and biological parameters (total coliforms and Escherichia coli). Analyses suggested that Cerrillos Reservoir has normal conditions of temperature, turbidity, conductivity, pH, and dissolved oxygen. Current P and N concentrations are high, but the lake does not show symptoms of eutrophication.</p><p>Water quality, in terms of DO, has likely improved temporary in the aftermath of the hurricane. However, total coliforms exceeded the maximum levels (23 MPN/100mL - 994 MPN/100mL) established for the PRWQS as a consequence of the hurricane. Non-compliant coliform levels were not known prior to hurricane Maria, and therefore, we surmise that these high coliform levels are the result of the abrupt inflow of water to the reservoir from both stream flow and overland flow. In the case of coliforms, inputs of may include coliforms from disrupted septic systems as well as animal coliforms in overland flow from pastures (livestock, probably cattle). These disruptive impacts of the hurricane are a public health concern because the local human population has both primary and secondary contact with rivers, and reservoir’s water and may still use it as a source of untreated drinking water. These disruptions may be temporary and will dissipate (or will already dissipate) or may continue.</p><p>Further investigation of Cerrillos Reservoir should be conducted and strengthened by sampling during at least one (annual) seasonal cycle. Such study also should compare the water quality of the two main tributaries that enter the reservoir, which lie in different catchment areas and conditions in southern Puerto Rico. Such studies may determine whether the disruption caused by the hurricane was temporary or the beginning of a new and ongoing trend. Also, we can investigate the potential sources of coliforms using caffeine as a possible indicator of human versus animal inputs.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We thank the many people contributed to this study during the fieldwork, laboratory analysis and data processing. We thank to Kiara Reyes, Kelvin Torres, Delimay Amaro and Antonio Salas for help in the lab and the field. We also wish to thank the Seed Money Program at Ponce Health Sciences University for providing materials, laboratory facilities and work/study opportunities for student dedication in this project. Thanks so much to EPA Caribbean Science Consortium for the availability of water sampling equipment. We also thank Mr. Gaspar Pons, Management Officer of the Natural Reserve of the Cerrillos Reservoir for assistance in the sampling process.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflict of interest.</p></sec><sec id="s8"><title>Cite this paper</title><p>S&#225;nchez-Col&#243;n, Y.M., R&#237;o, J.A.C.-D., S&#225;nchez-Guzm&#225;n, N.M. and Schaffner, F.C. (2022) An Assessment of Water Quality Parameters at the Cerrillos Reservoir, Ponce, Puerto Rico in the Aftermath of Hurricane Maria. 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