RUDN Journal of Ecology and Life Safety
Вестник РУДН. Серия: Экология и безопасность жизнедеятельности
ISSN 2313-2310 (Print); ISSN 2408-8919 (Online) 2022 Vol. 30 No. 4 459-474
http://journals.rudn.ru/ecology
DOI: 10.22363/2313-2310-2022-30-4-459-474 UDC 504.4.062.2
Research article / Научная статья
Water budget of a Ramsar site in Ecuador
Priscila Jackeline Arias Ordonez1 E3, Carlos Vladimir Suasnavas Lagos1'2 , Marianna D. Kharlamova1 , Winston Rodolfo Arias Ordonez1
1Peoples' Friendship University of Russia (RUDN University), Moscow, Russian Federation Moscow University named after A.S. Griboedov, Moscow, Russian Federation
Abstract. Wetlands have been degrading and disappearing due to several anthropogenic impacts, such as pollution by discharge of domestic and industrial wastewater, agricultural runoff, land conversion, etc. The assessment and forecast of hydrological processes in wetlands, namely inflows and outflows, is essential for developing and implementing plans aimed at managing and protecting wetlands areas. We estimated the water budget of a Ramsar site, La Tembladera wetland, for a two-year period (2018-2019) by using the water balance method. The evapotranspiration was calculated using the Thornthwaite method and the runoff was estimated using the Curve Number method. The proposed water balance model showed that the major inflows to the wetland were the San Agustín and Bellavista canals, and Estero Pinto, about 92.9% (2018) and 90.5% (2019) of the total inflows. The runoff and wastewater flows represented the minor inflows. The runoff was 0.003% in 2018 and 0.004% in 2019, whereas the wastewater volume accounted for 0.05% of all inflows in both years. The actual evapotranspiration was the major outflow in both years, being 67.1% (2018) and 73.6% (2019) of the total outflows. On the other hand, the irrigation canal was the minor outflow, 32.9% in 2018 and 26.4% in 2019. Therefore, La Tembladera wetland hydrology is mostly linked to the canals system and climate conditions, precipitation and actual evapotranspiration. Our findings could be the basis for further research and developing plans in order to rationally manage and protect this wetland of international importance.
Keywords: water balance, wetland hydrology, wetland management, tropical wetland, La Tembladera
Authors' contributions: P.J. Arias Ordonez - conceptualization, methodology, investigation and writing - original draft preparation; P.J. Arias Ordonez and C.V. Suasnavas Lagos - formal analysis and writing - review and editing; M.D. Kharlamova - critical review; W.R. Arias Ordonez - data visualization.
Article history: received 15.04.2022; revised 10.09.2022; accepted 16.09.2022.
© Arias Ordonez P.J., Suasnavas Lagos C.V., Kharlamova M.D., Arias Ordonez W.R., 2022
B® © This work is licensed under a Creative Commons Attribution 4.0 International License _ _*MiJhttps://creativecommons.org/licenses/by-nc/4.0/legalcode
For citation: Arias Ordonez PJ, Suasnavas Lagos CV, Kharlamova MD, Arias Ordonez WR. Water budget of a Ramsar site in Ecuador. RUDN Journal of Ecology and Life Safety. 2022;30(4):459-474. http://doi.org/10.22363/2313-2310-2022-30-4-459-474
Водный баланс Рамсарского объекта в Эквадоре
П.Х. Ариас Ордоньес1 И, К.В. Суаснавас Лагос1'2 , М.Д. Харламова1 , В.Р. Ариас Ордоньес1
1 Российский университет дружбы народов, г. Москва, Российская Федерация 2Московский университет имени А. С. Грибоедова, Москва, Российская Федерация
Аннотация. Водно-болотные угодья подвергаются деградации и исчезновению в результате антропогенного воздействия, такого как загрязнение бытовыми и промышленными сточными водами, загрязнение сельскохозяйственными стоками, преобразование земель и т. д. Оценка и прогноз гидрологических процессов водно-болотных угодий, а именно притоков и оттоков, необходимы для разработки и внедрения проектов, направленных на управление и охрану водно-болотных угодий. Был проведен расчет водного баланса водно-болотного угодья La Tembladera за двухлетный период (2018 и 2019 гг.) с использованием метода водного баланса. Эвапотранспирация была оценена по методу Thornthwaite, а ливневые стоки по методике «Число кривых стока». Предложенная модель водного баланса показала, что основные притоки в водно-болотное угодье приходятся на каналы San Agustín и Bellavista, а также на Estero Pinto, около 92,9 % (2018 г.) и 90,5 % (2019 г.) от общего объема притоков. Наименьшими притоками являлись ливневой сток и сточные воды. Ливневые стоки составили 0,003 % в 2018 г. и 0,004 % в 2019 г. Объем сточных вод составил 0,05 % от всех притоков в оба года. Выявлено, что фактическая эвапотранспирация является основным оттоком, составляя 67,1 % (2018 г.) и 73,6 % (2019 г.) от общего объема оттоков. Вместе с тем наименьший отток принадлежит каналу для орошения, он составил 32,9 % в 2018 г. и 26,4 % в 2019 г. Таким образом, гидрология водно-болотного угодья La Tembladera в основном связана с системой каналов и климатическими условиями, осадками и фактической эвапотранспирацией. Полученные результаты могут стать основой для дальнейших исследований и разработки проектов по рациональному природопользованию и охране данного объекта международного значения.
Ключевые слова: водный баланс, гидрология водно-болотных угодий, управление водно-болотными угодьями, тропическое водно-болотное угодье, La Tembladera
Вклад авторов: П.Х. Ариас Ордоньес - концепция, методология, исследование и написание текста статьи; К.В. Суаснавас Лагос и П.Х. Ариас Ордоньес - обработка данных и их интерпретация, критический анализ и редактирование текста статьи; М.Д. Харламова — критический анализ; В.Р. Ариас Ордоньес - визуализация данных.
История статьи: поступила в редакцию 15.04.2022; доработана после рецензирования 10.09.2022; принята к публикации 16.09.2022.
Для цитирования: Arias Ordonez P.J., Suasnavas Lagos C.V., Kharlamova M.D., Arias Ordonez W.R. Water budget of a Ramsar site in Ecuador // Вестник Российского университета дружбы народов. Серия: Экология и безопасность жизнедеятельности. 2022. Т. 30. № 4. С. 459-474. http://doi.org/10.22363/2313-2310-2022-30-4-459-474
Introduction
Wetlands play an important role in water quality enhancement, wildlife habitat, water retention during storms, shoreline protection, carbon storage, and providing cultural and recreational resources [1-4]. Unfortunately, wetland areas have been degrading and disappearing rapidly. They are often subjected to several anthropogenic impacts, such as direct discharge of domestic and industrial wastewater, agricultural runoff and sewage, land conversion, pollution, overgrazing, and future degradation is expected to continue [5-9].
Analyzing wetland water inflows and outflows components (i.e. water budget) is essential for understanding how wetlands respond to variations in flows and environmental conditions and how these changes influence the biota, nutrients concentration and distribution, organic matter, soil biochemistry, sediments and physicochemical parameters of the water [10-12]. This analysis allows to assess and forecast wetlands behavior in terms of quantity in order to develop and implement plans for managing and protecting wetlands [13] by the governments, decision-makers and ecologists.
Ecuador has 19 wetlands that belong to the Ramsar convention, they possess international status for protection and rational use of their resources [14]. La Tembladera wetland is one of these Ramsar sites since 2011 [15]. This unique ecosystem is located in the coast region of Ecuador and is mainly used for cattle grazing, short-cycle crops, pasture grasses and recreational activities [15; 16]. Besides, La Tembladera is the habitat for 43 plants species, 80 waterfowl birds, 14 fish species, 8 reptiles and 20 mammals. It harbors vulnerable and endangered species and 24 waterfowl endemic species [15]. However, this ecosystem is also facing pressure from anthropogenic activities, specifically, domestic wastewater discharge, agricultural runoff, discharge of urine and faeces produced by Brahman and Brownsuiz cattle, and water control structures (i.e. dams and canals) [16]. These factors influence the quality and quantity of the hydrologic variables as well as the ecological functioning of the wetland [17]. Despite the recognition of La Tembladera as a Ramsar site, studies aimed at the assessment of hydrologic variables are scarce. In general, hydrology research is a complex task due to the various processes involved [18; 19] and the lack of financial support for investigating and estimating all processes that control wetland hydrologic behavior. Low scientific productivity is a crucial issue that affects most of the developing countries in Latin America, including Ecuador because of the economy instability and other factors [20].
The empirical water balance method can be a feasible tool for assessing wetlands hydrologic balance because requires available input data, such as hydro-
meteorological data and parameters representing the soil and vegetation characteristics of aquatic ecosystems catchments. This method is simple and widely applied [6; 18; 21-23]. Thus, the present study proposes a water budget estimation during a two-year period in La Tembladera wetland by using the water balance method.
Materials and methods
Study site
La Tembladera wetland is a continental-type freshwater wetland located in the southwestern coast of Ecuador, canton Santa Rosa, province El Oro (3° 29' 26" S, 79° 59' 43" W; 12-18 m a.s.l) (Figure 1). The region has a tropical climate, which is characterized by a wet season (winter) and a dry season (summer). The average annual precipitation is 250-500 mm. The air temperature ranges between 24°C and 26°C [15].
The water body area occupies 1,471.19 ha, its permanent water area is 104 ha. The flooded area depends on the season, the water surface may reach 188 ha during the wet season, and the land surface 1,199 ha. The wetland monthly average water temperature is 25.82°C. During the wet season, the wetland annual average flow rate is 14.50 m3/s, the monthly maximum is 61.0 m3/s and the minimum 0.20 m3/s. The flow rate is usually 0 m3/s during the dry season [15].
Pacaya Samina
Figure 1. The location of La Tembladera wetland in Ecuador (left) and the wetland area boundaries (right)
La Tembladera wetland (Figure 2) belongs to the life zone Tropical Spiny Mountain (Monte Espinoso Tropical). For much of the year the wetland water table is near the land surface, hence the vegetation is adapted to moisture conditions, for instance, water lettuce (Pistia stratiotes), water hyacinth (Eichhornia crassipes), common cattail (Typha latifolia) and white lotus (Nymphaea lotus) [25].
Figure 2. North side of La Tembladera wetland in April 2019
Water budget
The water balance of wetlands depends on interactions among inflows and outflows, showing the changes in the surface-water volume for a given period time. Hence, the basic mass balance equation, is used to express the hydrologic processes in a wetland and it is often referred to as a water budget. The water balance was estimated for two years (2018 and 2019) using the general water mass balance equation [26]:
AdV/At = P + Qin + GWi -ET -Q0-GW0
where AdV/At is the volume of water storage per unit of time; P the precipitation; Qin the surface inflows from rivers, streams, marine sources, etc.; GWi the groundwater inflows; ET the evapotranspiration; Qo the surface outflows; and GWo the groundwater outflows.
Concerning the surface inflows, La Tembladera wetland receives freshwater from the Santa Rosa and Arenillas rivers, which are connected with the wetland through a system of canals and gates: the Bellavista canal, San Agustín canal and the Estero Pinto [27]. Regarding the surface outflows, the wetland supplies water for agricultural purposes through several canals of irrigation, and the excess of water is drained through the Negrito and Huásimo canals [24]. The inflows data from the Bellavista canal, San Agustín canal, Estero Pinto, and the outflow data from one of the irrigation canals were taken from [24] and the average monthly values are presented in Table 1. The San Agustín and the irrigation canals have irregular flows due to the gates manipulation by the farmers [24]. The canals were considered as partially open. The outflows from the Negrito and Huásimo canals and all the irrigation canals were not included due to the lack of data.
Table 1. Canals inflows and outflows
Bellavista canal, San Agustín canal, m3/month Estero Pinto, Irrigation canal, m3/month
m3/month Open Partially open m3/month Open Partially open
9.6x106 61.57x106 3.6x106 1.06x105 34.27x106 3.1x106
Temperature and Precipitation (P)
Temperature and precipitation data from January 2018 to December 2019 were obtained from the National Institute for Meteorology and Hydrology of Ecuador (Instituto Nacional de Meteorología e Hidrología, INAMHI). These data were collected from La Cuca Meteorological station (6 km from La Tembladera wetland) and were used to estimate the potential evapotranspiration, actual evapotranspiration, runoff from rainfall and infiltration.
Estimation of potential evapotranspiration (PET)
The Thornthwaite method is a temperature-based method and was used for the PET calculation since depends on air temperature records that are, commonly, available data [28]:
1. To calculate Potential Evapotranspiration (PET), the Monthly Thornthwaite Heat Index (i) estimation is obtained using the following formula:
f 1.514
where t is mean monthly temperature.
2. Annual Heat Index (I) was calculated as the sum of the Monthly Heat Indices (i):
12 i=1
3. Potential Evapotranspiration (PET) estimation was obtained for each month applying the equation:
_ /10 x t\a
PET^gn corrected) -161 J I
where PET non corrected is the monthly potential evapotranspiration, considering a month is 30 days long and there are 12 theoretical sunshine hours per day, mm/month; t is the average monthly air temperature, °C; I the Annual Heat Index; a the cubic function of I and was calculated with the following equation:
a = (675 • 10-9 • /3) - (771 • 10-7 • /2) + (1792 • 10-5 • /) + 0.49239.
The a value ranges from 0 to 4.25 and the Annual Heat Index I varies from 0 to 160.
4. Finally, the average monthly potential evapotranspiration was corrected using the formula:
_ N d
P^^(corrected) corrected) ^ 12 ^ 30
where N is the theoretical sunshine hours for each month and d the number of days for each month.
Estimation of actual evapotranspiration (AET)
The Thornthwaite method [29] was used to determine the AET. Monthly temperature, monthly precipitation and water holding capacity of the soil were required. Since La Tembladera wetland is characterized by sandy clay loam soils [30], then the water holding capacity of 160 mm was considered [24]. Furthermore, the following parameters were calculated:
• Soil water storage (R), whose calculation begins with the first humid month and the previous month receives null reserve (0). The soil storage for the next months was estimated using the equation [31]:
Ri =Ri+ (P- PET)
where Ri is the soil storage of the current month and Ri-1 is the soil storage of the previous month. If the result is more than 160 mm, then Ri = 160 mm and the rest is transferred to the water surplus. If Ri varies between 0 and 160 mm, it takes that result; and if the result is less than 0, Ri = 0 and the result goes to water deficit.
• Change in soil water storage (AR) for each month was calculated according to:
AR = Ri- Ri_v
Finally, the AET was established for each month considering the following: The estimation began with the first month of the hydrological year, i.e. the first month in which P > ETP. This is after the period in which ETP > P. When P > ETP, then AET = ETP, indicating that there is no water deficiency and if P < ETP, then AET = P + AR, demonstrating thus water deficiency.
Runoff from rainfall
The Curve Number method (CN), developed by the Soil Conservation Service (SCS), U.S. Department of Agriculture, was used to estimate the volume of runoff [32]. This method is commonly applied [19; 33-35] because it's easy to understand and considers all the important factors, which influence runoff volume: soil type, land use, hydrologic condition, and antecedent moisture condition [36].
The SCS runoff equation is:
(P + la)2
Q = (P-lo)+S (1)
where Q is the runoff (mm), P is the rainfall (mm), S the potential maximum retention after runoff begins (mm) and Ia the initial abstraction (mm). Ia is determined by the following formula:
Ia = 0,2 x S. (2)
By removing Ia as an independent parameter, this approximation allows use of a combination of S and P to produce a unique runoff amount. Substituting equation 2 into equation 1 gives:
(0,2 + S)2
Q=~-—.
v P + 0,8 S
S is related to the soil and cover conditions of the watershed through the CN. CN has a range of 0 to 100, and S is related to CN by:
1000 S = 10.
CN
The hydrologic soil group and land cover type of the study area were determined in order to calculate the CN. According to [30; 37] La Tembladera wetland soils belong to the group C, sandy clay loam, and the mainly land cover types in the area are pasture, grassland, row crops, woods and urban area. The appropriate CN value was estimated using the corresponding tables [32] and weighted CN value of the whole catchment was computed manually using the equation:
CNw=%CNixAi/A
where CNw is the weighted curve number; CNi the curve number from 1 to any number N; Ai the area with curve number CNi; and A the total area of the watershed (km2).
Infiltration
The infiltration was determined considering precipitation (P), actual evapotranspiration (AET) and runoff (R) [22]:
Qin = P- (AET + R).
Domestic wastewater flow The average domestic wastewater flow was calculated using the equation
[38]:
Pop xLxR Qdw = - i-
where Pop is the population, L is the per capita water consumption (L/inhab*day) and R the sewage flow/water flow return coefficient. Typical return coefficient
values range between 60 and 100%, a value of 80% (R = 0.8) is usually adopted. The water consumption data was provided by The National Water Secretariat of Ecuador (Secretaria Nacional del Agua, SENAGUA) [39].
Microsoft Excel for Windows 10 was used for statistical data processing and graphing.
Results and discussion
Meteorological conditions
The average annual air temperature during the two-year period was 24.7 and 25.2 °C, respectively (Figure 3). The total precipitation was 430.5 mm and
587.7 mm, respectively. The second year was warmer and wetter than the previous year. Most of the precipitation fell during the wet season (222.6 mm in 2018 and
549.8 mm in 2019) and the summer was the driest period (207.9 mm in 2018 and 37.9 mm in 2019) (Figure 3). The distribution of precipitation displays the dry-wet annual cycle typical of the region, showing abrupt low precipitation at the end of the wet season during 2018 and high precipitation at the beginning of the dry season (Figure 3, a).
a b
160 140 120 100 80 60 40 20 0
■8 Ph
a
<
M ft
3 u < M
>
o £
80 250
70
200
60
50 150
40
30 100
20
50
10
0 0
■8 fe
M ft
3 u < M
80 70 60 50 40 30 20 10 0
> o O u
£ Q
Monthly precipitation Monthly temperature
Monthly precipitation Monthly temperature
Figure 3. Precipitation (mm/month) and temperature (°C) at La Tembladera wetland region during the two-year period: 2018 (a) - 2019 (b)
Potential and actual evapotranspiration
The total PET estimated was of 1339.3 mm and 1417.5 mm in 2018 and 2019, respectively. During 2018, the highest and lowest PET occurred in March (143.3 mm) and August (87.2 mm), respectively (Figure 4, a). During 2019 (Figure 4, b), the highest and lowest PET occurred in March (149.9 mm) and September (80.6 mm).
160 140 120 100 80 60 40 20
0 Jan —Д— —ж—
Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
-±-P 33.7 136.7 45.7 6.5 127.3 9.6 11.8 6.2 6.2 6.4 6.2 34.2
-•-PET 136 121.5 143.3 141.6 123.4 95 88.6 87.2 87.6 90.5 102.9 [21.7
-♦-AET 33.7 121.5 60.9 6.5 123.4 13.5 11.8 6.2 6.2 6.4 6.2 34.2
240
200
160
120
80
40
0 Jan Feb Mar Apr Jun Jul Aug Oct Nov Dec
91.6 111.6 122.2 224.4 0.2 0 0 0 0 7.8 5.8 24.1
-♦-PET 140.8 132 149.9 146.7 144.3 Î 18.5 97.4 80.9 80.6 100.2 103.8 122.4
AET 91.6 1 11.6 122.2 146.7 77.9 0 0 0 0 7.8 5.8 24.1
Figure 4. Monthly precipitation P(mm), potential évapotranspiration PET and actual évapotranspiration AET(mm) at La Tembladera wetland during the study period: 2018 (a) - 2019 (b)
The calculated AET was 430.5 mm and 587.7 mm for each year or 100% of measured precipitation in both years. That is, the actual evapotranspiration equals precipitation, evidencing dry conditions. This is in line with the bioclimate map of the Ministry of Environment, Water and Ecological Transition of Ecuador [40] that determined the bioclimate of La Tembladera wetland region as xeric. Since the
а
actual évapotranspiration is based on the precipitation rate, the low precipitation values during the dry season thus influenced the obtained results. In 2018, the months of the lowest AET were August, September, October and November (less than 6.4 mm for each month), whereas the month of the highest AET was May with 123.4 mm (Figure 4, a). During 2019, June, July, August and September are characterized by an AET of 0 mm, while the month of the highest AET was April with 146.7 mm (Figure 4, b). However, for better understanding the moisture factor or whether a climate is moist or dry, it should be analyzed whether precipitation is greater or less than the evapotranspiration [28]. The Figure 4 reveals that most of the months during the two years of study are under conditions PET> AET, showing water deficit or demand regardless of the season, specially in 2019. During this year the water deficit was found to be major during the dry season compared to the wet season. The area of the graphic (Figure 4), where the precipitation is above the PET, demonstrates storage in reserve plus excess and this is observed only during February and April in 2018 and 2019, respectively. The area under the conditions AET> P (i.e. soil moisture utilization) is not significant and it is observed only in the beginning of the dry season in 2019. Based on the AET analysis it can be suggested that the region is subjected to water deficit. These results are essential when developing sustainable water management practices since La Tembladera wetland is an important ecosystem for crop production, pasture grasses and the habitat of unique flora and fauna.
Wastewater
According to SENAGUA, one inhabitant consumed in average 259.05 liters of water per day in 2018 and 252.58 liters of water per day in 2019. Along the western zone of the wetland are situated four coastal communes (San José, La Florida, Las Crucitas, San Agustín) with an approximately population of 635 people [36] and considering a return coefficient of 80%, the volume of domestic discharge into the wetland was about 131.6 m3 per day (48,033 m3 per year) in 2018 and 128.3 m3 per day (46,833 m3 per year) in 2019.
Water balance model
The conceptual water balance model of La Tembladera is shown in Figure 5. During the wet season the inflows were precipitation (P), San Agustin canal (Qsa), Bellavista canal (Qb), Estero Pinto (Qep) and runoff from rainfall (Qr). We have also considered the wastewater flow (QWW) from the coastal communes along the wetland as an inflow into La Tembladera. The lack of a sewerage system among these communes leads population to discharge the wastewater into the wetland [16]. The outflows were evapotranspiration (AET), the canal for irrigation (Qir) and infiltration (Qin). During the dry season the water balance model is almost the same except for the Bellavista canal that is closed during this season. The proposed water budget for La Tembladera wetland for the two-year study is presented in Table 2.
Figure 5. Conceptual water balance model of La Tembladera wetland, Ecuador
Table 2. Water budget (in m3) of La Tembladera wetland
Year P Or 0(sa+b+ep) qww AET Or On
2018 6.33x106 2.2x103 83.15x106 48x103 6.33x106 3.1x106 -2.2x103
2019 8.64x106 4x103 83.15x106 46.8x103 8.64x106 3.1x106 -4x103
The estimated runoff was 2,244.51 m3 (224.45 mm) representing 0.04% of the precipitation in 2018 and 4,003.77 m3 (400.37 mm) or 0.05% of the precipitation in 2019.
The water budget revealed that the change in storage was 80.1*106 m3 per year. The San Agustín and Bellavista canals, and the Estero Pinto were the major inflows to La Tembladera wetland, representing 92.9% and 90.5% of the total inflows in 2018 and 2019, respectively. The precipitation was in second place with 7% (2018) and 9.4% (2019) of the total inflows. The runoff and wastewater were the minor inflows. The runoff was 0.003% in 2018 and 0.004% in 2019. The wastewater volume was 0.05% of the total inflows in both years. These findings highlighted that the flows from the Arenillas and Santa Rosa rivers, and the Estero Pinto, influence the most the change in water levels, nutrients concentration and distribution as well as organic matter, pollutants and biota distribution, which in turn affect the trophic status of La Tembladera wetland.
The AET represented the major wetland outflows, 67.1% in 2018 and 73.6% in 2019. The canal for irrigation constituted 32.8% (2018) and 26.4% (2019) of the total outflows. The infiltration in 2018 was -2.2*103 m3 and in 2019 was -4*103 m3. This may mean that the ground of this area exudes water, or the opposite of infiltration occurs, therefore, it can be assumed that the infiltration in the wetland area is minor or zero. It is important to mention that the expression used for estimating infiltration considers precipitation, runoff and AET. Nevertheless, factors such as soil characteristics, chemical properties of the water and soil, and hydraulic conductivity of soil are omitted; consequently, this may have led to obtain less accurate infiltration values.
These results prove that the water budget of La Tembladera wetland is primarily driven by the canals systems, while the meteorological components (precipitation and evapotranspiration) play an important, but minor role.
Conclusion
This paper proposes a water budget model for La Tembladera wetland under tropical dry climatic conditions. Our findings of two-year study demonstrate that the empirical water balance method is a useful, simple and economic tool for assessing hydrological dynamics. The main outcomes can be summarized:
• The major inflows to the water budget of La Tembladera were the San Agustín and Bellavista canals, and Estero Pinto, about 92.9% (2018) and 90.5% (2019) of the total inflows. The runoff and wastewater flows represented the minor inflows. The runoff was 0.003% in 2018 and 0.004% in 2019, whereas the wastewater volume was 0.05% of the total inflows in both years.
• The AET was the major outflow in both years, being 67.1% (2018) and 73.6% (2019) of the total outflows. On the other hand, the irrigation canal was the minor outflow of the water budget, 32.9% (2018) and 26.4% (2019).
• The negative results of infiltration suggest that this component did not play an essential role in the water budget of La Tembladera.
Thus, it can be concluded that La Tembladera wetland hydrology is mostly linked to the canals system operations and climate conditions, namely precipitation and actual evapotranspiration. This study was limited by the lack of some data. Further hydrological long-term studies and data collection are therefore needed to assess and forecast more precisive water budget of La Tembladera wetland. Despite this, our work could be the basis for developing plans. This is a decisive issue because this Ramsar site is not only the habitat for many species of flora and fauna or a natural water filter, but also a key ecosystem for agricultural purposes since agriculture is the principal economic activity for the local population in the Ecuadorian coast region.
References
[1] Mitsch WJ, Bernal B, Hernandez ME. Ecosystem services of wetlands. International Journal of Biodiversity Science Ecosystem Services & Management. 2015;11(1):1-4. http://doi.org/10.1080/21513732.2015.1006250
[2] Long X, Lin H, An X, Chen S, Qi S, Zhang M. Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland. Ecological Indicators. 2022;136:108619. http://doi.org/10.1016Zj.ecolind.2022.108619
[3] Zhou L, Guan D, Huang X, Yuan X, Zhang M. Evaluation of the cultural ecosystem services of wetland park. Ecological Indicators. 2020;114:106286. http://doi.org/10.1016/j.ecolind.2020.106286
[4] Villa JA, Tobón C. Modeling hydrologic dynamics of a created wetland, Colombia. Ecological Engineering. 2012;40:173-182. http://doi.org/10.1016/j.ecoleng.2011.12.005
[5] Ondiek RA, Hayes DS, Kinyua DN, Kitaka N, Lautsch E, Mutuo P, Hein T. Influence of land-use change and season on soil greenhouse gas emissions from a tropical wetland: A
stepwise explorative assessment. Science og The Total Environment. 2021;787:147701. http://doi.org/10.1016/j.scitotenv.2021.147701
[6] Zhao X, Zhang Q, He G, Zhang L, Lu Y. Delineating pollution threat intensity from onshore industries to coastal wetlands in the Bohai Rim, the Yangtze River Delta, and the Pearl River Delta, China. Jornal of cleaner production. 2021;320:128880. http://doi.org/10.1016/jjclepro.2021.128880
[7] Canning AD, Jarvis D, Costanza R, Syezlin H, Smart JCR, Finisdore J, Lovelock CE, Greenhalgh S, Marr HM, Beck MW, Gillies CL, Waltham NJ. Financial incentives for large-scale wetland restoration: Beyond markets to common asset trusts. One Earth. 2021;4(7):937-950. http://doi.org/10.1016Zj.oneear.2021.06.006
[8] Shi F, Weaver D, Zhao Y, Huang M, Tang C, Liu Y. Toward an ecological civilization: Mass comprehensive ecotourism indications among domestic visitors to a Chinese wetland protected area. Tourism Management. 2019;70:59-68. http://doi.org/10.1016/j.tourman.2018.07.011
[9] Xu T, Weng B, Yan D, Kun W. Wetlands of International Importance: Status, Threats, and Future Protection. International Jornal of Environmental Research and Public Health. 2019;16(10). http://doi.org/10.3390/ijerph16101818
[10] Di Vittorio CA, Georgakakos AP. Hydrologic Modeling of the Sudd Wetland using Satellite-based Data. Journal of Hydrology: Regional Studies. 2021;37:100922. http://doi.org/10.1016/j.ejrh.2021.100922
[11] Shih SS, Hsu YW. Unit hydrographs for estimating surface runoff and refining the water budget model of a mountain wetland. Ecological Engineering. 2021;173:106435. http://doi.org/ 10.1016/j. ecoleng .2021.106435
[12] Chen S, Johnson F, Drummond C, Glamore W. A new method to improve the accuracy of remotely sensed data for wetland water balance estimates. Journal of Hydrology Regional Studies. 2020;29:100689. http://doi.org/10.1016/j.ejrh.2020.100689
[13] U.S. EPA. Methods for Evaluating Wetland Condition: Wetland Hydrology. Washington, DC: Office of Water, U.S. Environmental Protection Agency; 2008. 37 p.
[14] Convention on Wetlands of International Importance especially as Waterfowl Habitat [Internet]. Ramsar; 1971. Available from: https://www.ramsar.org/sites/default/files/ documents/library/current_convention_text_e.pdf
[15] Ramsar. Ficha Informativa de los Humedales de Ramsar (FIR) - Versión 2009-2012. Available from: https://rsis.ramsar.org/RISapp/files/RISrep/EC1991RIS.pdf
[16] Arias Ordonez PJ. Water quality assessment of La Tembladera wetland in Ecuador using Water Quality Index. RUDN Journal of Ecology and Life Safety. 2020;28(2):172-182. http://doi.org/10.22363/2313-2310-2020-28-2-172-182
[17] López-Blanco C, Kenney WF, Varas A. Recent flood management efforts obscure the climate signal in a sediment record from a tropical lake. Journal of Paleolimnology. 2017;58(4):467-478. http://doi.org/10.1007/s10933-017-0004-x
[18] Lopes TR, Zolin CA, Mingoti R, Vendrusculo LG. Hydrological regime, water availability and land use/land cover change impact on the water balance in a large agriculture basin in the Southern Brazilian Amazon. Journal of South American Earth Sciences. 2021;108:103224. http://doi.org/10.1016/jjsames.2021.103224
[19] Chen H, Zhao YW. Evaluating the environmental flows of China's Wolonghu wetland and land use changes using a hydrological model, a water balance model, and remote sensing. Ecological Modelling. 2011;222(2):253-260. http://doi.org/10.1016/j.ecolmodel.2009.12.020
[20] Ciocca DR, Delgado G. The reality of scientific research in Latin America; an insider's perspective. Cell Stress Chaperones. 2017;22(6):847-852. http://doi.org/10.1007/s12192-017-0815-8
[21] Casila JC, Azhikodan G, Yokoyama K. Quantifying water quality and flow in multi-branched urban estuaries for a rainfall event with mass balance method. Water Science andEngineering. 2020;13(4):317-328. http://doi.org/10.1016/j.wse.2020.12.002
[22] Kalédjé PSK, Ndam Ngoupayou JR, Rakotondrabe F, Ondoa JM. Quantitative assessment of water resources by the method of the hydrological balance in the Kadey catchment area (East-Cameroon). Groundwater Sustainable Development. 2020;10:100278. http://doi.org/10.1016/j.gsd.2019.100278
[23] Lee O, Kim HS, Kim S. Hydrological simple water balance modeling for increasing geographically isolated doline wetland functions and its application to climate change. Ecological Engineering. 2020;149:105812. http://doi.org/10.1016/j.ecoleng.2020.105812
[24] Reyes Quevedo PE. Evaluación de la calidad de agua en el humedal La Tembladera utilizando índices de contaminación [dissertation]. Quito: Universidad Internacional SEK; 2017.
[25] United Nations Development Programme (UNDP). Informe de Valoración de Servicios Ambientales Y La Estimación Del Costo de Oportunidad Del Uso Del Suelo. UNDP; 2012. Available from: https://info.undp.org/docs/pdc/Documents/ECU/Valoracion% 20Servicios%20Ambientales_Humedal%20La%20Tembladera.pdf
[26] Mitsch WJ, Gosselink JG. Wetlands. 5th ed. Wiley; 2015.
[27] López-Blanco C, Kenney WF, Varas A. Multiple stressors trigger ecological changes in tropical Lake La Tembladera (Ecuador). Aquatic Ecology. 2018;52(2-3):211-224. http://doi.org/10.1007/s10452-018-9656-5
[28] Thornthwaite CW. An Approach toward a Rational Classification of Climate. Geographical Review. 1948;38(1):55-94. http://doi.org/10.2307/210739
[29] Thornthwaite CW, Mather JR. Instructions and Tables for Computing Potential Evapotranspiration and the Water Balance. New Jersey; 1957.
[30] Villaseñor-Ortiz D, Luna-Romero E, Jaramillo-Aguilar E. Characterization of morphological, physical and chemical properties of the soils of the "La Tembladera" wetland, El Oro province, Ecuador. Revista La Técnica. 2017;17:84-95.
[31] Ospina Noreña JE, Domínguez-Ramírez CA, Vega-Rodríguez EE, Darghan-Contreras AE, Rodríguez-Molano LE. Analysis of the water balance under regional scenarios of climate change for arid zones of Colombia. Atmosfera. 2017;30(1):63-76. http://doi.org/10.20937/atm.2017.30.01.06
[32] The U.S. Department of Agriculture (USDA). Urban Hydrology for Small Watersheds. Washington, DC; 1986. Technical Release No. 55 (TR-55). Available from: https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1044171.pdf
[33] Munna GM, Alam MJB, Uddin MM, Islam N, Orthee AA, Hasan K. Runoff prediction of Surma basin by curve number (CN) method using ARC-GIS and HEC-RAS. Environmental and Sustainability Indicators. 2021;11:100129. http://doi.org/10.1016/jindic.2021.100129
[34] Lian H, Yen H, Huang JC, Feng Q, Qin L, Bashir MA, Wu S, Zhu A, Luo J, Di H, Lei Q, Liu H. CN-China: Revised runoff curve number by using rainfall-runoff events data in China. Water Resources. 2020;177:115767. http://doi.org/10.1016/j.watres.2020.115767
[35] Uwizeyimana D, Mureithi SM, Mvuyekure SM, Karuku G, Kironchi G. Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda. International Soil and Water Conservation Research. 2019;7(1):9-17. http://doi.org/10.1016/j.iswcr.2018.12.001
[36] Mishra SK, Singh VP. SCS-CN Method. In: Singh VP, editor. Soil Conservation Service Curve Number (SCS-CN) Methodology. Dordrecht: Springer; 2003. p. 84-146. http://doi.org/10.1007/978-94-017-0147-1_2
[37] Gobierno Autónomo Descentralizado de la Parroquia Bellavista (GADP Bellavista). Plan de Desarrollo y Ordenamiento Territorial Parroquial Rural de Bellavista 2015-2019. Bellavista; 2015. Available from: http://app.sni.gob.ec/sni-link/sni/ P0RTAL_SNI/data_sigad_plus/sigadplusdiagnostico/0760030840001_076003084000 1_DIAGNOSTICO_BELLAVISTA_29- 10-2015_11-16-55.pdf
[38] Sperling MV. Wastewater Characteristics, Treatment and Disposal. Iwa Pub; 2007.
[39] ARCA-AME-INEC-BDE. Registro de Gestión de Agua Potable y Alcantarillado 2018-2020.
[40] Mapa interactivo [Internet]. Ecuador: Ministerio del Ambiente, Agua y Transición Ecológica; 2020. Available from: http://ide.ambiente.gob.ec/mapainteractivo/
Bio notes:
Priscila Jackeline Arias Ordonez, PhD in Earth Sciences (Ecology), Senior lecturer, Department of Environmental Safety and Product Quality Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation. ORCID: 0000-0003-2204-0516. E-mail: [email protected] Carlos Vladimir Suasnavas Lagos, MSc, assistant, Department of Foreign Languages, Academy of Engineering, RUDN University, 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation; Lecturer, Institute of Linguistics, Moscow University named after A.S. Griboedov, 21 Shosse Enthusiastov, Moscow, 111024, Russian Federation. ORCID: 0000-0002-8799-4276. E-mail: [email protected]
Marianna D. Kharlamova, PhD in Chemistry, Associate Professor, Department of Environmental Safety and Product Quality Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation. ORCID: 0000-0002-1032-4186. E-mail: [email protected] Winston Rodolfo Arias Ordonez, bachelor student, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation. ORCID: 0000-0001-6832-1706. E-mail: [email protected]
Сведения об авторах:
Ариас Ордоньес Присцила Хакелине, исследователь; преподаватель-исследователь, старший преподаватель департамента экологической безопасности и менеджмента качества продукции, Институт экологии, Российский университет дружбы народов, Российская Федерация, 117198, Москва, ул. Миклухо-Маклая, д. 6. ORCID: 0000-0003-2204-0516. E-mail: [email protected]
Суаснавас Лагос Карлос Владимир, магистр, ассистент кафедры иностранных языков, Инженерная академия, Российский университет дружбы народов, Российская Федерация, 117198, Москва, ул. Миклухо-Маклая, д. 6; преподаватель института лингвистики, Московский университет имени А.С. Грибоедова, Российская Федерация, 111024, Москва, ш. Энтузиастов, д. 21. ORCID: 0000-0002-8799-4276. E-mail: [email protected]
Харламова Марианна Дмитриевна, к.х.н., доцент департамента экологической безопасности и менеджмента качества продукции, Институт экологии, Российский университет дружбы народов, Российская Федерация, 117198, Москва, ул. Миклухо-Маклая, д. 6. ORCID: 0000-0002-1032-4186. E-mail: [email protected]
Ариас Ордоньес Винстон Родольфо, студент бакалавриата, Институт экологии, Российский университет дружбы народов, Российская Федерация, 117198, Москва, ул. Миклухо-Маклая, д. 6. ORCID: 0000-0001-6832-1706. E-mail: [email protected]