Trends of evaporation in Brazilian tropical reservoirs using remote sensing

Rodrigues, Ítalo Sampaio; Costa, Carlos Alexandre Gomes; Neto, Iran Eduardo Lima; Hopkinson, Chris

doi:10.1016/j.jhydrol.2021.126473

Cited by 18 publications

(9 citation statements)

References 82 publications

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“…Our results compare similarly to all these studies (outside of the anomalous high r 2 in Abdelrady, Timmermans 45 ). Our instantaneous RMSE was a little larger than Abdelrady, Timmermans 45 at 53.7 W·m −2 , but our daily RMSE’s of 1.2–1.5 mm·day −1 compare similarly to the 1.5 mm·day −1 of Abdelrady, Timmermans 45 and the high end of 1.25 mm·day −1 from Rodrigues, Costa 98 .…”

Section: Discussionsupporting

confidence: 52%

“…Abdelrady, Timmermans 45 , who developed AquaSEBS, reported RMSE’s of 20–35 W·m −2 and 1.5 mm·day −1 , depending on site and measurement method; they reported a high r 2 of 0.98 at one site though the r 2 for their sensible heat flux was 0.70. Rodrigues, Costa 98 and Rodrigues, Costa 37 used AquaSEBS across multiple sites and reported RMSE’s of 0.81–1.25 mm·day −1 in the former and 0.03–0.58 mm·day −1 in the latter, with r 2 ’s of 0.51–0.65 and 0.32–0.63, respectively. Our results compare similarly to all these studies (outside of the anomalous high r 2 in Abdelrady, Timmermans 45 ).…”

Section: Discussionmentioning

confidence: 99%

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Remotely sensed terrestrial open water evaporation

Fisher

Dohlen

Halverson

et al. 2023

Sci Rep

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Terrestrial open water evaporation is difficult to measure both in situ and remotely yet is critical for understanding changes in reservoirs, lakes, and inland seas from human management and climatically altered hydrological cycling. Multiple satellite missions and data systems (e.g., ECOSTRESS, OpenET) now operationally produce evapotranspiration (ET), but the open water evaporation data produced over millions of water bodies are algorithmically produced differently than the main ET data and are often overlooked in evaluation. Here, we evaluated the open water evaporation algorithm, AquaSEBS, used by ECOSTRESS and OpenET against 19 in situ open water evaporation sites from around the world using MODIS and Landsat data, making this one of the largest open water evaporation validations to date. Overall, our remotely sensed open water evaporation retrieval captured some variability and magnitude in the in situ data when controlling for high wind events (instantaneous: r2 = 0.71; bias = 13% of mean; RMSE = 38% of mean). Much of the instantaneous uncertainty was due to high wind events (u > mean daily 7.5 m·s−1) when the open water evaporation process shifts from radiatively-controlled to atmospherically-controlled; not accounting for high wind events decreases instantaneous accuracy significantly (r2 = 0.47; bias = 36% of mean; RMSE = 62% of mean). However, this sensitivity minimizes with temporal integration (e.g., daily RMSE = 1.2–1.5 mm·day−1). To benchmark AquaSEBS, we ran a suite of 11 machine learning models, but found that they did not significantly improve on the process-based formulation of AquaSEBS suggesting that the remaining error is from a combination of the in situ evaporation measurements, forcing data, and/or scaling mismatch; the machine learning models were able to predict error well in and of itself (r2 = 0.74). Our results provide confidence in the remotely sensed open water evaporation data, though not without uncertainty, and a foundation by which current and future missions may build such operational data.

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Section: Discussionsupporting

confidence: 52%

Section: Discussionmentioning

confidence: 99%

Remotely sensed terrestrial open water evaporation

Fisher

Dohlen

Halverson

et al. 2023

Sci Rep

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“…The understanding of small reservoirs' dynamics is extremely important for the management of water resources in dryland regions because their impacts on the hydrological network depend on their dimensions, uses, and locations. Recent studies have been carried out to assess the cumulative impact of small reservoirs, such as the increase in evaporation losses [13,14] and the decrease in runoff generated in the catchment [1,4,[15][16][17][18]. In addition, other studies have investigated the effect of small reservoirs on sediment retention dynamics [19][20][21], the reduction of energy demand for water pumping [22], and the evolution and intensification of drought events [3,6,23].…”

Section: Introductionmentioning

confidence: 99%

Impact of Dense Networks of Reservoirs on Streamflows at Dryland Catchments

et al. 2022

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Small reservoirs play an important role in providing water to rural communities. Increased construction of small reservoirs to mitigate the effects of droughts leads to a High-density Reservoirs Network (HdRN) of small reservoirs, which can potentially modify the streamflows both in dry and wet periods. However, there is a lack of understanding of the interannual behavior of flow retention and the impact of future increases in the number of small reservoirs, mainly for HdRN in dryland catchments. This research aims to determine the possible impact of the increase in the number of small reservoirs on dry hydrological networks, evaluating the annual flows generated at the outlet of a dryland watershed for scenarios with different densities of small reservoirs (number of reservoirs per area). The study area was the Conceição river catchment (3347 km²) in the semiarid of Brazil. The hydrological model of the study area was developed in SWAT. The model obtained appropriate results for daily streamflows, with values of 0.63, 0.81, and 0.53% for NSE, KGE, and PBIAS, respectively. The current density of small reservoirs in the region was estimated at 0.068 reservoirs per square kilometer (res/km²). Eight expansion scenarios were defined for densities between 0.1 res/km² and 3.0 res/km². The results showed that the influence of the HdRN on runoff reduction mostly occurs for a probability of exceedance between 1% and 10% of month flows and is very small for months with very high peaks of flow. The reduction in the outlet flow due to the increase in the number of small reservoirs was stronger during dry years (up to 30%) than during wet years (up to 8%), and it tended to increase in years with a consecutive lack of rain (from about 7% in the first year to about 20% in the last year and in the worst scenario), which may intensify the period of extended droughts. This research provides insights about the impact of the increase in the number of small reservoirs on the interannual variability of flow retention, and the understanding of the influence of small reservoirs on runoff reduction may help water resources agencies better prepare for hydrologic extremes (droughts and floods).

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“…To mitigate this issue, an average evaporation estimation was considered for each condition (i.e., with and without macrophyte area), which merges all evaporation estimations for these two different scenarios. This assumption may be valid since evaporation trends in the study region did not demonstrate any major change (as reported by Rodrigues et al 2021b).…”

Section: Sources Of Uncertaintymentioning

confidence: 58%

Effects of Floating Macrophytes on Evaporation Rates in Tropical Reservoirs

Rodrigues

Costa

Teixeira

et al. 2023

Preprint

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Reservoir evaporation represents one of the most significant forms of water loss in tropical and semi-arid areas, but methods to accurately quantify evaporation fluxes at large scales are currently missing. The objectives of this study were: (1) to estimate evaporation in two Brazilian tropical reservoirs by calibrating the Stephens-Stewart equation through remote sensing, and (2) to assess the relationship between macrophyte coverage and evaporation. The calibrated Stephens-Stewart equation provided similar results to class A pan reference measurements (root mean square error of 0.8 mm/day). The two reservoirs yielded an evaporation volume that would be sufficient to meet the water needs of almost a million people. Furthermore, due to the poor water quality of one of the reservoirs, an important percentage of its surface area was covered by macrophytes. Macrophyte coverage was negatively correlated with the evaporation flux (R²=0.76), and led on average to an 11% reduction of the estimated evaporation rate. Overall, the results of this study demonstrate the usefulness of using remote sensing products to estimate reservoir evaporation and outline the need to better understand the relationship between macrophyte cover and reservoir evaporation in tropical and semi-arid areas.

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Trends of evaporation in Brazilian tropical reservoirs using remote sensing

Cited by 18 publications

References 82 publications

Remotely sensed terrestrial open water evaporation

Remotely sensed terrestrial open water evaporation

Impact of Dense Networks of Reservoirs on Streamflows at Dryland Catchments

Effects of Floating Macrophytes on Evaporation Rates in Tropical Reservoirs

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