Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches

Zhao, Gang; Gao, Huilin

doi:10.1016/j.rse.2019.03.015

Cited by 132 publications

(122 citation statements)

References 98 publications

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“…A comprehensive ice phenology dataset covering lakes in all sizes would be beneficial to better understand the fate of carbon in the Arctic. In addition, changes in ice duration may impact lake evaporation in high-latitude regions [32]. Ice coverage information from the proposed algorithm can lead to a more accurate evaporation calculation over the majority of boreal lakes.…”

Section: Discussionmentioning

confidence: 99%

Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes, ME, USA

Zhang

Pavelsky

2019

Remote Sensing

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Remote sensing of ice phenology for small lakes is hindered by a lack of satellite observations with both high temporal and spatial resolutions. By merging multi-source satellite data over individual lakes, we present a new algorithm that successfully estimates ice freeze and thaw timing for lakes with surface areas as small as 0.13 km2 and obtains consistent results across a range of lake sizes. We have developed an approach for classifying ice pixels based on the red reflectance band of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, with a threshold calibrated against ice fraction from Landsat Fmask over each lake. Using a filter derived from the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) surface air temperature product, we removed outliers in the time series of lake ice fraction. The time series of lake ice fraction was then applied to identify lake ice breakup and freezeup dates. Validation results from over 296 lakes in Maine indicate that the satellite-based lake ice timing detection algorithm perform well, with mean absolute error (MAE) of 5.54 days for breakup dates and 7.31 days for freezeup dates. This algorithm can be applied to lakes worldwide, including the nearly two million lakes with surface area between 0.1 and 1 km2.

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Section: Discussionmentioning

confidence: 99%

Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes, ME, USA

Zhang

Pavelsky

2019

Remote Sensing

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“…Seasonal and interannual temperature changes in the Cerrado region are small, which result in close to no alterations in heat storage [37]. Additionally, many authors have documented heat storage to be insignificant for shallow reservoirs [15,24], and as so it can be disregarded for small ones.…”

Section: Methods Used To Estimate Reservoir Evaporationmentioning

confidence: 99%

“…Pans may be installed on land or inside the reservoir in order to estimate reservoir evaporation. Land pans are more subject to errors given the extra heat absorption from the pan's side, wind effects, and water splashing [7,15,16]. Despite some of these limitations still standing for floating pans, Masoner et al (2008) [17] showed that they better simulate the conditions controlling water evaporation in small free-water surfaces.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Evaporation Methods for Estimating Small Reservoir Water Surface Evaporation in the Brazilian Savannah

Althoff

Silva

2019

Water

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Small reservoirs play a key role in the Brazilian savannah (Cerrado), making irrigation feasible and contributing to the economic development and social well-being of the population. A lack of information on factors, such as evaporative water loss, has an impact on the design and management of these reservoirs, as well as on regional water safety. Acquiring this information is crucial for hydrologists to develop more effective water resource management strategies and policies. This study assesses the performance of a diverse number of methods that are used to estimate evaporation and provides evaporation probability curves on a fortnightly period for small reservoirs in the Brazilian savannah region. Evaporation data were collected for a small water reservoir located in the Buriti Vermelho watershed, a typical dam of the Brazilian savannah region. Among the assessed methods, those of Kohler et al. (1955) and Linacre (1993) presented the best performances on both the daily and monthly scales for evaporation estimates. By simulating the evaporation rates for a timeseries, an increasing trend in evaporation was observed for the transition between the dry and wet seasons, jeopardizing double cropping in the region. The developed probability curves are an important tool for improving water resource planning and increasing the local water availability.

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“…Daily evaporation (E) from the SWRs was estimated using evaporation pans installed in their vicinity [78] using a pan coefficient [79] to convert evaporation from the pan to evaporation from the water of SWRs [80,81]. Evaporation from SWRs occurs mainly during the dry season when it is at its maximum.…”

Section: Assessment Of the Components Of Balance Necessary For Estimamentioning

confidence: 99%

Quantifying Focused Groundwater Recharge Induced by Irrigation Surface Water Reservoirs in Crystalline Basement Areas for Complementary Irrigation

Bambara

Orban

Ouédraogo

et al. 2020

Water

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Through the practice of irrigation, surface water reservoirs (SWRs) contribute to the socio-economic development and food production activities of populations in Sub-Saharan Africa (SSA). However, they tend to dry up prematurely. One solution to circumvent these irrigation water shortages is to ensure their conjunctive use with groundwater. The objective of this study is to better understand the contribution of SWRs to groundwater recharge and to determine if groundwater may be considered as a complementary local resource for irrigation. The study was carried out on two watersheds in Burkina Faso, Kierma and Mogtedo. The spatiotemporal analysis of piezometric and SWRs level records coupled with physico-chemical analyses of water was used to characterize exchanges between SWRs and groundwater. The regional groundwater recharge at the scale of the watersheds was assessed. At the SWRs scale, a water balance methodology was developed and used to estimate focused recharge. The results show that SWRs interact almost continuously with groundwater and contribute focused recharge. The magnitude of this recharge is a function of the geological context and the sediment texture of the SWRs. It is estimated at 5 mm/day in Kierma and 4 mm/day in Mogtédo. These values are higher than the natural recharge estimated at 0.2 mm/day in Kierma and 0.1 mm/day in Mogtédo. Additionally, the values of hydraulic conductivity are between 0.01 and 2 m/day in Kierma and between 1 × 10−4 and 0.2 m/day in Mogtédo. These conductivities could allow pumping in large-diameter hand-dug wells with a significant yield between 0.5 and 120 m3/day in Kierma and between 0 and 10 m3/day in Mogtédo to palliate the early drying up of the SWRs.

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Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches

Cited by 132 publications

References 98 publications

Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes, ME, USA

Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes, ME, USA

Evaluating Evaporation Methods for Estimating Small Reservoir Water Surface Evaporation in the Brazilian Savannah

Quantifying Focused Groundwater Recharge Induced by Irrigation Surface Water Reservoirs in Crystalline Basement Areas for Complementary Irrigation

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