Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead

Singh, Alka; Seitz, Florian; Eicker, Annette; Güntner, Andreas

doi:10.3390/rs8110953

Cited by 14 publications

(6 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Where climatological factors significantly influence water volume, predictability metrics may be formed. For example, Lake Mead in Nevada-Arizona, U.S.A has net evaporation and precipitation fluctuations that are consistent with lake water volume variations [5]. For many lakes, the greatest threat to longevity is related to human factors as well as natural, as is the case for Lake Hulun in China [6].…”

Section: Introductionmentioning

confidence: 93%

Analysis of Surface Water Areal changes using Remote Sensing Data

Murray¹,

Khaki²

2020

aeer

View full text Add to dashboard Cite

Inland water bodies are crucial for supporting human life in various parts of the world. Therefore, it is essential to accurately monitor its spatiotemporal variations for better water management. The main objective of this study is to investigate the application of remote sensing data for quantifying the surface area changes and the impact of climatological variabilities over Lakes Mead and Chapala. Historical time series of monthly surface area dynamics were developed using Landsat 1-8 scenes and the climate variability was analysed using evaporation rate and precipitation. Results show that estimated surface water changes from satellite data agree well with independent data. A significant decline in surface area of about 40% since 2000 was found over the Lake Mead region. The relationship between surface area, precipitation and evaporation indicate that climatological factors have contributed to the lake surface area reduction. Lake Chapala’s surface area, on the other hand, has not fallen significantly despite negative trends in precipitation. It was found that human interactions with the lake are likely the main cause of surface area variations. The information about water surface area variation in this study is valuable for monitoring and characterising the predictability of water availability of the regions.

show abstract

Section: Introductionmentioning

confidence: 93%

Analysis of Surface Water Areal changes using Remote Sensing Data

Murray¹,

Khaki²

2020

aeer

View full text Add to dashboard Cite

show abstract

“…What Figure 6 does not visualize is the intra-annual temporal resolution considered in these studies. The nominal temporal resolution of Landsat is 16 days, but due to data gaps, most Landsat-based approaches mostly work with monthly time series (e.g., [5,11,83,96,120,121]). MODIS-based approaches profit from a higher temporal resolution.…”

Section: Spatial and Temporal Scales Of The Studiesmentioning

confidence: 99%

“…This affects surface water availability, increasing the likelihood and severity of droughts and floods [3]. Apart from climate change, human interference changes surface water dynamics through, for example, dam construction [4], water diversion [5], or surface sealing [6]. An overview of the components of surface water hydrology and the factors that impact surface water dynamics are given in Figure 1.…”

Section: Introduction 1surface Water In a Societal And Environmental ...mentioning

confidence: 99%

Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review

2022

View full text Add to dashboard Cite

Inland surface water is often the most accessible freshwater source. As opposed to groundwater, surface water is replenished in a comparatively quick cycle, which makes this vital resource—if not overexploited—sustainable. From a global perspective, freshwater is plentiful. Still, depending on the region, surface water availability is severely limited. Additionally, climate change and human interventions act as large-scale drivers and cause dramatic changes in established surface water dynamics. Actions have to be taken to secure sustainable water availability and usage. This requires informed decision making based on reliable environmental data. Monitoring inland surface water dynamics is therefore more important than ever. Remote sensing is able to delineate surface water in a number of ways by using optical as well as active and passive microwave sensors. In this review, we look at the proceedings within this discipline by reviewing 233 scientific works. We provide an extensive overview of used sensors, the spatial and temporal resolution of studies, their thematic foci, and their spatial distribution. We observe that a wide array of available sensors and datasets, along with increasing computing capacities, have shaped the field over the last years. Multiple global analysis-ready products are available for investigating surface water area dynamics, but so far none offer high spatial and temporal resolution.

show abstract

“…Hydrologic analysis of the Aral Sea and surrounding regions has been an active area of research in the last two decades [7][8][9][10][11]. The present study tries to advance previous studies by quantifying different hydrological parameters of the lake using various remote-sensing datasets that can complement each other.…”

Section: Introductionmentioning

confidence: 96%

On the Desiccation of the South Aral Sea Observed from Spaceborne Missions

et al. 2018

Self Cite

View full text Add to dashboard Cite

The South Aral Sea has been massively affected by the implementation of a mega-irrigation project in the region, but ground-based observations have monitored the Sea poorly. This study is a comprehensive analysis of the mass balance of the South Aral Sea and its basin, using multiple instruments from ground and space. We estimate lake volume, evaporation from the lake, and the Amu Darya streamflow into the lake using strengths offered by various remote-sensing data. We also diagnose the attribution behind the shrinking of the lake and its possible future fate. Terrestrial water storage (TWS) variations observed by the Gravity Recovery and Climate Experiment (GRACE) mission from the Aral Sea region can approximate water level of the East Aral Sea with good accuracy (1.8% normalized root mean square error (RMSE), and 0.9 correlation) against altimetry observations. Evaporation from the lake is back-calculated by integrating altimetry-based lake volume, in situ streamflow, and Global Precipitation Climatology Project (GPCP) precipitation. Different evapotranspiration (ET) products (Global Land Data Assimilation System (GLDAS), the Water Gap Hydrological Model (WGHM)), and Moderate-Resolution Imaging Spectroradiometer (MODIS) Global Evapotranspiration Project (MOD16) significantly underestimate the evaporation from the lake. However, another MODIS based Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) ET estimate shows remarkably high consistency (0.76 correlation) with our estimate (based on the water-budget equation). Further, streamflow is approximated by integrating lake volume variation, PT-JPL ET, and GPCP datasets. In another approach, the deseasonalized GRACE signal from the Amu Darya basin was also found to approximate streamflow and predict extreme flow into the lake by one or two months. They can be used for water resource management in the Amu Darya delta. The spatiotemporal pattern in the Amu Darya basin shows that terrestrial water storage (TWS) in the central region (predominantly in the primary irrigation belt other than delta) has increased. This increase can be attributed to enhanced infiltration, as ET and vegetation index (i.e., normalized difference vegetation index (NDVI)) from the area has decreased. The additional infiltration might be an indication of worsening of the canal structures and leakage in the area. The study shows how altimetry, optical images, gravimetric and other ancillary observations can collectively help to study the desiccating Aral Sea and its basin. A similar method can be used to explore other desiccating lakes.

show abstract

Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead

Cited by 14 publications

References 51 publications

Analysis of Surface Water Areal changes using Remote Sensing Data

Analysis of Surface Water Areal changes using Remote Sensing Data

Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review

On the Desiccation of the South Aral Sea Observed from Spaceborne Missions

Contact Info

Product

Resources

About