Roles of Irrigation and Reservoir Operations in Modulating Terrestrial Water and Energy Budgets in the Indian Subcontinental River Basins

Shah, Harsh L.; Zhou, Tian; Sun, Ning; Huang, Maoyi; Mishra, Vimal

doi:10.1029/2019jd031059

Cited by 22 publications

(20 citation statements)

References 119 publications

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“…On the contrary, the irrigation water was less in the nongrowing season (January to April and October to December) and led to the seasonal expansion of the reservoir. Therefore, the increase in irrigation water made the Guanting Reservoir shrink, while in the nongrowing season, the decrease in irrigation water made the reservoir expand (Shah et al, 2019). In addition, the precipitation was larger during summer (July to September) (supporting information Figure S2) and led to a small increase in the reservoir area from August to September, as well as a small decrease in the distance between the 40‐m tower and reservoir (Figure 4b).…”

Section: Resultsmentioning

confidence: 99%

Impact of Lake/Reservoir Expansion and Shrinkage on Energy and Water Vapor Fluxes in the Surrounding Area

et al. 2020

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Lakes and reservoirs are important components of freshwater. The expansion and shrinkage of lakes/reservoirs may have impacts on meteorological characteristics and the underlying surface conditions in the surrounding areas, which would further affect energy and water vapor fluxes. In this study, the expansion and shrinkage of the Guanting Reservoir during 2013-2017 were analyzed using remote sensing data. Data collected from the Huailai Remote Sensing Experiment Station were used to analyze the impact of reservoir expansion/shrinkage on energy and water vapor fluxes in the surrounding area. Results showed the annual expansion of the Guanting Reservoir from 2013 to 2017 and a seasonal variation characterized by expansion in spring, shrinkage in summer and autumn, and expansion again in winter was exhibited. Meanwhile, the evapotranspiration (ET) in the surrounding area increased by about 96%, from 446.6 mm in 2013 to 874.7 mm in 2017. In growing season (May to September), the seasonal shrinkage of the reservoir affected ET through net radiation, normalized difference vegetation index (NDVI), and deep soil moisture, while in nongrowing season (January to April and October to December), the seasonal expansion increased ET through the distance between 40-m tower and the reservoir, net radiation, and surface soil moisture. In addition, with the reservoir expanding year by year, the difference in ET between the closer site and further site from the reservoir increased obviously, especially in the nongrowing season during the seasonal expansion of the reservoir. The findings of this study are beneficial for ecosystem restoration and sustainable development of lakes/reservoirs in arid and semiarid areas.

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Section: Resultsmentioning

confidence: 99%

Impact of Lake/Reservoir Expansion and Shrinkage on Energy and Water Vapor Fluxes in the Surrounding Area

et al. 2020

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“…The scheme includes a water withdrawal module that was integrated into a modified version of the VIC model (namely VIC-IRR) and a reservoir module that was integrated into the Lohmann et al (1998) routing model (Figure 2). The VIC-IRR version has been implemented in previous studies at global and regional scales (Haddeland et al, 2006;Shah et al, 2019;Zhou et al, 2016). The VIC-IRR model allows for irrigation water extraction from surface water sources such as local streams and/or upstream reservoirs, based on the model's predicted soil moisture deficit.…”

Section: Water Management Schemementioning

confidence: 99%

“…(1998) routing model (Figure 2). The VIC‐IRR version has been implemented in previous studies at global and regional scales (Haddeland et al., 2006; Shah et al., 2019; Zhou et al., 2016). The VIC‐IRR model allows for irrigation water extraction from surface water sources such as local streams and/or upstream reservoirs, based on the model's predicted soil moisture deficit.…”

Section: Model Description and Datasetsmentioning

confidence: 99%

“…This resulted in supply deficits that are mostly assumed to be met by a hypothetical, unlimited source of deep groundwater. Such modules address the impacts introduced by irrigation schemes (Leng et al., 2013; Sacks et al., 2009; Shah et al., 2019; Zhou et al., 2020) and multi‐objective dam operations (Shin et al., 2019; Voisin et al., 2013; Zhou et al., 2016). For example, Zhou et al.…”

Section: Introductionmentioning

confidence: 99%

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The Role of Groundwater Withdrawals on River Regulation: Example From the Columbia River Basin

Eldardiry

Zhou

Huang

et al. 2022

Water Resources Research

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The Columbia River Basin (CRB) is heavily regulated by more than 250 dams on its river system while depending significantly on groundwater withdrawals in certain sub‐basins. Neglecting groundwater withdrawals in hydrologic models of the basin could result in inaccurate predictions of its water budget and thus mislead water management decisions in the basin. This study aims to understand the impacts of groundwater pumping on the spatiotemporal patterns of modeling regulated streamflow in the CRB using a modified version of the Variable Infiltration Capacity (VIC) model integrated with a water management component that accounts for groundwater withdrawals, irrigation demands, and reservoir operation (VIC‐GIRR). The VIC‐GIRR simulations showed that considering additional groundwater withdrawals would alleviate the stress of irrigation water deficit in the Snake River Basin with an average reduction of 10 km3/year. Such a reduction in water deficit resulted in slight streamflow increase over the CRB with maximum increase up to 40% during dry period in certain locations. We also note that the implementation of groundwater withdrawal does not, however, improve the overall model performance in long‐term averaged streamflow and storage predictions. Our results highlight the efforts needed to examine additional important processes in representing the interactions between water withdrawals and reservoir operations. Such efforts will aid in better simulation of multi‐reservoir system and improve effectiveness for agricultural productivity, power generation, flood control, and navigation purposes.

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“…This can improve our understanding of the reservoirs' role in the hydrological cycle and water budgets [10,57]. For instance, Shah et al [58] examined the role of reservoirs in water and energy budgets using the Variable Infiltration Capacity (VIC) model in the Indian sub-continent.…”

Section: Future Directions and Potential Applicationsmentioning

confidence: 99%

NASA’s MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data

Zhao

Shah

et al. 2021

Remote Sensing

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Global reservoir information can not only benefit local water management but can also improve our understanding of the hydrological cycle. This information includes water area, elevation, and storage; evaporation rate and volume values; and other characteristics. However, operational wall-to-wall reservoir storage and evaporation monitoring information is lacking on a global scale. Here we introduce NASA’s new MODIS/VIIRS Global Water Reservoir product suite based on moderate resolution remote sensing data—the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Visible Infrared Imaging Radiometer Suite (VIIRS). This product consists of 8-day (MxD28C2 and VNP28C2) and monthly (MxD28C3 and VNP28C3) measurements for 164 large reservoirs (MxD stands for the product from both Terra (MOD) or Aqua (MYD) satellites). The 8-day product provides area, elevation, and storage values, which were generated by first extracting water areas from surface reflectance data and then applying the area estimations to the pre-established Area–Elevation (A–E) relationships. These values were then further aggregated to monthly, with the evaporation rate and volume information added. The evaporation rate and volume values were calculated after the Lake Temperature and Evaporation Model (LTEM) using MODIS/VIIRS land surface temperature product and meteorological data from the Global Land Data Assimilation System (GLDAS). Validation results show that the 250 m area classifications from MODIS agree well with the high-resolution classifications from Landsat (R2 = 0.99). Validation of elevation and storage products for twelve Indian reservoirs show good agreement in terms of R2 values (0.71–0.96 for elevation, and 0.79–0.96 for storage) and normalized root-mean-square error (NRMSE) values (5.08–19.34% for elevation, and 6.39–18.77% for storage). The evaporation rate results for two reservoirs (Lake Nasser and Lake Mead) agree well with in situ measurements (R2 values of 0.61 and 0.66, and NRMSE values of 16.25% and 21.76%). Furthermore, preliminary results from the VIIRS reservoir product have shown good consistency with the MODIS based product, confirming the continuity of this 20-year product suite. This new global water reservoir product suite can provide valuable information with regard to water-sources-related studies, applications, management, and hydrological modeling and change analysis such as drought monitoring.

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Roles of Irrigation and Reservoir Operations in Modulating Terrestrial Water and Energy Budgets in the Indian Subcontinental River Basins

Cited by 22 publications

References 119 publications

Impact of Lake/Reservoir Expansion and Shrinkage on Energy and Water Vapor Fluxes in the Surrounding Area

Impact of Lake/Reservoir Expansion and Shrinkage on Energy and Water Vapor Fluxes in the Surrounding Area

The Role of Groundwater Withdrawals on River Regulation: Example From the Columbia River Basin

NASA’s MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data

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