Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis

Zuo, Depeng; Xu, Zongxue; Peng, Danling; Song, Jinxi; Cheng, Lei; Wei, Shouke; Abbaspour, Karim C.; Yang, Hong

doi:10.1002/hyp.10307

Cited by 73 publications

(32 citation statements)

References 50 publications

(85 reference statements)

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“…This means that the green water resources are the main water resources in this area, consistent with other studies for this region (Zang et al, 2015;Zang and Liu, 2013;Zuo et al, 2015).…”

Section: Domain Averaged Green and Blue Water Flow Chartsupporting

confidence: 92%

Assessing Green and Blue Water: Understanding Interactions and Making Balance between Human and Nature

Mao

Liu

Feng

et al. 2018

Preprint

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Abstract. Water resources assessment is crucial for human well-being and ecosystem's health. Assessments by considering both the blue and green water are of great significance as the green water plays a critical but often ignored role in the terrestrial ecosystem, especially in arid and semi-arid regions. Many approaches have been developed for green and blue 10 water valuation, while few of them considers the interrelationship between them. This study proposed a new framework for green and blue water assessment by considering the interactions between them in an arid endorheic river basin where hydrological cycling is dramatically altered by human activities. Results show that even though the green water is the dominant water resources, the blue water is also critical. Most of the blue water are transformed to green water through physically and human induced processes to meet the water demand of ecosystems. Time and spatial variability of water 15 supply and consumption forms totally different blue and green water regimes in different ecosystems. We also found that human use an increasing share of water with the decrease of the water availability. The massive water use by human reduces the water use for natural ecosystems. This indicates that natural ecosystems will take a higher risk of freshwater use when the water use competition increases. This study provides crucial information to better understand the interactions between green and blue water by assessing water resources in an explicit way. It also provides crucial implications for water 20 management aiming to make the balance between humankind and nature.

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“…This means that the green water resources are the main water resources in this area, consistent with other studies for this region (Zang et al, 2015;Zang and Liu, 2013;Zuo et al, 2015).…”

Section: Domain Averaged Green and Blue Water Flow Chartsupporting

confidence: 92%

Assessing Green and Blue Water: Understanding Interactions and Making Balance between Human and Nature

Mao

Liu

Feng

et al. 2018

Preprint

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“…It can simulate the quality and quantity of surface and groundwater to predict the influence of land management practices on the hydrology, sediment, and agrochemicals in large-scale river basins with various soil types, land use types, and management conditions. In SWAT modeling, the river basin is divided into many sub-basins and then each sub-basin can be further divided into several hydrologic response units (HRUs) [15,16]. The SWAT model simulates the hydrological cycle of the river basin according to the water balance equation.…”

Section: Swat Modelmentioning

confidence: 99%

Quantifying the Effect of Land Use Change and Climate Variability on Green Water Resources in the Xihe River Basin, Northeast China

et al. 2019

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Based on a land use interpretation and distributed hydrological model, soil and water assessment tool (SWAT), this study simulated the hydrological cycle in Xihe River Basin in northern China. In addition, the influence of climate variability and land use change on green water resources in the basin from 1995 to 2015 was analyzed. The results show that (1) The E NS (Nash-Sutcliffe model efficiency coefficient) and R 2 (coefficient of determination) were 0.94 and 0.89, respectively, in the calibration period, and 0.89 and 0.88, respectively, in the validation period. These indicate high simulation accuracy; (2) Changes in green water flow and green water storage due to climate variability accounted for increases of 2.07 mm/a and 1.28 mm/a, respectively. The relative change rates were 0.49% and 0.9%, respectively, and the green water coefficient decreased by 1%; (3) Changes in green water flow and green water storage due to land use change accounted for increases of 69.15 mm and 48.82 mm, respectively. The relative change rates were 16.4% and 37.2%, respectively, and the green water coefficient increased by 10%; (4) Affected by both climate variability and land use change, green water resources increased by 121.3 mm and the green water coefficient increased by 9% in the Xihe River Basin. It is noteworthy that the influence of land use change was greater than that of climate variability.

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“…As a result, to overcome the water scarcity in dry years, a dense network of artificial reservoirs has been built since the last Century (Mamede et al, 2012;Peter et al, 2014), whose water supplies up to 90% of the demand (de Araújo et al, 2004). However, several driving forces lead to the consistent decline of the network water availability, such as pollution (Zuo et al, 2015) and reservoir silting (de Araújo et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Runoff initiation in a preserved semiarid Caatinga small watershed, Northeastern Brazil

Figueiredo

Araújo

Costa

2016

Hydrological Processes

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Abstract:This study analyses some hydrological driving forces and their interrelation with surface-flow initiation in a semiarid Caatinga basin (12 km 2 ), Northeastern Brazil. During the analysis period (2005 -2014), 118 events with precipitation higher than 10 mm were monitored, providing 45 events with runoff, 25 with negligible runoff and 49 without runoff. To verify the dominant processes, 179 on-site measurements of saturated hydraulic conductivity (Ksat) were conducted. The results showed that annual runoff coefficient lay below 0.5% and discharge at the outlet has only occurred four days per annum on average, providing an insight to the surface-water scarcity of the Caatinga biome. The most relevant variables to explain runoff initiation were total precipitation and maximum 60-min rainfall intensity (I 60 ). Runoff always occurred when rainfall surpassed 31 mm, but it never occurred for rainfall below 14 mm or for I 60 below 12 mm h À1 . The fact that the duration of the critical intensity is similar to the basin concentration time (65 min) and that the infiltration threshold value approaches the river-bank saturated hydraulic conductivity support the assumption that Hortonian runoff prevails. However, none of the analysed variables (total or precedent precipitation, soil moisture content, rainfall intensities or rainfall duration) has been able to explain the runoff initiation in all monitored events: the best criteria, e.g. failed to explain 27% of the events. It is possible that surface-flow initiation in the Caatinga biome is strongly influenced by the root-system dynamics, which changes macro-porosity status and, therefore, initial abstraction.

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Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis

Cited by 73 publications

References 50 publications

Assessing Green and Blue Water: Understanding Interactions and Making Balance between Human and Nature

Assessing Green and Blue Water: Understanding Interactions and Making Balance between Human and Nature

Quantifying the Effect of Land Use Change and Climate Variability on Green Water Resources in the Xihe River Basin, Northeast China

Runoff initiation in a preserved semiarid Caatinga small watershed, Northeastern Brazil

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