scholarly journals Assessing the Impact of Gridded Precipitation Datasets on Blue and Green Water Flow Accounting with Two Hydrological Models in the Damodar River Basin, India

2021 ◽  
Author(s):  
Aiendrila Dey ◽  
Renji Remesan
2015 ◽  
Vol 10 (3) ◽  
pp. 941-950
Author(s):  
S Dora ◽  
S K Maiti ◽  
R. K Tiwary ◽  
Anshumali Singh

Damodar is an important tributary of Ganga river basin and cater the needs of industries and growing human population in the eastern part of India. Assessment of algal diversity was carried out to understand the impact of coal mining and allied industrial activities on the ecological condition of Damodar river basin. Surface water and algal samples were collected in the summer (2009) from ten sites along the Damodar River. Bio-monitoring of algal diversity showed high organic pollution load in the Damodar River. These observations were confirmed by statistical analysis. Algal community analysis and multivariate analysis showed influence of organic pollution in the river. Cluster analysis (CA) identified the similarity and dissimilarity among sampling sites and discriminate the reference site from rest of the impacted sites in the Damodar river basin.


Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1122 ◽  
Author(s):  
Xuan Zhang ◽  
Yang Xu ◽  
Fanghua Hao ◽  
Chong Li ◽  
Xiao Wang

With increased attention paid to the changes of global climate, the impacts on hydrological processes remain poorly understood in specific basins. In this study, we selected Luanhe River Basin, which is an important source of water supply to Beijing and Hebei, as a case study for the analysis of the combined impact of precipitation and temperature change to hydrological components in a semi-arid river basin. This study investigated the change of the blue water flow (BWF), green water flow (GWF), and green water storage (GWS) by employing the SWAT (Soil and Water Assessment Tool) model and stochastic methods in different time scales during 1960 to 2017. The contribution of climate changes to hydrological change were quantified by 16 hypothetical scenarios by recombining climatic data. The results show that the annual daily maximum and minimum temperature (Tmax, Tmin) increased while their differences (DTR) decreased. However, there was no significant trend in annual precipitation and hydrological components. The trend of precipitation has a positive impact to the change of all three hydrological components. Although precipitation contributes more to changes in hydrological components, more attention also needs to be given to the change of DTR, which has positive impact of GWF that contrasts with that of BWF and GWS. Seasonal scale studies of these changes suggested that more attention should be paid to the climate change in spring and winter when the hydrological components were more sensitive to climate change. Our results summarized hydrological components variability under the impact of climate change and demonstrated the importance of analyses at different time scales, which was expected to provide a reference for water resources management in other semi-arid river basins.


2005 ◽  
Vol 48 (8) ◽  
pp. 1014-1028 ◽  
Author(s):  
Abhay Kumar Singh ◽  
G. C. Mondal ◽  
P. K. Singh ◽  
S. Singh ◽  
T. B. Singh ◽  
...  

2019 ◽  
Vol 11 (2) ◽  
pp. 338 ◽  
Author(s):  
Leting Lyu ◽  
Xiaorui Wang ◽  
Caizhi Sun ◽  
Tiantian Ren ◽  
Defeng Zheng

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 ENS (Nash-Sutcliffe model efficiency coefficient) and R2 (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.


2013 ◽  
Vol 10 (7) ◽  
pp. 9477-9504 ◽  
Author(s):  
C. Zang ◽  
J. Liu ◽  
L. Jiang ◽  
D. Gerten

Abstract. Human activities and climate factors both affect the availability of water resources and the sustainability of water management. Especially in already dry regions, water has become more and more scarce with increasing requirements from growing population, economic development and diet shifts. Although progress has been made in understanding variability of runoff, the impacts of climate variability and human activities on flows of both green water (actual evapotranspiration) and blue water (discharge accumulated in the river network) remain less well understood. We study the spatial patterns of blue and green water flows and the impacts on them of human activities and climate variability as simulated by the Soil and Water Assessment Tool (SWAT) for an inland Heihe river basin located in Northwest China. The results show that total green and blue water flow increased from 1980 to 2005, mainly as a result of climate variability (upward precipitation trends). Direct human activities did not significantly change the total green and blue water flow. However, land use change led to a transformation of 206 million m3 from green to blue water flow, while farmland irrigation expansion resulted in a transformation of 66 million m3 from blue to green water flow. The synchronous climate variability caused an increase of green water flow by 469 million m3 and an increase of blue water flow by 146 million m3 at the river basin level, while the geographical distribution showed an uneven change even with reductions of water flows in western sub-basins at midstream. The results are helpful to benchmark the water resources in the context of global change in the inland river basins in China. This study also provides a general approach to investigate the impacts of historical human activities and climate variability on green and blue water flows at the river basin level.


2015 ◽  
Vol 6 (4) ◽  
pp. 800-815 ◽  
Author(s):  
Chuanfu Zang ◽  
Junguo Liu ◽  
Dieter Gerten ◽  
Luguang Jiang

Human activities and climate simultaneously affect water cycling and provision. Here, we study the impacts of climate variability and human activities on green and blue water provision (or the flows of both green water and blue water) in the inland Heihe River Basin as simulated by the Soil and Water Assessment Tool (SWAT). The results show that total green and blue water flow varied significantly from 1980 to 2010. Direct human activities did not significantly change the sum of green and blue water flow volumes. However, land use change led to a transformation of 206 million m3/year in the entire river basin from green to blue water flow, while farmland irrigation expansion resulted in a transformation of 66 million m3 from blue to green water flow. The synchronous climate variability, with an upward precipitation trend, caused an increase of green water flow by 469 million m3/year and an increase of blue water flow by 146 million m3/year at the river basin level over the study period. The results provide a general approach to investigate the impacts of historical human activities and climate variability on water provision at the river basin level.


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