scholarly journals ESTIMATION OF GLACIER MELT WATER IN THE TUNI LAKE CATCHMENT, BOLIVIA BY USING A WATER BALANCE METHOD

2014 ◽  
Vol 70 (4) ◽  
pp. I_421-I_426
Author(s):  
Soichiro SHIRATORI ◽  
Akira MANO ◽  
Shuichi KURE ◽  
Keiko UDO
Keyword(s):  
Water Balance ◽  
Balance Method ◽  
Glacier Melt ◽  
Water Balance Method ◽  
Melt Water ◽  
Lake Catchment

scholarly journals A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method

2016 ◽  
Vol 538 ◽  
pp. 82-95 ◽  
Author(s):  
Wenbin Liu ◽  
Lei Wang ◽  
Jing Zhou ◽  
Yanzhong Li ◽  
Fubao Sun ◽  
...  
Keyword(s):  
Water Balance ◽  
Balance Method ◽  
Water Balance Method ◽  
Basin Scale

scholarly journals Identification of the Impacts of Climate Changes and Human Activities on Runoff in the Jinsha River Basin, China

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaowan Liu ◽  
Dingzhi Peng ◽  
Zongxue Xu
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Human Activities ◽  
Climate Changes ◽  
Balance Method ◽  
Variation Method ◽  
Rainfall Runoff ◽  
Jinsha River ◽  
Water Balance Method ◽  
Double Mass

Quantifying the impacts of climate changes and human activities on runoff has received extensive attention, especially for the regions with significant elevation difference. The contributions of climate changes and human activities to runoff were analyzed using rainfall-runoff relationship, double mass curve, slope variation, and water balance method during 1961–2010 at the Jinsha River basin, China. Results indicate that runoff at upstream and runoff at midstream are both dominated by climate changes, and the contributions of climate changes to runoff are 63%~72% and 53%~68%, respectively. At downstream, climate changes account for only 13%~18%, and runoff is mainly controlled by human activities, contributing 82%~87%. The availability and stability of results were compared and analyzed in the four methods. Results in slope variation, double mass curve, and water balance method except rainfall-runoff relationship method are of good agreement. And the rainfall-runoff relationship, double mass curve, and slope variation method are all of great stability. The four methods and availability evaluation of them could provide a reference to quantification in the contributions of climate changes and human activities to runoff at similar basins in the future.

scholarly journals Evaluation of Evapotranspiration Estimates in the Yellow River Basin against the Water Balance Method

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1884 ◽  
Author(s):  
Guojie Wang ◽  
Jian Pan ◽  
Chengcheng Shen ◽  
Shijie Li ◽  
Jiao Lu ◽  
...  
Keyword(s):  
Water Balance ◽  
River Basin ◽  
Land Surface ◽  
Yellow River ◽  
Yellow River Basin ◽  
Balance Method ◽  
The Yellow River ◽  
Water Balance Method ◽  
Global Land ◽  
The Yellow River Basin

Evapotranspiration (ET), a critical process in global climate change, is very difficult to estimate at regional and basin scales. In this study, we evaluated five ET products: the Global Land Surface Evaporation with the Amsterdam Methodology (GLEAM, the EartH2Observe ensemble (E2O)), the Global Land Data Assimilation System with Noah Land Surface Model-2 (GLDAS), a global ET product at 8 km resolution from Zhang (ZHANG) and a supplemental land surface product of the Modern-ERA Retrospective analysis for Research and Applications (MERRA_land), using the water balance method in the Yellow River Basin, China, including twelve catchments, during the period of 1982–2000. The results showed that these ET products have obvious different performances, in terms of either their magnitude or temporal variations. From the viewpoint of multiple-year averages, the MERRA_land product shows a fairly similar magnitude to the ETw derived from the water balance method, while the E2O product shows significant underestimations. The GLEAM product shows the highest correlation coefficient. From the viewpoint of interannual variations, the ZHANG product performs best in terms of magnitude, while the E2O still shows significant underestimations. However, the E2O product best describes the interannual variations among the five ET products. Further study has indicated that the discrepancies between the ET products in the Yellow River Basin are mainly due to the quality of precipitation forcing data. In addition, most ET products seem to not be sensitive to the downward shortwave radiation.

scholarly journals Sugar cane crop coefficient by the soil water balance method

2015 ◽  
Vol 10 (24) ◽  
pp. 2407-2414 ◽  
Author(s):  
Greco de Guimaraes Cardoso Gabriel ◽  
Campos de Oliveira Renato ◽  
Batista Teixeira Marconi ◽  
Sergio Dorneles Milton ◽  
Marcos Oliveira Domingos Romenig ◽  
...  
Keyword(s):  
Water Balance ◽  
Soil Water ◽  
Sugar Cane ◽  
Crop Coefficient ◽  
Balance Method ◽  
Soil Water Balance ◽  
Water Balance Method

Serial water balance method for predicting leachate generation in landfills

2003 ◽  
Vol 21 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Ma. Teresa Orta De Velásquez ◽  
Reynaldo Cruz-Rivera ◽  
Neftalí Rojas-Valencia ◽  
Ignacio Monje-Ramírez ◽  
Jorge Sánchez-GóMez
Keyword(s):  
Water Balance ◽  
Balance Method ◽  
Water Balance Method

Glacier Mass Balance and Catchment-Scale Water Balance in Bolivian Andes

2016 ◽  
Vol 11 (6) ◽  
pp. 1040-1051
Author(s):  
Tong Liu ◽  
◽  
Tsuyoshi Kinouchi ◽  
Javier Mendoza ◽  
Yoichi Iwami ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Mass Balance ◽  
Balance Method ◽  
Glacier Mass Balance ◽  
Runoff Coefficient ◽  
Study Region ◽  
Bolivian Andes ◽  
Water Balance Method ◽  
Volume Relationship

In investigating glacier mass balance and water balance at Huayna Potosi West, a glacierized basin in the Bolivian Andes (Cordillera Real), we used a remote sensing method with empirical area-volume relationships, a hydrological method with runoff coefficients, and water balance method. Results suggest that remote sensing method based on the glacier area from satellite images and area-volume relationships is too imprecise to use in performing analysis in short time intervals. Glacier mass balance obtained using a new area-volume relationship was, however, similar to that obtained by the water balance method, thus proving that the new area-volume relationship is reasonable to use for analyzing glaciers within a certain size range. The hydrological method with a runoff coefficient considered glacier as the only storage for saving or contributing to runoff and nonglacier area as the only source of evaporation. We applied a fixed runoff coefficient of 0.8 without considering wet or dry seasons in nonglacier areas – a method thus sensitive to meteorological and hydrological data. We also did not consider glacier sublimation. The water balance method is applicable to the study region and excelled other methods in terms of resolution, having no empirical coefficients, and considering sublimation and evaporation. Among its few limitations are possibly underestimating evaporation and runoff over nonglacier areas during wet months and thus possibly overestimating glacier contribution at mean time.

scholarly journals Validation of Crop Coefficients and Water Requirement of Maize Crop in the Temperate Climatic Region of India

2020 ◽  
Vol 8 (5) ◽  
pp. 5132-5138
Keyword(s):  
Water Balance ◽  
Reference Evapotranspiration ◽  
Crop Coefficient ◽  
Growth Period ◽  
Water Requirement ◽  
Balance Method ◽  
Growth Stages ◽  
Maize Crop ◽  
Water Balance Method ◽  
Crop Coefficients

The field study was conducted on Lysimeter by employing the soil water balance method to compute the water requirement and Crop coefficient of Maize in the temperate climatic zone of India. Non-weighing type lysimeters (drainage type) of 2 × 1.5 × 2 m was installed to compute the irrigation requirement, actual crop evapotranspiration (ETc) and actual crop coefficient of maize by water balance method. The water requirement of maize was found 410.4 mm using lysimeter data. The mean daily reference evapotranspiration (ETo) of maize ranged from 0.91 mm/day in the starting growth period to 5.29 mm/day at midseason. The peak ETo of Maize was found 6.3mm/day. The computed crop coefficient (Kc) values of Maize for diffrent crop growth stages were 0.53 for intial, 0.93 for development , 1.05 for mid-season, and 0.78 for late season .A Correlation was also established between Penman-Monteith (P-M) and four other reference Evapotranspiration methods.

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