scholarly journals Anomalies in terrestrial hydrological cycle – India

MAUSAM ◽  
2021 ◽  
Vol 57 (4) ◽  
pp. 639-652
Author(s):  
A. A. L. N. SARMA ◽  
S. SRINIVAS
Keyword(s):  
Water Balance ◽  
Hydrological Cycle ◽  
Hydrological Regime ◽  
Water Balance Model ◽  
Climate System ◽  
Balance Model ◽  
The World ◽  
Hydrological Fluxes

bl 'kks/k&i= esa ;g crk;k x;k gS fd lewps fo’o esa fo|eku izkÑfrd lalk/kuksa ds nksguksa ¼VsªLM QqVfizaV½ ds QyLo:Ik fo’o tyok;q Ik)fr vO;ofLFkr gks tkrh gSA tks {ks=h; leL;kvksa lesr fo’o tyh; pØ dks vkSj vf/kd rhoz djus ds fy, mRrjnk;h ekuh tk ldrh gSA bl 'kks/k&i= esa ty larqyu fun’kZ ds ek/;e ls Hkkjr esa tyh; {ks= ds ekeys esa bl rF; dks le>us dk iz;kl fd;k x;k gSA bl laca/k esa dh xbZ tk¡p ls eq[;r% lewps Hkkjr ds tyh; QyDlksa ij bulks@yulks flXuy ds tyok;q laca/kh nwj laidZ ds izHkkoksa dh tkudkjh izkIr gqbZ gSA       It is reported that the traced footprints across the world are the consequences of the perturbed world climate system that might be responsible in intensifying the world hydrological cycle with regional implications. An attempt is made here to understand this fact in case of hydrological regime over India through water balance model. The investigation mainly addresses the climate teleconnection impacts of ENSO/LNSO signal on the hydrological fluxes for All India.

Assessment of interbasin groundwater flows between catchments using a semi-distributed water balance model

2014 ◽  
Vol 519 ◽  
pp. 1848-1858 ◽  
Author(s):  
Francisco Pellicer-Martínez ◽  
José Miguel Martínez-Paz
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model

A simple distributed water balance model for an urbanized river basin using remote sensing and GIS techniques

2019 ◽  
Vol 35 (9) ◽  
pp. 954-975
Author(s):  
Olutoyin Adeola Fashae ◽  
Rotimi Oluseyi Obateru ◽  
Adeyemi Oludapo Olusola
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Water Balance Model ◽  
Balance Model ◽  
Gis Techniques

scholarly journals GlobWat – a global water balance model to assess water use in irrigated agriculture

2015 ◽  
Vol 19 (9) ◽  
pp. 3829-3844 ◽  
Author(s):  
J. Hoogeveen ◽  
J.-M. Faurès ◽  
L. Peiser ◽  
J. Burke ◽  
N. van de Giesen
Keyword(s):  
Water Balance ◽  
Water Use ◽  
Open Water ◽  
Water Balance Model ◽  
Green Water ◽  
Balance Model ◽  
Irrigated Agriculture ◽  
High Resolution Data ◽  
Food And Agriculture ◽  
Global Water

Abstract. GlobWat is a freely distributed, global soil water balance model that is used by the Food and Agriculture Organization (FAO) to assess water use in irrigated agriculture, the main factor behind scarcity of freshwater in an increasing number of regions. The model is based on spatially distributed high-resolution data sets that are consistent at global level and calibrated against values for internal renewable water resources, as published in AQUASTAT, the FAO's global information system on water and agriculture. Validation of the model is done against mean annual river basin outflows. The water balance is calculated in two steps: first a "vertical" water balance is calculated that includes evaporation from in situ rainfall ("green" water) and incremental evaporation from irrigated crops. In a second stage, a "horizontal" water balance is calculated to determine discharges from river (sub-)basins, taking into account incremental evaporation from irrigation, open water and wetlands ("blue" water). The paper describes the methodology, input and output data, calibration and validation of the model. The model results are finally compared with other global water balance models to assess levels of accuracy and validity.

scholarly journals Water balance model and eucalyptus growth simulation in the rio doce basin, Brazil - doi: 10.4025/actasciagron.v35i4.16955

2013 ◽  
Vol 35 (4) ◽  
Author(s):  
Welliam Chaves Monteiro Silva ◽  
Aristides Ribeiro ◽  
Júlio Cesar Lima Neves ◽  
Nairam Felix de Barros ◽  
Fernando Palha Leite
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model ◽  
Growth Simulation

Simulating pan-Arctic runoff with a macro-scale terrestrial water balance model

2003 ◽  
Vol 17 (13) ◽  
pp. 2521-2539 ◽  
Author(s):  
Michael A. Rawlins ◽  
Richard B. Lammers ◽  
Steve Frolking ◽  
Bal�zs M. Fekete ◽  
Charles J. Vorosmarty
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model ◽  
Macro Scale ◽  
Terrestrial Water

Late Pleistocene climate inferences from a water balance model of Jakes Valley, Nevada (USA)

2016 ◽  
Vol 56 (2-3) ◽  
pp. 109-122 ◽  
Author(s):  
Cornelia Barth ◽  
Douglas P. Boyle ◽  
Benjamin J. Hatchett ◽  
Scott D. Bassett ◽  
Christopher B. Garner ◽  
...  
Keyword(s):  
Water Balance ◽  
Late Pleistocene ◽  
Water Balance Model ◽  
Balance Model ◽  
Pleistocene Climate

Stochastic soil moisture dynamic modelling: a case study in the Loess Plateau, China

2018 ◽  
Vol 109 (3-4) ◽  
pp. 437-444
Author(s):  
Cong WANG ◽  
Shuai WANG ◽  
Bojie FU ◽  
Lu ZHANG ◽  
Nan LU ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Loess Plateau ◽  
Hydrological Cycle ◽  
Dynamic Modelling ◽  
Vegetation Restoration ◽  
Balance Model ◽  
Rainfall Regime ◽  
The Loess Plateau ◽  
Dry Period

ABSTRACTSoil moisture is a key factor in the ecohydrological cycle in water-limited ecosystems, and it integrates the effects of climate, soil, and vegetation. The water balance and the hydrological cycle are significantly important for vegetation restoration in water-limited regions, and these dynamics are still poorly understood. In this study, the soil moisture and water balance were modelled with the stochastic soil water balance model in the Loess Plateau, China. This model was verified by monitoring soil moisture data of black locust plantations in the Yangjuangou catchment in the Loess Plateau. The influences of a rainfall regime change on soil moisture and water balance were also explored. Three meteorological stations were selected (Yulin, Yan'an, and Luochuan) along the precipitation gradient to detect the effects of rainfall spatial variability on the soil moisture and water balance. The results showed that soil moisture tended to be more frequent at low levels with decreasing precipitation, and the ratio of evapotranspiration under stress in response to rainfall also changed from 74.0% in Yulin to 52.3% in Luochuan. In addition, the effects of a temporal change in rainfall regime on soil moisture and water balance were explored at Yan'an. The soil moisture probability density function moved to high soil moisture in the wet period compared to the dry period of Yan'an, and the evapotranspiration under stress increased from 59.5% to 72% from the wet period to the dry period. The results of this study prove the applicability of the stochastic model in the Loess Plateau and reveal its potential for guiding the vegetation restoration in the next stage.

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