Estimates of Monthly Ground-Water Recharge to the Yakima River Basin Aquifer System, Washington, 1960-2001, for Current Land-Use and Land-Cover Conditions

2007 ◽  
Author(s):  
J.J. Vaccaro ◽  
T.D. Olsen
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Ground Water ◽  
River Basin ◽  
Aquifer System ◽  
Ground Water Recharge ◽  
Water Recharge ◽  
Yakima River

scholarly journals Assessing the Effect of Land-Use and Land-Cover Change on Groundwater Recharge in Akaki Catchment, Central Ethiopia.

2019 ◽  
Vol 8 (4) ◽  
pp. 8153-8160
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Ground Water ◽  
Satellite Image ◽  
Ethiopian Rift ◽  
Main Ethiopian Rift ◽  
Ground Water Recharge ◽  
Water Recharge ◽  
Major Factors ◽  
The Impact

Land-Use and Land-cover (LU/LC) changes are the major factors influencing catchment hydrology. Thus, understanding the impact of LU/LC on recharge is important for management of water resources. The present study area is located in the central Ethiopian highlands of the Main Ethiopian Rift. The main objective of this study was to determine the LU/LC change of Akaki catchment between the year1986−2015 G.C and to evaluate the impact of these changes on recharge. To analyze the changes in area over the time, a satellite image was obtained for the years 1986, 2000 and 2015. The methodology consists three steps. First land-cover (LC) maps of the year 1986, 2000 and 2015 were compiled. Secondly, the relationship between hydro meteorological elements and recharge has investigated. Finally, WetSpass modeling was applied to estimate the seasonal and annual ground water recharge. The model was run for the three different years LC maps keeping the other parameters constant. Hence, the result reflects impact of LULC change on recharge. The simulated results of the model indicates that the mean annual recharge was decreasing from 268.6 mm/y for land‒use(LU) map of 1986 to 264.9 mm/y and 260 mm/y for LU maps of 2000 and 2015, respectively. The Study outputs indicated that recharge in the catchment did not change significantly. However, LULC had remarkable variation in the period between1986 and 2015. This result provides a better understanding of the spreading situation of Akaki catchment which would support decision making process to control the ground water conditions.

Multicell Model for Ground Water Recharge Analysis: The Ibi River Basin, Japan

Ground Water ◽  
1999 ◽  
Vol 37 (1) ◽  
pp. 58-69 ◽  
Author(s):  
Takeshi Sato ◽  
Junichi Kojima ◽  
Hugo A. Loaiciga
Keyword(s):  
Ground Water ◽  
River Basin ◽  
Ground Water Recharge ◽  
Water Recharge

REOF analysis of ground water level variation in an Urban hard rock aquifer system

2021 ◽  
Author(s):  
Vineeth Vijayan ◽  
Parthasarathy Ramachandran
Keyword(s):  
Ground Water ◽  
Water Level ◽  
Hard Rock ◽  
Ground Water Level ◽  
Level Variation ◽  
Water Level Variation ◽  
Aquifer System ◽  
Ground Water Recharge ◽  
Water Recharge ◽  
Hard Rock Aquifer

<p>Strategies for sustainable ground water management are to be planned at regional scale. Urban ground water recharge is complex and dynamic. Various factors contribute to ground water level variation. Understanding the ground water recharge components is essential in planning and management of the water resources in any city. This study attempts to understand the spatiotemporal variations of an urban hard rock aquifer system in Bengaluru, India using REOF analysis and Kriging. Bengaluru meets its needs of water supply from river Cauvery. The water supply utility has an increasing block tariff to control the water demand in the city. But it measures only the use of surface water that is being supplied by the utility. Ground water, being a free resource, bridges the demand supply gap in the city. More than half of the water demand in the city is met through ground water. Hence it is essential to understand the components of ground water level variation in this hard rock aquifer system. Rotated empirical orthogonal function (REOF) analysis of monthly piezometric heads from 153 monitoring wells measured during 2015-2017 is used to identify the primary ground water recharge components. The major components of ground water level variation in the study area was identified as rainfall and pipeline leakage. Ordinary Kriging was used to regionalize the identified significant empirical orthogonal functions.</p>

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