Erratum: Assessing groundwater recharge in an Andean closed basin using isotopic characterization and a rainfall-runoff model: Salar del Huasco basin, Chile
نویسندگان
چکیده
منابع مشابه
Analysis of Streamflow Changes under Climate Change Using Rainfall-Runoff Model in the Kor River Basin
Abstract In this study, the predicted monthly temperature and rainfall data from HadCM3 model (base period, ۱۹۷۲-۲۰۰۱) and next period (۲۰۱۱-۲۰۴۰) under A2emission scenario were used to investigate the impacts of climate change on runoff variations in the Kor river basin. HadCM3 model output was downscaled based on a temporal downscaling approach (Change Factor) and spatial downscaling appro...
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Introduction Conclusions References Tables Figures ◭ ◮ ◭ ◮ Back Close Full Screen / Esc Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Introduction Conclusions References Tables Figures ◭ ◮ ◭ ◮ Back Close Full Screen / Esc Abstract The estimation of the peak river flow for ungauged riv...
متن کاملGroundwater Recharge Assessment: a Key Component of River Basin Management
Groundwater recharge estimates are required for the management of river basin districts under the new Water Framework Directive. Different recharge estimation techniques are described in this paper according to the following categories: inflow estimation, aquifer response analysis, outflow estimation and catchment water balance. Examples of their application in Ireland are provided. All estimat...
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The great majority of Southern African aquifers depend on rainfall for their recharge. The accurate estimation of recharge remains one of the biggest challenges for groundwater investigators. Accurate recharge estimations are needed for proper groundwater management as this governs the estimation of sustainable exploitation. Current estimates of recharge to aquifers range between 0.2 and 3% of ...
متن کاملUsing Hybrid ARIMAX-ANN Model for Simulating Rainfall - Runoff - Sediment Process Case Study: Aharchai Basin, Iran
The need for accurate modeling of rainfall-runoff-sediment processes has grown rapidly in the past decades. This study investigates the efficiency of black-box models including Artificial Neural Network (ANN) and Autoregressive Integrated Moving Average with eXogenous input (ARIMAX) models for forecasting the rainfall-runoff-sediment process. According to the complex behavior of the rainfall-ru...
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ژورنال
عنوان ژورنال: Hydrogeology Journal
سال: 2016
ISSN: 1431-2174,1435-0157
DOI: 10.1007/s10040-016-1383-1