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Journal ArticleDOI

Separating the impacts of climate change and human activities on runoff using the Budyko-type equations with time-varying parameters

TLDR
In this article, a two-step framework based on four single-parameter Budyko-type equations is proposed to separate the impacts of climate change and human activities on runoff.
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This article is published in Journal of Hydrology.The article was published on 2015-03-01. It has received 245 citations till now. The article focuses on the topics: Runoff curve number & Runoff model.

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Citations
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Journal ArticleDOI

The propagation from meteorological to hydrological drought and its potential influence factors

TL;DR: Wang et al. as discussed by the authors investigated the propagation time from meteorological to hydrological drought and its potential influence factors, which helps to reveal the drought propagation process, thereby being helpful for drought mitigation.
Journal ArticleDOI

Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions

TL;DR: A comprehensive review of different approaches used by research community to isolate the impacts of climate change and human activities on streamflow is presented in this paper, where the important issues pertaining to different approaches, to make rational use of methodology, are discussed so that researcher and policymaker can understand the importance of individual methodology and its use in water resources management.

Vegetation control on water and energy balance within the Budyko framework

TL;DR: In this paper, a simple parameterization for the Budyko curve parameter based solely on remotely sensed vegetation information is proposed, which improves predictions of annual actual evapotranspiration by reducing the root mean square error (RMSE) from 76 mm to 47 mm.
Journal ArticleDOI

Contribution analysis of the long-term changes in seasonal runoff on the Loess Plateau, China, using eight Budyko-based methods

TL;DR: In this paper, the authors used a technique involving integrated climate elasticity and eight Budyko-based methods to assess the relative impacts of climate change and human activities on runoff changes during high-flow and low-flow seasons in 17 catchments across the Loess Plateau during the period of 1961-2013.
Journal ArticleDOI

Return period and risk analysis of nonstationary low-flow series under climate change

TL;DR: In this article, the authors employed meteorological covariates in the non-stationary frequency analysis to improve the characterization of nonstationary return period and risk under the expected waiting time (EWT) and expected number of exceedances (ENE) interpretation.
References
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Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Book

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Journal ArticleDOI

River flow forecasting through conceptual models part I — A discussion of principles☆

TL;DR: In this article, the principles governing the application of the conceptual model technique to river flow forecasting are discussed and the necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.
Journal ArticleDOI

Nonparametric tests against trend

Henry B. Mann
- 01 Jul 1945 - 

ANew Look at the Statistical Model Identification

TL;DR: In this paper, the authors reviewed the history of statistical hypothesis testing in time series analysis and pointed out that the hypothesis testing procedure is not adequately defined as the procedure for statistical model identification.
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