7 Result(s)
within
Cong Jiang
Earth Sciences
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Article
Open AccessEvaluation of precipitation reanalysis products for regional hydrological modelling in the Yellow River Basin
This study evaluates six precipitation reanalysis products for the Yellow River Basin using gridded rain gauge data, runoff data and the Atmospheric and Hydrological Modelling System (AHMS) simulations. The as...
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Article
Quantifying multivariate flood risk under nonstationary condition
Risk analysis of extreme hydrological events is a key issue in the decision-making process for river basin management. For a given multivariate flood event, the corresponding flood risk under stationary condit...
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Article
Correction to: On the Applicability of the Expected Waiting Time Method in Nonstationary Flood Design
The original version of this article unfortunately contains mistakes in equations 1 and 2.
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Article
On the Applicability of the Expected Waiting Time Method in Nonstationary Flood Design
Given a changing environment, estimating a flood magnitude corresponding to a desired return period considering nonstationarity is crucial for hydrological engineering designs. Four nonstationary design method...
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Article
The effects of air temperature and precipitation on the net primary productivity in China during the early 21st century
Research on how terrestrial ecosystems respond to climate change can reveal the complex interactions between vegetation and climate. net primary productivity (NPP), an important vegetation parameter and ecolog...
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Article
An Adaptive Metropolis-Hastings Optimization Algorithm of Bayesian Estimation in Non-Stationary Flood Frequency Analysis
Global climate changing and human activities have altered the assumption of stationarity, and intensified the variation of hydrological process in recent decades. It is essential to make progress in accommodat...
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Article
Non-Stationary Annual Maximum Flood Frequency Analysis Using the Norming Constants Method to Consider Non-Stationarity in the Annual Daily Flow Series
Flood frequency analysis is concerned with fitting a probability distribution to observed data to make predictions about the occurrence of floods in the future. Under conditions of climate change, or other cha...
