A distributed runoff model for the mountainous region of the Heihe River Basin (China) based on the spatial modeling environment (SME) I: model structure and equations

Jiao, Wenxian; Xu, Zhenggang

doi:10.1007/s12665-012-1793-x

Cited by 10 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From Table 10 , it can be seen that the wettest and mild warming climate without land use changes, i.e., Wettest and Warm scenario, causes the largest increase in streamflow; and the wettest and extremely warming climate with land use changes, i.e., LUCC & Wettest and Warmest scenario, induces the largest increase in ET. This is because, as reported by Jiao et al (2013) [ 96 ] and Sang et al (2014) [ 18 ], the increase of precipitation will rise both streamflow and ET whereas the increase of temperature will rise ET but reduce streamflow in the upper HRB. Meanwhile, the projected land use changes tend to increase ET and simultaneously decrease streamflow.…”

Section: Resultsmentioning

confidence: 82%

Hydrological Impacts of Land Use Change and Climate Variability in the Headwater Region of the Heihe River Basin, Northwest China

Zhang

et al. 2016

PLoS ONE

144

View full text Add to dashboard Cite

Land use change and climate variability are two key factors impacting watershed hydrology, which is strongly related to the availability of water resources and the sustainability of local ecosystems. This study assessed separate and combined hydrological impacts of land use change and climate variability in the headwater region of a typical arid inland river basin, known as the Heihe River Basin, northwest China, in the recent past (1995–2014) and near future (2015–2024), by combining two land use models (i.e., Markov chain model and Dyna-CLUE) with a hydrological model (i.e., SWAT). The potential impacts in the near future were explored using projected land use patterns and hypothetical climate scenarios established on the basis of analyzing long-term climatic observations. Land use changes in the recent past are dominated by the expansion of grassland and a decrease in farmland; meanwhile the climate develops with a wetting and warming trend. Land use changes in this period induce slight reductions in surface runoff, groundwater discharge and streamflow whereas climate changes produce pronounced increases in them. The joint hydrological impacts are similar to those solely induced by climate changes. Spatially, both the effects of land use change and climate variability vary with the sub-basin. The influences of land use changes are more identifiable in some sub-basins, compared with the basin-wide impacts. In the near future, climate changes tend to affect the hydrological regimes much more prominently than land use changes, leading to significant increases in all hydrological components. Nevertheless, the role of land use change should not be overlooked, especially if the climate becomes drier in the future, as in this case it may magnify the hydrological responses.

show abstract

Section: Resultsmentioning

confidence: 82%

Hydrological Impacts of Land Use Change and Climate Variability in the Headwater Region of the Heihe River Basin, Northwest China

Zhang

et al. 2016

PLoS ONE

144

View full text Add to dashboard Cite

show abstract

“…With the continuous development of Internet technology and the improvement of the technological level, different Internet-based music multimedia began to emerge. Music multimedia is one of the more popular types of digital music, so its automatic classification and recognition has become the focus of domestic scholars' research [1][2][3]. However, how to obtain the specific content source from the initial music multimedia data, lacking the definition of the music content, has become a huge challenge for the current automatic classification of music multimedia because the music multimedia signal belongs to a way of time sequence, which can be concealed according to its concealment.…”

Section: Introductionmentioning

confidence: 99%

Automatic Classification and Analysis of Music Multimedia Combined with Hidden Markov Model

Chen

2021

Advances in Multimedia

View full text Add to dashboard Cite

Music multimedia is one of the more popular types of digital music. This article is based on the hidden Markov model (HMM) and proposed this kind of music multimedia automatic classification method. The method not only analyzes the characteristics of traditional music in detail but also fully considers the important characteristics of other music. At the same time, it uses bagging to train two groups of HMMs and automatically classifies them to achieve a better classification effect. This paper optimizes the variable parameters from different aspects such as model structure, data form, and model change to obtain the optimal HMM parameter value. This method not only considers the prior knowledge of feature words, word frequency, and number of documents but also fuses the meaning of the feature words into the hidden Markov classification model. Finally, by testing the hidden Markov model used in this paper on the music multimedia data set, the experimental results show that the method in this paper can effectively perform automatic classification according to the melody characteristics of music multimedia.

show abstract

“…It shows that with the continuous expansion of the cultivated land area in the basin, the runoff has decreased observably since 1967. The shortage of water resource has become a restricting factor in the local economy and society's developments (Jiao et al [7,8]). The runoff from the mountain region accounts for a high proportion of the water resources in Heihe River's midstream and downstream region.…”

Section: Introductionmentioning

confidence: 99%

Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin

Fei

Huang

Cai

et al. 2017

Water

View full text Add to dashboard Cite

Abstract:The Precipitation-Runoff Modeling System (PRMS) has been applied to simulate rainfall runoff in Zamask-Yingluoxia subbasin of the Heihe River Basin in this study. By using observed data in the subbasin, the model has been calibrated by comparing model simulations of daily stream flow to observed data at Yinglouxia station for the period of summer in 2004. Then model verification was conducted by keeping the same model parameters for the simulation of the period from 1 January 2003 to 31 December 2006. Results from model verification indicate that the model is able to provide good accuracy of simulations of daily rainfall runoff and river flow at Yinglouxia station, with a Nash-Sutcliffe Efficiency coefficient of 0.90 and the root-mean-square error of 15.7 m 3 /s. The error of maximum peak flow is 6.9 m 3 /s (1.8%) and the error of mean flow is 1.4 m 3 /s (2.5%). Comparing to previous studies, results indicate the improvement of model accuracy in simulations of daily rainfall runoff. The calibrated and verified hydrological model can be used to support flood hazard mitigations and water resource management in the Zamask-Yingluoxia subbasin.

show abstract

A distributed runoff model for the mountainous region of the Heihe River Basin (China) based on the spatial modeling environment (SME) I: model structure and equations

Cited by 10 publications

References 7 publications

Hydrological Impacts of Land Use Change and Climate Variability in the Headwater Region of the Heihe River Basin, Northwest China

Hydrological Impacts of Land Use Change and Climate Variability in the Headwater Region of the Heihe River Basin, Northwest China

Automatic Classification and Analysis of Music Multimedia Combined with Hidden Markov Model

Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin

Contact Info

Product

Resources

About