scholarly journals Response of Streamflow to Climate Changes in the Yellow River Basin, China

2011 ◽  
Vol 12 (5) ◽  
pp. 1113-1126 ◽  
Author(s):  
Zhifeng Yang ◽  
Qiang Liu
Keyword(s):  
River Basin ◽  
Climate Changes ◽  
Yellow River ◽  
Temporal Trends ◽  
Yellow River Basin ◽  
Baseline Period ◽  
The Yellow River ◽  
Basin Scale ◽  
The Yellow River Basin ◽  
The Impact

Abstract Climate changes impact hydrological processes and control streamflow at the basin scale. The present study was conducted to investigate the impact of climate change on streamflow in the Yellow River basin (YRB), China. The temporal trends of streamflow were explored by the Mann–Kendall method and a linear fit model, and the relationships between streamflow, precipitation, and potential evapotranspiration (ETp) were investigated. Furthermore, the contribution of climate changes to streamflow was revealed by Budyko’s method and a simple water balance model. The following results were obtained: (i) decreasing abruptness in streamflow occurred in 1990, and this date was used to divide the streamflow into two periods (baseline period and period of change); (ii) 67 of 80 stations showed decreasing trends with an average reduction of 10.37% of annual precipitation changes, while most of the stations displayed increasing trends with a 3.71% increase in annual ETp; (iii) the precipitation and ETp elasticity of streamflow, as expected, revealed that streamflow increases with increasing precipitation, whereas it decreases with increasing ETp; and (iv) the changes of precipitation and ETp reflected complementary effects on the reduction of streamflow from the baseline period to the period of change, the decreasing trend in precipitation being the main cause for the reduction of streamflow, but the declining rates of ETp causing a slight increase in streamflow.

scholarly journals Reliability of Gridded Precipitation Products in the Yellow River Basin, China

2020 ◽  
Vol 12 (3) ◽  
pp. 374 ◽  
Author(s):  
Yanfen Yang ◽  
Jing Wu ◽  
Lei Bai ◽  
Bing Wang
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Tropical Rainfall Measuring Mission ◽  
Yellow River Basin ◽  
Superior Performance ◽  
The Yellow River ◽  
Basin Scale ◽  
Precipitation Estimation ◽  
Precipitation Analysis ◽  
The Yellow River Basin

Gridded precipitation products are the potential alternatives in hydrological studies, and the evaluation of their accuracy and potential use is very important for reliable simulations. The objective of this study was to investigate the applicability of gridded precipitation products in the Yellow River Basin of China. Five gridded precipitation products, i.e., Multi-Source Weighted-Ensemble Precipitation (MSWEP), CPC Morphing Technique (CMORPH), Global Satellite Mapping of Precipitation (GSMaP), Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis 3B42, and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), were evaluated against observations made during 2001−2014 at daily, monthly, and annual scales. The results showed that MSWEP had a higher correlation and lower percent bias and root mean square error, while CMORPH and GSMaP made overestimations compared to the observations. All the datasets underestimated the frequency of dry days, and overestimated the frequency and the intensity of wet days (0–5 mm/day). MSWEP and TRMM showed consistent interannual variations and spatial patterns while CMORPH and GSMaP had larger discrepancies with the observations. At the sub-basin scale, all the datasets performed poorly in the Beiluo River and Qingjian River, whereas they were applicable in other sub-basins. Based on its superior performance, MSWEP was identified as more suitable for hydrological applications.

scholarly journals Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

2021 ◽  
Vol 18 (19) ◽  
pp. 10231
Author(s):  
Yu Chen ◽  
Xuyang Su ◽  
Qian Zhou
Keyword(s):  
Influencing Factors ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Indicator System ◽  
Theil Index ◽  
The Yellow River ◽  
Urban Resilience ◽  
The Yellow River Basin ◽  
The Impact

The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.

scholarly journals The effects of rainfall characteristics and land use and cover change on runoff in the Yellow River basin, China

2021 ◽  
Vol 69 (1) ◽  
pp. 29-40
Author(s):  
CaiHong Hu ◽  
Guang Ran ◽  
Gang Li ◽  
Yun Yu ◽  
Qiang Wu ◽  
...  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Vegetation Coverage ◽  
Water Yield ◽  
The Yellow River ◽  
Rainfall Events ◽  
The Yellow River Basin ◽  
The Impact

AbstractThe changes of runoff in the middle reaches of the Yellow River basin of China have received considerable attention owing to their sharply decline during recent decades. In this paper, the impacts of rainfall characteristics and land use and cover change on water yields in the Jingle sub-basin of the middle reaches of the Yellow River basin were investigated using a combination of statistical analysis and hydrological simulations. The Levenberg Marquardt and Analysis of Variance methods were used to construct multivariate, nonlinear, model equations between runoff coefficient and rainfall intensity and vegetation coverage. The land use changes from 1971 to 2017 were ascertained using transition matrix analysis. The impact of land use on water yields was estimated using the M-EIES hydrological model. The results show that the runoff during flood season (July to September) decreased significantly after 2000, whereas slightly decreasing trend was detected for precipitation. Furthermore, there were increase in short, intense, rainfall events after 2000 and this rainfall events were more conducive to flood generation. The “Grain for Green” project was carried out in 1999, and the land use in the middle reaches of the Yellow River improved significantly, which make the vegetation coverage (Vc) of the Jingle sub-basin increased by 13%. When Vc approaches 48%, the runoff coefficient decreased to the lowest, and the vegetation conditions have the greatest effect on reducing runoff. Both land use and climate can change the water yield in the basin, but for areas where land use has significantly improved, the impact of land use change on water yield plays a dominant role. The results acquired in this study provide a useful reference for water resources planning and soil and water conservation in the erodible areas of the middle reaches of the Yellow River basin.

scholarly journals Application of Entropy Method to Quantify Future Ecological Flow in the Yellow River Basin

Entropy ◽  
2021 ◽  
Vol 24 (1) ◽  
pp. 72
Author(s):  
Xinru Wang ◽  
Huijuan Cui
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Human Beings ◽  
Ecological Flow ◽  
The Future ◽  
The Yellow River Basin ◽  
The Impact

Due to both anthropogenic and climate change impacts, precipitation and runoff in the Yellow River basin have decreased in the past 50 years, leading to more pressure in sustaining human beings and ecosystem needs. It is essential to evaluate the flow condition in the Yellow River basin and see whether it may satisfy its ecological flow in the future. Therefore, this study applied an entropy-based method to calculate the flow duration curves from both observed and simulated data to evaluate the impact of climate change on ecological flow in the Yellow River basin. The simulated FDCs from H08 and DBH models show good agreement with each other and fit observation well. Results show that the decadal FDC at each station is generally predicted to be higher or stay in the higher range under both RCP 2.6 and 8.5 scenarios, suggesting an increase in water amount in the future. It is found that the high flows increase much faster than the low flows, resulting in larger slopes than the references ones, which is due to the larger entropy and M values in the future. At most of the stations, the future values of Q95 and Q90 will safely exceed the threshold. It is found that at the Lanzhou, Wubao, Longmen, and Huayuankou stations, there will be no or little threat to future ecological flow. Still, at the Toudaoguai and Sanmanxia stations, the ecological requirement is not always satisfied. The water stress at the Tangnaihai station from the upper stream of the Yellow River may be threatened in the future.

scholarly journals Influencing factors and their interactions of water erosion based on yearly and monthly scale analysis: A case study in the Yellow River basin of China

2019 ◽  
Author(s):  
Ting Hua ◽  
Wenwu Zhao ◽  
Yanxu Liu ◽  
Yue Liu
Keyword(s):  
Soil Erosion ◽  
Influencing Factors ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Spatiotemporal Variability ◽  
The Yellow River ◽  
Monthly Scale ◽  
Basin Scale ◽  
The Yellow River Basin

Abstract. In the Yellow River basin, soil erosion is a significant natural hazard problem, seriously hindering the sustainable development of society. An in-depth assessment of soil erosion and a quantitative identification of the influencing factors are important and fundamental for soil and water conservation. The RUSLE model and geographical detector method were applied to evaluate and identify the dominant factors and spatiotemporal variability in the Yellow River basin. We found that topographical factors such as slope and surface roughness were the dominant factors influencing the spatial distribution of soil erosion in the Yellow River basin, while rainfall and vegetation were as follows. In the period of low rainfall and vegetation coverage, the interaction of rainfall and slope can enhance their impact on the distribution of soil erosion, while the combination of vegetation and slope was the dominant interacting factor in other periods. The dominant driving factors of soil erosion variability were affected by changes in rainfall, but the contribution decreased. The spatial and temporal heterogeneity of soil erosion on a monthly scale was higher, and July had the highest amount of soil erosion with a multi-year average of 12.385 ton/(km²·a). The results provide a better understanding of the relationships between soil erosion and its latent factors in the Yellow River basin. Given the temporal and spatial heterogeneity effects of geographical conditions, especially at the basin scale, policy-makers should form a collaborative environmental governance framework to minimize the risk of soil erosion.

scholarly journals Thoughts on Jinan's Establishment of the National Central City of China's Yellow River Basin

2020 ◽  
Vol 6 (2) ◽  
pp. 21
Author(s):  
Zhe Zhang ◽  
Xiaochang Chu
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Municipal Government ◽  
Central City ◽  
Yellow River Basin ◽  
Urban Agglomeration ◽  
The Yellow River ◽  
Central Cities ◽  
The Yellow River Basin ◽  
The Impact

<p>The national central city is not a single existence, and it must be based on the national-level urban agglomeration. At the same time, it must have superior geographical advantages and rich natural resources as the basis for development. Urban agglomeration promotes national central cities; on the contrary, national central cities can also drive the common development of urban agglomerations. During the National People’s Congress and National Committee of the Chinese People’s Political Consultative Conference this year, Jinan Municipal Government proposed to create a national central city in the Yellow River Basin as the development goal. In this article, the measures taken by Jinan Municipal Government to create the national central city of the Yellow River Basin are put forward, and the impact of the surrounding urban agglomeration on the development of Jinan is pointed out. Meanwhile, the opportunities and challenges that Jinan will bring to the surrounding urban agglomeration by establishing the national central city are elaborated.</p>

scholarly journals Resource Endowment, Industrial Structure, and Green Development of the Yellow River Basin

2021 ◽  
Vol 13 (8) ◽  
pp. 4530
Author(s):  
Kang Zhao ◽  
Rui Zhang ◽  
Hong Liu ◽  
Geyi Wang ◽  
Xialing Sun
Keyword(s):  
Environmental Protection ◽  
River Basin ◽  
Industrial Structure ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Green Development ◽  
Resource Endowment ◽  
The Yellow River Basin ◽  
The Impact

The Yellow River Basin is an important energy base of China, and its green development is crucial to Chinese economic transformation. In this paper, we calculate the green total factor productivity (GTFP) to measure the green development level of the Yellow River Basin by using an Slack Based Model- Global Malmquist-Luenberger (SBM-GML) index model. On this basis, we use a Generalized Method of Moments (GMM) model to further analyze the impact of resource endowment and industrial structure on the green development of cities. The results show that resource endowment inhibits the green development of cities and that the resource curse is observed in the Yellow River Basin. The industrial structure advancement significantly promotes the green development of cities. The impact of industrial structure rationalization on green development varies significantly on the type of city. Specifically, it has an inhibiting effect on key environmental protection cities but a promoting effect on non-key environmental protection cities.

Sign in / Sign up

Export Citation Format

Share Document