scholarly journals Evaluation of Environmental and Ecological Impacts of the Leading Large-Scale Reservoir on the Upper Reaches of the Yellow River

2019 ◽  
Vol 11 (14) ◽  
pp. 3818
Author(s):  
Jun Qiu ◽  
Tie-Jian Li ◽  
Fang-Fang Li
Keyword(s):  
Flood Control ◽  
Large Scale ◽  
Yellow River ◽  
Yellow River Basin ◽  
Water Area ◽  
Economic Benefits ◽  
Control Area ◽  
Ecological Impacts ◽  
The Yellow River ◽  
Water Demands

Large-scale reservoirs have played a significant role in meeting various water demands and socio-economic development, while they also lead to undeniable impacts on the environment and ecology. The Longyangxia reservoir located on the Yellow River is the first large-scale reservoir on the upper Yellow River with a control area of 18% of the entire Yellow River Basin. Since it was put into operation in 1987, it has made great contributions to the national economy for over 30 years. In this study, the socio-economic benefits of the Longyangxia reservoir in power generation, water supply, flood control, and ice prevention are investigated. More importantly, its impacts on the ecology and environment are also presented and analyzed, such as the impacts on river morphology, flow regimes, peak flow, fish, phytoplankton, and zooplankton. It can be concluded that the construction of the Longyangxia reservoir contributes greatly to socio-economic benefits, the water area nearby has formed a new ecological environment, and the trophic level of the aquatic environment has probably increased.

scholarly journals Drought Evaluation with CMORPH Satellite Precipitation Data in the Yellow River Basin by Using Gridded Standardized Precipitation Evapotranspiration Index

2019 ◽  
Vol 11 (5) ◽  
pp. 485 ◽  
Author(s):  
Fei Wang ◽  
Haibo Yang ◽  
Zongmin Wang ◽  
Zezhong Zhang ◽  
Zhenhong Li
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Large Scale ◽  
Drought Index ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Precipitation Data ◽  
Standardized Precipitation Evapotranspiration Index ◽  
The Yellow River Basin

The traditional station-based drought index is vulnerable because of the inadequate spatial distribution of the station, and also, it does not fully reflect large-scale, dynamic drought information. Thus, large-scale drought monitoring has been widely implemented by using remote sensing precipitation products. Compared with station data, remote sensing precipitation products have the advantages of wide coverage and dynamic, continuous data, which can effectively compensate for the deficiency in the spatial distribution of the ground stations and provide a new data source for the calculation of a drought index. In this study, the Gridded Standardized Precipitation Evapotranspiration Index (GSPEI) was proposed based on a remote sensing dataset produced by the Climate Prediction Center morphing technique (CMORPH), in order to evaluate the gridded drought characteristics in the Yellow River basin (YRB) from 1998 to 2016. The optimal Ordinary Kriging interpolation method was selected to interpolate meteorological station data to the same spatial resolution as CMORPH data (8 km), in order to compare the ground-based meteorological parameters to remote sensing-based data. Additionally, the gridded drought trends were identified based on the Modified Mann–Kendall (MMK) trend test method. The results indicated that: (1) the GSPEI was suitable for drought evaluation in the YRB using CMORPH precipitation data, which were consistent with ground-based meteorological data; (2) the positive correlation between GSPEI and SPEI was high, and all the correlation coefficients (CCs) passed the significance test of α = 0.05, which indicated that the GSPEI could better reflect the gridded drought characteristics of the YRB; (3) the drought severity in each season of the YRB was highest in summer, followed by spring, autumn, and winter, with an average GSPEI of −1.51, −0.09, 0.30, and 1.33, respectively; and (4) the drought showed an increasing trend on the monthly scale in March, May, August, and October, and a decreasing trend on the seasonal and annual scale.

Effect of Projects within River Courses on Flood Control through Superposition Calculation Method

2014 ◽  
Vol 641-642 ◽  
pp. 167-170
Author(s):  
Xin Liu ◽  
Feng Qun Wang ◽  
Juan Du ◽  
Li Qin Li
Keyword(s):  
Calculation Method ◽  
Flood Control ◽  
Yellow River ◽  
Water Area ◽  
The Yellow River ◽  
Actual Situation ◽  
River Floodplain ◽  
Floodplain Development ◽  
Scientific Decision ◽  
Control Management

Henan Yellow River floodplain is the area for flood flowing, flood detention and sand sediment; it is also necessary for the production and living. With the rapid economic development along the Yellow River, floodplain development is increasing, occupying some land and water area. Due to the lack of unified planning, they have brought certain difficulties to flood control management and scientific decision-making. This paper first proposed specific superposition scope and calculation method for projects within river courses. Compared with the previous single calculation of backwater and scouring, it more truly, accurately reflect the actual situation of projects within river courses.

scholarly journals Water Conservation Estimation Based on Time Series NDVI in the Yellow River Basin

2021 ◽  
Vol 13 (6) ◽  
pp. 1105
Author(s):  
Yangchengsi Zhang ◽  
Jiaqiang Du ◽  
Long Guo ◽  
Zhilu Sheng ◽  
Jinhua Wu ◽  
...  
Keyword(s):  
Time Series ◽  
Water Conservation ◽  
Large Scale ◽  
Yellow River ◽  
Yellow River Basin ◽  
Support Vector ◽  
The Yellow River ◽  
Grassland Ecosystem ◽  
Line Planning ◽  
The Yellow River Basin

Accurate estimation of the water conservation is of great significance for ecological red line planning. The water conservation of the Yellow River Basin has a vital influence on the development of the environment and the supply of ecological services in China. However, the existing methods used to estimate water conservation have many disadvantages, such as requiring numerous parameters, a complex calculation model, and using data that is often difficult acquire. It is often hard to provide sufficiently precise parameters and data, resulting in a large amount of calculation time and the difficulties in the study of large scale and long time series. In this study, a time series of the Normalized Difference Vegetation Index (NDVI) was applied to estimate water conservation in two aspects using the idea of wholeness and stratification, respectively. The overall fitting results can explain nearly 30% of the water conservation by partial least squares regression and nearly 50% of it by a support vector machine. However, the results of a stratified simulation showed that water conservation and the NDVI have a certain stratified heterogeneity among different ecosystem types. The optimal fitting result was achieved in a water/wetland ecosystem with the highest coefficient of determination (R2P) of 0.768 by the stratified support vector machine (SVM) model, followed by the forest and grassland ecosystem (both R2P of 0.698). The spatial mapping results showed that this method was most suitable for grassland ecosystem, followed by forest ecosystem. According to the results generated using the NDVI time series data, it is feasible to complete a spatial simulation of water conservation. This research can provide a reference for calculating regional or large-scale water conservation and in ecological red line planning.

scholarly journals Comprehensive Evaluation of Land Use Benefit in the Yellow River Basin from 1995 to 2018

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 643
Author(s):  
Zehui Chen ◽  
Qianxi Zhang ◽  
Fei Li ◽  
Jinli Shi
Keyword(s):  
Land Use ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Economic Benefits ◽  
Land Policy ◽  
The Yellow River ◽  
Ecological Benefits ◽  
Spatial Differences ◽  
The Yellow River Basin

Land resources are the basis of human survival and development. Land use benefit is the embodiment of land input-output ability. As an important economic zone and ecological barrier in China, it is important to calculate the land productivity in the Yellow River Basin. Using the center of gravity model and other methods, this study evaluated the land use benefit of the Yellow River Basin from 1995 to 2018 based on the selected indicators of geographic grid-scale and analyzed the regional disparity. The results revealed that the comprehensive benefits, economic benefits, and social benefits of land use were on the rise, but the ecological benefits changed in volatility. Land circulation had a great impact on the change of land use benefits. So reasonable land transfer policy should be particularly significant for land use in the Yellow River Basin. In addition, there were obvious spatial differences and agglomeration effects in land use benefit. The high values of benefits were concentrated in urban groups, which showed that areas with better economic and social development had better land use benefits. To narrow land use benefits’ spatial differences between regions, the less developed areas deserve more preferential policies to improve their economic and social levels. Besides, ecological benefits are generally not high. Thus, the land policy in the Yellow River Basin should take ecological priority as the basic principle while considering economic factors.

scholarly journals Applicability Study of Hydrological Period Identification Methods: Application to Huayuankou and Lijin in the Yellow River Basin, China

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1265
Author(s):  
Xingtong Chen ◽  
Xiujie Wang ◽  
Jijian Lian
Keyword(s):  
River Basin ◽  
Large Scale ◽  
Yellow River ◽  
Yellow River Basin ◽  
High Energy ◽  
Small Scale ◽  
The Yellow River ◽  
Annual Data ◽  
Maximum Entropy Spectral Analysis ◽  
Identification Methods

Identifying implicit periodicities in hydrological data is significant for managing river–basin water resources and establishing flood forecasting systems. However, the complexity and randomness of hydrological systems make it difficult to detect hidden oscillatory characteristics. This study discusses the performance and applicability of five period identification methods, namely periodograms, autocorrelation analysis (AA), maximum entropy spectral analysis (MESA), wavelet analysis (WA), and the Hilbert–Huang transform (HHT). The annual and monthly runoff data are sampled from two stations (Huayuankou and Lijin on the Yellow River in China) in the years 1949–2015. The conclusions are as follows: (i) All methods identify the significant periods of 6 months, 12 months, and 18–19 months, which have relatively high energy of peaks; (ii) WA and HHT perform best when dealing with nonstationary time series, but they are ineffective for identifying large-scale periods; (iii) MESA has high resolution and stability but is prone to oscillate at small-scale periods when applied to monthly series; and (iv) periodograms and AA are relatively simple, but their results lack stability and are significantly affected by the data length—the resolution of AA is too low when applied to annual data, and periodograms can easily produce “false peaks”. Generally, it is better to apply multiple methods comprehensively than each method singularly, and this can be effective in reducing subjective influences.

scholarly journals Multifractal Characteristics Analysis Based on Slope Distribution Probability in the Yellow River Basin, China

2021 ◽  
Vol 10 (5) ◽  
pp. 337
Author(s):  
Zilong Qin ◽  
Jinxin Wang ◽  
Yan Lu
Keyword(s):  
River Basin ◽  
Large Scale ◽  
Yellow River ◽  
Multifractal Spectrum ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Distribution Probability ◽  
Multifractal Theory ◽  
The Yellow River Basin ◽  
Geomorphological Features

Multifractal theory provides a reliable method for the scientific quantification of the geomorphological features of basins. However, most of the existing research has investigated small and medium-sized basins rather than complex and large basins. In this study, the Yellow River Basin and its sub-basins were selected as the research areas, and the generalized fractal dimension and multifractal spectrum were computed and analyzed with a multifractal technique based on the slope distribution probability. The results showed that the Yellow River Basin and its sub-basins exhibit clear multifractal characteristics, which indicates that the multifractal theory can be applied well to the analysis of large-scale basin geomorphological features. We also concluded that the region with the most uneven terrain is the Yellow River Downstream Basin with the “overhanging river”, followed by the Weihe River Basin, the Yellow River Mainstream Basin, and the Fenhe River Basin. Multifractal analysis can reflect the geomorphological feature information of the basins comprehensively with the generalized fractal dimension and the multifractal spectrum. There is a strong correlation between some common topographic parameters and multifractal parameters, and the correlation coefficients between them are greater than 0.8. The results provide a scientific basis for analyzing the geomorphic characteristics of large-scale basins and for the further research of the morphogenesis of the forms.

scholarly journals February orchid cover crop improves sustainability of cotton production systems in the Yellow River basin

2021 ◽  
Vol 41 (5) ◽  
Author(s):  
Zhanbiao Wang ◽  
Lichao Zhai ◽  
Shiwu Xiong ◽  
Xiaofei Li ◽  
Yingchun Han ◽  
...  
Keyword(s):  
River Basin ◽  
Nitrogen Fertilizer ◽  
Cover Crop ◽  
Yellow River ◽  
Yellow River Basin ◽  
Economic Benefits ◽  
The Yellow River ◽  
Cotton Production ◽  
The Yellow River Basin ◽  
Winter Fallow

AbstractCotton-winter fallow is the major cropping system of cotton in the Yellow River basin of China, which not only leads to a considerable waste of land and natural resources, but also high greenhouse emissions and a loss of reactive nitrogen. Replacing winter bare fallow in cotton production with February orchid as a cover crop is a new cropping system in this area, but its sustainability is still unknown. Therefore, a field experiment was conducted with two cropping systems (cotton-winter fallow and cotton-February orchid) under four nitrogen application rates (0, 112.5, 168.75, and 225 kg N ha−1). Field observations were incorporated into a life cycle assessment to estimate the carbon footprint, nitrogen footprint, net ecosystem economic benefits, and economic benefits. The estimated carbon footprint per unit of sown area was 43.6–76.1% lower in the cotton-February orchid system than in the cotton-winter fallow system, mainly because of the increase in soil organic carbon. The cotton-February orchid system significantly increased the nitrogen footprint per unit of sown area by 6.7–11.5% under different application rates mainly because of the increase in N2O emissions. The nitrogen application rate significantly impacted the carbon and nitrogen footprints. After accounting for changes in the nitrogen and carbon footprints, the cotton-February orchid system with 168.75 kg N ha−1, which resulted in the highest net ecosystem economic benefits and economic benefits, resulted in a 25.0% reduction in nitrogen fertilizer applied and a 9.5% increase in net ecosystem economic benefits compared with the conventional cotton-winter fallow system and nitrogen fertilizer application rate (225.75 kg N ha−1). Thus, adopting an integrated strategy combining February orchid as a cover crop and a reduced nitrogen fertilizer application contributes to improvements in green and sustainable cotton production systems in the Yellow River basin and other regions with similar ecological conditions.

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