scholarly journals Evaluation and Future Projection of Extreme Climate Events in the Yellow River Basin and Yangtze River Basin in China Using Ensembled CMIP5 Models Data

Author(s):  
Zigeng Niu ◽  
Lan Feng ◽  
Xinxin Chen ◽  
Xiuping Yi

The Yellow River Basin (YLRB) and Yangtze River Basin (YZRB) are heavily populated, important grain-producing areas in China, and they are sensitive to climate change. In order to study the temporal and spatial distribution of extreme climate events in the two river basins, seven extreme temperature indices and seven extreme precipitation indices were projected for the periods of 2010–2039, 2040–2069, and 2070–2099 using data from 16 Coupled Model Intercomparison Project Phase 5 (CMIP5) models, and the delta change and reliability ensemble averaging (REA) methods were applied to obtain more robust ensemble values. First, the present evaluation indicated that the simulations satisfactorily reproduced the spatial distribution of temperature extremes, and the spatial distribution of precipitation extremes was generally suitably captured. Next, the REA values were adopted to conduct projections under different representative concentration pathway (RCP) scenarios (i.e., RCP4.5, and RCP8.5) in the 21st century. Warming extremes were projected to increase while cold events were projected to decrease, particularly on the eastern Tibetan Plateau, the Loess Plateau, and the lower reaches of the YZRB. In addition, the number of wet days (CWD) was projected to decrease in most regions of the two basins, but the highest five-day precipitation (Rx5day) and precipitation intensity (SDII) index values were projected to increase in the YZRB. The number of consecutive dry days (CDD) was projected to decrease in the northern and western regions of the two basins. Specifically, the warming trends in the two basins were correlated with altitude and atmospheric circulation patterns, and the wetting trends were related to the atmospheric water vapor content increases in summer and the strength of external radiative forcing. Notably, the magnitude of the changes in the extreme climate events was projected to increase with increasing warming targets, especially under the RCP8.5 scenario.

Water Policy ◽  
2021 ◽  
Author(s):  
Huiliang Wang ◽  
Shuoqiao Huang ◽  
Danyang Di ◽  
Yu Wang ◽  
Fengyi Zhang

Abstract To analyze the spatial distribution characteristics of water resource value in the agricultural system of the Yellow River Basin, this paper takes the Yellow River Basin as its research object and studies the spatial distribution characteristics and influencing factors of water resource value in the agricultural system using the emergy theory and method, the spatial autocorrelation analysis method, and the spatial regression model. The results show that (1) the value of water resources in the agricultural system ranges from 0.64 to 0.98$/m3, and the value in the middle and lower reaches of the basin is relatively high; (2) the Moran index of the water resource value in the agricultural system is 0.2772, showing a positive spatial autocorrelation feature. Here, ‘high-high (high value city gathering)’ is the main aggregation mode, which is mainly concentrated in the middle and lower reaches of the basin. (3) The spatial error model, moreover, has the best simulation effect. The cultivated land area, total agricultural output value, agricultural labor force, and total mechanical power have a significant positive impact on the agricultural production value of water resources in the Yellow River Basin; the altitude, annual average temperature, and agricultural water consumption have a negative impact. Overall, this study shows that guiding the distribution of water resources according to their value and increasing agricultural water use in the middle and lower reaches of the basin will help improve the overall agricultural production efficiency of water resources in the basin.


Author(s):  
Xuejia Wang ◽  
Deliang Chen ◽  
Guojin Pang ◽  
Xiaohua Gou ◽  
Meixue Yang

AbstractDespite the importance of the Yellow River to China, climate change for the middle reaches of the Yellow River Basin (YRB) has been investigated far less than for other regions. This work focuses on future changes in mean and extreme climate of the YRB for the near-term (2021–2040), mid-term (2041–2060), and far-term (2081–2100) future, and assesses these with respect to the reference period (1986–2005) using the latest REgional MOdel (REMO) simulations, driven by three global climate models (GCMs) and assuming historical and future [Representative Concentration Pathway (RCP) 2.6 and 8.5] forcing scenarios, over the CORDEX East Asia domain at 0.22° horizontal resolution. The results show that REMO reproduces the historical mean climate state and selected extreme climate indices reasonably well, although some cold and wet biases exist. Increases in mean temperature are strongest for the far-term in winter, with an average increase of 5.6 °C under RCP 8.5. As expected, the future temperatures of the warmest day (TXx) and coldest night (TNn) increase and the number of frost days (FD) declines considerably. Changes to mean temperature and FD depend on elevation, which could be explained by the snow-albedo feedback. A substantial increase in precipitation (34%) occurs in winter under RCP 8.5 for the far-term. Interannual variability in precipitation is projected to increase, indicating a future climate with more extreme events compared to that of today. Future daily precipitation intensity and maximum 5-day precipitation would increase and the number of consecutive dry days would decline under RCP 8.5. The results highlight that pronounced warming at high altitudes and more intense rainfall could cause increased future flood risk in the YRB, if a high GHG emission pathway is realized.


2021 ◽  
Vol 267 ◽  
pp. 01015
Author(s):  
Wang Huiliang ◽  
Li Hui ◽  
Di Danyang ◽  
Yan Dengmin

Ecological water is the basic condition to maintain river health in a water-deficient basin. The evaluation and spatial distribution of ecological water are significance to the allocation of water resources under the concept of ecological civilization. In this paper, the connotation and composition of value of ecological water are defined from the perspective of ecosystem material circulation. Based on the emergy theory, the quantitative methods of different types of ecological water value are proposed. Combined with the spatial autocorrelation analysis method, the analysis method of spatial distribution and aggregation characteristics of watershed ecological water value is established. We took the Yellow River Basin as an example, and estimated and analysed its ecological water value and the spatial distribution characteristics according to the 9 regions of basin. The results showed that: In the Yellow River Basin, the single water value of the ecological water in the river channel is 17.45-24.36 yuan, the single water value of the sediment transport water is 2.42-7.28 yuan, and the single water value of the ecological water outside the river channel is 10.87-16.61 yuan. Ecological water value presents obvious difference in the space. Both outside and inside the river course, the high concentration areas of ecological water value are in the middle and lower reaches, while the low concentration areas are in the lower reaches, which indicates that we should consolidate the ecological water value in the middle and lower reaches and enhance the water value in the upper reaches. The research results have guiding significance for the allocation of ecological water in each province and region.


2021 ◽  
Vol 13 (7) ◽  
pp. 3822
Author(s):  
Chunsheng Wu ◽  
Guoxia Ma ◽  
Weishan Yang ◽  
Ying Zhou ◽  
Fei Peng ◽  
...  

The Yellow River Basin and the Yangtze River Basin are the two most important watersheds in China, which consist of several key ecological function areas and are crucial in terms of economic contributions. The evaluation of the ecosystem service value and the quantitative acquisition of the regional ecological quality status are necessary for supporting the ecological protection and high-quality development of the two basins. By considering basic data and adopting different ecological function models, this study was carried out to evaluate the value of ecosystem services in the Yellow River Basin and the Yangtze River Basin from 2015 to 2018 in terms of provisioning services, regulating services, and cultural services. Additionally, analysis was conducted in combination with economic indicators. The results showed that there were great differences in the ecosystem patterns between the Yellow River Basin, where grassland accounted for 45% of land use, and the Yangtze River Basin, where forest accounted for 39% of land use. The values of the ecosystem services of the two basins had similar spatial distributions, with higher values upstream (west) followed by downstream (east) and lower values in the middle (central China). The total annual ecosystem value of the Yangtze River Basin was more than three times that of the Yellow River Basin. In addition, the ecosystem services value of most counties in both basins was higher than their GDP, and there was a positive trend of transforming ecological benefits into economic benefits in the Yangtze River Basin. This research provides a methodology for evaluating ecosystem valuation. The results are helpful for formulating and implementing eco-compensation and payments for ecosystem service policies among different regions in the basins, and the results lay a foundation for the spatial planning and high-quality development paths of key basin areas in China.


Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 849
Author(s):  
Hao Zhang ◽  
Ye Duan ◽  
Zenglin Han

Rural tourism is a new point of growth for tourism and the economy in the context of the new normalization of the economy and is of great significance in achieving the complementary coordination and integration of urban and rural areas, promoting rural transformation, and increasing farmers’ incomes. The trends of rural tourism development mechanisms studied on a spatial scale can be used to interpret the sustainable development of rural tourism from different perspectives. Based on the data of key rural tourism villages in China’s Yellow River Basin (hereinafter referred to as the Yellow River Basin), kernel density estimation and spatial hot spot clustering methods were used in the present study to analyze the spatial distribution pattern and sustainable development mechanisms of these villages. The results showed that the spatial distribution of the key villages presents greater concentrations in the west and south than in the east and north, respectively. The spatial distribution of the key villages was found to be primarily affected by factors such as historical culture, transportation locations, economic level, and topography. Finally, the sustainable development mechanisms of rural tourism are proposed, and corresponding suggestions are provided from the perspectives of sustainable livelihoods, operation management, and marketing.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258549
Author(s):  
Ziwu Pan ◽  
Jun Zhu ◽  
Junjie Liu ◽  
Jiangyan Gu ◽  
Zhenzhen Liu ◽  
...  

Quantitative studies of the multiple factors influencing the mountain-mass effect, which causes higher temperatures in mountainous than non-mountainous regions, remain insufficient. This study estimated the air temperature in the Yellow River Basin, which spans three different elevation ranges, using multi-source data to address the uneven distribution of regional meteorological stations. The differences in mountain-mass effect for different geomorphic regions at the same altitude were then compared. The Manner–Kendall nonparametric test was used to analyse time series changes in temperature. Moreover, we employed the geographically weighted regression (GWR) model, with MODIS land-surface and air-temperature data, station-based meteorological data, vertical temperature gradients corresponding to the 2000–2015 period, and elevation data, to estimate the correlation between monthly mean surface temperature and air temperature in the Yellow River Basin. The following major results were obtained. (1) The GWR method and ground station-based observations enhanced the accuracy of air-temperature estimates with an error of only ± 0.74°C. (2) The estimated annual variations in the spatial distributions of 12-month average temperatures showed that the upper Tibetan Plateau is characterised by low annual air temperatures with a narrow spatial distribution, whereas north-eastern areas upstream of the Inner Mongolia Plateau are characterised by higher air temperatures. Changes in the average monthly air temperature were also high in the middle and lower reaches, with a narrow spatial distribution. (3) Considering the seasonal variation in the temperature lapse rate, the mountain-mass effect in the Yellow River Basin was very high. In the middle of each season, the variation of air temperature at a given altitude over the Tibetan Plateau was higher than that over the Loess Plateau and Jinji Mountain. The results of this study reveal the unique temperature characteristics of the Yellow River Basin according to its geomorphology. Furthermore, this research contributes to quantifying mountain-mass effects.


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