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13 results on '"Shu, Shumiao"'

3. A Comprehensive Evaluation of Water Resource Carrying Capacity Based on the Optimized Projection Pursuit Regression Model: A Case Study from China.

Author

Su, Yuelong, Xu, Xiangdong, Dai, Meng, Hu, Yan, Li, Qianna, and Shu, Shumiao

Subjects
WATER rights, REGIONAL development, WATER supply, METROPOLIS, TOPSIS method
Abstract

The Han River Ecological Economic Belt (HREEB) has a substantial amount of water resources; however, its distribution is uneven, and issues such as seasonal and engineering water shortages are prevalent. This necessitates a thorough assessment of the current water resource situation and trends in water resource carrying capacity (WRCC) to provide scientific support for the rational allocation of water resources. This study employed the RAGA-PP model to establish a WRCC evaluation index system composed of four subsystems: water resources, economy, society, and the ecological environment. The WRCC of the 17 major cities in the HREEB was evaluated from 2008 to 2022. The differentiation method was introduced to compare the reliability of the RAGA-PP model with three evaluation methods: the entropy weight TOPSIS method, the rank sum ratio method, and the principal component analysis method. In addition, an obstacle degree model was introduced to analyze the factors influencing WRCC enhancement. The results indicated the following. (1) In the differentiation test of the four models, the RAGA-PP model was found to have the highest differentiation value, and the results showed that it was more reliable in the WRCC evaluation of HREEB. (2) WRCC in the HREEB underwent significant changes between 2008 and 2022. (3) The WRCC in Shiyan and Wuhan, which are located in the eastern part of the HREEB, were high in Hubei, low in four cities in Henan, and satisfactory in three cities in Shaanxi. (4) The carrying capacity of the subsystems of the cities in the HREEB exhibited fluctuating changes with obvious internal variations. (5) The problems in the WRCC guideline layer were consistent across all cities in the HREEB, with limited per capita water resources being the primary issue in the indicator layer. Assessing WRCC is essential for achieving sustainable water resource use and high-quality regional development. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Influence of habitat on the distribution pattern and diversity of plant community in dry and warm valleys of the middle reaches of the Dadu River, China

Author

Zhang Zhicai, Li Xia, Zhu Wanze, Liu Ting, Sheng Zheliang, Shu Shumiao, Zhang Jun, and Sun Shouqin

Subjects
Geography, Ecology, Habitat, Canonical correspondence analysis, Distribution pattern, Species diversity, Plant community, China, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Diversity (business)
Published
2020

10. The Influence of Typical Forest Types on Soil Erosion Resistance in the Water Source Areas of Central Yunnan

Author

ZHAO, Yangyi, DUAN, Xu, and SHU, Shumiao

Subjects
Small watershed, Pinus yunnanensis forest, Soil erosion resistance, Eucalyptus forest, Agribusiness, Mixed broadleaf-conifer forest
Abstract

In order to clarify the influence of different forest types on soil erosion resistance in water source area of Central Yunnan, with the soils under three different kinds of typical forest in Yizhe watershed as the research object, this paper uses field simulation method and principal component analysis to analyze the soil erosion resistance of three kinds of soils. The results show that there is a significant difference in the shear strength of soil among three types of typical forest, and the size of soil shear strength is in the order of Pinus yunnanensis forest land>mixed broadleaf-conifer forest land>eucalyptus forest land. The difference in the soil erosion coefficient among different forests is not significant, and the soil erosion resistance is highest in mixed broadleaf-conifer forest land (39.0%), followed by eucalyptus woodland (37.0%) and Pinus yunnanensis forest land (24.0%). Under heavy rain intensity and long duration of rainfall, the ability of soil under Eucalyptus ×Pinus yunnanensis mixed forests to resist disintegration is more obvious. Using principal component analysis to analyze soil erosion resistance of soils under three different forests, we get the comprehensive evaluation model for soil erosion resistance: Y=0.763Y1+0.236Y2. The soil erosion resistance is in the order of mixed broadleaf-conifer forest land (0.150)> eucalyptus forest land (0.127)> Pinus yunnanensis forest land (-0.079), indicating that the mixed forests have better water loss and soil erosion control effect than pure forests.

Published
2015
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11. Incorporating a rainfall intensity modification factor γinto the Ia-SRelationship in the NRCS-CN method

Author

Hu, Pengcheng, Tang, Jialiang, Fan, Jihui, Shu, Shumiao, Hu, Zhaoyong, and Zhu, Bo

Abstract

The Natural Resources Conservation Service runoff curve number (NRCS-CN) method is widely used to simulate direct runoff, but the impact of rainfall intensity has not been considered. In this study, a rainfall intensity modification factor (γ) was incorporated into the Ia-Srelationship of the NRCS-CN method, and the modified method (NRCS–CN–γ) was compared with the NRCS-CN method with λ = 0.2 and λ = 0.05 in three watersheds of the Walnut Gulch Experimental Watershed (WGEW). The results showed that for 2016–2018 period, the simulation performance of the NRCS–CN–γ method was close to the NRCS-CN (λ = 0.05) method and better than the NRCS-CN (λ = 0.2) method. When the new data (2009 data with high variance) was added, the significant improvement was observed by NRCS–CN–γ method with all the evaluation parameters being the best in the three watersheds, indicating a more adapted capability of the modified method with highly uneven rainfall intensities. The covariance between rainfall intensity and the simulated runoff were 19.01, 15.14, and 16.35 for the three methods, respectively. When the optimal CN changed, the relative errors representing CN sensitivity were 6.25, 6.49 and 17.39 for the methods, respectively. It is suggested that the NRCS–CN–γ method outperformed the other two methods and could contribute to a more accurate estimation of direct runoff where rainfall intensity greatly varied, especially in monsoon region or under the context of climate change.

Published
2020
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