Restoration performance of regional soil and water resources in China based on index of coupling and improved assessment tool

Liu, Xiaojing; Tan, Tingting; Bai, Yang; Chou, Li-Chen

doi:10.1016/j.aej.2021.10.063

Cited by 9 publications

(4 citation statements)

References 29 publications

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“…It is an important metallogenic belt in my country; 83 kinds of minerals have been discovered, mainly nonferrous metals, precious metals, ferrous metals, and nonmetallic minerals [5]. Among the 2,044 mineral deposits in the province, 1,071 are located in southern Shaanxi [6][7][8], accounting for 52.40% of the total number of mineral deposits in the province. Among them, Shangluo City has the largest number of deposits (425), followed by Hanzhong City (344) [6] and Ankang City (302) [7].…”

Section: Overview Of Mineral Resources In Southern Shaanximentioning

confidence: 99%

“…Among the 2,044 mineral deposits in the province, 1,071 are located in southern Shaanxi [6][7][8], accounting for 52.40% of the total number of mineral deposits in the province. Among them, Shangluo City has the largest number of deposits (425), followed by Hanzhong City (344) [6] and Ankang City (302) [7]. It is the most important polymetallic mineral resource enrichment area among the proven resources in the province.…”

Section: Overview Of Mineral Resources In Southern Shaanximentioning

confidence: 99%

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Optimized Neural Network for Research Evaluation of Mineral Resources Carrying Capacity in Southern Shaanxi

YiCan

Wei

Arshaghi

2022

Mathematical Problems in Engineering

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Evaluation of the carrying capacity of mineral resources is one of the important research content in the implementation of sustainable development. Based on analyzing the metallogenic geological characteristics, distribution, and resource status of mineral resources in southern Shaanxi, this paper establishes an analysis model of mineral resources and mineral advantages based on the analytic hierarchy process and applies them to evaluate the advantages of mineral resources. To provide optimal and efficient results, an improved model of an artificial neural network based on the bat optimization algorithm has been utilized. Through model analysis, the potential value and carrying capacity of mineral resources in three major prefecture-level cities in southern Shaanxi are comprehensively evaluated and analyzed. The results show that the main dominant minerals in southern Shaanxi are gold, lead zinc, and molybdenum ore. There are three grades of mineral resources carrying capacity: Shangluo City is an excellent grade, Hanzhong City is a good grade, and Ankang City is a general grade.

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Section: Overview Of Mineral Resources In Southern Shaanximentioning

confidence: 99%

Section: Overview Of Mineral Resources In Southern Shaanximentioning

confidence: 99%

Optimized Neural Network for Research Evaluation of Mineral Resources Carrying Capacity in Southern Shaanxi

YiCan

Wei

Arshaghi

2022

Mathematical Problems in Engineering

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“…Liu Y et al (2020) revealed the spatial differentiation characteristics of urban land use efficiency by croup comparison of different cities. Liu et al (2022) used GIS spatial analysis, index decomposition, and panel data models to study the temporal characteristics, regional discrepancies and influencing factors of land use efficiency. Zhang et al (2022) established the spatial lag econometric model to explore the influencing factors of urban land use efficiency and the regional differences of the spillover effects.…”

Section: Resource Efficiency In Land Usementioning

confidence: 99%

Evaluating resource utilization efficiency in urban land construction of Yangtze river economic zone under technological progress

Wei¹,

Qian²,

Lin³

et al. 2022

Front. Environ. Sci.

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Based on the economic models of DEA-Malmquist, this paper estimated the land utilization efficiency by considering dimensions such as energy, water and economic inputs in the Yangtze River Delta urban agglomeration from 2004 to 2016, and analyzed its spatial and temporal evolution pattern and characteristics. Then use the Tobit model to explore the main influencing factors, and examine the contribution of each influencing factor, such as technical progress. The research results show that the urban construction efficiency and the distance from the port have a “∽” curve relationship, verifying the “center-periphery” theory of new economic geography. It is also found that the effective radiation distance of the current economic center Shanghai to the surrounding area is 361.5 km. The structural analysis of the efficiency of construction land shows that the market mechanism has not played a fundamental role in the allocation of construction land resources, the improvement of the quality of labor force, and the expansion of capital clustering with industry is the main driving factor to support the efficiency of construction land use in the Yangtze River Delta region. We suggest that more efforts will be needed to reform market mechanisms and improve technological progress in the near future.

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“…Currently, China only possesses 6% of the global water resources [ 25 ], followed by Brazil, Russia, and Canada [ 26 ]. Nevertheless, China has a per capita water resource of only 2300 m 3 [ 27 ], making it one of the most water-scarce countries in the world [ 28 , 29 ]. The unbalanced distribution of water resources is currently one of the biggest obstacles to promoting sustainable development in China [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

Liu

Xiong

Guo³

et al. 2022

IJERPH

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Research on the Yellow River Basin’s virtual water is not only beneficial for rational water resource regulation and allocation, but it is also a crucial means of relieving the pressures of a shortage of water resources. The water stress index and pull coefficient have been introduced to calculate the implied virtual water from intraregional and interregional trade in the Yellow River Basin on the basis of a multi-regional input–output model; a systematic study of virtual water flow has been conducted. The analysis illustrated that: (1) Agriculture is the leading sector in terms of virtual water input and output among all provinces in the Yellow River Basin, which explains the high usage. Therefore, it is important to note that the agricultural sector needs to improve its water efficiency. In addition to agriculture, virtual water is mainly exported through supply companies in the upper reaches; the middle reaches mainly output services and the transportation industry, and the lower reaches mainly output to the manufacturing industry. Significant differences exist in the pull coefficients of the same sectors in different provinces (regions). The average pull coefficients of the manufacturing, mining, and construction industries are large, so it is necessary to formulate stricter water use policies. (2) The whole basin is in a state of virtual net water input, that is, throughout the region. The Henan, Shandong, Shanxi, Shaanxi, and Qinghai Provinces, which are relatively short of water, import virtual water to relieve local water pressures. However, in the Gansu Province and the Ningxia Autonomous Region, where water resources are not abundant, continuous virtual water output will exacerbate the local resource shortage. (3) The Yellow River Basin’s virtual water resources have obvious geographical distribution characteristics. The cross-provincial trade volume in the downstream area is high; the virtual water trade volume in the upstream area is low, as it is in the midstream and downstream areas; the trade relationship is insufficient. The Henan and Shandong Provinces are located in the dominant flow direction of Yellow River Basin’s virtual water, while Gansu and Inner Mongolia are at the major water sources. Trade exchanges between the midstream and downstream and the upstream should be strengthened. Therefore, the utilization of water resources should be planned nationwide to reduce water pressures, and policymakers should improve the performance of agricultural water use within the Yellow River Basin and change the main trade industries according to the resource advantages and water resources situation of each of them.

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Restoration performance of regional soil and water resources in China based on index of coupling and improved assessment tool

Cited by 9 publications

References 29 publications

Optimized Neural Network for Research Evaluation of Mineral Resources Carrying Capacity in Southern Shaanxi

Optimized Neural Network for Research Evaluation of Mineral Resources Carrying Capacity in Southern Shaanxi

Evaluating resource utilization efficiency in urban land construction of Yangtze river economic zone under technological progress

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model

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