The Shuangwang Au deposit (with a gold resource of approximately 70 t Au), is located in the Fenxian-Taibai fore-arc basin in the West Qinling Orogen of central China. Igneous intrusions in the region include the Xiba granitic pluton and granite porphyry and lamprophyre dykes. The Xiba pluton is composed of granodiorite and monzonite granite. The granodiorite is typical I-type granite, and it yields a crystallization age of 221.1 ± 1.2 Ma and a two-stage Hf model age of 1432–1634 Ma. The monzonite granite shows a transitional characteristic between I-type and A-type granite, and it yields a crystallization age of 214.8 ± 1.2 Ma and a two-stage Hf model age of 1443–1549 Ma. The granitoid was derived mainly from a crust–mantle mixed source. The ages indicate that the granodiorite and monzonite granite formed during two different stages. The REE distribution patterns of the Xiba granitoid exhibit significant fractionation between LREE and HREE, showing right-dipping curves, with an enrichment of LREE and a deficit of HREE. The granodiorite displays a light negative Eu anomaly, while the monzonite granite displays an obvious negative Eu anomaly. The granite porphyry dikes are distributed in the No. I breccia and Jiupinggou granite porphyry, and they yield crystallization ages of 219.9 ± 1.5 Ma and 213.1 ± 0.89 Ma, respectively, and two-stage Hf model ages of 1382–1501 Ma and 1373–1522 Ma, respectively. The lamprophyre dikes in the deposit yield a crystallization age of 214.4 ± 2.7 Ma. After the collision event between the Yangtze and the North China Plates along the Qinling orogenic belt, at approximately 220 Ma in the Late Triassic, the detachment of the slab produced the upwelling of the asthenosphere material. Under conditions of mantle heat and tectonic stress, widespread partial melting of the subducted continental crust and the upper lithosphere mantle occurred, forming granitoids with various degrees of adakite characteristics.
Carbon emissions from the power sector (CEPS1) contribute more than 40% of carbon emissions to both the world and China, which is the key link of carbon emission reduction. In the context of China's "carbon peaking and carbon neutrality" goals, clarifying the regional differences and driving factors of CEPS is helpful to formulate carbon emission reduction policies. Based on the CEPS data of 30 provinces in China from 2004 to 2019, this study uses data statistics and spatial autocorrelation analysis to test the temporal and spatial differences of CEPS among provinces. Ten indicators are selected to construct a geographically and temporally weighted regression (GTWR) model for the regression analysis of driving factors of CEPS in the provinces. During 2004–2019, the CEPS in China's 30 provinces show obvious differences. The CEPS in Shandong, Inner Mongolia and Shanxi maintain a high rise, while that in Sichuan and Yunnan shows a downward trend. The global Moran's I of provincial CEPS in China shows significant positive spatial autocorrelation, high-high clustering area is concentrated in North and East China, and low-low clustering area is distributed in Southwest China. The effects of various driving factors on provincial CEPS show obvious temporal and spatial heterogeneity. The power structure (PS), the thermal power energy consumption rate (TE) and the per capita electricity consumption (PC) have positive effects on CEPS in most provinces, while the contribution of the power industry (IC) has a negative effect. The effects of other indicators on different provinces fluctuate in different periods. In order to realize the low-carbon sustainable development of power sector, relevant measures such as improving the efficiency of thermal power production, optimizing power structure by region, and support the major power producing provinces are proposed.
The Qinghai-Xizang Plateau (QXP) in China is a geological treasure trove known for its complex structures and rich mineral resources. Among these, copper stands out as a critical metal for economic development. However, the exploitation of these resources is not without challenges, particularly in balancing the need for economic growth with the preservation of the plateau's delicate ecosystem. In this study, we take into account the intricate interplay between human activities, environmental conditions, and economic strategies. By applying a pressure-state-response (PSR) framework and innovatively establishing a comprehensive potential evaluation index, we are able to quantify the development potential of copper deposits on the QXP and to identify key factors influencing the development potential. The results indicate a varied landscape of copper deposit development potential across the QXP. The state layer in the PSR model represents the most significant obstacle to the development potential of copper resources on the QXP. Certain areas, specifically central Xizang, eastern Xizang, and northwestern Yunnan, show high development potential for copper deposits due to favorable geological conditions and policy environments, and strong infrastructure.
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