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Measured permeability data of shales taken from Lower Silurian Longmaxi Formation in the Sichuan Basin of China (2019)

Sun, Zexiang ; Zhou, Shixin ; Li, Jing ; [weitere]

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Publikationsdatum: 2023-06-24

Beschreibung: The dataset includes the measured gas permeability data of sample L1P and L1V under different pressure conditions (confining pressure and pore pressure), in the comment you will find the fitted results of response surface model (RSM). All data was measured by PoroPDP-200 full-automatic instrument (Core Lab, USA) based on pressure pulse decay technique, with nitrogen as the probing gas. Sampling site is Heye Village, Shuanghe Town, Changning County, Sichuan Province (Latitude: 28.392287 * Longitude: 104.887276).

Schlagwort(e): China; Heye_Longmaxi_SichuanBasin; Overburden pressure; Permeability, gas; Pore pressure; PoroPDP-200 full-automatic instrument (Core Lab, USA); Sample ID

Materialart: Dataset

Format: text/tab-separated-values, 184 data points

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Sustainability, Vol. 8, Pages 1309: Gridded Water Resource Distribution Simulation for China Based on Third-Order Basin Data from 2002 (2016)

Mingguang Tu; Futao Wang; Yi Zhou; Shixin Wang

MDPI Publishing

In: Sustainability

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Publikationsdatum: 2016-12-14

Beschreibung: Water resources are a key factor for regional sustainable development. However, the published water resource data in China is based on a large geographical scale, such as watershed units, and the data cannot reflect subtle differences in water resource distribution. The paper aimed to distribute water resources of the third-order basin of China into grid-cells of 1 km × 1 km. First, we used Moran’s I index to analyze the spatial pattern of water resources of the third-order basin. Second, we constructed a spatial autocorrelation model between water resources of third-order basins and the associated factors. Third, we applied the model to simulate the gridded water resource distribution and evaluated the simulation accuracy. The results indicated that significant spatial autocorrelation existed among the water resources of third-order basins. Northern China was the low-value clustering area of water resources and Southeast China was the high-value clustering area of water resources. Slope and precipitation were the main factors that influenced the amount of water resources. The simulating accuracy of water resource distribution was very high, apart from some extremely arid regions (Gurbantunggut Desert, Kumtag Desert, and Hexi Desert). On the whole, the gridded water resource distribution map was valid and was helpful for regional water resource management.

Digitale ISSN: 2071-1050

Thema: Energietechnik

Publiziert von MDPI Publishing

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