scholarly journals Large-scale cross-stratified Eocene fluvial sandstone exposed at the Mount Laojin National Geopark, Yunnan Province, China

2019 ◽  
Vol 78 (1) ◽  
pp. 2-2
Author(s):  
Junko Komatsubara
Keyword(s):  
Large Scale ◽  
Yunnan Province ◽  
Fluvial Sandstone

The Deposit Features and Comprehensive Information Prospecting Model of Mengyejing Potash Deposits in Yunnan Province

2012 ◽  
Vol 588-589 ◽  
pp. 2136-2139
Author(s):  
Wei Hao Yue ◽  
Jian Guo Gao
Keyword(s):  
Remote Sensing ◽  
Gravity Anomaly ◽  
Large Scale ◽  
Yunnan Province ◽  
Foreland Basin ◽  
The Core ◽  
Geochemical Anomalies ◽  
Comprehensive Information ◽  
Integrated Study ◽  
Chemical Anomaly

Mengyejing potash deposit lies in brown-red and variedness salting-in nagelfluh formation of Cenozoic Mengyejing formation which is located at the back-foreland basin of Lanping-Simao bidirectional arc zone, and it is one of the few large-scale solid potash deposits in China. By integrated study systematically, Mengyejing Potash Deposit’s different scales of mineralization geological anomalies information:geological, geophysical, geochemical, and salt spring chemistry and remote sensing were extracted. A comprehensive information prospecting model of Mengyejing potash deposit is established. Tentatively identified deposits prospecting model of Mengyejing formation, negative gravity anomaly, salt spring chemical anomaly and geochemical anomalies as the core and is of a positive significance for this type of deposit’s prospecting.

The sources of ore-forming elements of the Maoping large-scale Pb-Zn deposit, Yunnan Province: Constrains from in-situ S and Pb isotopes

2019 ◽  
Vol 35 (11) ◽  
pp. 3461-3476 ◽  
Author(s):  
TAN ShuCheng ◽  
◽  
ZHOU JiaXi ◽  
LUO Kai ◽  
XIANG ZhenZhong ◽  
...  
Keyword(s):  
Large Scale ◽  
Yunnan Province ◽  
Pb Isotopes

scholarly journals APPLICATION OF MULTI-SOURCE REMOTE SENSING IMAGE IN YUNNAN PROVINCE GRASSLAND RESOURCES INVESTIGATION

2018 ◽  
Vol XLII-3 ◽  
pp. 837-841
Author(s):  
J. Li ◽  
G. Wen ◽  
D. Li
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Large Scale ◽  
Yunnan Province ◽  
Remote Sensing Image ◽  
Field Investigation ◽  
Background Information ◽  
Landsat 8 ◽  
Yield Model ◽  
Wide Range

Trough mastering background information of Yunnan province grassland resources utilization and ecological conditions to improves grassland elaborating management capacity, it carried out grassland resource investigation work by Yunnan province agriculture department in 2017. The traditional grassland resource investigation method is ground based investigation, which is time-consuming and inefficient, especially not suitable for large scale and hard-to-reach areas. While remote sensing is low cost, wide range and efficient, which can reflect grassland resources present situation objectively. It has become indispensable grassland monitoring technology and data sources and it has got more and more recognition and application in grassland resources monitoring research. This paper researches application of multi-source remote sensing image in Yunnan province grassland resources investigation. First of all, it extracts grassland resources thematic information and conducts field investigation through BJ-2 high space resolution image segmentation. Secondly, it classifies grassland types and evaluates grassland degradation degree through high resolution characteristics of Landsat 8 image. Thirdly, it obtained grass yield model and quality classification through high resolution and wide scanning width characteristics of MODIS images and sample investigate data. Finally, it performs grassland field qualitative analysis through UAV remote sensing image. According to project area implementation, it proves that multi-source remote sensing data can be applied to the grassland resources investigation in Yunnan province and it is indispensable method.

Researching on Geological Characteristics and Economic Significance of Jinla Pb-Zn-Ag Deposit in Cangyuan County, Yunnan

2013 ◽  
Vol 734-737 ◽  
pp. 152-155
Author(s):  
Rong Xue Wu ◽  
Wen Chang Li ◽  
Wei Liu ◽  
Lei Zeng
Keyword(s):  
Sustainable Development ◽  
National Economy ◽  
Large Scale ◽  
Yunnan Province ◽  
Economic Value ◽  
The Sustainable Development ◽  
Geological Characteristics ◽  
Economic Significance ◽  
Regional Tectonic ◽  
Technology And Economy

Jinla Pb-Zn-Ag deposit in Cangyuan county of Yunnan province is occured in the Yungou Formation of Ximeng Group. The occurrence and morphology of the orebody are controlled by the regional tectonic crush belts. The type of the deposit is altered tectonic crush belts, and the mainly metallic minerals are galena, sphalerite, pyrite, siderite, chalcopyrite, arsenopyrite and argentite. The raw ore contain Pb 3.36%, Zn 4.13%. By reviewing the exploitation economic value of the deposit, the deposit meets the requirements of current industry in the technology and economy. The mine is a large-scale mine, which provides a huge reserve of resources for the sustainable development of national economy.

Metallogenic Geological Conditions and Prospecting Indicators of the Carbonate-Hosted Pb-Zn Deposits in Northeastern Yunnan Province, China

2014 ◽  
Vol 962-965 ◽  
pp. 296-299
Author(s):  
Guang Shu Yang ◽  
Yong Feng Yan ◽  
Peng Yu Feng ◽  
Jun Wei Zhang
Keyword(s):  
Large Scale ◽  
Yunnan Province ◽  
Thrust Fault ◽  
Geological Mapping ◽  
Forming Mechanism ◽  
Common Features ◽  
Geological Conditions ◽  
Ore Prospecting ◽  
Geochemical Studies ◽  
Northeastern Yunnan

Based on large scale geological mapping, geological-section, tectonic and geochemical studies on the carbonate-hosted Pb-Zn deposits in NE Yunnan, the metallogenic geological conditions are discussed, and the ore-prospecting indicators are summarized. The Pb-Zn deposits have many common features, which are mainly controlled by the thrust fault-fold structures and lithological conditions. The ore-forming mechanism of them is similar to the MVT Pb-Zn deposit. The combination of thrust fault-fold structures and altered carbonate rocks with geochemical anomalies are good indicators for prospecting.

Evaluating soil erosion and sediment deposition rates by  137Cs fingerprinting technique at different karst hillslope positions  in Yunnan Province, southwest China

2021 ◽  
Author(s):  
Yanqing Li ◽  
yang Yu ◽  
funing Lan ◽  
peng Liu
Keyword(s):  
Soil Erosion ◽  
Water Conservation ◽  
Large Scale ◽  
Yunnan Province ◽  
Southwest China ◽  
Soil Depth ◽  
Principal Component ◽  
Delivery Ratio ◽  
Deposition Rates ◽  
Small Watersheds

<p>In karst environments, soil erosion is a  prominent environmental issue that can cause many other problems. Researching the erosion and deposition rates at the hillslope scale in small watersheds is important for designing efficient soil and water conservation measures for the small watersheds even the large scale areas. In our research, the closed watershed, a representative depression in karst gabin basin, located in the Yunnan province, Southwest China, was selected to assess the soil erosion and sediment mobilisation at different hillslope positions using the <sup>137</sup>Cs tracing technique. The results showed that the soil erosion rates in the shoulders, backslopes and footslopes were 0.87, 0.35 and 0.49 cm a<sup>-1</sup>, respectively, meanwhile the soil sediment rate in depression bottom was 2.68 cm a<sup>-1</sup>. The average annual soil erosion modulus of the complete hillslope was 632 t km<sup>-2</sup>a<sup>-1</sup>, which confirmed the serious gradation according to karst soil erosion standards. The sediment delivery ratio would summarize 0.82 in the whole catchment according to the square of hillslope and depression bottom. To identify which factor could play the most important role in influencing the estimations using <sup>137</sup>Cs, a linear correlation and Principal Component Analysis were conducted. The results showed <sup>137</sup>Cs concentration of different soil depth at different hillslope positions were significantly correlated with soil organic matter (SOM) and total nitrogen (TN) (P<0.05). As the typical karst geomorphological types, these findings are expected to provide data support for the whole watershed soil erosion management and ecological restoration in  fragile karst ecosystem.</p>

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