scholarly journals CO2 and CH4 flux across water-air interface in summer in the downstream of Jinsha River, Southwest China

2017 ◽  
Vol 29 (4) ◽  
pp. 991-999
Author(s):  
QIN Yu ◽  
◽  
YANG Boxiao ◽  
LI Zhe ◽  
HE Bin ◽  
...  
Keyword(s):  
Southwest China ◽  
Jinsha River ◽  
Air Interface

scholarly journals The use of remote sensing satellite using deep learning in emergency monitoring of high-level landslides disaster in Jinsha River

2021 ◽  
Author(s):  
Leijin Long ◽  
Feng He ◽  
Hongjiang Liu
Keyword(s):  
Remote Sensing ◽  
Southwest China ◽  
Influence Factors ◽  
Classification Error ◽  
Model Parameters ◽  
Detection Accuracy ◽  
Remote Sensing Images ◽  
Jinsha River ◽  
Detection Model ◽  
High Level

AbstractIn order to monitor the high-level landslides frequently occurring in Jinsha River area of Southwest China, and protect the lives and property safety of people in mountainous areas, the data of satellite remote sensing images are combined with various factors inducing landslides and transformed into landslide influence factors, which provides data basis for the establishment of landslide detection model. Then, based on the deep belief networks (DBN) and convolutional neural network (CNN) algorithm, two landslide detection models DBN and convolutional neural-deep belief network (CDN) are established to monitor the high-level landslide in Jinsha River. The influence of the model parameters on the landslide detection results is analyzed, and the accuracy of DBN and CDN models in dealing with actual landslide problems is compared. The results show that when the number of neurons in the DBN is 100, the overall error is the minimum, and when the number of learning layers is 3, the classification error is the minimum. The detection accuracy of DBN and CDN is 97.56% and 97.63%, respectively, which indicates that both DBN and CDN models are feasible in dealing with landslides from remote sensing images. This exploration provides a reference for the study of high-level landslide disasters in Jinsha River.

Length-weight and length-length relationships of thirteen fish species from the lower Jinsha River, southwest China

2018 ◽  
Vol 34 (3) ◽  
pp. 774-776 ◽  
Author(s):  
K. Shao ◽  
Y. F. Que ◽  
M. H. Xiong ◽  
W. T. Li ◽  
D. Yu ◽  
...  
Keyword(s):  
Fish Species ◽  
Southwest China ◽  
Jinsha River

scholarly journals Synchronous-Asynchronous Encounter Probability Analysis of High-Low Runoff for Jinsha River, China, using Copulas*

2018 ◽  
Vol 246 ◽  
pp. 01094 ◽  
Author(s):  
CHEN Jing ◽  
GU Shixiang ◽  
ZHANG Tianli
Keyword(s):  
Southwest China ◽  
Bivariate Distribution ◽  
Probability Analysis ◽  
Conditional Probabilities ◽  
Jinsha River ◽  
Copula Theory ◽  
Resources Management ◽  
Encounter Probability ◽  
Study Results ◽  
Regional Water

Synchronous-asynchronous encounter probability analysis of high-low runoff, which requires a description of the probabilistic properties of hydrological variables, is important in regional water resources management. This study aims to investigate this encounter probability for Jinsha River and its tributary Yalong River in southwest China. A bivariate distribution is used to model the runoff variables of the two rivers based on Copula theory. The Copula is a function that links the univariate marginal distributions to form the bivariate distribution. The bivariate distribution is then employed to determine joint and conditional probabilities. The study results indicate the encounter probability of mainstream runoff and tributary runoff in different periods, also illustrate the mainstream runoff distribution under the condition of knowing the tributary runoff distribution.

Contrasting Altitude and Long-term Geographical Isolation Shaped Phylogeography of Himalrandia  lichiangensis, an Endemic Species from the Dry Hot Valley of Southwest China

2020 ◽  
Author(s):  
Yaomei Qiao ◽  
Jian Liu ◽  
Xun Gong
Keyword(s):  
Genetic Differentiation ◽  
Southwest China ◽  
Distribution Area ◽  
Geographical Isolation ◽  
Niche Modelling ◽  
Jinsha River ◽  
Climatic Oscillations ◽  
Late Tertiary ◽  
High Degree

Abstract Background: The eastern Sino-Himalayan region of southwest China, as one of the world’s biodiversity hotspots, has undergone dramatic geomorphological and climatic changes during the Late Tertiary/Quaternary. The dry-hot valleys in southwest China is overlapping with the Hengduan Mountains. However, when this endemism was assembled in dry-hot valleys and how the climatic oscillations and/or tectonic movements influence their phylogeographical patterns remained largely unknown. Himalrandia lichiangensis is a shrub of Rubiaceae, endemically distributes in dry-hot valleys of southwest China. By integrating evidences from phylogeography, population dynamic and ecological niche modelling, we are aiming to trace the evolutionary history and explain the origin of biodiversity and endemism in the dry-hot valleys of southwest China. Results: Based on sequencing four chloroplastic non-coding regions (psbM-trnD, trnD-trnT, atpB-rbcL and accD-psaI) and two single-low copy nuclear genes CAMX (Calmodulin) and ITS of 423 individuals from 23 populations, we found high genetic variation mainly existed between the populations (cpDNA: 89.80％, ITS: 84.55％, CAMX: 95.68％). Haplotypes in different river basins showed significant phylogeographical structure. The geographical distribution of haplotypes indicated that there is a high degree of genetic differentiation and this differentiation is associated with altitude discrepancy. BARRIER analysis detects a strong geographic barrier between the Nanpan River and Jinsha River. The MaxEnt result shows that the suitable distribution area was the largest in the LGM. The future climate warming will lead to the niche expansion for H. lichiangensis but will also cause fragmented distribution.Conclusions: Our study highlighted the importance of altitude in explaining the genetic differentiation. The current phylogeographical pattern of H. lichiangensis may be shaped by long-term geographical isolation resulted from the uplifting of Himalaya, which gives rise to the barriers from the Hengduan Mountain or multiple river systems, and the vertical altitude discrepancies that both limited gene flow among regions. The Middle Jinsha River valley is most likely to be a main refuge for H. lichiangensis till now, and the glaciation retreat may account for the high endemism of plants in the dry-hot valleys of southwest China.

scholarly journals Geomorphological And Sedimentary Records of Late Quaternary Activities of Qiaojia-Jinyang Segment of Lianfeng Fault Zone, Southwest China

2021 ◽  
Author(s):  
Youpeng Wang ◽  
Dewen Li
Keyword(s):  
Fault Zone ◽  
Late Pleistocene ◽  
Southwest China ◽  
Late Quaternary ◽  
Morphological Characteristics ◽  
Second Grade ◽  
Jinsha River ◽  
Middle Holocene ◽  
River Terraces ◽  
Regional Tectonic

Abstract Lianfeng Fault Zone (LFZ) in Southwest China has great significance for understanding the seismogenic environment, but its activity is still poor constrains. The Qiaojia-Jinyang segment (QJS) of LFZ intersects with Jinsha River; Here well developed river terraces provide a potential Spatiotemporal constrains for faulting. Based on investigation of the terrace deposits along river, this paper makes a detailed logging and dating of the faulting and liquefaction of QJS. Combined previous data, the spatiotemporal sequence of the Late Quaternary river terraces in the area was redetermined. It is considered that the first and second grade river terraces at QJS (~10-20m and 60-70m, respectively, above the local river level) are roughly developed in the middle Holocene and the late Late Pleistocene, indicating that the valley along QJS was strongly undercut since the Late Pleistocene. Based on the analysis of the morphological characteristics, spatial distribution, material composition and intersecting relationship between the sand veins and the layers, the cause of the ground motions is preliminarily determined, which indicates the strong seismic activity of the LFZ during the Quaternary. Combined with the faulting characteristics within the profiles of terrace deposits and the dating data of the overlying strata, it is considered that the LFZ is active at least at QJS, and the latest active time is not earlier than the early-middle Holocene. These understandings provide a clear geological evidences for the seismicity assessment at LFZ, and help to the understanding of regional tectonic environment and the prevention of earthquake disasters.

scholarly journals Increase in hazard from successive landslide-dammed lakes along the Jinsha River, Southwest China

2020 ◽  
Vol 11 (1) ◽  
pp. 1115-1128
Author(s):  
Hai-mei Liao ◽  
Xing-guo Yang ◽  
Hai-bo Li ◽  
Bin-Rui Gan ◽  
Jia-wen Zhou
Keyword(s):  
Southwest China ◽  
Jinsha River

Mass movement and formation process analysis of the two sequential landslide dam events in Jinsha River, Southwest China

Landslides ◽  
2019 ◽  
Vol 16 (11) ◽  
pp. 2247-2258 ◽  
Author(s):  
Hai-bo Li ◽  
Shun-chao Qi ◽  
Hao Chen ◽  
Hai-mei Liao ◽  
Yi-fei Cui ◽  
...  
Keyword(s):  
Formation Process ◽  
Southwest China ◽  
Process Analysis ◽  
Mass Movement ◽  
Landslide Dam ◽  
Jinsha River
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