Remote Sensing of the Spatiotemporal Dynamics of Large Developed Land Areas in the Shore Areas of the Jin River of Fujian Province,SE China

AbstractCretaceous mafic dykes in Fujian province, SE China provide an opportunity to examine the nature of their mantle source and the secular evolution of the Mesozoic lithospheric mantle beneath SE China. The mafic rocks have SiO2 ranging from 47.42 to 55.40 wt %, Al2O3 from 14.0 wt % to 20.4 wt %, CaO from 4.09 to 11.7 wt % and total alkaline (K2O+Na2O) from 2.15 wt % to 6.59 wt %. Two types are recognized based on their REE and primitive mantle-normalized trace element patterns. Type-A is the dominant Mesozoic mafic rock type in SE China and is characterized by enrichment of light rare earth elements (LREE) ((La/Yb)n = 2.85–19.0) and arc-like trace element geochemistry. Type-P has relatively flat REE patterns ((La/Yb)n = 1.68–3.43) and primitive mantle-like trace element patterns except for enrichment of Rb, Ba and Pb. Type-A samples show EMII signatures on the Sr-Nd isotopic diagram, whereas type-P rocks have high initial 143Nd/144Nd ratios (0.5126–0.5128) relative to the type-A rocks (143Nd/144Nd = 0.5124–0.5127). The type-A rocks have 207Pb/204Pb ranging from 15.47 to 15.67 and 206Pb/204Pb from 18.26 to 18.52. All the type-A rocks show a negative correlation between 143Nd/144Nd and 206Pb/204Pb ratios and a positive relationship between 87Sr/86Sr and 206Pb/204Pb ratios, indicating mixing of a depleted mantle source and an EMII component. Geochemical modelling shows that the parental magmas were formed by 5–15 % partial melting of a spinel lherzolite, and contaminated by less than 1 % melt derived from subducted sediment. The type-P magmas were derived from a mantle source unmodified by subduction components. The wide distribution of type-A dykes in SE China suggests that subduction-modified lithospheric mantle was extensive beneath the Cathaysia Block. Geochemical differences between Mesozoic and Cenozoic mafic rocks indicate that lithospheric thinning beneath SE China occurred in two episodes: firstly by heterogeneous modification by subducted components in early Mesozoic times, and later by chemical–mechanical erosion related to convective upwelling of the asthenosphere during Cenozoic times.

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RS & GIS-Based Spatialtemporal Analysis of Ecological Footprint and Biocapacity Pattern of Jinghe River Watershed in China: Does Supply Meet Demand?

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.356-360.2820 ◽

2011 ◽

Vol 356-360 ◽

pp. 2820-2832

Author(s):

Dong Xia Yue ◽

Jin Hui Ma ◽

Jian Jun Guo ◽

Jia Jing Zhang ◽

Jun Du ◽

...

Keyword(s):

Remote Sensing ◽

Spatial Distribution ◽

Ecological Footprint ◽

Spatial Scales ◽

Supply And Demand ◽

Remote Sensing Data ◽

Spatiotemporal Dynamics ◽

River Watershed ◽

Per Capita ◽

Jinghe River

The Ecological Footprint methodology is a framework that tracks Ecological Footprint (humanity’s demands on the biosphere) by comparing human demand against the regenerative capacity (Biocapacity) of the planet (WWF, 2010) to advance the science of sustainability. As such, the spatiotemporal dynamics of the Ecological Footprint (EF) and Biocapacity (BC) in a given watershed are important topics in the field of sustainability research based on remote sensing (RS) data and geographic information system (GIS) techniques．This paper reports on a case study of the Jinghe River Watershed using improved EF methodology with the help of GIS and high resolution remote sensing data, to quantitatively estimate the relationship between EF demand and BC supply and analyze their spatial distribution patterns at multiple spatial scales for four periods (1986, 1995, 2000 and 2008). We predict the future BC both overall, and of six categories of biological productivity area for the next four decades using the Markov Chain Method．The results showed that the spatial distribution of EF demand and BC supply were significantly uneven in the region, in which the per-capita EF of all counties located in the watershed increased continually from 1986 to 2008, and the EF per person of counties in the middle and lower reaches area was markedly greater than that in the upper reaches over time. On the supply side, the per-capita BC of all counties decreased gradually from 1986 to 2008, and the per-capita BC of counties in the upper reaches area was greater than that in the middle and lower reaches during the period, causing the uneven spatial distribution of Ecological budget-the gap between supply and demand, showed that the Jinghe River Watershed on the whole has begun to be unsustainable since 2008, with each county exhibiting differential temporal patterns. The prediction results showed that the total BC will increase continually from 2020 to 2050, and the BC of six categories will reduce, indicating that unsustainability in the region will escalate. As a whole, The EF demand has exceeded the BC supply, and the gap was widening in the Jinghe Watershed. This paper provided an in-depth portrait of the spatiotemporal dynamics of EF and BC, as well as their interactions with humanity and ecosystems.

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Forest biomass based on the forest communities and image spectral curve characteristics:a remote sensing estimation in Fujian Province

Acta Ecologica Sinica ◽

10.5846/stxb201606061086 ◽

2017 ◽

Vol 37 (17) ◽

Author(s):

苏华 SU Hua ◽

李静 LI Jing ◽

陈修治 CHEN Xiuzhi ◽

廖吉善 LIAO Jishan ◽

温达志 WEN Dazhi

Keyword(s):

Remote Sensing ◽

Spectral Curve ◽

Forest Biomass ◽

Forest Communities ◽

Fujian Province

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Geochronology and S–Pb–O–H isotopic constraints on the generation of the Luoyang Fe deposit in southwest Fujian Province, SE China

Resource Geology ◽

10.1111/rge.12247 ◽

2020 ◽

Vol 71 (1) ◽

pp. 63-79

Author(s):

Sen Wang ◽

Da Zhang ◽

Tengda Yu ◽

Ganguo Wu ◽

Yongjun Di ◽

...

Keyword(s):

Fujian Province ◽

Se China ◽

Isotopic Constraints

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A Dynamic Spatio-Temporal Analysis of Urban Expansion and Pollutant Emissions in Fujian Province

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17020629 ◽

2020 ◽

Vol 17 (2) ◽

pp. 629 ◽

Cited By ~ 1

Author(s):

Shen Zhao ◽

Guanpeng Dong ◽

Yong Xu

Keyword(s):

Remote Sensing ◽

Temporal Resolution ◽

Urban Expansion ◽

Living Environment ◽

Pollutant Emissions ◽

Pollutant Emission ◽

Fujian Province ◽

Emission Data ◽

Emissions Intensity ◽

Spatio Temporal

Urbanization processes at both global and regional scales are taking place at an unprecedent pace, leading to more than half of the global population living in urbanized areas. This process could exert grand challenges on the human living environment. With the proliferation of remote sensing and satellite data being used in social and environmental studies, fine spatial- and temporal-resolution measures of urban expansion and environmental quality are increasingly available. This, in turn, offers great opportunities to uncover the potential environmental impacts of fast urban expansion. This paper investigated the relationship between urban expansion and pollutant emissions in the Fujian province of China by building a Bayesian spatio-temporal autoregressive model. It drew upon recently compiled pollutant emission data with fine spatio-temporal resolution, long temporal coverage, and multiple sources of remote sensing data. Our results suggest that there was a significant relationship between urban expansion and pollution emission intensity—urban expansion significantly elevated the PM2.5 and NOx emissions intensity in Fujian province during 1995–2015. This finding was robust to different measures of urban expansion and retained after controlling for potential confounding effects. The temporal evolution of pollutant emissions, net of covariate effects, presented a fluctuation pattern rather than a consistent trend of increasing or decreasing. Spatial variability of the pollutant emissions intensity among counties was, however, decreasing steadily with time.

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