Long-term trends in chemical composition of precipitation at Lijiang, southeast Tibetan Plateau, southwestern China

2012 ◽  
Vol 106 ◽  
pp. 50-60 ◽  
Author(s):  
Ningning Zhang ◽  
Yuanqing He ◽  
Junji Cao ◽  
Kinfai Ho ◽  
Zhenxing Shen
2016 ◽  
Vol 125 ◽  
pp. 188-198 ◽  
Author(s):  
Litai Kang ◽  
Jianping Huang ◽  
Siyu Chen ◽  
Xin Wang

2014 ◽  
Vol 72 (6) ◽  
pp. 1827-1841 ◽  
Author(s):  
Li Zhang ◽  
HuaDong Guo ◽  
CuiZhen Wang ◽  
Lei Ji ◽  
Jing Li ◽  
...  

2021 ◽  
Author(s):  
Shanying Li ◽  
Weiwei Sun ◽  
Rong Chen ◽  
Zhijie Zhang ◽  
Dongliang Ning ◽  
...  

Abstract Owing to rapid socio-economic development in China, trace metal emissions have increased and lakes even in remote areas have experienced marked changes in the last century. However, there are limited studies revealing long-term trends, anthropogenic fluxes and spatial characteristics of trace metals in lakes. In this study, we present a geochemical record from Lake Qinghai in the northeastern Qinghai-Tibetan Plateau and reconstruct trace metal pollution history during the last two centuries. The lacustrine sediment core was dated by 137Cs and 210Pb, and sediments deposited prior to the 1850s were selected as the pre-industrial background. Factor analysis and enrichment factor indicated Cr, Cu and Ni generally originated from natural sources, while Cd, Pb and Zn have been influenced by human contamination since the mid-1980s. The anthropogenic Cd mainly derived from non-ferrous metal smelting in Gansu Province, and fluxes to Lake Qinghai sharply increased after the mid-1980s. The timing is similar to other lake sediment records from China and corresponds well with rapid economic development in China. The spatial pattern of anthropogenic Cd fluxes to lakes is primarily attributed to regional industrial emission, phosphate fertilizers and manure applied in agriculture.


2021 ◽  
Vol 1 (4) ◽  
pp. 1-25
Author(s):  
V.V. Ershov ◽  

The article provides an overview of Russian and foreign studies on assessment of the composition of atmospheric fallout and soil waters in forest ecosystems. The conclusion was made that little attention is given to the transformation of precipitation chemical composition by forest ecosystems, taking into account the influence of the species composition of the stand and the mosaic structure of the biogeocenosis (areas below the crowns, between the crowns, and open sites). European studies usually look at long-term development of the composition of atmospheric fallout and lysimetric waters, detecting long-term trends in composition changes of atmospheric and soil waters and identifying the factors driving these changes. In Russia, no such long-term (lasting for more than 10 years) continuous observations on the effect of man-made pollution on the composition and properties of atmospheric and soil waters were carried out. This task is very relevant for Russia and, especially, for its industrial regions.


2015 ◽  
Vol 28 (4) ◽  
pp. 1707-1722 ◽  
Author(s):  
Ning Lu ◽  
Kevin E. Trenberth ◽  
Jun Qin ◽  
Kun Yang ◽  
Ling Yao

Abstract Long-term trends in precipitable water (PW) are an important component of climate change assessments for the Tibetan Plateau (TP). PW products from Moderate Resolution Imaging Spectroradiometer (MODIS) are able to provide good spatial coverage of PW over the TP but limited in time coverage, while the meteorological stations in the TP can estimate long-term PW but unevenly distributed. To detect the decadal trend in PW over the TP, Bayesian inference theory is used to construct long-term and spatially continuous PW data for the TP based on the station and MODIS observations. The prior information on the monthly-mean PW from MODIS and the 63 stations over the TP for 2000–06 is used to get the posterior probability knowledge that is utilized to build a Bayesian estimation model. This model is then operated to estimate continuous monthly-mean PW for 1970–2011 and its performance is evaluated using the monthly MODIS PW anomalies (2007–11) and annual GPS PW anomalies (1995–2011), with RMSEs below 0.65 mm, to demonstrate that the model estimation can reproduce the PW variability over the TP in both space and time. Annual PW series show a significant increasing trend of 0.19 mm decade−1 for the TP during the 42 years. The most significant PW increase of 0.47 mm decade−1 occurs for 1986–99 and an insignificant decrease occurs for 2000–11. From the comparison of the PW data from JRA-55, ERA-40, ERA-Interim, MERRA, NCEP-2, and ISCCP, it is found that none of them are able to show the actual long-term trends and variability in PW for the TP as the Bayesian estimation.


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