Key Laboratory of Coastal Wetland Biogeosciences

Qingdao, China

Key Laboratory of Coastal Wetland Biogeosciences

Qingdao, China
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Li X.,CAS Qingdao Institute of Oceanology | Li X.,Key Laboratory of Coastal Wetland Biogeosciences | Li X.,Laboratory for Marine Mineral Resources | Ye S.-Y.,CAS Qingdao Institute of Oceanology | And 5 more authors.
Hydrogeology Journal | Year: 2017

A three-dimensional groundwater flow model was implemented to quantify the temporal variation of shallow groundwater levels in response to combined climate and water-diversion scenarios over the next 40 years (2011–2050) in Beijing-Tianjin-Hebei (Jing-Jin-Ji) Plain, China. Groundwater plays a key role in the water supply, but the Jing-Jin-Ji Plain is facing a water crisis. Groundwater levels have declined continuously over the last five decades (1961–2010) due to extensive pumping and climate change, which has resulted in decreased recharge. The implementation of the South-to-North Water Diversion Project (SNWDP) will provide an opportunity to restore the groundwater resources. The response of groundwater levels to combined climate and water-diversion scenarios has been quantified using a groundwater flow model. The impacts of climate change were based on the World Climate Research Programme’s (WCRP’s) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset for future high (A2), medium (A1B), and low (B1) greenhouse gas scenarios; precipitation data from CMIP3 were applied in the model. The results show that climate change will slow the rate of decrease of the shallow groundwater levels under three climate-change scenarios over the next 40 years compared to the baseline scenario; however, the shallow groundwater levels will rise significantly (maximum of 6.71 m) when considering scenarios that combine climate change and restrictions on groundwater exploitation. Restrictions on groundwater exploitation for water resource management are imperative to control the decline of levels in the Jing-Jin-Ji area. © 2017 Springer-Verlag Berlin Heidelberg


Pei S.,Key Laboratory of Coastal Wetland Biogeosciences | Pei S.,Function Laboratory for Marine Geology | Laws E.A.,Louisiana State University | Zhang H.,Ocean University of China | And 2 more authors.
PLoS ONE | Year: 2017

A comprehensive study of water quality, phytoplankton biomass, and photosynthetic rates in Liaodong Bay, China, during June and July of 2013 revealed two large patches of high biomass and production with dimensions on the order of 10 km. Nutrient concentrations were above growth-rate-saturating concentrations throughout the bay, with the possible exception of phosphate at some stations. The presence of the patches therefore appeared to reflect the distribution of water temperature and variation of light penetration restricted by water turbidity. There was no patch of high phytoplankton biomass or production in a third, linear patch of water with characteristics suitable for rapid phytoplankton growth; the absence of a bloom in that patch likely reflected the fact that the width of the patch was less than the critical size required to overcome losses of phytoplankton to turbulent diffusion. The bottom waters of virtually all of the eastern half of the bay were below the depth of the mixed layer, and the lowest bottom water oxygen concentrations, 3-5 mg L-1 , were found in that part of the bay. The water column in much of the remainder of the bay was within the mixed layer, and oxygen concentrations in both surface and bottom waters exceeded 5 mg L-1 . © 2017 Pei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Xu G.,CAS Qingdao Institute of Oceanology | Xu G.,Key Laboratory of Coastal Wetland Biogeosciences | Liu J.,CAS Qingdao Institute of Oceanology | Liu J.,Key Laboratory of Coastal Wetland Biogeosciences | And 5 more authors.
Marine Pollution Bulletin | Year: 2017

To constrain organic matter compositions and origins, elemental (TOC, TN, C/N) and stable carbon (δ13C) and nitrogen isotope (δ15N) compositions are measured for surface sediments collected from muddy deposit along the Zhejiang coast, East China Sea. The results showed that the TOC, TN, C/N, δ13C, and δ15N were 0.19-0.67%, 0.03-0.09%, 6.76-9.22, -23.43 to -20.26‰, and 3.93-5.27‰, respectively. The δ13C values showed that the mixing inputs of terrigenous and marine organic matter generally dominated sedimentary organic matter in the west part, and the sedimentary organic matters were mainly influenced by the marine organic matter in the east part of the study area. A stable carbon isotope two end member mixing model estimates ~38% terrestrial -derived and ~62% marine-derived inputs to sedimentary organic matter. Microbial mineralization strongly controls δ15N values, and therefore cannot be used to identify the provenance of organic matter for the Zhenjiang coast. © 2017.


Chen J.L.,CAS Chongqing Institute of Green and Intelligent Technology | Chen J.L.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Li G.S.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Li G.S.,Key Laboratory of Coastal Wetland Biogeosciences | And 3 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2017

Maximum light conversion efficiency (MLE) is a critical parameter for the Carnegie Ames Stanford Approach (CASA) model, which is widely used for modeling net primary productivity (NPP) globally. However, it is difficult to parameterize MLE using experiments and field observation. MLE is fundamental in ecological studies, therefore, modeling MLE is of vital importance and significance. The present study determined the MLE of a Phragmites salt marsh in the Liaohe River estuarine wetland in China. The main objectives of this study were to: (1) determine the MLE of a Phragmites salt marsh; and (2) investigate the sensibility of MLE to environmental factors. Factors included in the CASA model comprised the Absorbed Photosynthetically Active Radiation (APAR) using sunshine duration, which was obtained from the National Meteorological Information Center; Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), calculated using the Normalized Difference Vegetation Index (NDVI) determined from 16-day Moderate Resolution Imaging Spectroradiometer (MODIS) data; temperature and water stress coefficients, calculated using MODIS reflectance data; and meteorological variables including air temperature, precipitation, sunshine duration, air pressure, water vapor pressure, wind velocity, and relative humidity. Field observations of the NPP of the Phragmites salt marsh were conducted at 54 sampling areas with a size of 250 m × 250 m, of which 27 sites were used for modeling, and the remaining for validation. The results showed that the Phragmites salt marsh had a relatively high carbon conversion efficiency, with an average MLE of 1.667 gC/ MJ, varying between 1.112 and 2.611 g C/ MJ, which was much higher than the proposed value of 0.389 g C/ MJ by Potter. It was even higher than that of broad?leaved, coniferous, and theropencedrymion forests. The simulated MLE was sensitive to global solar radiation and NDVI, decreasing with their increase, which was more pronounced at lower values. This indicated that it is important to check data quality and increase the data accuracy of global solar radiation. In the present study, global solar radiation was estimated using sunshine duration, with an accuracy of 95%. The relative range of MLE affected by the error of global solar radiation was from -4.14% to 4.56%. MLE became less sensitive as NDVI increased, whereas the simulated values still fell into the MLE range, but the NDVI error increased by 30%. In practical applications, the differences in MODIS NDVI data were much smaller, suggesting that our results are universal and could be used for other satellite images with different spatial resolutions. The air temperature and precipitation errors had little effect on the simulated results, as MLE was not sensitive to them. The results of the sensitivity analysis increased the reliability and confidence of the simulated MLE for the Phragmites salt marsh, which is of great significance when studying the carbon sink and sequestration potential of Phragmites wetlands in China and other regions globally. © 2017, Ecological Society of China. All rights reserved.


Hu S.Y.,Qingdao University | Zhao Q.S.,Qingdao University | Ma J.Y.,Qinghai AVIC Resources Company Ltd | Ma J.Y.,Qaidam Integrated Geological Exploration Institute of Qinghai Province | And 2 more authors.
Water Resources and Environment - Proceedings of the International Conference on Water Resources and Environment, WRE 2015 | Year: 2016

The samples from pressurized brine in Mahai potash area were characterized by hydrochemical analysis. Based on their hydrochemical types and other analyzing results, the formation reason on the pressurized brine was inferred. By analyzing the scatter diagrams for the salinity and element concentration of pressurized brine, the change rules for the element concentration were found in the process of evaporating and concentrating the pressurized brine. Firstly, the element concentrations of Na+, Li+, SO2− 4 raise with increasing the salinity of pressurized brine. Secondly, the element concentrations of K+, Ca+ decrease with increasing the salinity of pressurized brine. Thirdly, the element concentrations of Rb+, Sr2+, HCO− 3 changes randomly with increasing the salinity of pressurized brine. By analyzing the correlation between these elements, it is found that the different elements have the same one replenishment sources. The results could be referenced in exploring and developing the potash salts of pressurized brine in Mahai potash area in Qinghai province. © 2016 Taylor & Francis Group, London.


Xu G.,CAS Qingdao Institute of Oceanology | Liu J.,CAS Qingdao Institute of Oceanology | Pei S.,CAS Qingdao Institute of Oceanology | Pei S.,Key Laboratory of Coastal Wetland Biogeosciences | And 2 more authors.
Environmental Science and Pollution Research | Year: 2015

Surface sediment grain size as well as the spatial distribution, pollution status, and source identification of heavy metals in the west Zhoushan Fishing Ground (ZFG) of the East China Sea were analyzed to study the geochemical background concentrations of heavy metals and to assess their potential ecological risk. Our results show that surface sediments in the eastern part of study area were mainly composed of sand-sized components. Spatial distributions of heavy metals were mainly controlled by grain size and terrigenous materials, and their concentrations in the coarsest grain sediments formed primarily during the Holocene transgressive period could represent the element background values of our study area. Contamination factor suggests that there was no pollution of Pb, Zn, and Cr generally in our study area and slight pollution of Cu, Cd, and As (especially Cu) at some stations. In addition, ecological harm coefficient indicates that the ecological risk of each heavy metal, except for Cd, at two stations was low as well. These results are consistent with the pollution load index and ecological risk index, which suggest both the overall level of pollution and the overall ecological risk of six studied metals in sediment were relatively low in our study area. Enrichment factor indicates that the heavy metals came mostly from the natural source. Summarily, the quality level of sediment in our study area was relatively good, and heavy metals in sediments could not exert threat to aquatic lives in the ZFG until now. © 2015, Springer-Verlag Berlin Heidelberg.


Xu G.,CAS Qingdao Institute of Oceanology | Xu G.,Key Laboratory of Coastal Wetland Biogeosciences | Liu J.,CAS Qingdao Institute of Oceanology | Pei S.,CAS Qingdao Institute of Oceanology | And 3 more authors.
Journal of Geochemical Exploration | Year: 2016

The geochemical background concentration (GBC) of potentially toxic metals in coastal surface sediments is a useful reference to assess the extent of sediment contamination caused by human activities. Using surface sediments collected from the Zhejiang coastal mud area of the East China Sea, a regional GBC function (GBCF) for potentially toxic metals in sediments was constructed based on statistical techniques. Principal component analysis (PCA) was utilized to identify potentially toxic metal sources. For potentially toxic metals of natural origin, the GBCF was developed by directly fitting concentration with Al2O3 in a linear regression model. For potentially toxic metals of anthropogenic origin, concentration data were normalized with Al2O3 to eliminate the influences of grain size and mineral, and cleaned by the cumulative distribution function before linear regression analyses. At each sampling station, the enrichment factor (EF) was modified by the corresponding GBC calculated from the GBCF, and was then applied to identify metal sources. The EF results were consistent with those of the PCA and correlation analyses, indicating that the GBCs of potentially toxic metals at each station were applicable. The approach used in this study will be useful for assessing potentially toxic metal pollution in sediment and managing sediment quality. © 2016 Elsevier B.V.


PubMed | University of Chinese Academy of Sciences, Key Laboratory of Coastal Wetland Biogeosciences, Qingdao University, Eastern China Geological & Mining Organization for Non ferrous Metals in Jiangsu Province and CAS Qingdao Institute of Oceanology
Type: Journal Article | Journal: Marine pollution bulletin | Year: 2016

The distribution, sources, and ecological risk assessment of 16 polycyclic aromatic hydrocarbons (PAHs) in surface sediments from the Nantong coast in China were investigated. The results indicated that the total concentrations of the 16 PAHs in the surface sediments from the study area ranged from 1.4 to 87.1ngg


Gao Z.,Qingdao University | Li Y.,Qingdao University | Zhao Q.,Qingdao University | Xie L.,Qingdao University | Ye S.,Key Laboratory of Coastal Wetland Biogeosciences
Shuikexue Jinzhan/Advances in Water Science | Year: 2015

To predict the time scale for the effects of salt release from sediments on estuary reservoir water, a transient diffusional model was developed to describe the profile of salts in the pore water of sediments. The upper boundary condition and the salt diffusion coefficient of this model were optimized to decrease the uncertainty of the simulation results. A comparison of the transient and steady state release of salts from sediments shows that transient release agrees well with the actual process. The result of a transient simulation for salt release illustrates that it takes more than 600 years for saline sediments to affect the fresh overlying water in the Muguandao Estuary Reservoir. This duration is significantly longer than the life span of a reservoir. The result suggests that instead of measures being taken only at the early stage of an estuary reservoir, effective measures such as periodic monitoring of benthic water and discharging of benthic brackish water should be implemented to prevent salinization throughout its life cycle. ©, 2015, China Water Power Press. All right reserved.


Chen J.-L.,CAS Chongqing Institute of Green and Intelligent Technology | Chen J.-L.,Chinese Academy of Sciences | Chen J.-L.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research | Chen J.-L.,Key Laboratory of Coastal Wetland Biogeosciences | And 4 more authors.
Energy Conversion and Management | Year: 2013

Estimation of solar radiation from sunshine duration offers an important alternative in the absence of measured solar radiation. However, due to the dynamic nature of atmosphere, accurate estimation of daily solar radiation has been being a challenging task. This paper presents an application of Support vector machine (SVM) to estimation of daily solar radiation using sunshine duration. Seven SVM models using different input attributes and five empirical sunshine-based models are evaluated using meteorological data at three stations in Liaoning province in China. All the SVM models give good performances and significantly outperform the empirical models. The newly developed model, SVM1 using sunshine ratio as input attribute, is preferred due to its greater accuracy and simple input attribute. It performs better in winter, while highest root mean square error and relative root mean square error are obtained in summer. The season-dependent SVM model is superior to the fixed model in estimation of daily solar radiation for winter, while consideration of seasonal variation of the data sets cannot improve the results for spring, summer and autumn. Moreover, daily solar radiation could be well estimated by SVM1 using the data from nearby stations. The results indicate that the SVM method would be a promising alternative over the traditional approaches for estimation of daily solar radiation. © 2013 Elsevier Ltd. All rights reserved.

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