Fujian Institute of Oceanography

Xiamen, China

Fujian Institute of Oceanography

Xiamen, China
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Wang H.-J.,Xiamen University | Zhang L.-Y.,Xiamen University | Zhang L.-Y.,Fujian institute of oceanography | Ding S.-X.,Xiamen University
International Journal of Molecular Sciences | Year: 2011

Twenty microsatellite markers were isolated and characterized from the Chinese black sleeper, Bostrychus sinensis. Loci were screened in 30 individuals from Taiwan. For each locus, the number of alleles varied from 4 to 22 with mean expected and observed heterozygosity of 0.79 and 0.66, respectively. One locus significantly deviated from Hardy-Weinberg equilibrium after Bonferroni correction and no significant linkage disequilibrium was detected. This set of microsatellites will provide a suitable tool for population genetic studies of Chinese black sleeper. © 2011 by the authors; licensee MDPI, Basel, Switzerland.

Huang H.,Nanjing Southeast University | Chen X.,Nanjing Southeast University | Zhang J.,Fujian Institute of Oceanography
IEEE Access | Year: 2016

High accuracy attitude estimation plays an important role in gliding with long endurance for an underwater glider. Because MEMS (Micro-Electro-Mechanical System) inertial sensors have advantages including small size and low power consumption, they are used as main sensors to determine navigation information. However, in the complicated and harsh underwater environment, the performances of MEMS sensors degrade and errors will become larger. Moreover, acceleration or deceleration while gliders going up and down, sudden vibration of gliders due to inevitable disturbances will bring larger errors for sensors. So it is difficult to acquire the high accuracy attitude calculated by IMU (inertial measurement unit). In order to solve the above problem, firstly, a novel weight self-adjustment extended Kalman filtering method, which can adjust the weight autonomously through estimating adaptively measurement noise, is proposed to perform the optimal error estimation. Moreover, a fusion method which integrates the Adams implicit formula with the weight self-adjustment filtering method is proposed to achieve the more improvement in attitude estimation accuracy. The performance of this proposed algorithm is evaluated by the theoretical proofs and simulations. Subsequently, it is tested by the ship experiments and the lake trials. The results show that this proposed algorithm has a better performance in terms of attitude estimation accuracy than EKF-only and SAEKF (self-adjustment extended Kalman filtering) in this paper. Meanwhile, this algorithm has good robustness for attitude calculation even though pitch angle changes large. © 2016 IEEE.

Huang J.,Xiamen University | Tu Z.,Fujian Institute of Oceanography | Du P.,Tsinghua University | Lin J.,Xiamen University | Li Q.,Xiamen University
Journal of Environmental Sciences | Year: 2010

Monitoring data are often used to identify stormwater runoff characteristics and in stormwater runoff modelling without consideration of their inherent uncertainties. Integrated with discrete sample analysis and error propagation analysis, this study attempted to quantify the uncertainties of discrete chemical oxygen demand (COD), total suspended solids (TSS) concentration, stormwater flowrate, stormwater event volumes, COD event mean concentration (EMC), and COD event loads in terms of flow measurement, sample collection, storage and laboratory analysis. The results showed that the uncertainties due to sample collection, storage and laboratory analysis of COD from stormwater runoff are 13.99%, 19.48% and 12.28%. Meanwhile, flow measurement uncertainty was 12.82%, and the sample collection uncertainty of TSS from stormwater runoff was 31.63%. Based on the law of propagation of uncertainties, the uncertainties regarding event flow volume, COD EMC and COD event loads were quantified as 7.03%, 10.26% and 18.47%. © 2010 The Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences.

Lin J.,Xiamen University | Huang J.-L.,Xiamen University | Du P.-F.,Tsinghua University | Tu Z.-S.,Fujian Institute of Oceanography | Li Q.-S.,Xiamen University
Huanjing Kexue/Environmental Science | Year: 2010

Sensitivity analysis of urban-runoff simulation is a crucial procedure for parameter identification and uncertainty analysis. Local sensitivity analysis using Morris screening method was carried out for urban rainfall runoff modelling based on Storm Water Management Model (SWMM). The results showed that Area, %Imperv and Dstore-Imperv are the most sensitive parameters for both total runoff volume and peak flow. Concerning total runoff volume, the sensitive indices of Area, %Imperv and Dstore-Imperv were 0.46-1.0, 0.61-1.0, -0.050--5.9, respectively; while with respect to peak runoff, they were 0.48-0.89, 0.59-0.83, 0--9.6, respectively. In comparison, the most sensitive indices (Morris) for all parameters with regard to total runoff volume and peak flow appeared in the rainfall event with least rainfall; and less sensitive indices happened in the rainfall events with heavier rainfall. Furthermore, there is considerable variability in sensitive indices for each rainfall event. %Zero-Imperv's coefficient variations have the largest values among all parameters for total runoff volume and peak flow, namely 221.24% and 228.10%. On the contrary, the coefficient variations of conductivity among all parameters for both total runoff volume and peak flow are the smallest, namely 0.

Huang J.,Xiamen University | Tu Z.,Fujian Institute of Oceanography | Du P.,Tsinghua University | Li Q.,Xiamen University | Lin J.,Xiamen University
Frontiers of Environmental Science and Engineering in China | Year: 2012

Characteristics of rainfall runoff from a 3. 26 hm 2 urban catchment with predominant land-use as lawn in Xiamen City, South-east China were investigated and analyzed. Water quality and quantity measurements of rainfall runoff were conducted for ten rainfall events over the period March, 2008 to April, 2009. The results indicated that chemical oxygen demand (COD) and total phosphorus (TP) were the major pollutants with event mean concentrations of 56. 09 and 0. 44 mg·L -1. From hydrograph and pollutograph analysis of two typical rainfall events, it was clear that the peak rainfall preceded the peak flowrate by about 15-20 min. Meanwhile, concentrations of major pollutants showed multiple peaks and these peaks usually preceded peak flowrate. There were no distinctive first-flush effects except for the rainfall events with the longest rainfall duration and largest runoff volume, which was verified by the fact that the first 30% runoff volume (FF30) carried 39. 36% of the total suspended solids (TSS) load, 35. 17% of the COD load, 28. 13% of the TP load and 39. 03% of the nitrate nitrogen load. Multivariate regression analysis further demonstrated that the total runoff volume had a positive correlation with the FF30 of TSS and COD. © 2011 Higher Education Press and Springer-Verlag Berlin Heidelberg.

Huang J.,Xiamen University | Li Q.,Xiamen University | Tu Z.,Fujian Institute of Oceanography | Pan C.,Xiamen University | And 4 more authors.
Ocean and Coastal Management | Year: 2013

A systematic approach was developed to quantify land-based pollutant loads in selected bays in China where there is sparse or limited relevant data. The approach was applied to Luoyuan Bay and Xiamen Bay. Despite the data limitations in the two study areas, the approach was able to show that in Luoyuan Bay, the chemical oxygen demand (CODMn) load was mainly from soil losses, which accounted for 63 percent of the total pollutant load, whereas point sources only contributed 4 percent. Soil losses constituted the main pollution source for total nitrogen (TN) and total phosphorus (TP). Similarly, spatial variability of the source portion of land-based pollution was detected in Xiamen Bay. Non-point sources were the main source of CODMn load in all Xiamen Bay sub-sea areas, accounting for over 60 percent of the total pollutant loads. Non-point sources contributed largely to the TN and TP loads for most Xiamen Bay sub-seas. However, river discharges and point sources of pollution were also responsible for considerable TN and TP loads in some sub-seas. The application of the approach at the two bays resulted in a clear identification of the source apportionment and spatial distribution of land-based pollutant loads. © 2012 Elsevier Ltd.

Gao Y.,Xiamen University | Yu Y.,Xiamen University | Liang J.,Xiamen University | Luo Q.,Fujian Institute of Oceanography
Proceedings - 2012 International Conference on Biomedical Engineering and Biotechnology, iCBEB 2012 | Year: 2012

Development and utilization of bio-energy is an important way to relieve the pressure of global energy shortage. Biodiesel can be a focus of the bio-energy, because it is a cleaner-burning and renewable fuel. Micro algae have been considered to be an ideal source of biodiesel for its high growth rate and high lipid content. Benthic diatoms in tidal mud are considered to be new candidate for obtaining high lipid content micro algal strains although they have not been well noticed. The purpose of this study is getting the diatom strains with high-lipid content from tidal mud toward biofuel production. With microtubule method, four diatom strains were successfully isolated from the tidal mud located in Haicang, Xiamen. They are Navicula halophila, Nitzschia frustulum var. symbiotica, Amphora coffeaeformis, and Nitzschia closterium. The characteristics of morphology, ecology, and distribution of each species are described in the present paper with images of light microscope and electron microscope. Diatoms were cultured in the laboratory and the lipid content of each strain was determined. The lipid content (% dried weight) of the four diatoms are: Navicula halophila 39.1%, Nitzschia frustulum var. symbiotica 35.7%, Amphora coffeaeformis 26.1%, and Nitzschia closterium 18.9%. The result indicates that the lipid content of diatoms from tidal mud is relatively higher compared to the strains from seawater which can be a good source candidate of micro algal biodiesel. © 2012 IEEE.

Liu S.,Xiamen University | Liu S.,Fujian Institute of Oceanography | Luo Y.,Xiamen University | Huang L.,Xiamen University
Applied Microbiology and Biotechnology | Year: 2016

Everyday huge amount of treated municipal wastewater is discharged into the coastal seawater. However, microbial biomarkers for the municipal effluent instead of the fecal species from raw sewage have not been proposed. Meanwhile, bacterial taxa for degrading large amounts of input organics have not been fully understood. In this study, raw effluent and serial water samples were collected from the coastal dispersal of two sewage treatment plants in Xiamen, China. Free-living (FL) and particle-associated (PA) bacterial communities were analyzed via high-throughput sequencing of 16S rRNA gene and quantitative PCR to measure bacterial abundance. The PA bacterial communities in our samples exhibited higher cell abundance, alpha diversity, and population dynamics than the FL bacterial communities, which supports greater environmental significance of the PA bacterial communities. Two non-fecal but typical genera in activated sludge, Zoogloea and Dechloromonas, exhibited decreased but readily detectable abundance along the effluent dispersal distance. Furthermore, the dominating microbial species near the outfalls were related to well-known marine indigenous taxa, such as SAR11 clade, OM60 clade, low-GC Actinobacteria, and unclassified Flavobacteriales, as well as the less understood taxa like Pseudohongiella and Microbacteriaceae. It is interesting that these taxa exhibited two types of correlation patterns with COD concentration. Our study suggested Zoogloea as a potential indicator of municipal effluents and also proposed potential utilizers of residual effluent COD in marine environments. © 2016 Springer-Verlag Berlin Heidelberg

Liu D.,Wuhan University | Li Y.,Wuhan University | Xu L.,Fujian Institute of Oceanography | Yu Y.,Wuhan University
Environmental Earth Sciences | Year: 2015

A wellbore and a combined reservoir system are essential for the management of subsurface fluid resources and the geological storage of CO2. But the interaction between wellbore and reservoir flow is often neglected in studies of the combined system. A 2D radial model, considering the interaction of wellbore and reservoir flow was developed to investigate its impact on CO2 geological sequestration. The mass, energy and momentum equations for the wellbore and reservoir were solved using T2Well/ECO2N. The gas flow rate of the reservoir and wellbore are predicted, and the impact of interaction between wellbore and reservoir flow on the CO2 plume distribution and evolution was investigated. Furthermore, the influence of the CO2 injection rate, reservoir properties and salinity on the distribution of wellbore and reservoir flow was also explored. Interaction between the wellbore and reservoir flows determines the distribution of the reservoir gas flow rate which combined with layer thickness and porosity controls the horizontal distribution and evolution of the CO2 plume. The CO2 wellhead injection rate and reservoir properties (including lateral transmissivity, permeability) are vital factors influencing wellbore and reservoir flows. However, reservoir salinity has little effect on the interaction between the wellbore flow and the reservoir flow, but increased reservoir salinity can accelerate the horizontal migration of CO2. The results of this study may help to change the widely held opinion that the distribution of the injected CO2 among the individual layers is simply proportional to their transmissivity, and thereby enhance our understanding of CO2 evolution beneath the surface and provide theoretical support for safe and potential geological storage of CO2. © 2015, Springer-Verlag Berlin Heidelberg.

Huang J.,Chinese Institute of Urban Environment | Huang J.,Xiamen Key Laboratory of Urban Metabolism | Lin T.,Chinese Institute of Urban Environment | Lin T.,Xiamen Key Laboratory of Urban Metabolism | Hu D.J.,Fujian Institute of Oceanography
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2014

Eco-province, eco-city and eco-county construction programs started in China in 2000, and since then, there have been more than 15 provinces including Fujian, Hainan, Zhejiang, Jiangsu etc. completed eco-province construction planning. Scientific and effective indicator system is an important tool to carry out the assessment, planning and management of regional ecological construction. However, some problems still exist in the construction of ecological indicator system, such as lack of systematic study on the essence of the indicator and subjective process of indicator selection, which severely impair the science and validity of the ecological indicator system. An objective and scientific process of selection supplies the way for fast ecological construction planning and its adjustment in the future. This paper combines the network analysis and quantitative selection of indicators to build an ecological indicator system based on the previous practice in Fujian Province. We (1) analyzed the main problems existed in the ecological construction, implementation and development process, summarized the previous assessment indicators in the current ecological construction, studied the targets of Fujian eco-province construction practice, and established theme-oriented eco-province construction assessment network indicator system which contained 4 hierarchies and 55 concrete indicators representing experts and stakeholders'opinions; (2) identified the relationships among the indicators at the same or different hierarchies through the analysis of the cause-effect relationship, ecological processes and management requirements, and transformed them into an ecological hierarchy network (EHN) framework and assigned the weights of all the indicators based on the hierarchical structure and complex linkages of the EHN framework; (3) established indicator selection standard matrix which included measurable, vulnerable, predictable, typical, controllable, integrative, responsive, and stable criteria and built alternative indicator matrix of assessment system for ecological construction according to the scientific and efficient application standards of ecological indicator; (4) built a multi-objective selection model concerning socio-economic costs and ecological integrity and quantitatively select the ecological indicators system that is suitable for Fujian eco-province construction practice by genetic algorithm method. According to the selection results, at least 44 concrete indicators should be selected in the ecological construction assessment system of Fujian Province, 11 indicators were dropped out from the 55 alternative concrete indicators. The results showed that our research would be helpful for understanding the essence of the assessment indicator system of ecological province construction, improving the scientific and systematic level of indicator system construction, and enhancing the practicability of ecological indicator system for ecological construction assessment, planning and management. For the reason that it is hard to simulate the whole system by a purely mathematical model due to the limited understanding of complex ecosystem and social ecological system, it is suggested that the theme-oriented framework and network framework should be coupled with subjective and quantitative indicator selections for ecological construction practices of other provinces in China. © 2014, Ecological Society of China. All rights reserved.

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