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Guo W, He N, Ban X, Wang H. Multi-scale variability of hydrothermal regime based on wavelet analysis - The middle reaches of the Yangtze River, China. Sci Total Environ 2022; 841:156598. [PMID: 35690198 DOI: 10.1016/j.scitotenv.2022.156598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/12/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
Water temperature is a major driver of riverine ecosystems and has an extremely significant impact on them. Understanding the multi-scale water temperature dynamics in a river basin is critical to analyze the water temperature status of rivers. In this study, the intra-annual and inter-annual time series of water temperature (WT) at Yichang station in the middle reaches of the Yangtze River over the past 62 years was analyzed using complex Morlet wavelet functions to reveal the complex structure of water temperature variation at multiple time scales. The ecological impact of water temperature changes on the reproduction of the "Four Major Chinese Carp" under the influence of the Three Gorges Dam (TGD). The results showed that the water temperature at Yichang Station has a multi-level time scale structure, with an increasing trend at the inter-annual scale from 1956 to 2017, but different variations at the seasonal scale, and the water temperature cycles at both the inter-annual and seasonal scales have time scale variations of about 8-14 years and 4-7 years, with obvious characteristics of WT variation stages. The inter-annual and summer scales will have low WT in 2017-2022 and high WT in 2023-2027, while the other seasonal scales will have high WT in the next few years, either in the short or medium term. The correlation between air temperature and WT is the most significant among the three drivers of air temperature, flow and rainfall, and the correlation between WT and the air temperature is the most significant in winter scale under the influence of the Three Gorges Dam construction. Since the completion of TGD in 2003, the summer drainage temperature has decreased and the breeding period of the "Four Major Chinese Carp" has been shortened by 30-40 days compared to that before the construction of TGD. The results of this study can be used as a basis for further exploration of the formation mechanism of river water temperature and provide a scientific basis for river ecological protection.
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Affiliation(s)
- Wenxian Guo
- North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
| | - Ning He
- North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
| | - Xuan Ban
- Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, CAS, Wuhan 430077, China.
| | - Hongxiang Wang
- North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
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Lu X, Wang X, Ban X, Singh VP. Considering ecological flow in multi-objective operation of cascade reservoir systems under climate variability with different hydrological periods. J Environ Manage 2022; 309:114690. [PMID: 35151141 DOI: 10.1016/j.jenvman.2022.114690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/21/2021] [Accepted: 02/05/2022] [Indexed: 06/14/2023]
Abstract
The trade-off between ecological and socioeconomic benefits in the reservoir operation has become a focus issue in the watershed water resource management. However, finding a suitable reservoir ecological operation scheme in the multi-objective cascade reservoir systems remains unclear. At present, most ecological operation models are designed on the basis of water quantity balance, neglecting the dynamic variability of the hydrological process. This study proposed a multi-objective ecological operation system, which coupled a two-dimensional hydrodynamic model with a rainfall-runoff model, and integrated the ecological operation scheme into the hydrodynamic simulation system considering ecological flow. Moreover, the applicability of the operation scheme under climate variability with different hydrological periods was evaluated. Results indicated that multi-reservoir joint operation had the largest effect in normal years; the variation in the monthly hydrological magnitude, extreme events and their duration, temporal change and frequency of streamflow were significantly reduced after reservoir ecological operation. The SAM0-UNICON model performed better than the two other climate models, the ecological deficit (ED) under the Representative Concentration Pathway (RCP) 8.5 climate change scenario was larger than other scenarios with different operation schemes. Future climate change will have a larger impact on discharge change in the wet season than in other hydrological periods. This study emphasises the comprehensive application of the hydrological and hydrodynamic methods, which is of considerable importance for decision-making in basin water resource management and reservoir regulation.
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Affiliation(s)
- Xiaorong Lu
- Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, China; Department of Biological and Agricultural Engineering & Zachry Department of Civil Engineering, Texas A&M University, 2117 College Station, TX, 77843, USA
| | - Xuelei Wang
- Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, China.
| | - Xuan Ban
- Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, China
| | - Vijay P Singh
- Department of Biological and Agricultural Engineering & Zachry Department of Civil Engineering, Texas A&M University, 2117 College Station, TX, 77843, USA
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Zhou Y, Li J, Qi H, Yang H, Ban X, Yang J, Du H. Riverbed Substrate Requirements for Natural Reproduction of Gymnocypris przewalskii. Animals (Basel) 2021; 11:ani11113246. [PMID: 34827978 PMCID: PMC8614266 DOI: 10.3390/ani11113246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022] Open
Abstract
Gymnocypris przewalskii (i.e., Qinghai Lake naked carp) is a migratory fish species that lives in highland brackish water. It is important to understand the abiotic environment required by this fish to reproduce naturally so that its habitat can be protected and the wild population can be conserved. Here, artificial simulation and spawning ground substrate transformation experiments were conducted to examine the riverbed substrate requirements for G. przewalskii to naturally reproduce. Using various techniques (in vitro markers, videography, and Ethovision XT behavior tracking), this study systematically investigated the riverbed substrate preferences of G. przewalskii as well as the characteristics and effectiveness of natural reproduction induced by pebble riverbed substrate. The findings can be summarized as follows: (1) the habitat preferences of G. przewalskii differed significantly between various riverbed substrate, with pebble substrate being preferred during natural reproduction, and sand substrate being preferred pre- and post-spawning, and (2) the natural reproduction of G. przewalskii was heavily reliant on pebble riverbed substrate. Specifically, pebble substrate significantly improved spawn quantity and fertilization rate. These findings provide scientific evidence for the improvement and restoration of G. przewalskii spawning grounds, and insights regarding the artificial bionic reproduction of G. przewalskii.
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Affiliation(s)
- Yanghao Zhou
- Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (Y.Z.); (J.L.); (H.Y.)
- College of Fisheries, Huazhong Agricultural University, Wuhan 430037, China
| | - Junyi Li
- Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (Y.Z.); (J.L.); (H.Y.)
| | - Hongfang Qi
- Qinghai Key Laboratory of Breeding and Protection of Naked Carp, Qinghai Lake Naked Carp Rescue Center, Xining 810016, China; (H.Q.); (J.Y.)
| | - Haile Yang
- Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (Y.Z.); (J.L.); (H.Y.)
| | - Xuan Ban
- Hubei Key Laboratory of Environmental and Disaster Monitoring and Assessment, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China;
| | - Jianxin Yang
- Qinghai Key Laboratory of Breeding and Protection of Naked Carp, Qinghai Lake Naked Carp Rescue Center, Xining 810016, China; (H.Q.); (J.Y.)
| | - Hao Du
- Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; (Y.Z.); (J.L.); (H.Y.)
- Qinghai Key Laboratory of Breeding and Protection of Naked Carp, Qinghai Lake Naked Carp Rescue Center, Xining 810016, China; (H.Q.); (J.Y.)
- Correspondence:
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Zhang T, Ban X, Wang X, Cai X, Li E, Wang Z, Yang C, Zhang Q, Lu X. Analysis of nutrient transport and ecological response in Honghu Lake, China by using a mathematical model. Sci Total Environ 2017; 575:418-428. [PMID: 27750138 DOI: 10.1016/j.scitotenv.2016.09.188] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2016] [Revised: 09/22/2016] [Accepted: 09/23/2016] [Indexed: 06/06/2023]
Abstract
A two-dimensional (2D) water quality model was established to determine the response of water quality variables and submerged aquatic vegetation biomass to load reduction from watershed inflows and enclosure aquaculture in Honghu Lake in China. Results showed that the total nitrogen (TN) and total phosphorus (TP) loads from upstream discharge were the major external loads in the lake, accounting for 70% and 63% of the total loads, respectively. Scenario simulation results indicated that 93.2% of the lake area in summer (August) and 89.5% in autumn (November) could reach the protective targets (TN<1.0mg/L) under 50% reduction of inflow TN loads. Meanwhile, 58.7% of the lake area in summer and 63.1% in autumn could reach the protective targets (TP<0.05mg/L) under 50% reduction of aquaculture areas. The mass budget results of TN and TP showed that TP immobilisation was larger than TN immobilisation. The immobilisations for TN and TP from July to September were higher than those of other months under the combined impacts of increasing runoff during the wet period, phytoplankton bloom and water residence time. The 2D water quality model provided a relevant example for assessing the effects of runoff and aquaculture activities and served as scientific support for lake management to improve water quality in large shallow macrophytic lakes.
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Affiliation(s)
- Ting Zhang
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; University of Chinese Academy of Sciences, No. 19A Yuquan Rd., Beijing 100049, China; School of Resource and Environmental Science and Engineering, Hubei University of Science and Technology, No. 88 Xianning Rd., Xianning, 437100, Hubei, China
| | - Xuan Ban
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; Hubei Key Laboratory of Environment and Disaster Monitoring and Evaluation, No. 340 Xudong Rd., Wuhan 430077, Hubei, China
| | - Xuelei Wang
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; Hubei Key Laboratory of Environment and Disaster Monitoring and Evaluation, No. 340 Xudong Rd., Wuhan 430077, Hubei, China.
| | - Xiaobin Cai
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; Hubei Key Laboratory of Environment and Disaster Monitoring and Evaluation, No. 340 Xudong Rd., Wuhan 430077, Hubei, China
| | - Enhua Li
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; Hubei Key Laboratory of Environment and Disaster Monitoring and Evaluation, No. 340 Xudong Rd., Wuhan 430077, Hubei, China
| | - Zhi Wang
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; Hubei Key Laboratory of Environment and Disaster Monitoring and Evaluation, No. 340 Xudong Rd., Wuhan 430077, Hubei, China
| | - Chao Yang
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; University of Chinese Academy of Sciences, No. 19A Yuquan Rd., Beijing 100049, China
| | - Qing Zhang
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; University of Chinese Academy of Sciences, No. 19A Yuquan Rd., Beijing 100049, China
| | - Xiaorong Lu
- Institute of Geodesy and Geophysics, Chinese Academy of Sciences, No. 340 Xudong Rd., Wuhan 430077, Hubei, China; University of Chinese Academy of Sciences, No. 19A Yuquan Rd., Beijing 100049, China
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Ban X, Wu J, Mo Y, Yang Q, Liu X, Xie C, Zhang R. Lymphoepithelial carcinoma of the salivary gland: morphologic patterns and imaging features on CT and MRI. AJNR Am J Neuroradiol 2014; 35:1813-9. [PMID: 24831594 PMCID: PMC7966265 DOI: 10.3174/ajnr.a3940] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Accepted: 02/11/2014] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Lymphoepithelial carcinoma is a rare salivary gland lesion. We retrospectively reviewed CT and MR imaging features of salivary gland lymphoepithelial carcinoma to determine their imaging features and morphologic patterns. MATERIALS AND METHODS The clinical data, CT, and MR imaging findings of 28 patients with histologically proved lymphoepithelial carcinoma of the salivary gland were retrospectively reviewed. Morphologic patterns of the lesions were categorized into 3 types on the basis of margin and shape. RESULTS There were 17 men and 11 women with a mean age of 39.3 years; 96.4% of patients were positive for Epstein-Barr virus both on histologic staining and Epstein-Barr virus serology. Tumors were parotid in 18 patients, submandibular in 8 patients, sublingual in 1 patient, and palatal in 1 patient. Most tumors (57.1%) manifested as a partially or ill-defined mass with a lobulated or plaque-like shape. Homogeneous enhancement was found in 16 patients, while heterogeneous enhancement was found in 12, including 4 patients with intratumoral necrosis. Invasion into adjacent structures was found in 5 patients; 60.7% of patients exhibited abnormal lymph nodes, with nodal necrosis in 3 patients. CONCLUSIONS The characteristic lobulated or plaque-like shape, with a partially or ill-defined margin, of a salivary gland mass associated with ipsilateral lymphadenopathy may suggest a preoperative diagnosis of lymphoepithelial carcinoma.
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Affiliation(s)
- X Ban
- From the Medical Imaging and Minimally Invasive Interventional Center and State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - J Wu
- From the Medical Imaging and Minimally Invasive Interventional Center and State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Y Mo
- From the Medical Imaging and Minimally Invasive Interventional Center and State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Q Yang
- From the Medical Imaging and Minimally Invasive Interventional Center and State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - X Liu
- From the Medical Imaging and Minimally Invasive Interventional Center and State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - C Xie
- From the Medical Imaging and Minimally Invasive Interventional Center and State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - R Zhang
- From the Medical Imaging and Minimally Invasive Interventional Center and State Key Laboratory of Oncology in Southern China, Cancer Center, Sun Yat-sen University, Guangzhou, China.
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Ban X, Wu Q, Pan B, Du Y, Feng Q. Application of composite water quality identification index on the water quality evaluation in spatial and temporal variations: a case study in Honghu Lake, China. Environ Monit Assess 2014; 186:4237-4247. [PMID: 24615690 DOI: 10.1007/s10661-014-3694-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 02/20/2014] [Indexed: 06/03/2023]
Abstract
Composite Water Quality Identification Index (CWQII) and multivariate statistical techniques were used to investigate the temporal and spatial variations of water quality in Honghu Lake. The aims are to explore the characteristics of water quality trends in annual, monthly, and site spatial distribution and to identify the main pollution factors. The results showed that the values of CWQII increased from 2.0 to 4.0 from the years 2001 to 2005, then decreased from 2006 and kept a balance between 2.0 and 3.0 from 2006 to 2011, indicating that the water quality of Honghu Lake deteriorated from 2001 to 2005 and has gradually improved since 2006, which were likely achieved after water protection measurements taken since 2004. The monthly change rules of water quality were influenced by a superposition of natural processes and human activities. In samples numbered 1-9 from upstream to downstream, the maximum values of CWQII often occurred in sample site 9 while the minimum ones often occurred in sample site 2, indicating that the water quality near the upstream tributary was the poorest and that in the core zone was the best. Incoming water from the trunk canal of the Sihu area upstream was the largest pollution source. The sensitive pollution nutrients were mainly caused by the total nitrogen, followed by the total phosphorus.
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Affiliation(s)
- Xuan Ban
- Key Laboratory of Monitoring and Estimate for Environment and Disaster of HuBei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China,
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Feng Q, Wu S, Du Y, Xue H, Xiao F, Ban X, Li X. Improving Neural Network Prediction Accuracy for PM 10 Individual Air Quality Index Pollution Levels. Environ Eng Sci 2013; 30:725-732. [PMID: 24381481 PMCID: PMC3875204 DOI: 10.1089/ees.2013.0164] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2013] [Accepted: 09/10/2013] [Indexed: 05/29/2023]
Abstract
Fugitive dust deriving from construction sites is a serious local source of particulate matter (PM) that leads to air pollution in cities undergoing rapid urbanization in China. In spite of this fact, no study has yet been published relating to prediction of high levels of PM with diameters <10 μm (PM10) as adjudicated by the Individual Air Quality Index (IAQI) on fugitive dust from nearby construction sites. To combat this problem, the Construction Influence Index (Ci) is introduced in this article to improve forecasting models based on three neural network models (multilayer perceptron, Elman, and support vector machine) in predicting daily PM10 IAQI one day in advance. To obtain acceptable forecasting accuracy, measured time series data were decomposed into wavelet representations and wavelet coefficients were predicted. Effectiveness of these forecasters were tested using a time series recorded between January 1, 2005, and December 31, 2011, at six monitoring stations situated within the urban area of the city of Wuhan, China. Experimental trials showed that the improved models provided low root mean square error values and mean absolute error values in comparison to the original models. In addition, these improved models resulted in higher values of coefficients of determination and AHPC (the accuracy rate of high PM10 IAQI caused by nearby construction activity) compared to the original models when predicting high PM10 IAQI levels attributable to fugitive dust from nearby construction sites.
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Affiliation(s)
- Qi Feng
- Key Laboratory for Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
| | - Shengjun Wu
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
| | - Yun Du
- Key Laboratory for Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
| | - Huaiping Xue
- Key Laboratory for Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
| | - Fei Xiao
- Key Laboratory for Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
| | - Xuan Ban
- Key Laboratory for Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
| | - Xiaodong Li
- Key Laboratory for Environment and Disaster Monitoring and Evaluation, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
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Zhang L, Du Y, Wu S, Yu C, Feng Q, Ban X, Ren X, Xue H. Characteristics of nutrients in natural wetland in winter: a case study. Environ Monit Assess 2012; 184:5487-5495. [PMID: 21922175 DOI: 10.1007/s10661-011-2355-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2011] [Accepted: 08/30/2011] [Indexed: 05/31/2023]
Abstract
The transformation, composition, and distribution characteristics of nutrients in natural wetlands are significantly affected by human activities, such as large-scale water conservancy projects and agricultural activities. It is necessary to reveal the composing and distribution characteristics of nutrients for elucidating its complex removal and retention mechanisms in natural wetlands. In this study, the composition and the spatial distribution characteristics of nitrogen in a natural wetland in central China were illustrated and analyzed. The self-organizing map (SOM) model was used in this study to assess the water quality dataset of the wetland. The relationships between nitrogen and other water quality parameters were revealed by the visualization function of the SOM model with the pre-processed data; the modeling result was in agreement with the linear correlation analysis. The results indicated that the SOM model was suitable for the assessment of field-scale date of natural wetlands, and finally a potential approach for predicting the nutrients concentrations in natural wetlands was also found.
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Affiliation(s)
- Liang Zhang
- Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, People's Republic of China
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Dickerson RR, Li C, Li Z, Marufu LT, Stehr JW, McClure B, Krotkov N, Chen H, Wang P, Xia X, Ban X, Gong F, Yuan J, Yang J. Aircraft observations of dust and pollutants over northeast China: Insight into the meteorological mechanisms of transport. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2007jd008999] [Citation(s) in RCA: 81] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Zhang L, Jin XM, He Y, Chi JM, Ban X, Huang Q. [Detection and analysis of HBV antigen protein in kidney tissue and HBV DNA in serum and kidney tissue of patients with HBsAg+ IgA nephropathy.]. Zhonghua Shi Yan He Lin Chuang Bing Du Xue Za Zhi 2006; 20:247-9. [PMID: 17086284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
BACKGROUND To explore the relationship between hepatitis B virus (HBV) infection and development of IgA nephropathy. METHODS HBsAg and HBcAg protein in renal biopsy specimens of 32 cases was detected on frozen sections and HBV DNA was detected in paraffin section of renal biopsies and in serum of 42 HBsAg positive cases. RESULTS The positive rate of HBAg in renal biopsies of IgA nephropathy was 59.1%, and 63.6% in non-IgA nephropathy, there was no significant difference between them. In 42 cases biopsies of renal tissues, only five were HBV-DNA positive (11.9%). The five cases were HBsAg, HBcAb and HBeAg positive, the pathological diagnosis of two cases were mesangial proliferative glomerulonephritis; one had minimal change of glomerulonephritis; and one had basement membrane change; and only one had IgA nephropathy. At the same time, in 42 HBsAg+ cases the serum specimens were detected; 12 cases were positive for HBsAg, HBcAg and HBeAg, in whom serum HBV-DNA was positive, but only 5 were positive for HBV-DNA in renal biopsy tissue, and HBV-DNA was negative in other 30 blood serum and tissue specimens. CONCLUSION The difference in expression of HBsAg, HBcAb and HBeAg protein between IgA nephropathy and non-IgA nephropathy tissue from renal biopsy was not significant. There is no direct relationship between HBV infection and IgA nephropathy.
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Affiliation(s)
- L Zhang
- Department of Pathology, Harbin Medical University, Harbin, Heilongjiang Province, 150086, China
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