Retrieval of total suspended matters using field spectral data in Shitoukoumen Reservoir, Jilin Province, Northeast China

From August to October in 2006, three times of field spectral measurements with a Field Spec FR spectroradiometer (Analytical Spectral Devices, Inc., USA) were carried out in Shitoukoumen Reservoir, Jilin Province, Northeast China. Owing to the serious soil and water loss in the upstream, reflectance curves of the reservoir were characterized by high concentrations of total suspended matter (TSM). Extending the spectral analysis to 1200nm in the near-infrared band, this research revealed an obvious reflectance peak around 1070nm which was caused by the strong backscattering of high TSM. The method of partial least squares (PLS) regression was applied to retrieving the TSM. Reflectance in two spectral bands, i.e., 675-948nm and 1029-1105nm, were used as variables to develop PLS models. Traditional linear regression, first derivative model and logarithmic model were also used for the comparison of different models. Results showed that the PLS model based on Rrs(675)-Rrs(948) gave out best results with high precision and stability. Although the PLS model based on Rrs(1029)-Rrs(1105) did not have an outstanding performance due to lots of noise, the reflectance peak in the near-infrared band was an important TSM feature and its efficient exploitation would have a eunsiderable significance in TSM remote sensing.     

Application of multivariate model based on three simulated sensors for water quality variables estimation in Shitoukoumen Reservoir,Jilin Province,China

This study applied a multivariate model based on three simulated sensors to estimating water quality variables in Shitoukoumen Reservoir, Changchun City, Jilin Province, China, including concentration of total suspended matter, concentration of chlorophyll-a and non-pigment matter absorption. Two field campaigns for spectra measurements with a total of 40 samples were carried out on June 13 and September 23, 2008. The in-situ spectra were recalculated to the spectral bands and sensitivities of the instruments applied in this paper, i.e. Landsat TM, Alos and P6, by using the average method. And the recalculated spectra were used for estimating water quality variables by the single model and multivariate model. The results show that the multivariate model is superior to the single model as the multivariate model takes the combined effects of water components into consideration and can estimate water quality variables simultaneously. According to R ² and RMSE, Alos is superior to other sensors for water quality variables estimation although the precision of non-pigment matter absorption inversion performed the second.     

Seasonal succession of phytoplankton in response to the variation of environmental factors in the Gaolan River, Three Gorges Reservoir, China

To understand the responses of a freshwater ecosystem to the impoundment of the Three Gorges Reservoir (TGR), phytoplankton was monitored in the tributaries of the TGR area. From August 2010 to July 2011, algal species composition, abundance, chlorophyll a and other environmental parameters were investigated in the Gaolan River, which is a tributary of Xiangxi River. Thirty-one algal genera from seven phyla were identified. Results show that the lowest concentrations of total phosphorus (TP) and total nitrogen (TN) were 0.06 mg/L and 1.08 mg/L, respectively. The values of TP and TN exceeded the threshold concentration of the eutrophic state suggested for freshwater bodies. In the Gaolan River, the succession of phytoplankton showed clear seasonal characteristics. Different dominant species were observed among seasons under the control of environment factors. In spring and summer, the dominant species were Nitzschia sp. and Aphanizomenon flos-aquae (L.) Ralfs, the limiting nutrient was NO ₃ ^? -N, and the key environmental factor for phytoplankton population succession was water temperature (WT). In autumn and winter, the dominant species were A. flos-aquae and Chlorella sp., the limiting nutrient was PO ₄ ^3? -P, and the key environmental factors were transparency and WT. This study illustrates the influence of physical and chemical factors on phytoplankton seasonal succession in a tributary of TGR since the downstream regions of Xiangxi River and Gaolan River became reservoirs after impoundment of the Three Gorges Dam. We suggest that this activity has significantly affected water quality in the dam area.     

SPATIAL ANALYSIS OF SOIL EROSION AND NON-POINT SOURCE POLLUTION BASED ON GIS IN ERLONG LAKE WATERSHED, JILIN PROVINCE

Data collection, factor composition, nappe analysis and integrative simulation of natural geographical factors in Erlong Lake watershed have been carried out based on GIS. The risk areas where non-point source pollution may occur were compartmentalized and assessed, and the total soil erosion and the runoffs of N and P with rainfall in this valley were worked out by experiment and GIS mapping. The study indicated that the main type of soil erosion was moderate (erosion modulus is 1000–2500t/(km²·a)) at present, and the intense erosion areas are located in dry land with variable slope east of the lake and the middle-south parts of steep slope mountainous region (erosion modulus is more than 5000t/(km²·a)). Though the area is small, it should be paid attention to. The trend of non-point source pollution (NSP) of nitrogen and phosphorus loss was corresponded with the soil erosion. Spatial distribution and the reasons of the distribution difference have been presented and it was emphasized that the human activities among the influence factors was the most important. It surely offers a scientific basis to control and prevent non-point source pollution in the watershed. Foundation item: Under the auspices of the National Natural Science Foundation of China (No.50139020-5-2) and Science & Technology Committee of Jilin Province (No. 20010602) Biography: WANG Ning (1952–), female, a native of Beijing, associate professor, Ph.D., specialized in water and soil conservation and pollution control. E-mail: nwang@nenu.edu.cn     

Assessment of point and nonpoint sources pollution in Songhua River Basin,Northeast China by using revised water quality model

Individual participation of pollutants in the pollution load should be estimated even if roughly for the appropriate environmental management of a river basin. It is difficult to identify the sources and to quantify the load, especially in modeling nonpoint source. In this study a revised model was established by integrating point and nonpoint sources into one-dimensional Streeter-Phelps (S-P) model on the basis of real-time hydrologic data and surface water quality monitoring data in the Jilin Reach of the Songhua River Basin. Chemical oxygen demand (COD) and ammonia nitrogen (NH_3-N) loads were estimated. Results showed that COD loads of point source and nonpoint source were 134 958 t/yr and 86 209 t/yr, accounting for 61.02% and 38.98% of total loads, respectively. NH_3-N loads of point source and nonpoint source were 16 739 t/yr and 14 272 t/yr, accounting for 53.98% and 46.02%, respectively. Point source pollution was stronger than nonpoint source pollution in the study area at present. The water quality of upstream was better than that of downstream of the rivers and cities. It is indispensable to treat industrial wastewater and municipal sewage out of point sources, to adopt the best management practices to control diffuse pollutants from agricultural land and urban surface runoff in improving water quality of the Songhua River Basin. The revised S-P model can be successfully used to identify pollution source and quantify point source and nonpoint source loads by calibrating and validating.     

Relationship between economic growth and water environmental quality of Anshan city in Northeast China

Based on the decomposition model of environmental quality and univariate regression model, the relationships of industrial wastewater drainage with economic scale, economic structure, and technological level in Anshan, a mining city in Northeast China, were studied. The results showed that, due to scale effect, the drainage of three important industrial wastewater pollutants (COD, NH3-N and petroleum) increased 8505t, 671t and 384t, respectively, and due to structure effect, those pollutants drainage increased 3996t, 174t and 120t from 2001 to 2006. While due to technological effect, the drainage of COD, NH3-N and petroleum reduced 4452t, 458t and 331t, and due to cross effect, those pollutants drainage reduced 7270t, 575t and 476t simultaneously. Meantime, the relationships between household consumption structure and domestic sewage discharge were analyzed, and domestic sewage discharges in different income levels were also compared. The results showed that, the domestic sewage discharges would increase 376t with 1000 yuan (RMB) increased in the traffic and communication consumption, and they would be 344t, 219t, 428t, 1873t, respectively, in housing consumption, food consumption, medical consumption, miscellaneous commodity consumption. The proportion of domestic sewage discharge increased for high income residents significantly, but reduced for lower income residents. The industrial wastewater pollutants drainage tends to be reduced by technical progress, while domestic sewage discharge will be a more important factor for urban water environment quality.     

Basic characteristics, spatial disparity and its major influencing factors of service industry in China

Based on the analysis of its basic characteristics, this article investigated the disparities of Chinese service industry among the three regions (the eastern China, the western China and the middle China) and inter-provincial disparities of that in the three regions by Theil coefficient and cluster analysis. Then, major factors influencing its spatial disparity were explored by correlation analysis and regression analysis. The conclusions could be drawn as follows. 1) The development of Chinese service industry experienced three phases since the 1980s: rapid growth period, slow growth period, and recovery period. From the proportion of value-added and employment, its development was obviously on the low level. From the composition of industrial structure, traditional service sectors were dominant, but modern service sectors were lagged. Moreover, its spatial disparity was distinct. 2) The level of Chinese service industry was divided into five basic regional ranks: well-developed, developed, relatively-developed, underdeveloped and undeveloped regions. As a whole, the overall structure of spatial disparity was steady in 1990–2005. But there was notable gradient disparity in the interior structure of service industry among different provinces. Furthermore, the overall disparity expanded rapidly in 1990–2005. The inter-provincial disparity of service industry in the three regions, especially in the eastern China, was bigger than the disparity among the three regions. And 3) the level of economic development, the level of urban development, the scale of market capacity, the level of transportation and telecommunication, and the abundance of human resources were major factors influencing the development of Chinese service industry.     

Distribution of methyl mercury in <Emphasis Type="Italic">Rana chensinensis</Emphasis> and environmental media in gold-mining areas of upper reaches of Songhua River,China

The distribution characteristics of methyl mercury in Rana chensinensis and water, sediment and soil in gold-mining areas of the upper reaches of the Songhua River, China were studied by field sampling and laboratory testing. The results show that the methyl mercury contents in water, sediment and soil in gold-mining areas are much higher than those in the control site, indicating that gold-mining activities intensify the methyl mercury pollution in the study area. Methyl mercury contents are in a descending order of sediment > soil > water in the environment, and in a descending order of brain > viscera > muscle > skin in Rana chensinensis. There are significant correlation between methyl mercury contents in Rana chensinensis and those in water and sediment. In particular, the methyl mercury content in the skin of Rana chensinensis is positively correlated with those in water and sediment in spring. Therefore, skin is one of main intake pathways for methyl mercury due to its high permeability.