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Clarifying the current situation of regional water pollutants and the relationship between pollutants and pollution sources is considered essential for managing the water environment. Water quality identification index (WQI), cluster analysis (CA), positive matrix factorization (PMF), and stable isotope analysis in R (SIAR) were employed to interpret a large and complex water quality data set of the Qinhuai River catchment generated during 2015 to 2019 to monitor of 11 parameters at 29 different sampling sites. WQI analysis indicated that water quality in Qinhuai River catchment is considered to have "moderate pollution," and an improving trend of water quality was observed at the interannual scale. TN was the most deteriorated of all pollution parameters. CA and PMF results on the spatial scale revealed that sampling sites located at downtown of Nanjing and Lishui District or Jangling University town were highly polluted due to the sewage from domestic sewage and business service sewage (28.88%) as well as industrial wastewater (27.43%), while sampling sites located at Hushu Street Administrative District, Ergan River, and Sangan River were slightly polluted by rural domestic wastewater and garbage (28.79%), and agricultural non-point source pollution (24.3%). The middle-lower reaches (Jiangning Development Zone and Moling Street) and middle reaches (Lukou Street Administrative District) were moderately polluted by industrial wastewater (27.25%), sewage from domestic wastewater and business service wastewater (31.62%) as well as inner sources (24.76%). The SIAR results showed that NO 3 -N was the main nitrogen form, and the NO - -N mainly originated from sewage (61%) and soil (34%) in the Yuntaishan River sub-catchment. These results will aid in the development of measures required to control water pollution in river catchments.3 - -N mainly originated from sewage (61%) and soil (34%) in the Yuntaishan River sub-catchment. These results will aid in the development of measures required to control water pollution in river catchments.

Land reclamation transforms a tidal flat from a marine ecosystem to terrestrial ecosystem, which significantly changes the soil ecosystem process, affecting the soil enzyme activities. Soil enzyme is involved in almost all soil biochemical processes. Clarifying the relationship between soil physicochemical properties and soil enzyme activities can reveal the changes of soil quality after reclamation and provide a theoretical basis for the scientific regulation of the soil ecosystem. In this study, a total of 72 soil samples were collected from a coastal reclamation area with different years of reclamation (0, 7, 32, 40, and 63 a) in Rudong County. The changes in soil physicochemical properties and enzyme activities within different reclamation years were analyzed by classical statistical analysis, and the relationship between soil enzyme activities and physicochemical properties was analyzed using a redundancy analysis. The results showed that longterm land reclamation had significant effects on soil physicochemical properties and enzyme activities. pH and electrical conductivity showed a decreasing trend after reclamation, while the content of soil organic carbon, total nitrogen, and total phosphorus showed a trend of "rapidly accumulate-gradually consume-accumulate again" with increasing years of reclamation. Compared with the bare flat area (0 a), amylase, dehydrogenase, and acid phosphatase activity initially increased and then decreased with increasing years of reclamation, while urease and alkaline phosphatase activities were characterized by an increase-decrease-increase trend. Meanwhile, the enzyme activities within different reclamation ages were basically higher in surface soil than deep layers. Redundancy analysis revealed that the soil physicochemical properties explained 69.8% of the variation in soil enzyme activities, and an obvious relationship existed between pH, electronic conductivity, soil organic carbon, total nitrogen, total phosphorus, and soil enzyme activities ( P <0.01). The order of importance of soil physicochemical properties to soil enzyme activities was as follows:total nitrogen > soil organic carbon > pH > total phosphorus > electronic conductivity.

Soil-crop system is an important way that heavy metals harm the ecological environment and human health. To research and understand the process of heavy metal absorption, migration and accumulation in soil-crop system is important for the prevention and control of heavy metal pollution and the health of human beings. In this paper, we established a model for crop uptake of heavy metals to calculate the heavy metals contents of wheat roots, stems, leaves and grains, and we analyzed the accumulation process of heavy metals in roots, stems, leaves and grains in the growth cycle of wheat. The predicted values were compared with the measured values to test the accuracy of the model. The results demonstrated that different parts of wheat had different heavy metal absorption capacity, the absorption of the roots was the strongest, followed by leaves, and the absorption capacity of stems and grains was weak. In addition, the contents of different heavy metals in each part of wheat were also significantly different. The content of Cu was the highest, followed by Ni, while the contents of Pb and Cd were small. In the process of wheat growth, the heavy metal accumulation rate of stem, leaf and grain began to slow down at 90, 60 and 100 days respectively, and the concentration of heavy metals reached the maximum gradually, while the accumulation rate of heavy metals in roots showed a growing trend. We studied the process of absorption, migration and accumulation of heavy metals in soil-crop system by using numerical simulation technology, which can provide scientific basis for preventing the ecological and health risks of heavy metal pollution.

To study the features and ecological risk of PAHs in surface water from Yangtze River, 19 water samples were collected from the main stream and branch of Yangtze River in August 2015. Solid phase extraction method was used to extract PAHs, and the concentrations of the 16 priority PAHs were determined using GC-MS. The results indicated that the concentration of total PAHs (∑ PAHs ) in the surface water ranged from 17.7-110 ng·L -1 with an average value of 42.6 ng·L -1 . The predominant PAHs in the water were PAHs with 2-3 rings, accounting for 67.7% of ∑ PAHs . The results of molecular diagnostic ratios indicated that the origin of PAHs was mostly combustion sources, including fossil fuel and biomass combustion. PMF model was used to quantitatively acquire the source contribution of PAHs, which indicated that four sources were identified and their contribution rates were respectively biomass and coal combustion (40.1%), petroleum source (19.6%), traffic source (17.5%) and coke oven source (22.8%). The results of ecological risk assessment indicated that PAHs with 2-3 rings had a relatively high risk level, and Wujiang station and lower reach had a relatively high risk level based on risk quotient. Overall, the ecological risk of PAHs in the Yangtze River was at a relatively low level.

This paper studied the spatial-temporal characteristics and rules of land use change in Jiangsu Province using theories and methods of geo-spectrum. Based on the land use data translated from remote sensing images of 1990, 2000 and 2010, we synthesized the geo-spectrum of the mode of arable land use change and that of land use change in two corresponding phases, 1990-2000 and 2000-2010, in Jiangsu using ArcGIS 10.0. The results showed that in the phase of 1990-2000, the major characteristics of land use change were swaps between the geo-spectrum unit of arable land and urban-rural construction land, arable land and water body, and arable land and grassland. Specifically, the patterns of "arable land → urban-rural construction land" and "arable land→ water body" were highly significant. We also found the reduction of arable land area and the concentration of its spatial distribution. In the phase of 2000-2010, the "arable land → urban-rural construction land" pattern was still the most salient characteristic. In addition, the patterns of "grassland → water body" and "urban-rural construction land → water body" became more spatially concentrated and tended to expand. Compared with the previous phase, the area of the land use in the phase of 2000-2010 had been changed expanded and became more scattered. Overall, the geo-spectrum of arable land use change in Jiangsu was mainly shaped by the anaphase change type and partially by the prophase change type, with a tiny influence of the repeated and continuous change.

China is advocating ecological civilization construction nowadays. Further researches on the relation between ecosystem service and humanity well-being are full of theoretical and practical significance. Combining related researches, this paper defined the concept and connotation of ecological well-being based on ecosystem service theory. Referencing theory of national economic accounting and relative researches, the evaluation indicators of ecological well-being supply and consumption were established. The quantitative characterization and evaluation method of red line of regional ecological well-being was proposed on the basis of location quotient. Then the evaluation of ecological well-being in mainland China in 2012 was set as an example for empirical research. The results showed that the net product values of 6 ecosystems, includingcultivated land, forest land, grassland, wetland, water area and unused land, were respectively 1481.925, 8194.806, 4176.277, 4245.760, 3177.084 and 133.762 billion CNY. Spatial heterogeneity of ecosystem net product in different provinces was distinct. Ecological well-being per capita of forest land, grassland, wetland, cultivated land and unused land in eastern and middle provinces were under the red line and less than the national average. The spatial distribution of 9 kinds of ecological well-being per capita split at Hu's line with high value in northwest and low value in southeast, and was aggravated by differences in density of population and land resources gift.

The objective of the present paper is to study the influence of water stress on wheat spectrum red edge parameters by using field wheat spectrum data obtained from water stress experiment. Firstly, the authors analyzed the influence of water stress on wheat spectrum reflectance. Then the authors got the wheat red edge position and red edge peak through calculating wheat spectrum first-order differential and analyzed the influence of water stress on wheat red edge parameters. Finally the authors discussed the relationship between red peak and wheat yield. The results showed that the wheat red edge position shows "red shift" at the beginning of the wheat growth period and "blue shift" at the later period of the wheat growth period under the water stress experiment. Also, the red edge peak of the wheat showed that red edge peak increased with the water stress sharpening at the beginning of the wheat growth period, and then the red edge peak reduced with the water stress sharpening. The wheat red edge peak presented positive correlation with the wheat yield before the elongation period, and exhibited negative correlation after that period.

Based on the statistical data of urbanization and eco-environment of 35 cities in the Huaihe River Basin of China in 2010, an index system of urbanization-eco-environment system was established by using fuzzy matter element theory, and the weight of each indicator was calculated by entropy method. The improved function of the coupling coordination degree of urbanization and eco-environment was constructed to measure this coupling coordination degree in the Huaihe River Basin. In 2010, the development level of urbanization subsystem in the Basin was lower than that of the eco-environment subsystem, and the integrated coordination index of urbanization and eco-environment was 0.186, indicating that there was a gap between the two types of indicators. The average coupling degree of urbanization and eco-environment was 0.475, indicating that the urbanization-eco-environment system was at antagonistic stage. There was a greater difference in the development level of urbanization subsystem, but a smaller difference in the development level of eco-environment subsystem among the cities. The average value of the coordination degree of all the cities was 0.706, indicating that the Huaihe River Basin was at high coordination coupling stage, and the integrated coherence and synergistic effect of urbanization and eco-environment construction in the Huaihe River Basin was higher.

Agricultural non-point source pollution is of importance in river deterioration. Thus identifying and concentrated controlling the key source-areas are the most effective approaches for non-point source pollution control. This study adopts inventory method to analysis four kinds of pollution sources and their emissions intensity of the chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) in 173 counties (cities, districts) in Huaihe River Basin. The four pollution sources include livestock breeding, rural life, farmland cultivation, aquacultures. The paper mainly addresses identification of non-point polluted sensitivity areas, key pollution sources and its spatial distribution characteristics through cluster, sensitivity evaluation and spatial analysis. A geographic information system (GIS) and SPSS were used to carry out this study. The results show that: the COD, TN and TP emissions of agricultural non-point sources were 206.74 x 10(4) t, 66.49 x 10(4) t, 8.74 x 10(4) t separately in Huaihe River Basin in 2009; the emission intensity were 7.69, 2.47, 0.32 t.hm-2; the proportions of COD, TN, TP emissions were 73%, 24%, 3%. The paper achieves that: the major pollution source of COD, TN and TP was livestock breeding and rural life; the sensitivity areas and priority pollution control areas among the river basin of non-point source pollution are some sub-basins of the upper branches in Huaihe River, such as Shahe River, Yinghe River, Beiru River, Jialu River and Qingyi River; livestock breeding is the key pollution source in the priority pollution control areas. Finally, the paper concludes that pollution type of rural life has the highest pollution contribution rate, while comprehensive pollution is one type which is hard to control.

Intertidal flats represent a typical environmentally fragile and sensitive zone. In order to investigate the environmental quality of the intertidal zone in Luoyuan Bay, field survey was carried out in 2009. Contents of heavy metals (Co, Cr, Cu, Ni, Pb, V and Zn) in the surficial sediment were measured using an inductively coupled plasma optical emission spectrometer (ICP-OES). Moreover, the impact on the environment quality was evaluated with the potential ecological risk method. The average contents of the heavy metals Co, Cr, Cu, Ni, Pb, V and Zn in the surficial sediment were 20.48, 77.82, 23.24, 40.67, 36.25, 134.75 and 111.21 mg x kg(-1), respectively. The heavy metal contents in the Spartina alterniflora salt-marsh were apparently higher than those in the bare flat. Further, the heavy metal concentrations found in the present study were generally higher than the background values of the coastal regions of Fujian Province, but lower than those associated with the Pearl River estuary. According to principal component and correlation analyses, industrial wastewater, mineral exploration and degradation of organic matter were the main sources of heavy metals in the area investigated. The results of potential ecological risk evaluation indicated that the intertidal zone as a whole can be ranked as "moderate potential ecological risk". Ni and Co were the major pollutants among the metals in consideration; the pollution related to Pb was less significant. The level of potential ecological risk of the Spartina alterniflora slat-marsh was higher than that of the bare flat. The sequence of potential ecological risk for the heavy metals was Ni > Co > Cu > Pb > Cr > V > Zn.

In order to discuss the association between the water quality of Chaohu Lake and the resources input in agriculture of the basin, factors that may affect the lake eutrophication are chosen, such as surplus fertilizer, irrigated area with saved water, agricultural films, water and soil loss control and so on. The methods of correlation analysis and stepwise regression are used. Furthermore, a new method, combined with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, calculating the surplus fertilizer is designed. The results indicate that among various resources input in agriculture of the basin the surplus fertilizer, irrigated area with saved water and agricultural films have a great influence on Chaohu Lake eutrophication. And one year's lag phase between the water quality of Chaohu Lake and the surplus fertilizer is confirmed. Therefore, it is necessary to raise the utilization efficiency of fertilizer, to improve the irrigation way and to decrease the agricultural water consumption in order to conserve resources and to reduce the influence of agricultural production on the water quality of Chaohu Lake.

Using Theil index and spatial autocorrelation analysis methods, the characteristics, regional disparity and spatial pattern evolution of carbon emission intensity from energy consumption were analyzed on national, regional and provincial level from 1999 to 2007 in China. The results indicate that: (1) total energy carbon emission in China has increased from 0.91Gt in 1999 to 1.83Gt in 2007, while carbon emission intensity has decreased from 0.83 t x (10(4) yuan) (-1) to 0.79 t x (10(4) yuan) (-1); (2) carbon emission intensity of eight major economic blocks showed the trend of three-level differentiation, with that of northeast regions, the middle reaches of Yellow River regions and northwest regions above 1.0 t x (10(4) yuan)(-1); northern coastal regions, the middle reaches of Yangtze River regions and southwest regions 0.7-1.0 t x (10(4) yuan) (-1); eastern and northern regions 0.32-0.51 t x (10(4) yuan) (-1); (3) Theil index analysis indicates that the within-region carbon emission intensities were similar, and the expanding total disparity of carbon emission intensity was primarily due to between-region inequalities. (4) spatial autocorrelation analysis shows that Global Moran's I has increased from 0.19 to 0.25, indicating that there were positive spatial correlations among provincial regions in China, and regions of similar carbon emission intensity agglomerated in space. The "cold spot" areas of carbon emission intensity were relatively stable, while the "hot spot" areas has gradually shifted from northwest regions to the middle reaches of Yellow River regions and northeast regions. (5) spatial disparity of carbon emission intensity is closely related to factors such as regional resources endowment, economic development, industrial structure and energy utilization efficiency. The study of regional disparity and spatial autocorrelation provides insight into spatial heterogeneity and spatial pattern evolution of carbon emission intensity in China, and also provides references for the development of differential regional objectives of carbon emission reduction and related regulation policies.

By using an ensemble Kalman filter (EnKF) to assimilate the observed soil moisture data, the modified boreal ecosystem productivity simulator (BEPS) model was adopted to simulate the dynamics of soil moisture in winter wheat root zones at Xuzhou Agro-meteorological Station, Jiangsu Province of China during the growth seasons in 2000-2004. After the assimilation of observed data, the determination coefficient, root mean square error, and average absolute error of simulated soil moisture were in the ranges of 0.626-0.943, 0.018-0.042, and 0.021-0.041, respectively, with the simulation precision improved significantly, as compared with that before assimilation, indicating the applicability of data assimilation in improving the simulation of soil moisture. The experimental results at single point showed that the errors in the forcing data and observations and the frequency and soil depth of the assimilation of observed data all had obvious effects on the simulated soil moisture.

Based on the relationship between district GDP and sewage disposal, the water environment protection effect in 3 cities, Suzhou, Nanjing and Xuzhou, with different economic development degrees in Jiangsu Province was dynamically analyzed. The economy in Suzhou was well developed, where the foreign capital proportion was in a high level. Its GDP per capita was 53,800 yuan in 2005 and the sewage disposal grew linearly when its GDP increased in the study time period. Nanjing was less developed than Suzhou, and the state-owned enterprises in large and medium sizes were in a high percentage. Its GDP per capita was 37,100 yuan in 2005, while the sewage disposal reduced linearly when its GDP increased in the study time period. The economy in Xuzhou is under-developed, where coal-based heavy industry was the most important one. The GDP per capita in this city was 13,200 yuan in 2005 and the sewage disposal fluctuated when its GDP increased in the study time period. According to the relationship between economic development and sewage disposal in different cities, we suggested that the water environment protection in Suzhou should focus on the control of both water pollutant total emission and emission concentration, the major work in Nanjing should focus on adjusting the industrial structure and meanwhile controlling the total emission of water pollutants, while in Xuzhou the water pollutant emission concentration should be firstly controlled.