Distribution Maps Of Concentrations Research Articles

Characterization of silkworm larvae growth and properties of silk fibres after direct feeding of copper or silver nanoparticles

In this study, we raised silkworm larvae from the fifth instar with a modified diet of copper or silver nanoparticles (NPs) combined with mulberry leaves. Silkworm larvae growth was characterized according to larvae weight, survival rate, cocooning and silk glands microstructures. Cu or Ag element distributions in their tissues were examined with inductively couple plasma mass spectroscopy. The properties of silkworm silks were investigated with Fourier transform infrared (FTIR) and amino acid analyses, thermogravimetric and quasi-static tensile tests. Our results depicted a primary concentration distribution map of Cu or Ag element in silkworm larva tissues by the modified diet, and Cu or Ag NPs had slightly negative influences on the growth of the silkworm larvae. Results from FTIR spectra and amino acid analyses showed that the Cu or Ag NPs slightly inhibited the β-sheet conformation transition and promoted the crystallization of silk protein. Furthermore, copper or silver NPs obviously enhanced the thermal stability and mechanical properties of silkworm silk with a coupling competitive mechanism. This study expands our ability to obtain distinctive reinforced silkworm silks in a green and effective way and to gain an elementary comprehension of nano-bio interactions between a model organism, Bombyx mori silkworm, and metallic nanoparticles.

Development of n-type Te-doped GaSb substrates with low carrier concentration for FPA applications

Undoped GaSb is p-type with the residual acceptor concentration of about 1e17cm−3 due to the gallium vacancies and gallium in antimony site. Counter-doping of GaSb with low level of Te can reduce the net carrier concentration resulting in higher optical transparency in a broad IR spectral range. In this work, the carrier concentration, mobility and sheet resistance of n-type and p-type Te-doped GaSb substrates were measured using Hall method at 300K and 77K. The Hall carrier concentration data at 300K were correlated with the absorption coefficients of GaSb in the IR spectral range. An empirical relationship between these values was established. Based on this correlation, we discuss application of FTIR spectroscopy for non-destructive optical screening of the substrates that allows construction of the carrier concentration distribution map across GaSb wafers. Investigations of the electronic properties of the low-doped p-type and n-type GaSb substrates upon cooling down to 77K indicate the reduction of the hole carrier concentration background for both GaSb types. This is evident from the decrease in the Hall-measured carrier concentration for p-type GaSb. For n-type GaSb, an increase in the carrier concentration is observed due to the reduction of the hole carrier concentration background.

A New Method of Environmental Assessment and Monitoring of Cu, Zn, As, and Pb Pollution in Surface Soil Using Terricolous Fruticose Lichens

Levels of trace element pollution in surface soil can be estimated using soil analyses and leaching tests. These methods may reveal different results due to the effect of soil properties, such as grain size and mineral composition, on elemental availability. Therefore, this study advocates an alternative method for monitoring and assessment of trace element pollution in surface soil using terricolous fruticose lichens. Lichens growing at abandoned mine sites and unpolluted areas in southwest Japan and their substrata were analyzed using inductively coupled plasma-mass spectrometry and X-ray fluorescence spectrometry to clarify the relationships between Cu, Zn, As, and Pb concentrations in lichens and soils, including their absorption properties. Concentrations of these elements in the lichens were positively correlated with those in the soils regardless of lichen species, location, habitat, or conditions of soils. The analyzed lichens had neither competitive nor antagonistic properties in their elemental absorption, which made them good biomonitors of trace element pollution in surface soil. The distribution maps of average Cu, Zn, As, and Pb concentrations at each sampling region detected almost all of the Cu, Zn, and As pollution of the soils. Therefore, lichens could be used in practical applications to monitor Cu, Zn, and As pollution in surface soils.

Heavy metal contamination of urban topsoil in a petrochemical industrial city in Xinjiang, China

Heavy metal pollution is a widespread phenomenon in many countries of the world. In this study, we conducted a field investigation to assess the status of heavy metal pollution in urban soils of Dushanzi, a district of Karamay city in Xinjiang, China. A total of 56 soil samples in the topsoil layer of 0–15 cm were collected within the urban area and seven elements (Cu, Zn, Cd, Pb, Cr, As and Ni) were analyzed. The mean concentrations of these metals were all higher than their corresponding background values of soils in Xinjiang. We used the pollution index and ecological risk index to assess the degree of heavy metal pollution and the potential ecological risk of urban soils. The pollution index values of Cu, Zn, Cd, Pb, Cr, As and Ni were 1.81, 1.35, 4.64, 1.27, 1.80, 1.39 and 1.22, respectively; and the potential ecological risk index values for them were 12.03, 1.79, 185.05, 8.39, 4.78, 18.44 and 1.79, respectively. These results indicated that urban soils in Dushanzi were polluted by heavy metals to some extent and demonstrated a high ecological risk, as influenced by industrial activities. Cd was the key element for the metal pollution of urban soils in the study area. Correlation analyses, principal component analysis coupled with the spatial distribution maps of element concentrations further revealed that heavy metal pollution of urban soils can be mainly attributed to petrochemical industry, coal chemical industry, traffic and commercial activities.

Estimating heavy metal concentrations in topsoil from vegetation reflectance spectra of Hyperion images: A case study of Yushu County, Qinghai, China.

In this study, we explored the feasibility of estimating the soil heavy metal concentrations using the hyperspectral satellite image. The concentration of As, Pb, Zn and Cd elements in 48 topsoil samples collected from the field in Yushu County of the Sanjiangyuan regions was measured in the laboratory. We then extracted 176 vegetation spectral reflectance bands of 48 soil samples as well as five vegetation indices from two Hyperion images. Following that, the partial least squares regression (PLSR) method was employed to estimate the soil heavy metal concentrations using the above two independent sets of Hyperion-derived variables, separately constructed the estimation model between the 176 vegetation spectral reflectance bands and the soil heavy metal concentrations (called the vegetation spectral reflectance-based estimation model), and between the five vegetation indices being used as the independent variable and the soil heavy metal concentrations (called synthetic vegetation index-based estimation model). Using RPD (the ratio of standard deviation from the 4 heavy metals measured values of the validation samples to RMSE) as the validation criteria, the RPDs of As and Pb concentrations from the two models were both less than 1.4, which suggested that both models were incapable of roughly estimating As and Pb concentrations; whereas the RPDs of Zn and Cd were 1.53, 1.46 and 1.46, 1.42, respectively, which implied that both models had the ability for rough estimation of Zn and Cd concentrations. Based on those results, the vegetation spectral-based estimation model was selected to obtain the spatial distribution map of Zn concentration in combination with the Hyperion image. The estimated Zn map showed that the zones with high Zn concentrations were distributed near the provincial road 308, national road 214 and towns, which could be influenced by human activities. Our study proved that the spectral reflectance of Hyperion image was useful in estimating the soil concentrations of Zn and Cd.

Pemetaan Kualitas Udara Kota Surakarta

Emerging concentration of COx gas as an emision gases that was caused by vehicle will create that air quality degradation in urban area. Air quality mapping was needed as a based map to solved on air quality problem in urban area. The aim of this research are mapping of air quality in Surakarta Municipality and to select the cartographic symbols which optimum to represent of air quality data especially Cox for more readable and analysis. Data collecting based on field survey in some observation point that derived purposively on several roads and dense traffict. Field data plotting on the map are used in some symbols such as pie-graph, bar-graph, and text. The mentioned symbols are usual in cartography to represent of point symbol. The result of this research is distribution map of COx concentration in Surakarta Municipality. The road which has high COx concentration are cross jucntion in downtown (west side of Pasar Klewer), cross junction of Yos Sudarso street, Slamet Riyadi Street, and cross junction of Hay Lay (Wates). The used of pie-graph and bar-graph symbols produce more interesting map visually, but unfortunately the symbols cover up the information in their based map. The used of text symbol is more easy to handle for lay out, so the background object in based map is uncovere, but visually the map is not interesting.

NIR hyperspectral imaging to evaluate degradation in captopril commercial tablets

Pharmaceutical quality control is important for improving the effectiveness, purity and safety of drugs, as well as for the prevention or control of drug degradation. In the present work, near infrared hyperspectral images (HSI-NIR) of tablets with different expiration dates were employed to evaluate the degradation of captopril into captopril disulfide in different layers, on the top and on the bottom surfaces of the tablets. Multivariate curve resolution (MCR) models were used to extract the concentration distribution maps from the hyperspectral images. Afterward, multivariate image techniques were applied to the concentration distribution maps (CDMs), to extract features and build models relating the main characteristics of the images to their corresponding manufacturing dates. Resolution methods followed by extracting features were able to estimate the tablet manufacture date with a prediction error of 120days. The model developed could be useful to evaluate whether a sample shows a degradation pattern consistent with the date of manufacturing or to detect abnormal behaviors in the natural degradation process of the sample. The information provided by the HIS-NIR is important for the development of the process (QbD), looking inside the formulation, revealing the behavior of the active pharmaceutical ingredient (API) during the product’s shelf life.

Arsenic speciation in locally grown rice grains from Hunan Province, China: Spatial distribution and potential health risk

Arsenic contaminations have been evaluated in rice grains from Hunan Province, China. Forty-three locally grown rice samples were collected from 40 counties. Arsenic species including As(III), As(V), MMA and DMA were separated and determined by HPLC-ICP-MS method. The mean concentration of total arsenic in rice samples was 129.4±49.2μg/kg, lower than the Chinese maximum contaminant levels of inorganic arsenic in rice (200μg/kg). The dominant species detected in rice samples was As(III), following DMA, As(V) and MMA. The Pearson's correlation analysis indicated significant positive relationships between As(III) and total arsenic (r=0.939, p<0.01), and DMA and total arsenic (r=0.761, p<0.01). However, the percentage of As(III) decreased with the total arsenic concentration in rice (r=−0.515, p<0.01). Spatial distribution map of total arsenic concentration in rice samples from Hunan Province was obtained using kriging interpolation. High levels of total arsenic in rice grains were observed in south and east regions associated with mining activities and urbanization process. The cancer risk and hazard quotient were employed to estimate the potential human health risk. The results suggested great carcinogenic risk and high potential non-carcinogenic risk to people consuming local rice in Hunan Province.

Intra-urban biomonitoring: Source apportionment using tree barks to identify air pollution sources

It is of great interest to evaluate if there is a relationship between possible sources and trace elements using biomonitoring techniques. In this study, tree bark samples of 171 trees were collected using a biomonitoring technique in the inner city of São Paulo. The trace elements (Al, Ba, Ca, Cl, Cu, Fe, K, Mg, Mn, Na, P, Rb, S, Sr and Zn) were determined by the energy dispersive X-ray fluorescence (EDXRF) spectrometry. The Principal Component Analysis (PCA) was applied to identify the plausible sources associated with tree bark measurements. The greatest source was vehicle-induced non-tailpipe emissions derived mainly from brakes and tires wear-out and road dust resuspension (characterized with Al, Ba, Cu, Fe, Mn and Zn), which was explained by 27.1% of the variance, followed by cement (14.8%), sea salt (11.6%) and biomass burning (10%), and fossil fuel combustion (9.8%). We also verified that the elements related to vehicular emission showed different concentrations at different sites of the same street, which might be helpful for a new street classification according to the emission source. The spatial distribution maps of element concentrations were obtained to evaluate the different levels of pollution in streets and avenues. Results indicated that biomonitoring techniques using tree bark can be applied to evaluate dispersion of air pollution and provide reliable data for the further epidemiological studies.

Spatial distribution and source of potential toxic elements (PTEs) in urban soils of Guangzhou, China

Potential toxic elements (PTEs) in urban soils are of great environmental concern because of their potential long-term effects on human health. A systematic soil geochemical survey was performed across central urban districts of Guangzhou, the largest city in southern China. Surface soil samples (0–10 cm) were collected from 426 sites in order to evaluate the environmental quality of this urban area. Geostatistical and multivariate analysis (principal component, clustering, and correlation) were applied to generate spatial distribution maps of PTEs concentrations as well as identify possible sources of metals. The results showed that PTEs ranged widely in value; Arsenic, Hg, Pb, Cu Zn, Cd, Ni, and Mn ranged from 1.4 to 144, 0.01 to 12.2, 18.5 to 4903, 5.0 to 417, 10.1 to 1795, 0.03 to 2.41, 2.5 to 77.6, and 21.2 to 1286 mg/kg, respectively. Iron ranged from 6.1 to 61.8 g/kg. Soils were enriched with Cd, Cu, Hg, Mn, Pb and Zn as compared with soil background values of Guangzhou. Spatial distribution maps indicated similar distribution patterns of Cd, Cu, Pb and Zn. Urbanization history and industrial activities affected the accumulation of PTEs. Relatively higher concentrations of As, Cd, Cu, Hg, Pb and Zn were found in districts with a longer history of urbanization and industrial activities, such as the Liwan district along the Pearl River in western Guangzhou. This area was the most highly contaminated, whereas the Tianhe, a district with a limited time of development, was the least contaminated. Multivariate statistical analysis showed distinctly different associations among the studied metals; suggesting that Fe, Ni and Mn were predominantly derived from a natural (geological) source; As, Cu, Hg, Pb and Zn from anthropogenic sources; and Cd from both sources. Present PTEs levels were also compared with those reported from other urban areas around world, and results indicate that further studies on assessing both the human and ecosystem risks associated with urban contaminated soils will be necessary.

Heavy metal accumulation and the practical application of lichens as bioindicators for heavy metal pollution in surface soil

Levels of trace element pollution in surface soil have been estimated using soil analyses and leaching tests. These methods may reveal different results due to the effect of soil properties on the elemental availability. Therefore, this study advocates an alternative method for monitoring and assessment of trace element pollution in surface soil using terricolous fruticose lichens. Lichens and their substrata were analyzed using particle induced X-ray emission (PIXE), inductively coupled plasma-mass spectrometry (ICP-MS) and XRF to clarify the relationships between Cu, Zn, As and Pb concentrations in lichens and soils, including their absorption properties. Concentrations of these elements in the lichens were positively correlated with those in the soils regardless of lichen species, location, habitat, or conditions of soils. The analyzed lichens had neither competitive nor antagonistic properties in their elemental absorption, which made them good bioindicators of trace element pollution in surface soil. The distribution maps of average Cu, Zn, As and Pb concentrations at each sampling region was detected at almost all of the Cu, Zn and As pollution of the soils. Therefore, lichens could be used in practical applications to monitor Cu, Zn and As pollution in surface soils.

Empirical Estimation of Total Nitrogen and Total Phosphorus Concentration of Urban Water Bodies in China Using High Resolution IKONOS Multispectral Imagery

Measuring total nitrogen (TN) and total phosphorus (TP) is important in managing heavy polluted urban waters in China. This study uses high spatial resolution IKONOS imagery with four multispectral bands, which roughly correspond to Landsat/TM bands 1–4, to determine TN and TP in small urban rivers and lakes in China. By using Lake Cihu and the lower reaches of Wen-Rui Tang (WRT) River as examples, this paper develops both multiple linear regressions (MLR) and artificial neural network (ANN) models to estimate TN and TP concentrations from high spatial resolution remote sensing imagery and in situ water samples collected concurrently with overpassing satellite. The measured and estimated values of both MLR and ANN models are in good agreement (R2 &gt; 0.85 and RMSE &lt; 2.50). The empirical equations selected by MLR are more straightforward, whereas the estimated accuracy using ANN model is better (R2 &gt; 0.86 and RMSE &lt; 0.89). Results validate the potential of using high resolution IKONOS multispectral imagery to study the chemical states of small-sized urban water bodies. The spatial distribution maps of TN and TP concentrations generated by the ANN model can inform the decision makers of variations in water quality in Lake Cihu and lower reaches of WRT River. The approaches and equations developed in this study could be applied to other urban water bodies for water quality monitoring.

Characterization of the regional groundwater quality evolution in the North Plain of Jiangsu Province, China

Groundwater plays an important role as domestic water in the North Plain of Jiangsu Province, China with a total area of 6.37 × 104 km2. The characterization and evolution of regional groundwater quality were surveyed and discussed based on the field data, including 597 data collected in the 1980s and 1346 samples analyzed in the 2000s. The evolution of groundwater quality for phreatic, shallow and deep confined aquifers for more than two decades was discussed by comparing the distribution maps of TDS concentration and groundwater hydrochemical facies in different periods. Piper diagrams of water chemical composition showed that there were significant changes for the groundwater quality during the past 20 years, which is mainly attributed to two opposite effects from human activities. On the one hand, agricultural irrigation using the fresh surface water and exploration of the saline groundwater for domestic and industry usage lead to the desalination of groundwater in large-scale areas. On the other hand, groundwater pollution including human waste and heavy use of fertilizers lead to the deterioration of groundwater quality in local areas (e.g., the increase of TDS concentration is an obvious indicator). It is suggested that the groundwater, especially the shallow phreatic water, could be artificially diluted by groundwater exploration and usage, which may provide an important water source to make up for the serious shortage of living water in this study area. However, groundwater pollution such as from nitrogen needs to be controlled as a critical issue to be faced in the next step.

Using plane tree leaves for biomonitoring of dust borne heavy metals: A case study from Isfahan, Central Iran

Limited studies have been conducted on atmospheric dust pollution due to high cost of instrumental monitoring and difficulties in associated sampling methods. In this study, the possibility of using leaves of plane tree (Platanus orientalis L.) as a bioindicator of atmospheric pollution was evaluated by determining the composition of heavy elements in both the tree leaves and the atmospheric dust. Plane tree leaves were sampled monthly for 7 consecutive months (May to Nov.; T1–T7) from 21 different sites in the city of Isfahan, central Iran. Atmospheric dust samples were also collected from the same sites on glass trays simultaneously, except for T1. Concentrations of Cu, Fe, Mn, Ni, Pb, and Zn were determined in both the washed (WL) and unwashed leaves (UL) as well as in the atmospheric dust samples. Elemental concentrations in the dust samples deposited on the leaves were determined by subtracting metal concentrations in UL from those in WL. Significant amounts of heavy metals were detected in UL taken from all sites at all the sampling times except for T7 before which time a heavy rain had fallen. Statistically significant correlations were found between the heavy metal concentrations in the atmospheric dust and the dust deposited on the leaves (UL–WL) except for Pb in T4 and T5 sampling times. The spatial distribution maps of heavy metal concentrations in atmospheric dust followed almost the same pattern as those in plant leaf dust. The results showed that plane tree leaves have a great potential for use as an indicator of air pollution for all the heavy metals investigated except for Pb. This passive dust sampling and pollution accumulating method appears to be an easy, inexpensive, and accessible approach for the detection of atmospheric heavy metals.

Spatial prediction of radioactive Cs concentration in agricultural soil in eastern Japan

As a result of the accident at the Fukushima Dai-ichi Nuclear Power Station (FDNPS) operated by the Tokyo Electric Power Company, radioactive cesium (Cs) was released into the surrounding environment. To determine the extent of decontamination required in agriculture fields and to consider management options, we surveyed and measured soil Cs concentrations in 3461 agricultural fields, and used these data to construct a distribution map of radioactive Cs concentration in agricultural soil in eastern Japan. Soil Cs concentration was positively correlated with radiation dose (r2 = 0.89, n = 2199). This linear correlation was affected to some extent by soil surface condition, soil group and land use type. Linear regression analysis was conducted by land surface condition, soil type and land use type. We constructed a soil Cs concentration map by regression and by a regression-kriging (RK) method that combines regression equations with ordinary kriging of the regression residuals. Prediction accuracy of the RK was higher than that of the regression; we therefore adopted the RK. Total radioactive Cs concentration in soil was highest in the 20-km evacuation zone surrounding FDNPS, and tended to be higher to the northwest of FDNPS than in other directions. About 5900 ha of paddy fields and 3000 ha of upland fields in Fukushima Prefecture were above contamination level 2 (> 5000 Bq kg−1), and were mostly distributed in the evacuation zone.

Dynamic monitoring of water petroleum substance using HJ-1/CCD remote sensing data

The experiment data used in this paper include CDOM(Chromophoric dissolved organic matter) absorption coefficient, water apparent optical properties and petroleum pollution concentration, which were obtained in May 2008, August 2009 and June 2010 respectively at Liaohe Oilfield in Panjin city, Liaoning province of China. A model between CDOM absorption coefficient and petroleum pollution concentration was developed, and then was applied to eight HJ-1CCD remote sense images obtained from 2009 to 2011, to produce multi-period temporal and spatial distribution maps of petroleum concentration in costal waters. Based on these thematic maps, the dynamic monitoring of petroleum pollution concentration distribution was done. The results showed that (1)There was a decreasing trend of petroleum concentration from costal waters to open sea, which manifest itself as an approximately zonal distribution;(2) due to low precipitation in May and June every year, the concentration of petroleum keeps in a relatively high value state; (3) in September, the concentration of petroleum decreases dramatically as pre increases, most of the area below 0.29 mg/L; (4) compared with that in the same period, the concentration of petroleum in April 2010 is apparently higher than in April 2011, and among the images in September from 2009 to 2011,the highest concentration of petroleum appears in 2010, and the lowest in 2009.

Monitoring the polymorphic transformation on the surface of carbamazepine tablets generated by heating using near-infrared chemical imaging and chemometric methodologies

This work presents the monitoring of the polymorphic transformation of carbamazepine (form III to form I) in pharmaceutical formulations as tablets, generated by heating at a temperature of 140°C for 7h, with data acquisition in each hour. Near infrared chemical imaging in conjunction with chemometric procedures was used to evaluate the change on the distribution of each polymorph in the tablet surface. The concentration distribution maps of polymorphic forms I and III of carbamazepine in the tablet were estimated by matrix-augmented multivariate curve resolution (MCR) and parallel factor analysis (PARAFAC). The concentration profile as a function of time under heating allowed a dynamic study of the system. The results show that MCR was able to provide information about the polymorphic transformation of carbamazepine tablets in the dynamic process, generating distribution maps for each acquisition time. PARAFAC provided global information about the system, but it was not able to completely resolve the spectral components.

Characterization of sildenafil citrate tablets of different sources by near infrared chemical imaging and chemometric tools

The chemical imaging technique by near infrared spectroscopy was applied for characterization of formulations in tablets of sildenafil citrate of six different sources. Five formulations were provided by Brazilian Federal Police and correspond to several trademarks of prohibited marketing and one was an authentic sample of Viagra. In a first step of the study, multivariate curve resolution was properly chosen for the estimation of the distribution map of concentration of the active ingredient in tablets of different sources, where the chemical composition of all excipients constituents was not truly known. In such cases, it is very difficult to establish an appropriate calibration technique, so that only the information of sildenafil is considered independently of the excipients. This determination was possible only by reaching the second-order advantage, where the analyte quantification can be performed in the presence of unknown interferences. In a second step, the normalized histograms of images from active ingredient were grouped according to their similarities by hierarchical cluster analysis. Finally it was possible to recognize the patterns of distribution maps of concentration of sildenafil citrate, distinguishing the true formulation of Viagra. This concept can be used to improve the knowledge of industrial products and processes, as well as, for characterization of counterfeit drugs.

Lithogenic radionuclides in surface soils of Serbia: Spatial distribution and relation to geological formations

The survey results of concentrations of lithogenic radionuclides in surface soils from 213 locations in Serbia, their mutual concentration ratios and spatial distribution are presented. The mean concentrations of uranium, thorium and potassium in soils of 2.6mgkg−1, 9.3mgkg−1 and 1.8·104mgkg−1, respectively, were found to be similar with equivalent values reported for soils of regions with similar geological composition and geotectonic structures and also with worldwide average values. The spatial distribution of analyzed radionuclides was geostatistically interpolated using ordinary kriging. The spatial distribution maps of uranium, thorium and potassium concentrations showed their variability among different regions as a consequence of different lithological units of the investigated area.

Retrieval and Analysis on the Sediment Concentration of the South Branch of the Yangtze Estuary Based on TM

Suspended sediment concentration is important index of water quality, and assessment coefficient of water environment. Remote sensing technology can overcome the shortcomings of conventional methods, such as low speed, long period, and scarce temporal and spatial data distribution. Thus it is meaningful to introduce remote sensing technology to monitoring suspended sediment. In this paper, two TM/ETM+ images of the Yangtze estuary were utilized, and based on review of available domestic and overseas remote sensing data of suspended sediment, also combined with analysis on the 21 samples of synchronizing collection on April 28, 2009 and 3 samples of synchronizing collection on March 26, 2000 at the same time of satellite passing through respectively, the inversion model of satellite quantitative data was setup correlated to suspended sediment concentration. Then the classification diagram of sediment concentration in the surface water at the South Branch of the Yangtze Estuary was drawn. This study gets the following conclusions:(1) TM4 band reflection coefficient is more related to surface sediment concentration, the correlation coefficient is 0.884. (2)Through the regression analysis, the quantitative remote sensing model is established. By the mode, using satellite picture, sediment concentration distribution map in study area is obtained. (3)The diffusion law of suspended sediment, the range of high turbid water region and the estuarine sediment transportation were further discussed from monitoring data, and its characteristic phenomenon were observed and the cause was also explained.