Diffusion simulation and risk assessment model establishment of chlorine gas leakage based on terrain conditions.

This study researches the impact of terrain factors on chlorine gas diffusion processes based on SLAB model. Simulating the law of wind speed changing with altitude by calculating the real-time speed with vertical height combing actual terrain data, and integrating the influence of terrain on wind speed by using Reynolds Average Navier-Stokes (RANS) algorithm, K-turbulence model, and standard wall functions, then plotting the gas diffusion range in the map with terrain data according to the Gaussian-Cruger projection algorithm and dividing the hazardous areas according to the public exposure guidelines (PEG). The accidental chlorine gas releases near Lishan Mountain, Xi'an City, were simulated by the improved SLAB model. The results show that there are obvious differences analyzing contrastively the endpoint distance and area of chlorine gas dispersion under real terrain condition and ideal condition at different times; it can be found that the endpoint distance of the real terrain conditions is 1.34 km shorter than that of the ideal conditions at 300 s with terrain factors, and also the thermal area is 3,768,026m2 less than that of the ideal conditions. In addition, it can predict the specific number of casualties within different levels of harm at 2 min after chlorine gas dispersion, and casualties are constantly changing over time. The fusion of terrain factors can be used to optimize the SLAB model, which is expected to provide an important reference for effective rescue.

[Study on Speciation Analysis and Ecological Risk Assessment of Heavy Metals in Surface Sediments in Gansu, Ningxia and Inner Mongolia Sections of the Yellow River in Wet Season with HR-ICP-MS].

In order to continuously study the contents, pollution condition and potential ecological risk of heavy metals in surface sediments in Gansu, Ningxia and Inner Mongolia sections of the Yellow River in wet seasons in different years, the speciation analysis of 9 kinds of heavy metals including Cd, Pb, Cr, Ni, Cu, V, Co, Zn and Mn, pollution condition and potential ecological risk of heavy metals in surface sediments from 10 sampling sites like Baotoufuqiao (S2), Shizuishantaolezhen (S6) and Wujinxia (S9) in Gansu, Ningxia and Inner Mongolia sections of the Yellow River in 2012 wet season were studied with BCR sequential extraction and high resolution inductively coupled plasma-mass spectrometry (HR-ICP-MS) based on our previous works. The results implied that the order of heavy metals average contents in the 10 sediment samples were the same: Mn>V> Zn>Cr>Cu>Ni>Pb>Co>Cd. In the sediments, heavy metals mainly existed in the form of residual fraction, which indicated that the bioavailability or environmental impact was low. Results of geo-accumulation indices (Igeo) showed that Igeo(CD), was the largest among the heavy metals with the strongest pollution, while IGEO(Mn)was the smallest. Enrichment factor (EF) indicated that only Cd and Cu were enriched at some sampling sites. In S5, because EFcd reached 4. 69, Cd was affected by human activities obviously and the result was consistent with I. Potential ecological risk index (RI) implied that the RI values in S1, S2 and S5 were between 150 and 300, which belonged to moderate polluting degree, while others were less than 150, belonging to light pollution degree. The results of this paper could not only provide reliable experimental data and theoretical basis for the relevant departments, but also supply the technical support for constructing mathematics model of sediments-pollutants transport, systematically researching the migration and transformation rule of persistent toxic substances and environmental assessment in these reaches.