Analysis on Variation Characteristics of Precipitation Time Series in Weihe River Basin during the Past 55 Years

2013 ◽  
Vol 684 ◽  
pp. 246-252 ◽  
Author(s):  
Shuai Wang ◽  
Xiao Hui Lei ◽  
Feng Zhang

By using linear regression, moving average, Mann-Kendall test and Morlet wavelet analysis method, the annual, flood seasonal and dry seasonal precipitation series during 1954~2008 in Weihe River basin are analyzed. The results indicate that: ①Annual precipitation and precipitation in flood season and dry season present decreasing trends during the past 55 years, and the variation trends are not significant. ②There is an irregular spatial distribution of mean annual precipitation, which shows a decreasing trend from southeast to northwest. ③Annual precipitation exists principal periods of about 2, 10, 17 and 50 years, and the phase changes of 2 and 50 years period are most obvious. Time scales of phase change of precipitation series in flood season and dry season are roughly consistent with those in annual. The research results will provide reference for climate analysis and future weather forecasting in Weihe River basin.

2013 ◽  
Vol 67 (5) ◽  
pp. 948-958 ◽  
Author(s):  
Xiaofeng Guo ◽  
Lei Wang ◽  
Xudong Wang ◽  
Hanli Liu

The occurrence and distribution of phthalate acid esters (PAEs) in surface water of the Weihe River basin (eight mainstream sampling points and 15 tributary sampling points) in the Shaanxi section were investigated during the dry season, level period (spring), wet season and level period (autumn). The PAEs tested for were diethyl phthalate (DEP), di-n-butyl phthalate (DBP), dicyclohexyl phthalate (DCHP) and di-(2-ethylhexyl) phthalate (DEHP). The testing proceeded by millipore filtration, then solid phase extraction and then gas chromatography-mass spectrometry determination for all examined PAEs. The monitoring results indicated that, in terms of seasonal changes, concentration of the PAEs in the mainstream is: Dry season > Level period (spring) > Wet season ≈ Level period (autumn). An environmental risk assessment was then performed on PAE pollution levels of the Weihe River basin. This paper employed a risk assessment methodology to evaluate the potential adverse health effects of the individual PAE compounds according to their carcinogenicities. For DEP, DBP and DEHP, a low Risk Index (all of them were lower than the specified level of 1.0) reveals that small non-carcinogenic risks exist resulting from the presence of trace concentrations in the surface water of the Weihe River basin.


GCdataPR ◽  
2020 ◽  
Author(s):  
Fengli ZHA ◽  
Chuang LIU ◽  
Ruixiang SHI

GCdataPR ◽  
2020 ◽  
Author(s):  
Yuefei HUANG ◽  
Tiejian LI ◽  
Enze LV ◽  
Jiaye LI ◽  
Rui BAI ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 457
Author(s):  
Qidong Lin ◽  
Jinxi Song ◽  
Carlo Gualtieri ◽  
Dandong Cheng ◽  
Ping Su ◽  
...  

The effect of hyporheic exchange on macroinvertebrates is a significant topic in ecohydraulics. A field study was conducted during May and June 2017 to investigate the impacts of magnitude and patterns of hyporheic exchange on the sediment macroinvertebrate community in the Weihe River basin. The results demonstrate that upwelling flows cause resuspension of riverbed sediment, increasing the proportion of swimmer groups (such as Baetidae) in the macroinvertebrate community. However, large resuspension of river bed sediment results in a reduced abundance of macroinvertebrates. By controlling the transport processes of dissolved oxygen (DO), dissolved organic carbon (DOC), nutrients, temperature, and different patterns of hyporheic exchange strongly influence the structure of macroinvertebrate communities. Downwelling is more likely to produce rich invertebrate communities than upwelling. The magnitude for the hyporheic flux of 150–200 mm/d was optimal for the macroinvertebrate community in the Weihe River Basin. Above or below this rate results in a decline in community abundance and diversity. We suggest that research is conducted to better understand the effects of hyporheic exchange across bedforms on macroinvertebrate communities. The study supports any activities to preserve the ecological functions and health of rivers dominated by fine-grained sediments.


Author(s):  
Xueli Wang ◽  
Chenyang Li ◽  
Xiaoyu Yuan ◽  
Shengke Yang

Tetrabromobisphenol A (TBBPA) is a brominated flame retardant, which is widely present in the various environmental and biological media. The knowledge on the contamination of TBBPA in Weihe River Basin is still limited. In order to know the pollution level and distribution of tetrabromobisphenol A (TBBPA) in the Weihe River Basin, a total of 34 sediment samples and 36 water samples were collected from the main stream and tributaries of the WeiHe River Basin, and the concentration of TBBPA in the samples was analyzed by high-performance liquid chromatography–electrospray ionization–mass spectrometry (HPLC-ESI-MS). The detection frequency of TBBPA in sediments and water samples was 61.8% and 27.8%, respectively; the TBBPA concentrations in sediments and water samples were in the range of not detected (N.D.)–3.889 ng/g (mean value of 0.283 ng/g) and N.D—12.279 ng/L (mean value of 0.937 ng/L), respectively. Compared with other areas in China, the residues of TBBPA in the Weihe River Basin were at a relatively low level. The spatial distributions of TBBPA in surface sediments and water indicated that the local point-input was their major source. This is related to the proximity of some sampling sites to industrial areas and domestic sewage discharge areas. The insignificant correlation between TBBPA and total organic carbon (TOC) indicated that TBBPA in sediments is not only influenced by TOC but also affected by atmosphere and land input, wet deposition, and long-distance transmission. The potential risks posed by TBBPA in water and sediment were characterized using the risk quotient (RQ) method. The calculated RQ for TBBPA was less than 0.01, showing that the ecological risk due to TBBPA was quite low for aquatic organisms.


Author(s):  
Siyu Yang ◽  
Rengui Jiang ◽  
Jiancang Xie ◽  
Dongfei Yan ◽  
Jichao Liang ◽  
...  

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