IN–STREAM WETLAND DESIGN FOR NON–POINT SOURCE POLLUTION ABATEMENT

2003 ◽  
Vol 19 (2) ◽  
Author(s):  
K. C. Stone ◽  
P. G. Hunt ◽  
J. M. Novak ◽  
M. H. Johnson
2016 ◽  
Vol 12 (2) ◽  
pp. 309
Author(s):  
O. E. Ekenta

Catchment process simulation models are designed to model the interaction of hydrological, geochemical and ecological processes and the effects of change. TOMCAT, a catchment scale model was applied in modeling the transport of determinands from non-point (diffuse) sources to Mimram river, a tributary of the river Thames. The magnitude and timing of the processes taking place is stochastic with the model representing as accurately as possible the systematic and random variability of various model inputs and their inter-relationships. The results indicate that the BOD, NH4N and Un-ionised NH3 loads which enter the rivers from non-point sources increased by 0.55mg/l, 0.024mg/l and 0.001mg/l respectively. These values are relatively small. The Dissolved Oxygen concentration along the reach increased by 2.5 mg/l indicating substantial re-aeration along the reach. The accretion value for the conservative determinand Chloride was 3.75mg/l. Non-point source pollutants accretion to the Mimram is influenced by agricultural and silvicultural practices in the catchment. The results of the investigation indicate that the model could be adopted by environmental pollution control agencies as a management tool for intervention in the area of pollution abatement for catchments.


2012 ◽  
Vol 599 ◽  
pp. 418-427
Author(s):  
Jia Ke Li ◽  
Jie Yu ◽  
Wen Dong ◽  
Huai En Li

Zaohe River is a main pollution and flood discharge river in Xian city. Its water quality is affected not only by the point source pollution (PSP), but also by the non-point source pollution (NSP) to some extent. Water flow and water quality of Zaohe River are monitored during the flooding and non-flooding periods from April in 2010 to October in 2011. The results indicated that: 1) The concentration of COD, TP, NH3-N, and TN are exceed the Environmental quality standard grand Ⅴ for surface water (GB3838-2002 of China). 2) The concentration of COD is increasing from upstream to downstream. The concentration of TP, NH3-N, and TN increase firstly and then decrease. The change of NO3-N is small and the concentration of Cr is the lowest in the heavy metal pollutants. 3) The variations of pollutant concentration are smaller during the non-flooding periods than the flooding periods at Caotan section. The NSP load is lower than PSP in the flood period, and the NSP load ratio of SS, COD, NH3-N, NO3-N, TN, DP and TP is 14%, 2.0%, 5.1%, 6.0%, 7.4% and 4.2% separately. 4) The PSP plays the important role in the pollution abatement of Zaohe River,but the NSP can not be ignored, too.


2004 ◽  
Vol 2004 (4) ◽  
pp. 105-113
Author(s):  
Jill Neal ◽  
James Goodrich ◽  
Eben Hobbins ◽  
Alan Vicory ◽  
Richard G. Shamblen, ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.


Drones ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Geonung Park ◽  
Kyunghun Park ◽  
Bonggeun Song

Water quality deterioration due to outdoor loading of livestock manure requires efficient management of outside manure piles (OMPs). This study was designed to investigate OMPs using unmanned aerial vehicles (UAVs) for efficient management of non-point source pollution in agricultural areas. A UAV was used to acquire image data, and the distribution and cover installation status of OMPs were identified through ortho-images; the volumes of OMP were calculated using digital surface model (DSM). UAV- and terrestrial laser scanning (TLS)-derived DSMs were compared for identifying the accuracy of calculated volumes. The average volume accuracy was 92.45%. From April to October, excluding July, the monthly average volumes of OMPs in the study site ranged from 64.89 m3 to 149.69 m3. Among the 28 OMPs investigated, 18 were located near streams or agricultural waterways. Establishing priority management areas among the OMP sites distributed in a basin is possible using spatial analysis, and it is expected that the application of UAV technology will contribute to the efficient management of OMPs and other non-point source pollutants.


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