Spatial Assessment of Overland Flow, Pollutant Concentration, and First Flush Using a 2D Non-Point Source Pollution and Hydrological Model for Urban Catchments

Author(s):  
Marcus Nóbrega Gomes ◽  
Marcio H. Giacomoni ◽  
Athanassios T. Papagiannakis ◽  
Eduardo Mario Mendiondo ◽  
Fernando Dornelles
Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 966 ◽  
Author(s):  
Minji Park ◽  
Young Soon Choi ◽  
Hyung Jin Shin ◽  
Inhong Song ◽  
Chun Gyeong Yoon ◽  
...  

Three watersheds in Korea (Dochoncheon, Gongjicheon, Seolseongcheon) with different land cover characteristics were selected for non-point source pollution monitoring. Event mean concentration (EMC) was calculated, and runoff characteristics were compared through first-flushing and statistical analyses. The mean of the water quality parameters was the highest in Seolseongcheon during dry days among the three watersheds. EMCs of biochemical oxygen demand (BOD) and total nitrogen (TN) were higher in Dochoncheon and Gongjicheon during rainy days, respectively. The upper Seolseongchun watershed showed overall greater values of chemical oxygen demand (COD), suspended solids (SS), total organic carbon (TOC), and total phosphorus (TP). First-flush analyses indicated that SS had the strongest and TN had the weakest effects on the first flush. BOD was the highest in Dochoncheon (urban watershed) and increased with increased number of antecedent dry days. Rainfall intensity appeared to affect SS runoff strongly in Gongjicheon and Seolseongcheon. COD showed strong correlation with SS and TOC in all watersheds, and organic matter (COD and TOC) demonstrated high factor loads during dry and rainy days. Thus, organic matter–related factors were classified as the major factors in pollutant loads. TP and TN were separately classified during dry days in Gongjicheon and Seolseongcheon, whereas these were the secondary factors during rainfall when the influence of non-point pollution was substantial. Cluster analyses showed that the monitoring sites in Dochoncheon and Gongjicheon watersheds were closer than Seolseongcheon. As a result of the comparison of non-point source pollution runoff in the three watersheds, it was difficult to explain the non-point source pollution runoff by specific characteristics such as land cover. For science-based management of non-point pollution, it is necessary to obtain additional survey data considering the climatic, geographical and major industries.


2014 ◽  
Vol 1073-1076 ◽  
pp. 1017-1022
Author(s):  
Xiao Kang Wu ◽  
Chun Ming Ye ◽  
Yong Lin Li ◽  
Jia Wu

Initial rainwater pollution is an important non-point source pollution of urban drainage systems. The application of storage tanks and other reduction facilities has play a key role in reducing first flush pollution. Because of the lack of scientific evaluation system, the evaluation is disorderly and there are many operational problems. This case is based on the reduction facilities research of Suzhou Creek in Shanghai, through which a standard evaluation system and implementation procedure are built to perfect the incomprehensive and unscientific system, so that the efficiency can be improved.


2012 ◽  
Vol 212-213 ◽  
pp. 264-267
Author(s):  
Feng Hua Gao ◽  
Zhong Bo Yu ◽  
Xing Chen ◽  
Hong Wei Liu

Hydrologic cycle was the supporter of pollution matter transportation, and the transferring of agricultural non-point source pollution from land to water has great relationship with hydrologic process. As part study of agricultural non-point source pollution matter transferring mechanics in small watershed, we studied the soil water movement, overland flow producing and confluence mechanism at the hillslope and watershed scales during storm events in humid area. This study monitored the overland flow, soil moisture, groundwater and the stream flow at outlet of the watershed during two storm events (July 19th 2008 and July 30th 2009), analyzed the rain-runoff producing patterns under different conditions and their impact factors. In humid area, soil water movement had three patterns, rainfall infiltration, lateral subsurface flow and groundwater rising, their ranges of influence depths were decided by the rainfall amount, duration and intensity, antecedent conditions and the soil physical characteristics. The overland runoff was infiltration excess runoff at the leading portion of the event, and changed gradually into the mixed patterns of infiltration excess runoff and saturation excess runoff. There was a large amount of regression water on the falling limb of the stream flow. The sources of the stream flow at the outlet of watershed contributed much to the non-point source pollution transportation pathways.


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.


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