Application of telemetry to find out the mechanis and the sites
「Application of telemetry to find out the mechanis and the sites 」於資料集「EPQSummary_ChemicalSubstanceManagement」由單位「行政院環境保護署」的陳先生所提供，聯繫電話是02-2311-7722#2386，最近更新時間為：2023-07-30 01:01:48。 欄位Project Title的內容是Application of telemetry to find out the mechanis and the sites of the river aeolian dust occurrence ， 欄位Project Subject的內容是The purposes of this project are to integrate the air quality data derived from the monitoring stations nearby the bank of the Zhuoshui river, analyze the relationship between aeolian dust occurrence and the meteorologic condition, investigate the historical environment data of the river section which is vulnerable to aeolian dust occurrence, establish historical information of potential aeolian dust occurrence, analyze land cover change of the areas which are vulnerable to aeolian dust occurrence, understand the change of the aeolian dust occurrence site, recognize the sites of the potential aeolian dust occurrence, and establish the models for estimating the probability of aeolian dust occurrence.
Analyzing the variation trend of the historical PM10 data derived from the Lunbei air quality station shows that from 1994 the daily maximum PM10 can reach above the value of 155μg/m3, and the daily mean PM10 greater than 125μg/m3 can occur more than 10 days except the years of 2000~2002. This means that Lunbei has been experienced the harm of PM10 for a long time. Fifty days of riverbed aeolian dust occurrence event distributing from September to March were selected after screening the data of the station during 2005-2009. The meteorologic factors (wind velocity, temperature, and relative humidity) were used to understand the relationship of aeolian dust emission. The results indicate that the lag phenomenon exists in the arriving time of the peak value, the delay time of daily mean PM10 is about 2 hours compared with wind velocity and 3 hours delay to the temperature and relative humidity measured. The delay time can be used for establishing the warning systems of the aeolian dust forecast model. The models compiled are listed as follows, and show that wind velocity and temperature play an important role on aeolian dust emission of the river bed.
The river section, from bridge Ziqiang to bridge Xibin, was taken as a sample area. Air photos and satellite images are employed to interpret the landuse, the annual channel change and tillage are the main factors which affecting the variations of river bed on land utilization. The areas which belong to low water level could be the potential areas of aeolian dust occurrence after water recession. The sedimentation sites of convex bank are susceptible to flooding (return period of 1.1 years) and drought (return period of 1.5 years) and are the hardly possible in revegetation. The high water level areas with the properties of having coarser soil particles and practices of windbreak show contribution to less aeolian dust. The protection forest which distributed in the southern bank with good coverage condition depicts limit effects on the protection targets due to the short protected length.
Satellite images within 15 days of the aeolian dust event were collected to analyze the land cover corresponding to each event using image processing technology. The land cover of the sample area can be primarily classified as vegetation, water, bare land, and riparian strip to explore the relationship of bare land change and aeolian dust emission. The initial phase of increasing area of bare land can result in the raise of the amount of aeolian dust emission. However, wind erosion areas of bare land have the ability of healing itself; the surface residues of coarse particles will increase and play the function of mulching to slow down the erosion rate when the fine particles are removed gradually. There is a parabolic correlation between changes of area of bare land and daily mean PM10. Normalized difference water index (NDWI) derived from satellite image can display the spatial distribution of moisture content in the surface of soil layers. In addition, NDWI can also be employed to delineate the spatial distribution of particle size and/or elevation due to higher river beds usually with the propertie... ， 欄位Project Year的內容是2010 ， 欄位Organizer的內容是Department of Air Quality Protection ＆amp; Noise Control ， 欄位Executive Unit的內容是國立中興大學 ， 欄位Reporting download URL的內容是https://epq.epa.gov.tw ， 欄位Publish Date的內容是20111201 。
Project Title
Application of telemetry to find out the mechanis and the sites of the river aeolian dust occurrence
Project Subject
The purposes of this project are to integrate the air quality data derived from the monitoring stations nearby the bank of the Zhuoshui river, analyze the relationship between aeolian dust occurrence and the meteorologic condition, investigate the historical environment data of the river section which is vulnerable to aeolian dust occurrence, establish historical information of potential aeolian dust occurrence, analyze land cover change of the areas which are vulnerable to aeolian dust occurrence, understand the change of the aeolian dust occurrence site, recognize the sites of the potential aeolian dust occurrence, and establish the models for estimating the probability of aeolian dust occurrence. Analyzing the variation trend of the historical PM10 data derived from the Lunbei air quality station shows that from 1994 the daily maximum PM10 can reach above the value of 155μg/m3, and the daily mean PM10 greater than 125μg/m3 can occur more than 10 days except the years of 2000~2002. This means that Lunbei has been experienced the harm of PM10 for a long time. Fifty days of riverbed aeolian dust occurrence event distributing from September to March were selected after screening the data of the station during 2005-2009. The meteorologic factors (wind velocity, temperature, and relative humidity) were used to understand the relationship of aeolian dust emission. The results indicate that the lag phenomenon exists in the arriving time of the peak value, the delay time of daily mean PM10 is about 2 hours compared with wind velocity and 3 hours delay to the temperature and relative humidity measured. The delay time can be used for establishing the warning systems of the aeolian dust forecast model. The models compiled are listed as follows, and show that wind velocity and temperature play an important role on aeolian dust emission of the river bed. The river section, from bridge Ziqiang to bridge Xibin, was taken as a sample area. Air photos and satellite images are employed to interpret the landuse, the annual channel change and tillage are the main factors which affecting the variations of river bed on land utilization. The areas which belong to low water level could be the potential areas of aeolian dust occurrence after water recession. The sedimentation sites of convex bank are susceptible to flooding (return period of 1.1 years) and drought (return period of 1.5 years) and are the hardly possible in revegetation. The high water level areas with the properties of having coarser soil particles and practices of windbreak show contribution to less aeolian dust. The protection forest which distributed in the southern bank with good coverage condition depicts limit effects on the protection targets due to the short protected length. Satellite images within 15 days of the aeolian dust event were collected to analyze the land cover corresponding to each event using image processing technology. The land cover of the sample area can be primarily classified as vegetation, water, bare land, and riparian strip to explore the relationship of bare land change and aeolian dust emission. The initial phase of increasing area of bare land can result in the raise of the amount of aeolian dust emission. However, wind erosion areas of bare land have the ability of healing itself; the surface residues of coarse particles will increase and play the function of mulching to slow down the erosion rate when the fine particles are removed gradually. There is a parabolic correlation between changes of area of bare land and daily mean PM10. Normalized difference water index (NDWI) derived from satellite image can display the spatial distribution of moisture content in the surface of soil layers. In addition, NDWI can also be employed to delineate the spatial distribution of particle size and/or elevation due to higher river beds usually with the propertie...
Project Year
2010
Organizer
Department of Air Quality Protection ＆amp; Noise Control
Executive Unit
國立中興大學
Reporting download URL
Publish Date
20111201
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