Pesticide exposure analysis and impact of human health in Nan province, Thailand | |
| Author | Arisa Jirasirichote |
| Call Number | AIT Diss. no.RS-23-03 |
| Subject(s) | Pesticides--Health aspects--Thailand--Nan Pesticides--Application--Thailand--Nan Nonpoint source pollution--Thailand--Nan |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | Pesticides are frequently used in agricultural production, which has negative effects on the environment, inchuding residue in the air, soil, and water, as well as serious public health issues. Therefore, to model the spatial patterns of pesticide exposure for Nan Province, this study used the Annualized Agricultural Non-Point Source Pollutant (AnnAGNPS) model, a geographic information system (GIS) and a remote sensing (RS) approach. After that, a comprehensive spatial exploratory framework was used to examine the relationship between pesticide exposure and the wellness of humans. For calibration, data on sediment yield and river through 2011 until 2013 were used, and data since 2014 until 2017 were applied for validation. On the basis of techniques recommended by other academics and earlier studies, many input parameters were calculated. The runoff curve number,soil erodibility factor (K), and RUSLE-C value were all employed in this work to precisely simulate runoff and sediment loads. Then observed pesticide concentration which derived from research of Kajitvichyanukul et al. (2012) was used to model evaluation. Moreover, Landsat 8 satellite image in 2013, pesticide application rate of Nan Province, and grid-based population data in 2010 were used to estimate the pesticide exposure. In addition, health impact equation was used to estimate the pesticide health damage. Lastly, to look at the relation between exposure to pesticides and health, breast and prostate cancer from 1997-2017, pesticide poisoning in 2014, crop density, and percent of farmers were used. The results indicate that pesticide concentration in Nan river using AnnAGNPS model range from O to 45.13 μg/L for atrazine and 0 to 46.85 μg/L for glyphosate.Their concentrations did not exceed the standard value and was not in a dangerous levcl. Furthermore, RS method and GIS techniquc can be used to assess personal-level agricultural pesticide exposure. The findings indicated that the highest amount of exposure to pesticides were primarily located in southern regions (Na Noi District) of the province where corresponds to regions with dense crop yields and high pesticide usage. For 45% (n=217,090) of the province's people, exposure to atrazine and glyphosate at the level of high risk significantly. Assessment of health impact from pesticide exposure indicated that the maximum atrazine incidence was 25,591/100,000 persons while the maximum glyphosate incidence was 1,735/100,000 persons. Both of maximum atrazine and glyphosate incidence located at Narmtok Sub-district, Na Noi District (southern part of province). Spatial pattern using Moran's I of ASR of breast and prostate cancer were random while atrazine and glyphosate exposure were clustered. Moreover, the age-standardized incidence rate (ASR) of breast and prostate cancer were not statistically significant with atrazine and glyphosate exposure, but, pesticide poisoning rate (per 100,000 people) was significantly associated with ASR of prostate cancer, atrazine exposure, glyphosate exposure, crop density, and percent of farmers. These results clearly demonstrated that application of atrazine and glyphosate in economic crops were associated with risk on environment and human health in the Nan population. Thus, reducing of pesticide application and pesticide exposure should be realize, this should be the top focus of all agricultural and environmental management strategies that are concerned with human health. |
| Year | 2023 |
| Type | Dissertation |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
| Chairperson(s) | Sarawut Ninsawat |
| Examination Committee(s) | Tripathi, Nitin Kumar;Shrestha, Sangam |
| Scholarship Donor(s) | Royal Thai Government;AIT Fellowship |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2023 |