It takes the average reader 3 hours and 5 minutes to read Application of Geodetector Method and Other Statistical Methods to Study Groundwater Vulnerability to Nitrate Contamination in the Central Valley Aquifer, California by Anil Shrestha
Assuming a reading speed of 250 words per minute. Learn more
The Central Valley (CV) Aquifer, California is one of the most productive regions of the United States, where large amount of nitrogen fertilizer has been applied for the last few decades to increase the crop productivity. The application of excessive fertilizer has increased the level of nitrate (NO3-N) in the groundwater to above EPA's maximum contamination level (MCL) of 10 mg/L in several domestic, public and monitoring wells. The concentration of nitrate in the groundwater can vary spatially depending on the local nitrogen sources, aquifer characteristics and geochemical condition of the area. The changing hydrogeological conditions of the valley due to excessive groundwater pumping could further complicate the fate of nitrate in the aquifer. The statistical, index-overlay and process-based methods are commonly used to study the vulnerability of aquifer to nitrate contamination. The main purpose of this dissertation is to understand the spatial distribution of groundwater nitrate contamination in the CV which was achieved by applying a relatively new method called Geodetector. Geodetector analyzes the spatial distribution of groundwater NO3-N based on the spatial variance of groundwater nitrate in stratified geographic area of important explanatory variables such as fertilizer, cropland, permeability, slope, dissolved oxygen, etc. The assumption is that if an environmental factor contributes to a groundwater contamination, the spatial distribution of the groundwater contamination should be similar to that of the environmental factor and this spatial association is measured by the Power of Determinant (PD), which is derived based on local and global variances. This method identifies significant explanatory variables, vulnerable areas, relative significance of variables and interaction between variables to strengthen or weaken the effect. The watersheds in the Central Valley were used as the basic analysis units and the percent of wells with above 5 mg/L NO3-N (PWN>5) were calculated for each watershed for the period of 2002 to 2014 to represent its contamination level. Each explanatory variable was processed to different spatially stratified areas to quantify their spatial correspondence with PWN>5. The results of Geodetector method were compared with those from Principal Component Analysis (PCA) and Geographically Weighted Regression (GWR). Finally, maps of susceptibility to nitrate contamination of the CV were developed based on the groundwater basins using the optimized-DRASTIC index and Geodetector-Frequency Ratio Index (GFR). The quantitatively derived GFR index values resulted in better map as reflected by high PD values and correlation coefficient with observed nitrate contamination pattern. The Geodetector method makes no assumptions about the data and has the ability to process multiple data sets, which can be both categorical and continuous. Therefore, Geodetector is advantageous over PCA and GWR, which often suffer from the multicollinearity of data. The Geodetector method offers water resources managers and policy makers a general framework to assess groundwater contamination vulnerability in any other study areas.
Application of Geodetector Method and Other Statistical Methods to Study Groundwater Vulnerability to Nitrate Contamination in the Central Valley Aquifer, California by Anil Shrestha is 183 pages long, and a total of 46,299 words.
This makes it 62% the length of the average book. It also has 57% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 13 minutes to read Application of Geodetector Method and Other Statistical Methods to Study Groundwater Vulnerability to Nitrate Contamination in the Central Valley Aquifer, California aloud.
Application of Geodetector Method and Other Statistical Methods to Study Groundwater Vulnerability to Nitrate Contamination in the Central Valley Aquifer, California is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Application of Geodetector Method and Other Statistical Methods to Study Groundwater Vulnerability to Nitrate Contamination in the Central Valley Aquifer, California by Anil Shrestha is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Application of Geodetector Method and Other Statistical Methods to Study Groundwater Vulnerability to Nitrate Contamination in the Central Valley Aquifer, California by Anil Shrestha on Amazon click the button below.
Buy Application of Geodetector Method and Other Statistical Methods to Study Groundwater Vulnerability to Nitrate Contamination in the Central Valley Aquifer, California on Amazon