LONG-TERM REMOTE MONITORING THE EFFECTS OF RAINFALL AND AGRICULTURAL NON-POINT SOURCES POLLUTION ON THE SURFACE WATERS QUALITY IN LAKE TAIHU
The transport of pollutants into freshwater resources depends on the relationships between pesticide/fertilizer application, local topography and rainfall. These relationships are investigated at Lake Taihu, China, where the cropland around the basin is devoted to growing rice. Our aim is to study the effects of the rainfall and non-point source contamination on surface water quality, with a specific focus on Nitrate Potassium Permanganate Chemical Oxidant (CODMn) and Nitrates (NH3-N), and using satellite remote sensing to construct a pollution estimation model by using satellite data and surface data from 7 monitoring station surveys in 2008-2015. Comparing measured values and remote sensing predicted values, the average of CODMn relative deviation is -0.775 and the average of NH3-N relative deviation is -0.030, both within a reasonable range. Experimental data shows that the lower concentrations of NH3-N occurred when rainfalls are high, the CODMn’s temporal and spatial distributions have high variability, and the interaction between seasons and rainfall rate explains variability of NH3-N and CODMn concentrations in surface waters.
Tong, Shan-Lin; Cui, Chen-Feng; Bai, Yan-Ling; Sun, Yu; and Zheng, Xiao-Hui
"LONG-TERM REMOTE MONITORING THE EFFECTS OF RAINFALL AND AGRICULTURAL NON-POINT SOURCES POLLUTION ON THE SURFACE WATERS QUALITY IN LAKE TAIHU,"
Journal of Marine Science and Technology: Vol. 26:
2, Article 12.
Available at: https://jmstt.ntou.edu.tw/journal/vol26/iss2/12