论文标题
模拟使用人工神经网络（ANN）模拟溶解的硝基硝基和磷酸磷酸磷磷酸
Simulating the transport of dissolved ammonium-nitrogen and phosphate-phosphorous to streams using artificial neural network (ANN)
论文作者
论文摘要
农业肥料向流媒体的出口会对下游水质以及生态系统造成无数危害。理解和模拟这些化学物质的出口是控制其运输到溪流的第一步。在本文中，使用人工神经网络（ANN）以及每日沉积物和径流数据模拟了铵和磷酸盐的出口，这两种是由农业活动产生的主要污染物。结果表明，ANN可以成功地模拟这些化学物质向溪流的出口趋势。但是，它不能很好地模拟极端事件。这可能是由于铵和磷酸盐的运输的复杂性，其中包含许多不同的过程，这些过程无法在每日沉积物和径流数据中捕获。
The export of agricultural fertilizers to streams results in untold harms to downstream water quality and thus ecosystem. Understanding and simulating the export of these chemicals is the first step to control their transport to streams. In this paper, the export of ammonium and phosphate, two major contaminants resulted from agricultural activities, were simulated using artificial neural network (ANN) and daily sediment and runoff data. Results indicated that ANN could simulate the trend of the export of these chemicals to streams successfully; however, it could not simulate the extreme events well. This might be due to the complexity of the transport of ammonium and phosphate, which contains many different processes that could not be captured in daily sediment and runoff data.
