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Modeling the contribution of point sources and non-point sources to Thachin River water pollution

机译:模拟点源和非点源对塔钦河水污染的贡献

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Major rivers in developing and emerging countries suffer increasingly of severe degradation of water quality. The current study uses a mathematical Material Flow Analysis (MMFA) as a complementary approach to address the degradation of river water quality due to nutrient pollution in the Thachin River Basin in Central Thailand. This paper gives an overview of the origins and flow paths of the various point- and non-point pollution sources in the Thachin River Basin (in terms of nitrogen and phosphorus) and quantifies their relative importance within the system. The key parameters influencing the main nutrient flows are determined and possible mitigation measures discussed.rnThe results show that aquaculture (as a point source) and rice farming (as a non-point source) are the key nutrient sources in the Thachin River Basin. Other point sources such as pig farms, households and industries, which were previously cited as the most relevant pollution sources in terms of organic pollution, play less significant roles in comparison. This order of importance shifts when considering the model results for the provincial level. Crosschecks with secondary data and field studies confirm the plausibility of our simulations. Specific nutrient loads for the pollution sources are derived; these can be used for a first broad quantification of nutrient pollution in comparable river basins. Based on an identification of the sensitive model parameters, possible mitigation scenarios are determined and their potential to reduce the nutrient load evaluated.rnA comparison of simulated nutrient loads with measured nutrient concentrations shows that nutrient retention in the river system may be significant. Sedimentation in the slow flowing surface water network as well as nitrogen emission to the air from the warm oxygen deficient waters are certainly partly responsible, but also wetlands along the river banks could play an important role as nutrient sinks.
机译:发展中国家和新兴国家的主要河流水质日益恶化。当前的研究使用数学物质流分析(MMFA)作为补充方法来解决泰国中部Thachin河盆地因养分污染而导致的河水质量下降。本文概述了塔钦河流域各种点和非点污染源的起源和流动路径(以氮和磷计),并量化了它们在系统中的相对重要性。确定了影响主要养分流量的关键参数,并讨论了可能的缓解措施。结果表明,水产养殖(作为点源)和水稻种植(作为非点源)是塔钦河流域的关键营养源。与之相比,其他点源,例如养猪场,家庭和工业,以前被认为是有机污染中最相关的污染源,但它们所起的作用不那么重要。在考虑省级模型结果时,重要性顺序会发生变化。与辅助数据和现场研究的交叉核对证实了我们模拟的合理性。得出污染源的特定养分含量;这些可用于对可比河流域的养分污染进行首次广泛量化。在确定敏感模型参数的基础上,确定了可能的缓解方案,并评估了其可能减少养分含量的潜力。rn模拟养分含量与测得养分含量的比较表明,河流系统中养分的保留可能很重要。缓慢流动的地表水网络中的沉淀以及温暖的缺氧水向空气中的氮排放当然是部分原因,但沿河岸的湿地也可能起养分的重要作用。

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