Estimation of pollution load from the Okayama and Kagawa basins flowing into the Seto Inland Sea in light of their basin characteristics

Estimation of pollution load from the Okayama and Kagawa basins flowing into the Seto Inland Sea in light of their basin characteristics
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根据流域特征估算流入濑户内海的冈山盆地和香川盆地的污染负荷

DOI:
10.3739/rikusui.71.269
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发表时间:
2010
期刊:
Japanese Journal of Limnology (rikusuigaku Zasshi)
影响因子:
--
通讯作者:
S. Ninomiya
S. Ninomiya
中科院分区:
--
文献类型:
--
作者:
H. Takahashi;S. Yoshikawa;H. Takano;Y. Sasada;S. Ninomiya

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从陆地流入海洋的流入负荷是利用构成主要流入路线的河流的观测水质数据估算的。此外,利用丰富的河流观测数据,估算了包括小河流和沿海地区在内的大范围区域的负荷。在这种情况下,流域特性的差异,如自然环境,负荷源的分布,和水的使用没有得到充分的反映。然后,我们试图通过考虑流域特性的差异来估计负荷。目标地区包括流入濑户内海的冈山和香川两县的盆地。负荷是在2003年,一个平均降雨年估计的。首先,我们通过比较主要河流的具体负荷,估计了冈山和香川地区各流域的负荷。当单独估算冈山县小岛湖流域时,总氮(T-N)、总磷(T-P)和COD负荷分别增加到105%、131%和116%。然而,如果将香川县的小河流分别进行估算,则分别下降到55%、53%和61%。这些差异对各流域的比负荷和径流系数有显著影响。采用负荷系数法结合工业设施排污调查资料,估算了沿海人口密集区和工业区的负荷。其结果是,在冈山流域的负荷增加到164%,189%和121%,分别从估计的主要河流;相反,在香川流域,总氮负荷增加到252%,而T-N和COD负荷下降到98%和72%,分别。负荷对沿岸地区的影响表现出明显不同的结果,这也取决于水通过综合观测和估计的流量数据,估计的流入负荷的准确性得到了提高。
The inflow load from land into the sea was estimated using the observed water-quality data of rivers that make up the major inflow routes. Moreover, the abundant observational data of rivers was used to estimate the load of wide areas including minor rivers and coastal areas. In this case, differences in basin characteristics such as natural environment, distribution of the load-source, and water use were not fully reflected. We then attempted to estimate the load by considering the differences in basin characteristics. The target areas included the basins in the Okayama and Kagawa Prefectures, which flow into the Seto Inland Sea. The load was estimated in 2003, an average rain year. First, we estimated the load of each basin in the Okayama and Kagawa area by comparing the specific loads of major rivers. When the Kojima lake basin in Okayama Prefecture was estimated separately, the total nitrogen ( T-N ) , total phosphorus ( T-P ) , and COD loads increased to 105%, 131%, and 116%, respectively. However, when the minor rivers in Kagawa Prefecture were estimated separately, they declined to 55%, 53%, and 61%, respectively. These differences have a significant influence on the specific loads and runoff coefficients in each basin. The loads of coastal basins with densely populated and industrial areas were estimated using the load-factor method together with discharge survey data of industrial establishments. As a result, loads in the Okayama basin increased to 164%, 189%, and 121%, respectively, from the estimation of major rivers only; in contrast, in the Kagawa basin, the total nitrogen load increased to 252%, while the T-N and COD loads decreased to 98% and 72%, respectively. The influence of the load on coastal areas demonstrated a significantly different result, which also depended on water By integrating both the observed and estimated discharge data, the accuracy of the estimated inflow load was improved.
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