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Development of Best Management Practices for Controlling the Non-PointSources of Pollution Around Lake Victoria Using SWAT Model: A Case ofSimiyu Catchment Tanzania

机译:利用SWAT模型开发控制维多利亚湖周围非面源污染的最佳管理方法:以坦桑尼亚Simiyu流域为例

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Recent studies carried out in Lake Victoria Basin have identified major sources of Non-Point Source (NPS) ofpollution in the Simiyu catchment of Lake Victoria using land-uses of 1975 and 2006 and compared the relative impact ofland-use change on sediment and nutrient load (P and N) into the Lake. The main aim of this study was to identify anddevelop Best Management Practices to control NPS pollution in the Simiyu Catchment. The SWAT model was used tostimulate and assess the Best Management Practices Scenario for the catchment. The catchment was divided into seven(7) sub-basins. The results show that there was no intensive use of artifical fertilisers in the catchment and manure is themajor type of fertiliser in use. Simulation was done for the period 2000 to 2005. High nutrient concentration was observedin Sub-basin 6; 0.558-0.779 kgN/ha/yr than in Sub-basin 7; 0.018-0.115 kgN/ha/yr, despite the larger area of coverage bythe latter. This is also irrespective of the fact that Sub-basin 7 covers a larger area, 3,426.52 km2 compared to Sub-basin 6(72.97 km2) and Sub-basin 4 (618.16 km2). Relatively, considering their size, Sub-basin 6 produces higher pollution thanSub-basin 7. It was also observed that the sediment yield from the whole catchment reduced from 81,222 ton/yr to98,400ton/yr.It was observed that to control the NPS pollution problem, Best Management Practices like reduced manureapplication rate, tillage and contour yielded a decrease of 1.4% in N load and 1.57% in sediment load. As a result, it wasconcluded that the SWAT modelling tool can be used in developing Best Management Practices because pollutant processesper sub-catchment had been fully understood. With good model performance, developing management strategies tocontrol NPS pollution around Lake Victoria can be achieved using the SWAT model. The BMPs have been devised dependingon the sub-basin, which has a big collective reduction and control in NPS pollution in the whole catchment.
机译:维多利亚湖盆地最近进行的研究使用1975年和2006年的土地利用,确定了维多利亚湖西米尤集水区的面源污染的主要来源,并比较了土地利用变化对沉积物和养分含量的相对影响(P和N)进入湖中。这项研究的主要目的是确定和制定最佳管理实践,以控制Simiyu集水区的NPS污染。 SWAT模型用于激励和评估该流域的最佳管理实践方案。流域分为七个(7)子流域。结果表明,流域没有大量使用人工肥料,而肥料是使用的主要肥料。对2000年至2005年进行了模拟。比第7流域0.558-0.779 kgN / ha / yr; 0.018-0.115 kgN / ha / yr,尽管后者覆盖的面积较大。这也与以下事实无关:与6号子盆地(72.97 km2)和4号子盆地(618.16 km2)相比,7号子盆地覆盖的面积更大,为3,426.52 km2。相对于其规模,第6盆地的污染要高于第7盆地。还发现整个流域的沉积物产量从81,222吨/年减少到98,400吨/年。污染问题方面,最佳管理实践(如降低肥料施用率,耕种和轮廓)导致氮负荷降低1.4%,沉积物负荷降低1.57%。结果,结论是可以充分利用SWAT建模工具开发最佳管理实践,因为每个子汇水区的污染物处理过程都已被充分理解。凭借良好的模型性能,可以使用SWAT模型来制定控制维多利亚湖周围NPS污染的管理策略。根据次流域制定了BMPs,该流域在整个流域内对NPS污染具有较大的集体减少和控制。

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