基于SWAT模型的维多利亚湖周边非点源污染模拟——以坦桑尼亚斯米尤流域为例

R. Kimwaga, D. Mashauri, F. Bukirwa, N. Banadda, U. Wali, I. Nhapi, I. Nansubuga
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引用次数: 11

摘要

维多利亚湖的污染物负荷是由广泛的人为活动造成的。本研究以污染的非点源(NPS)为研究对象,对土地利用活动进行了识别和表征,并对沉积物和养分负荷(氮和磷)进行了量化。利用1975年和2006年的土地利用数据,对维多利亚湖斯米峪流域进行了研究,比较了土地利用变化对湖泊沉积物和养分负荷(P和N)的相对影响。还为污染产量最高的子流域确定了可能的最佳管理做法。利用遥感软件ILIWIS 3.0对土地利用进行识别和表征,并利用水土评估工具(SWAT)模型对两种不同土地利用情景下的泥沙和养分负荷进行量化。根据SWAT模型进行的土地利用分类表明,农用地(AGRL)占四米峪流域总面积的比重约为73.43%,林草(RNGB)占24.42%,牧场(PAST)占2.10%,草原(SAVA)占0.03%,水(WATR)占0.02%。农业用地从19.33%扩大到73.43%,年变化率为2.9%。然而,1975年的平均硝酸盐负荷高于2006年。1975年的P负荷低于2006年。模型模拟的集水口N值为77.2 kg/km 2 .yr,而观测值为146 kg/km 2 .yr;模拟P值为47 kg/km 2 .yr,而观测值为164 kg/km 2 .yr。因此,该模型低估了流域的养分产量。因此,由于用于模型校准的数据较少,SWAT建模工具在研究NPS污染方面的适用性导致模型性能较差。为了获得足够的资料进行模型校准和验证,必须沿着杜马和斯米尤两条河开展更严格的数据运动。由于模型表现良好,可以使用SWAT模型制定管理计划来控制维多利亚湖周围的NPS污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of Non-Point Source Pollution Around Lake Victoria Using SWAT Model: A Case of Simiyu Catchment Tanzania
Pollutant loading in Lake Victoria is resulting from a wide range of anthropogenic activities. This study fo- cused on Non-Point Sources (NPS) of pollution and it was carried out to identify and characterize land-use activities and to quantify the sediment and nutrient loads (nitrogen and phosphorus). The study was conducted in Simiyu catchment of Lake Victoria using land-use data of 1975 and 2006 and comparing the relative impact of land-use change on sediment and nutrient load (P and N) into the lake. Possible best management practices were also identified for those sub-basins with the highest pollution yield. Remote sensing using the package ILIWIS 3.0 was used to identify and characterize the land-use and the Soil and Water Assessment Tool (SWAT) model was used to quantify sediment and nutrient load from these two different land-use scenarios. Land use classification according to the SWAT model shows that Agricultural Land-Generic (AGRL) contributes about 73.43%, Range-brush (RNGB) contributes 24.42%, Pasture (PAST), 2.10% Sa- vanna (SAVA) 0.03% and Water (WATR) 0.02% of the total catchment area of Simiyu. It was also found out that there was an expansion of agricultural land from covering 19.33% of the catchment to 73.43% at an annual change rate of 2.9%. However, average Nitrate load was higher for 1975 than 2006. The P load of 1975 was less compared to that in 2006. Model simulation at the catchment outlet for N gave 77.2 kg/km 2 .yr while observed values were 146 kg/km 2 .yr, simulated P was 47 kg/km 2 .yr while observed was 164 kg/km 2 .yr. Hence, the model underestimated nutrient yield in the catchment. Therefore, the applicability of the SWAT modelling tool in studying NPS pollution yields poor model per- formance due to the scantiness of data used for model calibration. More rigorous data campaigns have to be carried out along the two rivers of Duma and Simiyu for purposes of gaining enough information for model calibration and valida- tion. With good model performance, developing management plans to control NPS pollution around Lake Victoria could be achieved using the SWAT model.
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