Selection and placement of best management practices used to reduce water quality degradation in Lincoln Lake watershed
Selection and placement of best management practices used to reduce water quality degradation in Lincoln Lake watershed
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DOI：
10.1029/2009wr008549
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发表时间：
2011-01
影响因子：
5.4
通讯作者：
H. G. Rodriguez;J. Popp;C. Maringanti;I. Chaubey
中科院分区：
文献类型：
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作者：
H. G. Rodriguez;J. Popp;C. Maringanti;I. Chaubey
农业养分损失的增加日益引起人们对阿肯色州水质的担忧。多项研究表明，最佳管理实践（BMP）可以有效控制水污染。然而，那些受水质问题影响的人需要考虑最佳管理措施的选择、安置和承受能力的水管理计划。本研究使用非支配排序遗传算法（NSGA-II）。这种多目标算法通过提供污染物减少和总净成本增加之间的权衡曲线（最佳前沿）来选择和定位能够以成本有效的方式最大限度地减少营养物污染的 BMP。该优化框架的实用性在林肯湖流域进行了评估。最终的 NSGA-II 优化模型通过从 35 个 BMP（牧场管理、缓冲区和家禽垫料应用实践的组合）中进行选择，生成了许多接近最优的解决方案。在各种成本解决方案下对 BMP 的选择和布局进行了分析。 NSGA-II 提供了多种适合流域水资源管理计划的解决方案。例如，通过实施成本最低解决方案中推荐的所有 BMP 组合，总磷 (TP) 可以减少至少 76%，同时整个流域的成本增加不到 2%。与基线相比，该值表示成本增加了 5.49 美元 ha−1。使用中等和最高成本解决方案实施提出的所有 BMP 组合可以大幅降低 TP，但成本将分别增加 24,282 美元 (7%) 和 82,306 美元 (25%)。
An increased loss of agricultural nutrients is a growing concern for water quality in Arkansas. Several studies have shown that best management practices (BMPs) are effective in controlling water pollution. However, those affected with water quality issues need water management plans that take into consideration BMPs selection, placement, and affordability. This study used a nondominated sorting genetic algorithm (NSGA‐II). This multiobjective algorithm selects and locates BMPs that minimize nutrients pollution cost‐effectively by providing trade‐off curves (optimal fronts) between pollutant reduction and total net cost increase. The usefulness of this optimization framework was evaluated in the Lincoln Lake watershed. The final NSGA‐II optimization model generated a number of near‐optimal solutions by selecting from 35 BMPs (combinations of pasture management, buffer zones, and poultry litter application practices). Selection and placement of BMPs were analyzed under various cost solutions. The NSGA‐II provides multiple solutions that could fit the water management plan for the watershed. For instance, by implementing all the BMP combinations recommended in the lowest‐cost solution, total phosphorous (TP) could be reduced by at least 76% while increasing cost by less than 2% in the entire watershed. This value represents an increase in cost of $5.49 ha−1 when compared to the baseline. Implementing all the BMP combinations proposed with the medium‐ and the highest‐cost solutions could decrease TP drastically but will increase cost by $24,282 (7%) and $82,306 (25%), respectively.