| 顾洋,张平究,秦风约,蔡永久,王晓龙.多时空景观格局对南淝河水质的影响[J].农业环境科学学报,2024,43(7):1580-1589. |
| 多时空景观格局对南淝河水质的影响 |
| Impact of multi-temporal and spatial landscape patterns on the water quality of the Nanfei River |
| 投稿时间：2023-10-30 |
| DOI：10.11654/jaes.2023-0900 |
| 中文关键词: 南淝河 流域 水质 多时空尺度 景观格局 |
| 英文关键词: Nanfei River basin water quality multiple spatial and temporal scales landscape pattern |
| 基金项目:国家自然科学基金项目（41971147）；巢湖流域山水林田湖草监测体系建设项目（调查评估部分）（2022BFAWZ02436） |
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| 中文摘要: |
| 为分析景观格局对合肥市南淝河水质的影响，基于南淝河流域的土地利用数据和水质实测数据，通过Mann-Whitney U检验、Spearman相关性分析和冗余分析等方法探究了水质的季节性变化以及不同时空尺度下水质与景观组成、景观指数之间的相关性。结果表明：南淝河非汛期水质总体优于汛期，且水质污染指标在空间分布上的离散程度较大。建设用地在非汛期、汛期均与高锰酸盐指数（CODMn）、硝态氮（NO3--N）、氨氮（NH3-N）、总氮（TN）、磷酸盐（PO43--P）和总磷（TP）呈正相关，是“源景观”；林地和水域则是“汇景观”。200、300 m河岸带缓冲区为非汛期、汛期景观指数对水质解释率最高的空间尺度，斑块密度（PD）、景观形状指数（LSI）、面积加权平均斑块分维数（FRAC_AM）、周长-面积分形维度（PAFRAC）、散布与并列指数（IJI）、平均欧式最近邻近距离（ENN_MN）是造成南淝河水质污染的主要影响因子。研究发现景观组成和景观指数对南淝河水质均有较大影响，未来的水质管理要从流域源、汇景观的连通性、破碎度、优势度、多样性方面针对性优化。 |
| 英文摘要: |
| This study was conducted to analyze the influence of landscape pattern on the water quality of the Nanfei River in Hefei City. Seasonal changes in water quality and the correlation between water quality and landscape composition and landscape indices at different spatial and temporal scales were analyzed based on the land use data and water quality measurement data of the Nanfei River basin using the Mann -Whitney U-test, Spearman's correlation, and redundancy analysis. The results showed that：the overall water quality of the Nanfei River during the non-flood season was better than that during the flood season, and the water quality pollution indicators were more discrete in spatial distribution. Construction land was positively correlated with permanganate index（CODMn）, nitrate nitrogen（NO3--N）, ammonia nitrogen（NH3-N）, total nitrogen（TN）, phosphate（PO43--P）, and total phosphorus（TP）in both non-flood and flood seasons, and it was a "source landscape"; whereas the woodland and water areas were "sink landscapes". The 200 m and 300 m riparian buffer zones were the spatial scales with the highest water quality interpretation rate by the landscape pattern indices in non-flood season and flood season. Patch density（PD）, landscape shape index（LSI）, area weighted average patch fractal dimension（FRAC-AM）, perimeter-area fractal dimension（PAFRAC）, interspersion and juxtaposition index（IJI）, and the mean of Euclidean nearest-neighbor distance （ENN_MN）were the main influencing factors for water quality pollution in the Nanfei River. It was found that both landscape composition and landscape indices had a large impact on the water quality of the Nanfei River. Future management of water quality should be optimized from the source and sink landscape of connectivity, fragmentation, dominance, and diversity of the watershed. |
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