Zeng Shuai, Qin Zihong, Ruan Baozhen, Lei Shaohua, Yang Jian, Song Weiwei, Sun Qiang
South China Institute of Environmental Science, Ministry of Ecology and Environment, NO.18 Ruihe RD., Guangzhou, 510535, PR China.
School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, PR China.
Environ Res. 2023 Mar 15;221:115219. doi: 10.1016/j.envres.2023.115219. Epub 2023 Jan 3.
Particulate phosphorus (PP) plays an important biological role in the eutrophication process, and is thus an important water quality parameter for assessing climatic change and anthropogenic activity factors that affect aquatic ecosystems. Here, we used 20-year Moderate Resolution Imaging Spectroradiometer (MODIS) data to explore the patterns and trends of PP concentration (C) in eutrophic Lake Chaohu based on a new empirical model. The validation results indicated that the developed model performed satisfactorily in estimating C, with a mean absolute percentage error of 31.89% and root mean square error of 0.022 mg/L. Long-term MODIS observations (2000-2019) revealed that the C of Lake Chaohu has experienced an overall increasing trend and distinct spatiotemporal heterogeneity. The driving factor analysis revealed that the chemical fertilizer consumption, municipal wastewater, industrial sewage, precipitation, and air temperature were the five potential driving factors and collectively explained more than 81% of the long-term variation in C. This study provides the long-term datasets of C in inland waters and new insights for future water eutrophication control and restoration efforts.
颗粒态磷（PP）在富营养化过程中发挥着重要的生物学作用，因此是评估影响水生生态系统的气候变化和人为活动因素的重要水质参数。在此，我们基于一个新的经验模型，利用20年的中分辨率成像光谱仪（MODIS）数据，探究了富营养化巢湖的颗粒态磷浓度（C）的格局和趋势。验证结果表明，所建立的模型在估算C方面表现良好，平均绝对百分比误差为31.89%，均方根误差为0.022毫克/升。长期的MODIS观测（2000 - 2019年）显示，巢湖的C总体呈上升趋势，且具有明显的时空异质性。驱动因素分析表明，化肥消费量、城市污水、工业污水、降水量和气温是五个潜在驱动因素，共同解释了C长期变化的81%以上。本研究提供了内陆水体C的长期数据集，并为未来的水体富营养化控制和修复工作提供了新的见解。
