State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China.
Yellow River Institute of Hydraulic Research, Yellow River Engineering Consulting Co., Ltd., Zhengzhou, China.
Environ Monit Assess. 2021 Apr 23;193(5):292. doi: 10.1007/s10661-021-09067-1.
The foundation of managing excess nutrients in river is the identification of key physical processes and the control of decisive influencing factors. The existing studies seldom consider the influence of rainfall-runoff relationship and only focus on a few anthropogenic activities and natural attributes factors. To address this issue, a comprehensive set of influencing factors including rainfall-runoff relationship (represented by runoff coefficient), basic physical and chemical parameters of water quality, land use types, landscape patterns, topography, and socioeconomic development was constructed in this study. M-K test and cluster analysis were conducted to identify the temporal mutation and spatial clustering characteristics of NH-N and TP in Huangshui River basin, respectively. Partial least squares regression was used to elucidate the linkages between water contaminants and the factors. As shown in the results, the temporal mutations of NH-N and TP were obvious in the middle reaches, with 4 out of 7 catchments in the middle reaches have a larger number of mutations of NH-N than other catchments. The cluster analysis results of NH-N and TP among catchments were similar. This study also indicated that although the Huangshui River basin was located in the upper reaches of the Yellow River, the influences of rainfall-runoff relationship on spatiotemporal changes of NH-N and TP in its sub-basins were limited. Only the temporal change of NH-N in Jintan catchment in the upstream area was significantly affected by runoff coefficient. The indexes of proportion of water area (PWA), proportion of impervious area (PIA), and proportion of primary industry (PPI) were the top three influencing factors of temporal variation of NH-N and TP for most catchments in the middle reaches. The temporal change of NH-N in Jintan catchment in the upstream area was obviously affected by runoff coefficient. The spatial variation of NH-N and TP were all affected by PWA and proportion of secondary industry significantly. The results of this study can provide theoretical basis and technical support for the control and management of nitrogen and phosphorus pollution in upper reaches of rivers.
管理河流中过量养分的基础是确定关键物理过程和控制决定性影响因素。现有研究很少考虑降雨-径流关系的影响,而只关注少数人为活动和自然属性因素。为了解决这个问题,本研究构建了一套包括降雨-径流关系(以径流系数表示)、水质基本物理化学参数、土地利用类型、景观格局、地形和社会经济发展在内的综合影响因素。M-K 检验和聚类分析分别用于识别湟水流域 NH-N 和 TP 的时间突变和空间聚类特征。偏最小二乘回归用于阐明水质污染物与因子之间的关系。结果表明,NH-N 和 TP 的时间突变在中游较为明显,中游 7 个流域中有 4 个流域的 NH-N 突变数量大于其他流域。NH-N 和 TP 流域间聚类分析结果相似。本研究还表明,尽管湟水流域位于黄河上游,但降雨-径流关系对其子流域 NH-N 和 TP 的时空变化影响有限。只有上游地区金滩流域的 NH-N 时间变化受径流系数的显著影响。水域比例(PWA)、不透水面积比例(PIA)和第一产业比例(PPI)是中游大多数流域 NH-N 和 TP 时间变化的前三个影响因素。上游金滩流域的 NH-N 时间变化明显受径流系数影响。NH-N 和 TP 的空间变化均明显受 PWA 和第二产业比例的影响。本研究结果可为河流上游氮磷污染的控制和管理提供理论依据和技术支持。