Effects of land use, topography and socio-economic factors on river water quality in a mountainous watershed with intensive agricultural production in East china.
Effects of land use, topography and socio-economic factors on river water quality in a mountainous watershed with intensive agricultural production in East china.
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DOI：
10.1371/journal.pone.0102714
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Lu J
中科院分区：
文献类型：
--
作者：
Chen J;Lu J
了解人类活动和自然因素对河流水质的主要影响，对于研究和有效管理水资源具有重要意义。以曹娥江水系3年的水质监测数据为基础，综合运用方差分析、主成分分析、皮尔逊相关分析、多元回归分析和冗余分析等方法，探讨了曹娥江水系水质的时空变化特征，评价了流域土地利用、地形和社会经济因素对河流水质的影响。统计分析表明，TN、pH和温度在雨季普遍较高，而BOD5、DO和浊度在旱季较高。河流水质的空间变异与多种人为和自然因素有关。城市土地利用是BOD_5、CODMn、TN、DN、NH_4~+-N、NO_3、−-N、DO、pH和TP的最重要的解释变量。人均畜牧业产量是TP和浑浊度的重要预测因子，人均国内生产总值在很大程度上决定了EC的空间差异。其余无法解释的差异与其他因素有关，如地形。结果表明，农村居民点畜禽粪便排放、农田农业径流、工业生产污染、城市和工业区生活污染是曹娥江流域的重要污染控制。此外，由单个变量和/或所有环境变量(根据RDA)解释的总河流水质变化的百分比可以帮助定量确定控制分水岭尺度污染的主要因素。
Understanding the primary effects of anthropogenic activities and natural factors on river water quality is important in the study and efficient management of water resources. In this study, analysis of Variance (ANOVA), Principal component analysis (PCA), Pearson correlations, Multiple regression analysis (MRA) and Redundancy analysis (RDA) were applied as an integrated approach in a GIS environment to explore the temporal and spatial variations in river water quality and to estimate the influence of watershed land use, topography and socio-economic factors on river water quality based on 3 years of water quality monitoring data for the Cao-E River system. The statistical analysis revealed that TN, pH and temperature were generally higher in the rainy season, whereas BOD5, DO and turbidity were higher in the dry season. Spatial variations in river water quality were related to numerous anthropogenic and natural factors. Urban land use was found to be the most important explanatory variable for BOD5, CODMn, TN, DN, NH4 +-N, NO3 −-N, DO, pH and TP. The animal husbandry output per capita was an important predictor of TP and turbidity, and the gross domestic product per capita largely determined spatial variations in EC. The remaining unexplained variance was related to other factors, such as topography. Our results suggested that pollution control of animal waste discharge in rural settlements, agricultural runoff in cropland, industrial production pollution and domestic pollution in urban and industrial areas were important within the Cao-E River basin. Moreover, the percentage of the total overall river water quality variance explained by an individual variable and/or all environmental variables (according to RDA) can assist in quantitatively identifying the primary factors that control pollution at the watershed scale.
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影响因子：
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