Effects of catchment and riparian landscape setting on water chemistry and seasonal evolution of water quality in the upper Han River basin, China.
Effects of catchment and riparian landscape setting on water chemistry and seasonal evolution of water quality in the upper Han River basin, China.
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中国汉江上游流域流域和河岸景观设置对水化学和水质季节变化的影响
DOI：
10.1371/journal.pone.0053163
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Zhang Q
中科院分区：
文献类型：
--
作者：
Li S;Xia X;Tan X;Zhang Q
中国，研究了汉江上游6年(2005年~2010年)水化学成分(Cl-−、NO3-−、SO42-−、HCO3-−、Na+、K+、Ca2+、Mg2+)的演变及其与地形特征(即坡度和面积)、土地覆盖和水文季节性的相互作用，以确定控制汉江上游河流水质格局的控制因素和过程。相关分析和逐步回归模型表明，无论是丰水期还是枯水期，整个流域的离子(即Cl-−、SO42-−、Na+和K+)与地表覆盖(植被和裸地)之间均存在显著的相关关系，且在缓冲区中，这种相关性在枯水期表现更为明显。坡度较大(>；15°)的集水区与主要离子呈负相关，这主要是由于流域特征的多重共线性。在雨季，缓冲区内的土地覆盖对主要要素的解释比集水规模略少，而在旱季，沿河网的土地覆盖，特别是100米河岸带内的土地覆盖，更能解释主要要素，而不是整个集水区的主要要素。然而，人为土地利用(即城市和农业)不能解释水化学变量，尽管EC、TDS、人为标记物(Cl−、NO3−、SO42)、Na+、K+和Ca~(2+)在2005年至2010年期间显著增加，这一点得到了表明人为输入的主成分分析的证实。观测结果表明，工业污染河流中的溶质浓度要高得多。我们的结果表明，水质的季节演变与多尺度的空间分析相结合，应该是识别水质时空格局控制的重要组成部分。
Six-year (2005–2010) evolution of water chemistry (Cl−, NO3 −, SO4 2−, HCO3 −, Na+, K+, Ca2+ and Mg2+) and their interactions with morphological properties (i.e., slope and area), land cover, and hydrological seasonality were examined to identify controlling factors and processes governing patterns of stream water quality in the upper Han River, China. Correlation analysis and stepwise multiple regression models revealed significant correlations between ions (i.e., Cl−, SO4 2−, Na+ and K+) and land cover (i.e., vegetation and bare land) over the entire catchment in both high- and low-flow periods, and in the buffer zone the correlation was much more stronger in the low-flow period. Catchment with steeper slope (>15°) was negatively correlated with major ions, largely due to multicollinearity of basin characteristics. Land cover within the buffer zone explained slightly less of major elements than at catchment scale in the rainy season, whereas in the dry season, land cover along the river networks in particular this within 100 m riparian zone much better explained major elements rather than this over the entire catchment. Anthropogenic land uses (i.e., urban and agriculture) however could not explain water chemical variables, albeit EC, TDS, anthropogenic markers (Cl−, NO3 −, SO4 2), Na+, K+ and Ca2+ significantly increased during 2005–2010, which was corroborated by principal component analyses (PCA) that indicated anthropogenic inputs. Observations demonstrated much higher solute concentrations in the industrial-polluted river. Our results suggested that seasonal evolution of water quality in combined with spatial analysis at multiple scales should be a vital part of identifying the controls on spatio-temporal patterns of water quality.
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影响因子：
8
作者：
Matricciani, Lisa Anne;Olds, Tim S.;Williams, Marie T.
通讯作者：
Williams, Marie T.
影响因子：
5.6
作者：
Calhoun, Susan L.;Vgontzas, Alexandros N.;Bixler, Edward O.
通讯作者：
Bixler, Edward O.
影响因子：
4.9
作者：
Clinkinbeard, Samantha S.;Simi, Pete;Anderson, Amy L.
通讯作者：
Anderson, Amy L.
影响因子：
3.1
作者：
Holley, Simone;Hill, Catherine M.;Stevenson, Jim
通讯作者：
Stevenson, Jim
影响因子：
--
作者：
Kerkhof, Gerard A.;Van Dongen, Hans P. A.
通讯作者：
Van Dongen, Hans P. A.