Prediction of dissolved organic carbon (DOC) based on catchment characteristics is a useful tool for efficient and effective water management, but in the case of arid and semi-arid regions, such predictive capacity is scarce. Accordingly, the main objective of this study was to evaluate the significance of principal components for predicting DOC concentrations and fluxes in nine headwater catchments of the Hiv catchment located in the Southern Alborz Mountains in the west of Tehran, Iran. To achieve this aim, data were assembled on 24 headwater catchment characteristics comprising soil properties, physiography, seasonal rainfall, and flow attributes, as well as estimates of DOC concentrations and fluxes across four seasons. The results revealed a major positive correlation between DOC and soil organic matter parameters related to soil biological processes. Using general linear modelling, an organic matter component related to soil biology, a seasonal component related to the dummy effect of sampling seasons, and a soil physical component related to soil texture were found to be the best predictors for DOC responses in the study area.

基于集水特征的溶解有机碳（DOC）预测是有效管理水的有用工具，但是在干旱和半干旱地区，这种预测能力很有限。因此，本研究的主要目的是评估主要成分对预测伊朗德黑兰以南Alborz山地Hiv集水区的九个上游水源集水区中DOC浓度和通量的重要性。为了实现这一目标，收集了24个源头集水区特征的数据，包括土壤性质，地貌，季节性降雨和流量属性，以及四个季节的DOC浓度和通量估计值。结果表明，DOC与土壤生物过程相关的土壤有机质参数之间存在显着的正相关。使用通用线性建模，与土壤生物学相关的有机物成分，与采样季节的虚拟效应相关的季节成分以及与土壤质地相关的土壤物理成分被认为是研究区域DOC响应的最佳预测因子。