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Identification and Assessment of Potential Water Quality Impact Factors for Drinking-Water Reservoirs

机译：识别和评估饮用水水库潜在水质影响因素

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摘要

Various reservoirs have been serving as the most important drinking water sources in Zhejiang Province, China, due to the uneven distribution of precipitation and severe river pollution. Unfortunately, rapid urbanization and industrialization have been continuously challenging the water quality of the drinking-water reservoirs. The identification and assessment of potential impacts is indispensable in water resource management and protection. This study investigates the drinking water reservoirs in Zhejiang Province to better understand the potential impact on water quality. Altogether seventy-three typical drinking reservoirs in Zhejiang Province encompassing various water storage levels were selected and evaluated. Using fifty-two reservoirs as training samples, the classification and regression tree (CART) method and sixteen comprehensive variables, including six sub-sets (land use, population, socio-economy, geographical features, inherent characteristics, and climate), were adopted to establish a decision-making model for identifying and assessing their potential impacts on drinking-water quality. The water quality class of the remaining twenty-one reservoirs was then predicted and tested based on the decision-making model, resulting in a water quality class attribution accuracy of 81.0%. Based on the decision rules and quantitative importance of the independent variables, industrial emissions was identified as the most important factor influencing the water quality of reservoirs; land use and human habitation also had a substantial impact on water quality. The results of this study provide insights into the factors impacting the water quality of reservoirs as well as basic information for protecting reservoir water resources.
机译：由于降水分布不均和严重的河流污染，各种水库一直是中国浙江省最重要的饮用水源。不幸的是，快速的城市化和工业化不断挑战着饮用水水库的水质。在水资源管理和保护中，潜在影响的识别和评估是必不可少的。本研究调查了浙江省的饮用水水库，以更好地了解对水质的潜在影响。选取并评估了浙江省共有73个典型的水库，这些水库涵盖了不同的水存储水平。以52个水库为训练样本，采用了分类回归树（CART）方法和16个综合变量，包括六个子集（土地利用，人口，社会经济，地理特征，内在特征和气候）。建立决策模型，以识别和评估其对饮用水水质的潜在影响。然后，基于决策模型对剩余的21个水库的水质等级进行了预测和测试，得出的水质等级归因准确度为81.0％。根据决策规则和自变量的定量重要性，工业排放被确定为影响水库水质的最重要因素。土地利用和人类居住也对水质产生了重大影响。这项研究的结果提供了对影响水库水质的因素的见识，以及保护水库水资源的基本信息。

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