干旱区生态环境知识资源中心(Arid): 基于随机森林模型的干旱绿洲区张掖盆地地下水水质评价

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	基于随机森林模型的干旱绿洲区张掖盆地地下水水质评价
其他题名	Assessment of Groundwater Quality Based on Random Forest Model in Arid Oasis Area
	吴敏 1; 温小虎 2; 冯起2 ; 尹振良 2; 杨林山 2
来源期刊	中国沙漠
ISSN	1000-694X
出版年	2018
卷号	38 期号:3 页码:657-663
中文摘要	为合理准确评价地下水水质,建立了基于随机森林(RF)模型的地下水水质评价模型,并根据张掖盆地81个地下水采样点的pH值、Cl~-、SO_4~(2-)、NO_3~+ 、Na~+、NH_4~+含量及总硬度的监测数据,对研究区的地下水水质进行了综合评价。结果表明:盆地地下水水质主要为Ⅱ、Ⅲ、Ⅳ类水,其中甘州区地下水埋藏较深,水体不容易受到来自地面的污染,水质较好,大多数地方为Ⅱ类水;临泽县和高台县地下水埋藏较浅,水质较差,大多数地方为Ⅲ类水,尤其高台县的水位最浅,再加上地处河段下游,污染更为严重,部分地区达到Ⅳ类。根据指标的重要性度量发现影响研究区域地下水水质的主要因子是NO_3~-含量;其次是NH_4~+ 、SO_4~(2-)、Na~+、Cl~-含量及总硬度、pH值。为验证模型的有效性,将地下水水质评价结果与基于支持向量机(SVM)和人工神经网络(ANN)的地下水水质综合评价模型模拟结果进行对比,3个模型均能很好地评价研究区地下水水质,但RF模型的评价结果更为准确。
英文摘要	In this study,agroundwater quality evaluation model was established to assess the groundwater quality reasonably and accurately in the Zhangye Basin by using random forest model(RF).Based on the pH,Cl~-,SO_4~(2-),NO_3~- ,Na~+,NH_4~+ ,and total hardness observation values of 81 groundwater sampling points in the basin,a comprehensive evaluation of groundwater quality for the whole study area was made. Results indicated that the water quality in the study area can be mainly classified into classⅡ,Ⅲ,andⅣ. Specifically,water quality in most of the local Ganzhou District was classⅡbecause groundwater was difficult to be contaminated by surface for the deep water table.However,with shallow water level and poor water quality,most areas in Linze county and Gaotai county had classⅢ water quality,especially some areas in Gaotai county even reached classⅣfor the highest water level and being located in downstream of the river. Moreover,according to the index of importance,the main factor affecting the groundwater quality in the study area was found to be NO_3~- and the order of the other ions was NH_4~+ ,SO_4~(2-),Na~+,Cl~-,total hardness and pH successively.In order to test the validity of the developed model,comparisons were made to the support vector machine(SVM )model and the artificial neural network(ANN)model.Results showed that performances obtained by the three aforementioned models were satisfactory and RF model performed much better than the SVM and ANN models.
中文关键词	水质评价 ; 地下水 ; 随机森林 ; 张掖盆地
英文关键词	water quality evaluation groundwater random forest Zhangye Basin
语种	中文
国家	中国
收录类别	CSCD
WOS类目	GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向	Geology
CSCD记录号	CSCD:6242677
来源机构	中国科学院西北生态环境资源研究院
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/238773
作者单位	1.中国科学院西北生态环境资源研究院;;中国科学院大学, ;;, 兰州;;, 甘肃;;北京 730000;;100049, 中国; 2.中国科学院西北生态环境资源研究院, 兰州, 甘肃 730000, 中国
推荐引用方式 GB/T 7714	吴敏,温小虎,冯起,等. 基于随机森林模型的干旱绿洲区张掖盆地地下水水质评价[J]. 中国科学院西北生态环境资源研究院,2018,38(3):657-663.
APA	吴敏,温小虎,冯起,尹振良,&杨林山.(2018).基于随机森林模型的干旱绿洲区张掖盆地地下水水质评价.中国沙漠,38(3),657-663.
MLA	吴敏,et al."基于随机森林模型的干旱绿洲区张掖盆地地下水水质评价".中国沙漠 38.3(2018):657-663.