NDLI: Prediction of physico-chemical variables and chlorophyll a criteria for ecoregion lakes using the ratios of land use to lake depth

Content Provider	Springer Nature Link
Author	Huo, Shouliang Ma, Chunzi He, Zhuoshi Xi, Beidou Su, Jing Zhang, Li Wang, Ji
Copyright Year	2015
Abstract	Establishing nutrient criteria for regional lakes is necessary to assess human impact on lake aquatic ecosystems and protect water quality and biotic integrity. Multiple linear regression models, in which the ratios of land use to mean lake depth (DEP) are the predictor variables, and the logarithms of physico-chemical variables and Chl a concentrations are the dependent variables, were developed to predict physico-chemical variables and chlorophyll a criteria for Yungui Plateau Ecoregion lakes. The contemporary land use data of 22 lake watersheds were analyzed and employed to develop the spatial relationship with the regression models. The data of five lake watersheds in four periods were used to verify the accuracy of the regression models, and to test their applicability in time scale. The intercept of these models (i.e., expected physico-chemical variables and Chl a concentrations in the absence of human activities) represents the criterion concentrations. Results suggested that the percentages of other construction land/DEP had strong positive influences on the concentrations of all variables (except electrical conductivity). The multiple linear regression models offered a potential method for regions with heavy anthropogenic disturbances to develop the physico-chemical variables and Chl a criteria.
Starting Page	3709
Ending Page	3719
Page Count	11
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	74
Issue Number	5
e-ISSN	18666299
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-01-17
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Nutrient criteria Physico-chemical variables Chlorophyll a Land use Geology Hydrology/Water Resources Geochemistry Environmental Science and Engineering Terrestrial Pollution Biogeosciences
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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