A new ecological risk assessment index for metal elements in sediments based on receptor model, speciation, and toxicity coefficient by taking the Nansihu Lake as an example

Abstract

This study focuses on the establishment of a new ecological risk assessment method called as multiparameter evaluation index (MPE) by a combination of speciation, toxicity coefficient, and receptor model of metal elements in sediments and the application of MPE in the assessment of ecological risks of Be, Sb, and Tl in the Nansihu Lake. Because of lack of toxicity coefficient values for Be, Sb, and Tl, their toxicity coefficients were calculated in this study. Speciation analysis showed that Sb had better mobility and bioavailability than Be and Tl. Source apportionment results showed that Be and Sb were mainly from human activities and introduced minerals. Tl was mainly an inherent mineral. MPE results showed that the degree of ecological risk was Be > Sb ≫ Tl. MPE could distinguish the ecological risk levels more accurately than current indices such as RI and RAC.

Investigating the Spatiotemporally Varying Correlation between Urban Spatial Patterns and Ecosystem Services: A Case Study of Nansihu Lake Basin, China

“…Along with the rapid urbanization, a more complicated urban landscape formed, as indicated by the increase in SHAPE_MN. The PLAND value increased from 14.0738 to 19.2576, which is in accordance with statistical data shown in Table 4. The spatial pattern of variation in PLAND indicates that the allocation of new builtup land included both growth around the existing city core and the generation of new built-up land patches.…”

“…The total area of the Nansihu Lake Basin (NLB) is 28,364 km 2 . It has a semi-humid monsoon continental climate, with an average annual temperature of 14.2 • C, an average annual precipitation of 750 mm, and an annual potential evapotranspiration of 942 mm [19]. The NLB is not only a main impounded lake for the South-to-North Water Diversion Project in China [20], but also an important natural reservoir in eastern China.…”

Speciation Analysis and Ecological Risk Assessment of Antimony in Xikuangshan, Hunan Province

“…Muller divided I geo into seven grades [13,14 (2) PER The PER index proposed by Hanson [15,16] integrates heavy metal concentrations, ecological effects, environmental effects and toxicology, and quantitatively divides the degree of potential risks. The PER index of concrete heavy metal pollution can be expressed as: (2) ..where E r i is the PER factor of a given element; T r i is its toxicity index (which is 7 [17]); C r i is the pollution factor; D i is the average content of the target element; B i is the standard reference level in the industry (B i = 1.5 for Sb [18,19]). E r i <40, 40≤E r i <80, 80≤E r i <160, 160≤E r i <320, and E r i >320 mean low, modest, high, severe and very severe PER respectively [20,21].…”

Impact of typhoon Matmo (2014) on the distribution of heavy metals in Quanzhou Bay

“…The multivariate potential ecological hazard index method, proposed by Hakanson (1980), is one of the most efficient and convenient heavy metal pollution assessment methods in the soil and sediment research (Maanan et al 2015;Pejmana et al 2015;Zhuang et al 2018). This index is calculated as follows:…”