Spatio-Temporal Patterns and Source Identification of Water Pollution in Lake Taihu (China)

Abstract

Abstract:Various multivariate methods were used to analyze datasets of river water quality for 11 variables measured at 20 different sites surrounding Lake Taihu from 2006 to 2010 (13,200 observations), to determine temporal and spatial variations in river water quality and to identify potential pollution sources. Hierarchical cluster analysis (CA) grouped the 12 months into two periods (May to November, December to the next April) and the 20 sampling sites into two groups (A and B) based on similarities in river water quality characteristics. Discriminant analysis (DA) was important in data reduction because it used only three variables (water temperature, dissolved oxygen (DO) and five-day biochemical oxygen demand (BOD 5 )) to correctly assign about 94% of the cases and five variables (petroleum, volatile phenol, dissolved oxygen, ammonium nitrogen and total phosphorus) to correctly assign >88.6% of the cases. In addition, principal component analysis (PCA) identified four potential pollution sources for Clusters A and B: industrial source (chemical-related, petroleum-related or N-related), domestic source, combination of point and non-point sources and natural source. The Cluster A area received more industrial and domestic pollution-related agricultural runoff, whereas Cluster B was mainly influenced by the combination of point and non-point sources. The results imply that comprehensive analysis by using multiple methods could be more effective for facilitating effective management for the Lake Taihu Watershed in the future.

Lake Restoration and Management in a Climate Change Perspective: An Introduction

“…The authors conclude that a combined effect of climate and human-induced land cover changes is likely responsible for the drastic environmental changes and call for implementation of effective restoration and mitigation measures. Spatio-temporal variation was also in focus in a study of large subtropical Lake Taihu [24] where in-lake variation in water quality was compared with the associated variation in external loading. Hierarchical cluster analysis grouped the data into two seasons and the 20 sampling sites into two groups based on similarities in river water quality characteristics.…”

Kimia Fisik Perairan dan Ektoparasit Ikan Nila dan Patin Di Situ Gintung, Tangerang Selatan, Banten

“…Danau atau situ menyediakan berbagai macam fungsi dan layanan seperti sumber air minum, rekreasi, berenang, memancing, budidaya ikan dan populasi habitat flora dan fauna yang memiliki nilai ekonomi yang tinggi (Reynaud dan Lanzanova, 2017). Selain memiliki keuntungan berdasarkan nilai ekonomi, fungsi dan layanan tersebut memiliki kerugian terhadap ekosistem danau seperti menurunnya kualitas perairan (Kagalou et al, 2003), meningkatnya polusi di air (Chen et al, 2016;Su et al, 2016), berpotensi mengganggu terhadap kesehatan manusia (Zhang et al, 2009), dominansi biota, keanekaragaman yang menurun (Cai et al, 2012) jika dibandingkan dengan danau yang tidak ada gangguan antropogenik (Lange et al, 2013) dan mempengaruhi keberadaan parasit di ikan (Lacerda et al, 2018).…”

Kualitas Perairan pada Bulan Ramadan di Situ Gintung, Tangerang Selatan, Banten

“…Kualitas perairan danau menurun akibat dari masukkan nutrien organik sehingga jumlah sianobakteri dan bakteria (Wilhelm et al, 2011) dan limbah antropogenik (Chen et al, 2016) meningkat. Kualitas perairan dapat diketahui dengan menggunakan indikiator kimia, fisika dan biologi (Koçer & Sevgili, 2014), seperti indeks kualitas perairan (Lumb et al, 2011), sianobakteria dan Coliform (Wilhelm et al, 2011) dan Salmonella .…”