Water Quality Management Based on Division of Dry and Wet Seasons in Pearl River Delta, China

Abstract

In the Pearl River Delta (PRD), river water quality deteriorates continually due to the population increase and ongoing industrialization and urbanization. In this study, a water quality management paradigm based on the seasonal variation is proposed. For better exploring the seasonal change of water quality, wavelet analysis was used to analyze the division of dry and wet seasons in the PRD during 1952PRD during -2009. Then water quality seasonal variation in 2008 and relevant impact factors were analyzed by multivariate statistic methods as a case to make some management measures. The results show that there are some differences of dry and wet seasons division among different years. Wet season mainly appear from April to September, which occupy the largest proportion among the 58 years (about 70%) and then followed by the wet season from May to October (about 13.8% of the total years). As to the water quality of 2008, significant differences exist between dry and wet seasons for 17 water quality parameters except TP, NO À 3 , Fe 2þ , and Zn 2þ . Levels of parameters pH, EC, COD Mn , BOD 5 , NH þ 4 , SO 2À 4 , and Cl À in dry season are much higher than those in wet season. In dry season the variations of river water quality are mainly influenced by domestic sewage, industrial effluents, and salt water intrusion. While in wet season, except the aforementioned pollution sources, drainages from cultivated land and livestock farm are also the main factors influencing water pollution. Thus, water quality management measures are proposed in dry and wet seasons, respectively. The results obtained from this study would further facilitate water quality protection and water resources management in the PRD.

Water Quality and Aquatic Insects Study at the Lower Kinabatangan River Catchment, Sabah: In Response to Weak La Niña Event

“…For example, high COD concentration during the wet season was exhibited in Danjiangkou Reservoir, China (Li et al 2009) and in the Lake of the Francesa, Brazil (mean: 36.6 mg/L) (Kimura et al 2011). Inversely, high COD values during the dry season also have been observed in Semarang, Indonesia (Mangimbulude et al 2009); upper Ogun River in Nigeria (Adeogun et al 2011) and Pearl River Delta, China (Fan et al 2012). BOD concentrations were varied during both wet and dry seasons could be associated with organic loads in this area.…”

“…It has been found that BOD has positive relationship with organic pollution such as domestic sewage (Islam et al 2012), therefore could indicate microbial activities in the water bodies (Nakamura et al 2007;Pant & Adholeya 2007). High level of BOD during the dry season also has been observed in Chini Lake, Malaysia (Islam et al 2012) and Pearl River Delta, China (Fan et al 2012) and Kathmandu Valley, Nepal (Rutkowski et al 2007). In comparison with other rivers in Malaysia, the WQI values for Juru River ranged from class III to class IV (Al-Shami et al 2011), Langat River (Azrina et al 2006), 53.6-81.9 (II-III) in the Linggi River (Ahmad et al 2002), 26.43-86.9 (II-V) in the Penang River (Maznah & Mansor 2002) and 47.59-54.35 (III-IV) in the Petani River (Hazzeman et al 2006).…”

Linkage Analysis of Land Use/Cover Patterns and Hydro-Chemical Characteristics in Different Seasons in Ebinur Lake Watershed, China

“…Given seasonal differences, the unbalanced distribution of precipitation results in an apparent variation in surface runoff and further imbalance in the spatial distribution of hydro-chemical characteristics in the research zone [27][28][29]. Overall, hydro-chemical characteristic parameters changed significantly during rainy and dry seasons (Table 2).…”

Alternative Intake Station in Saguling Reservoir for The Needs of Raw Water in Bandung Metropolitan Area

“…Evaluation of water quality can be conducted with spatial and temporal approach [1][2][3][4][5], [12], [20], [21]. Therefore, the availability of periodic and regular (time series) data monitoring is the success key in performing the water quality evaluation [14][15][16][17], [8], [9]. In addition to historical data series, the selection of appropriate water quality parameters is also a very important variable in evaluating the quality of water source [18], [20].…”