Assessment of Spatiotemporal Variations in the Water Quality of the Han River Basin, South Korea, Using Multivariate Statistical and APCS-MLR Modeling Techniques

This study evaluated the spatiotemporal variability of water quality in the Han River Basin (HRB) as well as the contributions of potential pollution sources using multivariate statistical and absolute principal component score-multiple linear regression (APCS-MLR) modeling techniques. From 2011 to 2020, data on water quality parameters were collected from 14 sites in the Ministry of Environment’s water quality monitoring network. Using spatiotemporal cluster analysis, these sites were classified into two periods over the year (dry and wet seasons) and into three regions: low pollution region (LPR), moderate pollution region (MPR), and high pollution region (HPR). Through principal component analysis, we identified four potential factors accounting for 80.1% and 74.1% of the total variance in the LPR and MPR, respectively, and three that accounted for 72.7% of the total variance in the HPR. APCS-MLR results indicated domestic sewage and phytoplankton growth (25%), domestic sewage and seasonal influence (29%), and point pollution sources caused by domestic sewage and industrial wastewater discharge (31%) as potential factors for the LPR, MPR, and HPR. These results demonstrate that the multivariate statistical techniques and the APCS-MLR model can be effectively used to monitor network design, quantitatively evaluate potential pollution sources, and establish efficient water quality management policies.

The selection of laccase producing polypores fungi and inducer addition on the degradation of batik waste

Research on the selection of laccase producing polypores fungi and inducer addition on the degradation of batik waste has been carried out. The objectives of this study were to obtain isolates of polypores fungi with high laccase activity and data on the inducer effect in the batik waste degradation by selected isolate. Batik waste is potential pollution to the environment. It has been found that the Polyporaceae fungus reduce water pollution caused by batik waste. Fungal fruiting bodies were collected at the Cibinong Science Center and forest park IPB Campus Darmaga, Bogor. The inducers used included 15 g/L sucrose, 200 μM CuSO4, and 1.5% sorghum waste. Seven isolates of polypores fungi were obtained. Isolate J6 with high laccase activity was obtained and identified as Coriolopsis sp. The addition of sorghum waste to the growth medium increased the laccase activity of Coriolopsis sp. J6 by 1428 U/mL. Coriolopsis sp. J6 was able to reduce the color of Poly R-478 by 83.73% after the addition of sucrose and incubation for 10 days. This fungus was able to reduce the color of batik waste by 37.17% after the addition of 1.5% sorghum waste and incubation for 10 days.

Development of a Cyberinfrastructure for Assessment of the Lower Rio Grande Valley North and Central Watersheds Characteristics

Lower Laguna Madre (LLM) is designated as an impaired waterway for high concentrations of bacteria and low dissolved oxygen. The main freshwater sources to the LLM flow from the North and Central waterways which are composed of three main waterways: Hidalgo/Willacy Main Drain (HWMD), Raymondville Drain (RVD), and International Boundary & Water Commission North Floodway (IBWCNF) that are not fully characterized. The objective of this study is to perform a watershed characterization to determine the potential pollution sources of each watershed. The watershed characterization was achieved by developing a cyberinfrastructure, and it collects a wide inventory of data to identify which one of the three waterways has a major contribution to the LLM. Cyberinfrastructure development using the Geographic Information System (GIS) database helped to comprehend the major characteristics of each area contributing to the watershed supported by the analysis of the data collected. The watershed characterization process started with delineating the boundaries of each watershed. Then, geospatial and non-geospatial data were added to the cyberinfrastructure from numerous sources including point and nonpoint sources of pollution. Results showed that HWMD and IBWCNF watersheds were found to have a higher contribution to the water impairments to the LLM. HWMD and IBWCNF comprise the potential major sources of water quality impairments such as cultivated crops, urbanized areas, on-site sewage facilities, colonias, and wastewater effluents.

Analysis of the threat of groundwater contamination in the Jacó aquifer, Central Pacific, Costa Rica

[Introduction]: In Costa Rica, more than 70 % of the public drinking water supply comes from groundwater sources. In the coastal city of Jacó, on the Central Pacific Coast of Costa Rica, tourism activity is essential for economic development and groundwater represents a source for supplying tourists and residents. [Objective]: This research aims to characterize the threats of groundwater contamination to the coastal aquifer of Jacó due to human activities, based on land use analysis, characterization of potential pollution sources and, estimation of the floating population related to tourist activity. [Methodology]: An inventory of potential pollution sources was carried out through the location of human/anthropogenic activities. Potential point, diffuse and linear sources were classified based on the Pollutant Origin Surcharge Hydraulically (POSH) method, as activities with high, medium and low potential generating pollutant load (threat) [Results]: Of the total potential sources, 0.5 % correspond to activities with high potential, 14.0 % medium potential and 23.5 % low potential, and 62.0 % null potential. Out of 129 point pollution sources, 64.3 % were classified as medium threat activities due to the storage and handling of potentially polluting chemicals. Although the sources of high threat are those of lesser occurrence in the study area, they can generate greater negative impacts on groundwater resources. These are located mainly in the urban area of the city where the floating population reaches more than 12 000 people during the holidays, so their potential for pollutant loading could rise during this period. [Conclusions]: The results will be considered in territory planning, which seeks to reduce the probability of groundwater contamination in Jacó.

Evaluating the Pollution Risk of Soil Due to Natural Drainage of Orange Peel: First Results

Orange peel (OP), the main residue of the citrus industry, is usually used for animal feeding and soil fertilisation if more advanced options are lacking. In areas with warm and dry climatic conditions, OP is land-spread for solar-drying on the fields, the leachate produced is a potential pollution factor for soil especially due to the release of organic matter; heavy rainfalls could even aggravate the hazard. Since literature does not report any quantitative evaluation of this risk, this study presents three OP drainage tests in lysimeters, where OP was left releasing leachate on a soil layer. A first test was carried out on raw OP naturally draining, while, in a second and a third test, a rainfall of 100 mm was applied on already drained and solar-dried OP, respectively. After drainage, raw OP reduced its initial volume by about 90% and the leachate production accounted only for about 20% of the initial volume. The simulated rainfall produced even lower volumes of leachate (2–3% of the initial biomass volume), in spite of the high rainfall volume and long drainage time after its application. The COD concentration in the leachate from the raw OP was significantly higher than those produced after simulated rainfall. However, the COD amount released to the soil was negligible. The lysimetric tests showed that the release of leachate occurs mainly during the first phase of drainage and that rainfall is absorbed and does not produce significant leaching. Overall, the risk of soil pollution due to the natural drainage of OP is negligible, due to both limited amounts of leachate and organic loading.

A novel assessment considering spatial and temporal variations of water quality to identify pollution sources in urban rivers

It’s vital to explore critical indicators when identifying potential pollution sources of urban rivers. However, the variations of urban river water qualities following temporal and spatial disturbances were highly local-dependent, further complicating the understanding of pollution emission laws. In order to understand the successional trajectory of water qualities of urban rivers and the underlying mechanisms controlling these dynamics at local scale, we collected daily monitoring data for 17 physical and chemical parameters from seven on-line monitoring stations in Nanfeihe River, Anhui, China, during the year 2018. The water quality at tributaries were similar, while that at main river was much different. A seasonal ‘’turning-back” pattern was observed in the water quality, which changed significantly from spring to summer but finally changed back in winter. This result was possibly regulated by seasonally-changed dissolved oxygen and water temperature. Linear mixed models showed that the site 2, with the highest loads of pollution, contributed the highest (β = 0.316, P < 0.001) to the main river City Water Quality Index (CWQI) index, but site 5, the geographically nearest site to main river monitoring station, did not show significant effect. In contrast, site 5 but not site 2 contributed the highest (β = 0.379, P < 0.001) to the main river water quality. Therefore, CWQI index was a better index than water quality to identify potential pollution sources with heavy loads of pollutants, despite temporal and spatial disturbances at local scales. These results highlight the role of aeration in water quality controlling of urban rivers, and emphasized the necessity to select proper index to accurately trace the latent pollution sources.