Development of a water quality modeling system for river pollution index and suspended solid loading evaluation

2013 ◽  
Vol 478 ◽  
pp. 89-101 ◽  
Author(s):  
Y.C. Lai ◽  
Y.T. Tu ◽  
C.P. Yang ◽  
R.Y. Surampalli ◽  
C.M. Kao
2021 ◽  
Vol 934 (1) ◽  
pp. 012059
Author(s):  
A M S Hertika ◽  
D Arfiati ◽  
E D Lusiana ◽  
R B D S Putra ◽  
D R N Wasti

Abstract Anthropogenic activities along watershed area are often causing river pollution. This will affect the sustainability of aquatic resources, such as fish. One of the fish species in Brantas River that can be employed as bioindicator of water pollution is Wader fish (Puntius, sp.). The aim of this research was to analyze the health of Wader fish based on tits hematological profile. This study utilized descriptive method and conducted in three sites of Brantas River that located in Malang city, Indonesia. We took water quality parameters data to obtain Pollution Index of the river and blood samples to evaluate the hematological profile of wader fish caught in research area. Further analysis to evaluate relationship between water quality factors and hematological profile of Wader fish was performed by using Canonical Correspondence Analysis (CCA) with the support of PAST software version 4.06. The results showed that pH, temperature, dissolved oxygen (DO), ammonia and total suspended solid (TSS) of the study area were within the normal range, while the biological oxygen demand (BOD) value was above the standard. In addition, Pollution Index of this research suggested that Brantas River condition was low polluted. Meanwhile, the analysis of hematological profile of wader fish in terms of erythrocytes and hemoglobin were below than the recommended value, leukocytes were normal, and micronuclei were above the standard.


2014 ◽  
Vol 42 (11) ◽  
pp. 1573-1582 ◽  
Author(s):  
Meltem Kaçıkoç ◽  
Mehmet Beyhan

1998 ◽  
Vol 38 (10) ◽  
pp. 165-172 ◽  
Author(s):  
Ruochuan Gu ◽  
Mei Dong

The conventional method for waste load allocations (WLA) employs spatial-differentiation, considering individual point sources, and temporal-integration, using a constant flow, typically 7Q10 low flow. This paper presents a watershed-based seasonal management approach, in which non-point source as well as point sources are incorporated, seasonal design flows are used for water quality analysis, and WLA are performend in a watershed scale. The strategy for surface water quality modeling in the watershed-based approach is described. The concept of seasonal discharge management is discussed and suggested for the watershed-based approach. A case study using the method for the Des Moines River, Iowa, USA is conducted. Modeling considerations and procedure are presented. The significance of non-point source pollutant load and its impact on water quality of the river is evaluated by analyzing field data. A water quality model is selected and validated against field measurements. The model is applied to projections of future water quality situations under different watershed management and water quality control scenarios with respect to river flow and pollutant loading rate.


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