Assimilative capacity and water quality modeling of rivers: a review

Darji, Jalpa; Lodha, Pradeep; Tyagi, Sanjiv

doi:10.2166/aqua.2022.063

Cited by 9 publications

(4 citation statements)

References 75 publications

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“…The water institutions and their experts were also evaluated in relation to their access and expertise to operate in-stream models (see the supporting information). Given poor financial resources in developing countries, the users have been evaluated as to whether they have access to modeling tools and have the necessary skills and infrastructure at their institutions (Darji et al, 2022). Accordingly, availability of monitoring stations; level of training of the person performing the modeling (knowledge and skills); and infrastructure (database facility) of seven institutions were evaluated (Table 1).…”

Section: Institutions' Competency and Access To Water Quality Modelingmentioning

confidence: 99%

Evaluating the structures and arrangements of water institutions to include in‐stream modeling for water quality management and control pollution: Insights from the Awash Basin, Ethiopia

Zinabu,

Alamirew,

Whitehead

et al. 2024

World Water Policy

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Healthy rivers and stream waters support sustainable use and protect the ecological health of water flows. Developing countries rarely include in‐stream water quality modeling in their strategic policy documents. In the sub‐Saharan regions, stream water quality is declining due to many human activities. Ethiopian is no different, and its environmental policy does not directly target the importance of impact and planning analyses. Also, it does not include decision making processes for the protection of water ecology and multiple water uses. In this study, stream water quality issues in the Awash Basin have been assessed. The key sources of land‐based pollutants have been identified, and the availability and appropriateness related data have been examined and evaluated as well as the capacity of model users of institutions. Applicable models with the capability of simulating the Awash streams are presented and the changes needed for the existing settings suggested. The model selection was undertaken using a set of criteria based on environmental assumptions to enable environmental improvement into the future. The available hydrological and monitoring information provides an opportunity to apply model analyses, while the poor capacity of the governmental model users is of concern. With limited supporting conditions in governmental water institutions, the level of in‐stream water quality modeling integration in the Awash Basin development plans is too low to make recommendations based on key areas of support. It is time to apply and capitalize on the potential opportunity of using the models in local, regional, and national institutions for planning and impact analyses and strategic policy documents. The methods described in this study can be a guidance for model practitioners of the Awash basin targeting improvement in their institutions.

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Section: Institutions' Competency and Access To Water Quality Modelingmentioning

confidence: 99%

Evaluating the structures and arrangements of water institutions to include in‐stream modeling for water quality management and control pollution: Insights from the Awash Basin, Ethiopia

Zinabu,

Alamirew,

Whitehead

et al. 2024

World Water Policy

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“…The dispersion of salinity is influenced by the hydraulic regime and highly dependent on estuary morphology. In the hydraulic module, HEC-RAS solves the following 1-D continuity and momentum equations, known as the Saint-Venant equations [21,[50][51][52][53].…”

Section: Hydraulic Simulationmentioning

confidence: 99%

Salinity Intrusion Trends under the Impacts of Upstream Discharge and Sea Level Rise along the Co Chien River and Hau River in the Vietnamese Mekong Delta

Thanh

Van

Minh

et al. 2023

Climate

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A one-dimensional hydraulic HEC-RAS model was developed to forecast the change in salinity in the tributaries of the Co Chien and Hau Rivers in Tra Vinh province, Vietnam. The boundary data includes river discharge at Can Tho and My Thuan, water levels, and salinity at coastal monitoring stations. Six monitoring stations along the Co Chien River and Hau River were selected to study salinity changes. Four scenarios for the period 2020–2050 were selected, including SLR17, SLR22, SLR26L, and SLR26H, corresponding to sea level rise (17, 22, and 26 cm) and upstream river discharge decrease (in the ranges of 100–128% and 80–117% at Can Tho and My Thuan, respectively) in the dry season based on new climate change scenarios in Vietnam and previous studies. The results highlight that when the average discharge at Can Tho and My Thuan reduces, the salinity increases more significantly than the impact of sea level rise. Salinity at the monitoring stations in Tra Vinh province is projected to increase within the ranges of 4–21% and 3–29% along the Co Chien River and Hau River, respectively. In addition, sea level rise is seen to affect the discharge distribution into the Co Chien River. It suggests an urgent need to raise farmers’ awareness of climate change adaptation, investment in production equipment, and appropriate regulation of riverbed mining and activities upstream in the Mekong River.

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“…It is (the United States Environmental Protection Agency) US EPA's official model and is used in several research works to verify the self-depuration of rivers, such as in Brazil [19,20] and other countries, such as the United States of America (USA) [21], Iran [22], and Ethiopia [23]. In addition, it has been shown to be advantageous over other models for a complex river system [24].…”

Section: Introductionmentioning

confidence: 99%

Water Quality Simulation in the Bois River, Goiás, Central Brazil

2023

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The Cerrado is a hotspot for biodiversity conservation and holds the headwater springs that are major Brazilian river basins. The development of industry, agriculture, and mining causes water quality deterioration. Mathematical models appear as a management tool to simulate water quality parameters and the dispersion of pollutants in water bodies. Thus, this study aimed to evaluate the behavior of dissolved oxygen (DO) and other parameters through the QUAL2Kw (Stream Water Quality Model) model in a river in the Brazilian Cerrado. Complementary data were obtained in four experimental measurement campaigns. The calibration results showed a good fit, especially for the DO. The most critical situation occurred in October, where DO remained below 5 mg/L for a long stretch, and the ammoniacal nitrogen (NH4) and biochemical oxygen demand (BOD) presented non-compliance concerning the legal Brazilian requirements. In all campaigns, BOD remained above 5 mg/L for at least 5 km in length, disagreeing with the legislation for exceeding the distance from the mixing zone. The uncertainty analysis for the DO confirmed the critical scenario of October, and the sensitivity analysis by the Monte Carlo Simulation showed the significance of the reaeration coefficient for DO. Thus, it is concluded that the QUAL2Kw model proved dependable for the simulation of point launches in the Bois River, supplying a good fit in the calibration act. Because BOD does not meet the legal requirements in all samplings, the water use of the downstream population may be impaired by the activities found in the basin. Activities such as sand extraction, tanneries, and other food industries increase the organic burden of waterbodies and, therefore, require greater environmental inspections.

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Assimilative capacity and water quality modeling of rivers: a review

Cited by 9 publications

References 75 publications

Evaluating the structures and arrangements of water institutions to include in‐stream modeling for water quality management and control pollution: Insights from the Awash Basin, Ethiopia

Evaluating the structures and arrangements of water institutions to include in‐stream modeling for water quality management and control pollution: Insights from the Awash Basin, Ethiopia

Salinity Intrusion Trends under the Impacts of Upstream Discharge and Sea Level Rise along the Co Chien River and Hau River in the Vietnamese Mekong Delta

Water Quality Simulation in the Bois River, Goiás, Central Brazil

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