Water quality modelling

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Water quality modeling involves water quality based data using mathematical simulation techniques. Water quality modeling helps people understand the eminence of water quality issues and models provide evidence for policy makers to make decisions in order to properly mitigate water. [1] Water quality modeling also helps determine correlations to constituent sources and water quality along with identifying information gaps. [2] Due to the increase in freshwater usage among people, water quality modeling is especially relevant [3] both in a local level and global level. In order to understand and predict the changes over time in water scarcity, climate change, and the economic factor of water resources, [1] water quality models would need sufficient data by including water bodies from both local and global levels.

Contents

A typical water quality model consists of a collection of formulations representing physical mechanisms that determine position and momentum of pollutants in a water body. [4] Models are available for individual components of the hydrological system such as surface runoff; [5] there also exist basin wide models addressing hydrologic transport and for ocean and estuarine applications. Often finite difference methods are used to analyze these phenomena, and, almost always, large complex computer models are required. [6]

Building A Model

Water quality models have different information, but generally have the same purpose, which is to provide evidentiary support of water issues. Models can be either deterministic or statistical depending on the scale with the base model, [2] which is dependent on if the area is on a local, regional, or a global scale. Another aspect to consider for a model is what needs to be understood or predicted about that research area along with setting up any parameters to define the research. Another aspect of building a water quality model is knowing the audience and the exact purpose for presenting data like to enhance water quality management [7] for water quality law makers for the best possible outcomes.  

Formulations and associated Constants

Water quality is modeled by one or more of the following formulations

SPARROW Models

A SPARROW model is a SPAtially-Referenced Regression on Watershed attributes, which helps integrate water quality data with landscape information. [2] More specifically the USGS used this model to display long-term changes within watersheds to further explain in-stream water measurement in relation to upstream sources, water quality, and watershed properties. These models predict data for various spatial scales and integrate streamflow data with water quality at numerous locations across the US. [2] A SPARROW model used by the USGS focused on the nutrients in the Nation's major rivers and estuaries; this model helped create a better understanding of where nutrients come from, where they are transported to while in the water bodies, and where they end up (reservoirs, other estuaries, etc.). [2]

See also

Related Research Articles

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Hydrology is the scientific study of the movement, distribution, and management of water on Earth and other planets, including the water cycle, water resources, and environmental watershed sustainability. A practitioner of hydrology is called a hydrologist. Hydrologists are scientists studying earth or environmental science, civil or environmental engineering, and physical geography. Using various analytical methods and scientific techniques, they collect and analyze data to help solve water related problems such as environmental preservation, natural disasters, and water management.

<span class="mw-page-title-main">Drainage basin</span> Area of land where precipitation collects and drains off into a common outlet

A drainage basin is an area of land where all flowing surface water converges to a single point, such as a river mouth, or flows into another body of water, such as a lake or ocean. A basin is separated from adjacent basins by a perimeter, the drainage divide, made up of a succession of elevated features, such as ridges and hills. A basin may consist of smaller basins that merge at river confluences, forming a hierarchical pattern.

<span class="mw-page-title-main">Ecohydrology</span>

Ecohydrology is an interdisciplinary scientific field studying the interactions between water and ecological systems. It is considered a sub discipline of hydrology, with an ecological focus. These interactions may take place within water bodies, such as rivers and lakes, or on land, in forests, deserts, and other terrestrial ecosystems. Areas of research in ecohydrology include transpiration and plant water use, adaption of organisms to their water environment, influence of vegetation and benthic plants on stream flow and function, and feedbacks between ecological processes, the soil carbon sponge and the hydrological cycle.

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<span class="mw-page-title-main">Rain garden</span> Runoff reducing landscaping method

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<span class="mw-page-title-main">Nonpoint source pollution</span> Pollution resulting from multiple sources

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<span class="mw-page-title-main">Surface runoff</span> Flow of excess rainwater not infiltrating in the ground over its surface

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<span class="mw-page-title-main">DSSAM Model</span> Water quality computer simulation

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<span class="mw-page-title-main">Hydrological transport model</span>

An hydrological transport model is a mathematical model used to simulate the flow of rivers, streams, groundwater movement or drainage front displacement, and calculate water quality parameters. These models generally came into use in the 1960s and 1970s when demand for numerical forecasting of water quality and drainage was driven by environmental legislation, and at a similar time widespread access to significant computer power became available. Much of the original model development took place in the United States and United Kingdom, but today these models are refined and used worldwide.

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<span class="mw-page-title-main">Chesapeake Bay Program</span> Organization implementing a plan to remediate ecosystem damage

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<span class="mw-page-title-main">MapWindow GIS</span> Open-source GIS desktop application

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<span class="mw-page-title-main">Conservation Effects Assessment Project</span> United States government project

The Conservation Effects Assessment Project (CEAP) was established in 2002 to quantify the environmental impact of the United States Department of Agriculture's (USDA) conservation program. The project focuses on how watersheds are affected. CEAP monitored 14 benchmark watershed sites. The CEAP's vision is to enhance "natural resources and healthier ecosystems through improved conservation effectiveness and better management of agricultural landscapes. The goal is "to improve efficacy of conservations practices and programs by quantifying conservation effects and providing the science and education base needed to enrich conservation planning, implementation, management decisions, and policy."

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<span class="mw-page-title-main">Mississippi River Watershed Conservation Programs</span>

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<span class="mw-page-title-main">Low-impact development (U.S. and Canada)</span>

Low-impact development (LID) is a term used in Canada and the United States to describe a land planning and engineering design approach to manage stormwater runoff as part of green infrastructure. LID emphasizes conservation and use of on-site natural features to protect water quality. This approach implements engineered small-scale hydrologic controls to replicate the pre-development hydrologic regime of watersheds through infiltrating, filtering, storing, evaporating, and detaining runoff close to its source. Green infrastructure investments are one approach that often yields multiple benefits and builds city resilience.

References

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  2. 1 2 3 4 5 Preston, S.D. "SPARROW MODELING—Enhancing Understanding of the Nation's Water Quality". USGS via US Dep of Interior.
  3. Bozorg-Haddad, Omid; Soleimani, Shima; Loáiciga, Hugo A. (July 2017). "Modeling Water-Quality Parameters Using Genetic Algorithm–Least Squares Support Vector Regression and Genetic Programming". Journal of Environmental Engineering. 143 (7): 04017021. doi:10.1061/(ASCE)EE.1943-7870.0001217. ISSN   0733-9372.
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