Watershed Analysis and Restoration in the Siuslaw River, Oregon, USA

This paper presents the methodology and application underlying the Kinneret Watershed Analysis Tool (KWAT), developed for flow and contaminant predictions for Lake Kinneret (the Sea of Galilee) watershed located in northern Israel. Lake Kinneret watershed is about 2,730 km2 (2,070 in Israel, the rest in Lebanon), inhabited by about 200,000 people organized in 25 municipalities, and three cities (the Israeli part). The model aims to predict flow and contaminant transports within the watershed, down to its outlet – Lake Kinneret, the most important surface water resource in Israel. The model is comprised of two sections: quantity and quality. The objective of the quantity section is to tune the values of a vector of coefficients α that multiply the average rainfall time series intensity I(t) (the input) imposed on given sub-sets (i.e., cells) of the basin so as to calibrate their outlet flows Q(t); the quality section then uses these optimal flows Q(t) and the effective optimal rainfall intensities to adjust the values of a vector of coefficients β so as to calibrate the sub-watersheds outlet concentrations C(t). The model uses decision trees coupled with a genetic algorithm for optimally tuning the KWAT coefficients for each of the watershed cells, which taken together comprise the flow and contamination amounts measured at the watershed outlet.

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Software Integration for Watershed Studies: Hydrologic Engineering Center's Watershed Analysis Tool (HEC-WAT)

Impacts of Global Climate Change ◽

10.1061/40792(173)490 ◽

2005 ◽

Author(s):

Christopher N. Dunn ◽

Gary W. Brunner ◽

Jeff Harris

Keyword(s):

Analysis Tool ◽

Software Integration ◽

Watershed Analysis

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A COMPARISON OF FISH POPULATION AND HABITAT UNDERSTANDING FROM THREE LEVELS OF WATERSHED ANALYSIS INTENSITY

Proceedings of the Water Environment Federation ◽

10.2175/193864700785149521 ◽

2000 ◽

Vol 2000 (6) ◽

pp. 1056-1070

Author(s):

R. J. Danehy ◽

C. H. Casipit ◽

N. H. Ringler ◽

J. L. Stark

Keyword(s):

Fish Population ◽

Watershed Analysis

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Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa

10.31223/x5wk8c ◽

2021 ◽

Author(s):

Muneeb Shahid ◽

Yusuf Sermet ◽

Ibrahim Demir

Keyword(s):

Data Processing ◽

Web Application ◽

Large Scale ◽

Flow Direction ◽

Geospatial Data ◽

The Internet ◽

Raster Data ◽

Watershed Analysis ◽

Client Side

Geographic Information Systems (GIS) are available as stand-alone desktop applications as well as web platforms for vector- and raster-based geospatial data processing and visualization. While each approach offers certain advantages, limitations exist that motivate the development of hybrid systems that will increase the productivity of users for performing interactive data analytics using multidimensional gridded data. Web-based applications are platform-independent, however, require the internet to communicate with servers for data management and processing which raises issues for performance, data integrity, handling, and transfer of massive multidimensional raster data. On the other hand, stand-alone desktop applications can usually function without relying on the internet, however, they are platform-dependent, making distribution and maintenance of these systems difficult. This paper presents RasterJS, a hybrid client-side web library for geospatial data processing that is built on the Progressive Web Application (PWA) architecture to operate seamlessly in both Online and Offline modes. A packaged version of this system is also presented with the help of Web Bundles API for offline access and distribution. RasterJS entails the use of latest web technologies that are supported by modern web browsers, including Service Workers API, Cache API, IndexedDB API, Notifications API, Push API, and Web Workers API, in order to bring geospatial analytics capabilities to large-scale raster data for client-side processing. Each of these technologies acts as a component in the RasterJS to collectively provide a similar experience to users in both Online and Offline modes in terms of performing geospatial analysis activities such as flow direction calculation with hydro-conditioning, raindrop flow tracking, and watershed delineation. A large-scale case study is included in the study for watershed analysis to demonstrate the capabilities and limitations of the library. The framework further presents the potential to be utilized for other use cases that rely on raster processing, including land use, agriculture, soil erosion, transportation, and population studies.

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