scholarly journals Progress on water data integration and distribution: a summary of select US Geological Survey data systems

2015 ◽  
Vol 18 (2) ◽  
pp. 226-237 ◽  
Author(s):  
David Blodgett ◽  
Jessica Lucido ◽  
James Kreft
Keyword(s):  
Design Patterns ◽  
Open Water ◽  
Lessons Learned ◽  
Geological Survey ◽  
Quality Data ◽  
Web Pages ◽  
Data Systems ◽  
Water Quality Data ◽  
Data Infrastructure ◽  
The Status

Critical water-resources issues ranging from flood response to water scarcity make access to integrated water information, services, tools, and models essential. Since 1995 when the first water data web pages went online, the US Geological Survey has been at the forefront of water data distribution and integration. Today, real-time and historical streamflow observations are available via web pages and a variety of web service interfaces. The Survey has built partnerships with Federal and State agencies to integrate hydrologic data providing continuous observations of surface and groundwater, temporally discrete water-quality data, groundwater well logs, aquatic biology data, water availability and use information, and tools to help characterize the landscape for modeling. In this paper, we summarize the status and design patterns implemented for selected data systems. We describe how these systems contribute to a US Federal Open Water Data Initiative and present some gaps and lessons learned that apply to global hydroinformatics data infrastructure.

Effective Monitoring Strategies for Demonstrating Water Quality Changes from Nonpoint Source Controls on a Watershed Scale

1993 ◽  
Vol 28 (3-5) ◽  
pp. 143-148 ◽  
Author(s):  
Jean Spooner ◽  
Daniel E. Line
Keyword(s):  
Water Quality ◽  
Management Practice ◽  
Nonpoint Source ◽  
Lessons Learned ◽  
Quality Data ◽  
Experimental Program ◽  
Quality Changes ◽  
Water Quality Data ◽  
Treatment Implementation ◽  
Land Treatment

Demonstrating water quality improvements from nonpoint source (NPS) controls by monitoring both land treatment and water quality in at least a subset of watershed projects is necessary to provide feedback to project coordinators Feedback to regional and national policy makers is also essential to achieve political and economic support for NPS control programs. To meet this objective, two challenges must be met in designing the monitoring network and analyzing the data: (1) Detecting significant (or real) trends in both water quality and land treatment implementation and (2) Associating water quality trends with land treatment trends. Land treatment and water quality monitoring requirements for meeting these challenges are discussed based on lessons learned from the Rural Clean Water Program, a 10-15 year experimental program designed to control agricultural NPS pollution in rural watersheds. At minimum, monitoring of land treatment and water quality should be multi-year before and after best management practice (BMP) implementation. The paired watershed design is the best for documenting BMP effectiveness in the shortest number of years (a minimum of 3-5 years). The water quality and land treatment data bases should be temporally related. All significant sources of variability in the land treatment and water quality data should be taken into account to increase the chances of isolating true water quality changes due to BMPs.

scholarly journals Determination of Water Quality Status at Belawan Harbour Using STORET Method

2019 ◽  
pp. 267-274
Author(s):  
Yuni Yolanda ◽  
Hefni Effendi ◽  
Bagus Sartono
Keyword(s):  
Water Quality ◽  
Quality Data ◽  
Water Quality Data ◽  
A Value ◽  
The Status ◽  
Pollutant Sources ◽  
Seawater Quality ◽  
Water Quality Status ◽  
Quality Status

The operation and development of the harbour is closely related to pollutant sources in the waters, especially the waters of the Belawan Harbour in Medan. This study aims to assess the status of water quality and determine the index of pollution in the waters. The data used in this study are water quality data from the Medan Harbour's environmental management monitoring and reharbouring book in 4 (four) years during 2015 to 2018. Methods for determining the level of water quality status using the STORET method (Water Quality Data Retention and Retrieval System) and compared to the quality standards of Environmental Decree from Republic Indonesia Number 51 of 2004. Based on the analysis of the testing of 14 seawater sampling points around the waters of harbour, results of measurements of seawater quality in physics, chemistry and biology were varied. The level of pollution of the waters of Belawan Harbour shows the results of analysis that the waters of the Belawan Harbour are in the moderate polluting class with a value of -12 to -19, while 1 (one) station is in the light polluted class with a value of -10.

scholarly journals Using Integrated Data to Design and Support Pay For Success Interventions

2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Claudia Coulton ◽  
Meghan Salas Atwell ◽  
Francisca Richter ◽  
Elizabeth Anthony
Keyword(s):  
Program Implementation ◽  
Risk Sharing ◽  
Service Providers ◽  
Controlled Trial ◽  
Lessons Learned ◽  
Quality Data ◽  
County Level ◽  
Data Systems ◽  
High Quality ◽  
The Public

Pay for Success (PFS) interventions are increasingly being implemented in the U.S. and worldwide to assess social programs under a risk-sharing financial agreement between the public and private sectors. They seek to mitigate risk for the public sector and promote wider experimentation of programs to improve social outcomes.  PFS contracts encourage coordination and alignment of goals, outcomes, and metrics across all agents involved - government, service providers, service recipients, funders and investors. Accordingly, these interventions rely heavily on access to high quality data and analysis, making integrated data systems (IDS) valuable assets to support the design, implementation, and evaluation phases of these projects.   The ChildHood Integrated Longitudinal Data (CHILD) System, one of the most comprehensive county-level IDS in the nation, has been used to support and inform two Pay for Success projects in Cuyahoga County (Cleveland). Partnering for Family Success is a county-level intervention in the areas of child welfare and housing instability, now into its fourth year of operation. While the intervention was implemented under a randomized controlled trial, analysis with CHILD proved instrumental to inform the project design and address challenges in program implementation. CHILD has also been used to study the feasibility of PFS as a model to expand high quality preschool, under a grant awarded to eight communities nationally. A case study of both initiatives will be presented, highlighting the role of integrated data in supporting and facilitating PFS design and analysis of outcomes, challenges encountered and lessons learned.

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