Application of regional flow-ecology relationships to inform watershed management decisions: Application of the ELOHA framework in the San Diego River watershed, California, USA

Ecohydrology ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. e1869 ◽  
Author(s):  
Eric D. Stein ◽  
Ashmita Sengupta ◽  
Raphael D. Mazor ◽  
Kenny McCune ◽  
Brian P. Bledsoe ◽  
...  
Keyword(s):  
Watershed Management ◽  
San Diego ◽  
Management Decisions ◽  
River Watershed ◽  
Regional Flow

ROUGE RIVER WATERSHED MANAGEMENT PLANNING THE MAIN 3–4 SUBWATERSHED PLAN

2002 ◽  
Vol 2002 (2) ◽  
pp. 1053-1078
Author(s):  
Kelly A. Cave ◽  
Nancy J. Andrews ◽  
James W. Ridgway
Keyword(s):  
Watershed Management ◽  
Management Planning ◽  
River Watershed ◽  
Rouge River

Timely Decision Support for Watershed Management with WEPPcloud

2021 ◽  
Author(s):  
Erin Brooks ◽  
Mariana Dobre ◽  
Roger Lew ◽  
Chinmay Deval ◽  
Anurag Srivastava ◽  
...  
Keyword(s):  
Decision Support ◽  
Soil Erosion ◽  
Real Time ◽  
Watershed Management ◽  
Multiple Scales ◽  
Data Retrieval ◽  
Climatic Data ◽  
Watershed Model ◽  
Management Decisions ◽  
Erosion Models

<p>Since the development and availability of GIS-based software and satellite imagery, there has been a vision that watershed managers would have near-real-time, three-dimensional hydrologic and soil erosion models that could easily assess impacts of watershed management decisions at high spatial resolutions across multiple scales.  Our research team has made significant advances to address this challenging problem especially in the forest environment. The technology and data retrieval and access has dramatically improved to the point where it is possible to provide useful, near-real-time, geospatial decision support for watershed managers.  This talk describes an online watershed model called WEPPcloud, widely used by the Forest Service and one of the FSWEPP suite of watershed tools, which is based fundamentally on a process-based hydrologic, soil erosion model (WEPP, Water Erosion Prediction Project).  WEPPcloud is driven by discoverable, data-rich geospatial mapping products (e.g. soils, topography, satellite-based vegetation characteristics) and management libraries. It accesses daily grid-based historical and future projected climatic data to provide a comprehensive spatially and temporally explicit assessment of the impacts of management decisions on hydrologic response and sediment transport.  Currently, WEPPcloud can be applied throughout the continental US, and beta versions are available for Australia and Europe. We will demonstrate this tools’ development and application to guide pre-fire fuel management and post-fire mitigation, flood risk for communities where drinking water supplies and water resources are vulnerable to wildfire. We will discuss the ongoing limitations, challenges and opportunities towards more fully incorporating geospatial hydrologic and soil erosion models into watershed management decisions.</p>

Preliminary identification of watershed management strategies for the Houjing river in Taiwan

2010 ◽  
Vol 62 (7) ◽  
pp. 1667-1675 ◽  
Author(s):  
C. E. Lin ◽  
C. M. Kao ◽  
C. J. Jou ◽  
Y. C. Lai ◽  
C. Y. Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Point Source ◽  
Watershed Management ◽  
Carrying Capacity ◽  
Pollution Control ◽  
Point Source Pollution ◽  
Land Use Patterns ◽  
River Watershed ◽  
Use Patterns

The Houjing River watershed is one of the three major river watersheds in the Kaohsiung City, Taiwan. Based on the recent water quality analysis, the Houjing River is heavily polluted. Both point and non-point source (NPS) pollutants are the major causes of the poor water quality in the Houjing River. Investigation results demonstrate that the main point pollution sources included municipal, agricultural, and industrial wastewaters. In this study, land use identification in the Houjing River watershed was performed by integrating the skills of geographic information system (GIS) and global positioning system (GPS). Results show that the major land-use patterns in the upper catchment of the Houjing River watershed were farmlands, and land-use patterns in the mid to lower catchment were residential and industrial areas. An integrated watershed management model (IWMM) and Enhanced Stream Water Quality Model (QUAL2K) were applied for the hydrology and water quality modeling, watershed management, and carrying capacity calculation. Modeling results show that the calculated NH3-N carrying capacity of the Houjing River was only 31 kg/day. Thus, more than 10,518 kg/day of NH3-N needs to be reduced to meet the proposed water quality standard (0.3 mg/L). To improve the river water quality, the following remedial strategies have been developed to minimize the impacts of NPS and point source pollution on the river water quality: (1) application of BMPs [e.g. source (fertilizer) reduction, construction of grassy buffer zone, and land use management] for NPS pollution control; (2) application of river management scenarios (e.g. construction of the intercepting and sewer systems) for point source pollution control; (3) institutional control (enforcement of the industrial wastewater discharge standards), and (4) application of on-site wastewater treatment systems for the polishment of treated wastewater for water reuse.

scholarly journals Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study

2005 ◽  
Vol 7 (4) ◽  
pp. 267-282 ◽  
Author(s):  
Daniel P. Ames ◽  
Bethany T. Neilson ◽  
David K. Stevens ◽  
Upmanu Lall
Keyword(s):  
Bayesian Networks ◽  
Watershed Management ◽  
Graphical Model ◽  
Probability Distributions ◽  
Management Decisions ◽  
Management Scenarios ◽  
Northern Utah ◽  
Key Variables ◽  
Recreational Use

An approach to developing and using Bayesian networks to model watershed management decisions is presented with a case study application to phosphorus management in the East Canyon watershed in Northern Utah, USA. The Bayesian network analysis includes a graphical model of the key variables in the system and conditional and marginal probability distributions derived from a variety of data and information sources. The resulting model is used to 1) estimate the probability of meeting legal water quality requirements for phosphorus in East Canyon Creek under several management scenarios and 2) estimate the probability of increased recreational use of East Canyon Reservoir and subsequent revenue under these scenarios.

Empirical appraisal of Jiulong River Watershed Management Program

2013 ◽  
Vol 81 ◽  
pp. 77-89 ◽  
Author(s):  
Benrong Peng ◽  
Nengwang Chen ◽  
Hui Lin ◽  
Huasheng Hong
Keyword(s):  
Watershed Management ◽  
Management Program ◽  
Jiulong River ◽  
River Watershed ◽  
Jiulong River Watershed
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