Assessing Roadway Contributions to Stormwater Flows, Concentrations, and Loads with the StreamStats Application

Author(s):  
Adam J. Stonewall ◽  
Gregory E. Granato ◽  
Tana L. Haluska

The Oregon Department of Transportation (ODOT) and other state departments of transportation need quantitative information about the percentages of different land cover categories above any given stream crossing in the state to assess and address roadway contributions to water-quality impairments and resulting total maximum daily loads. The U.S. Geological Survey, in cooperation with ODOT and the FHWA, added roadway and land cover information to the online StreamStats application to facilitate analysis of stormwater runoff contributions from different land covers. Analysis of 25 delineated basins with drainage areas of about 100 mi2 indicates the diversity of land covers in the Willamette Valley, Oregon. On average, agricultural, developed, and undeveloped land covers comprise 15%, 2.3%, and 82% of these basin areas. On average, these basins contained about 10 mi of state highways and 222 mi of non-state roads. The Stochastic Empirical Loading and Dilution Model was used with available water-quality data to simulate long-term yields of total phosphorus from highways, non-highway roadways, and agricultural, developed, and undeveloped areas. These yields were applied to land cover areas obtained from StreamStats for the Willamette River above Wilsonville, Oregon. This analysis indicated that highway yields were larger than yields from other land covers because highway runoff concentrations were higher than other land covers and the highway is fully impervious. However, the total highway area was a fraction of the other land covers. Accordingly, highway runoff mitigation measures can be effective for managing water quality locally, they may have limited effect on achieving basin-wide stormwater reduction goals.

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mochamad A. Pratama ◽  
Yan D. Immanuel ◽  
Dwinanti R. Marthanty

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.


2018 ◽  
Vol 7 (3.14) ◽  
pp. 155 ◽  
Author(s):  
Mohd Ekhwan Toriman ◽  
Hassan Mohammed Ali Alssgeer ◽  
Muhammad Barzani Gasim ◽  
Khairul Amri Kamarudin ◽  
Mabroka Mohamed Daw ◽  
...  

The impact of land use change on water quality of Nerus River Kuala Terengganu is an event that needs to be taken seriously in this study. The objectives of the study area are to carried out 13 parameters water quality samplings and analysis of Nerus River as well as to classify water quality concentration based on NWQS and WQI classifications; to interpret 2000 and 2013 land use/land cover maps of Nerus River Basin and to evaluate water quality data by statistical technique such as similarities and dissimilarities between sampling stations to determine pollution sources. Methods that were used in study area GIS will use to classify land cover/land use changes in the catchment between 2000 and 2013 land use maps. Water quality analysis and monitoring were done based on three sampling stations during both dry and wet seasons, involving analysis 13 water quality parameters. Water quality classification is using the National Water Quality Standard (NWQS) and the Water Quality Index (WQI). Statistical analysis such as similarities and dissimilarities between sampling stations was applied. Results of the study show that the river was classified as class II (slightly polluted), III (moderately polluted) in accordance with previous studies.  


2013 ◽  
Vol 45 (3) ◽  
pp. 441-454 ◽  
Author(s):  
Eva Skarbøvik ◽  
Per Stålnacke ◽  
Øyvind Kaste ◽  
Kari Austnes

This assessment of nine river catchments in Norway covers 20 years (1990–2009) of water quality data on total phosphorus (TP), orthophosphate, total nitrogen (TN), ammonium, nitrate, copper, zinc, cadmium, lead and nickel. The nine catchments are located from the south to the north of the country and are included in the Riverine Inputs and Direct Discharges (RID) programme of the OSPAR Commission for Protection of the Marine Environment of the North-East Atlantic. The partial Mann–Kendall test was used to evaluate long-term monotonic trends. For both TP and TN, decreasing trends (p < 5%) were found in three out of nine rivers under study. Downward trends in riverine metal loads were found in 23 of 45 tests. Only one significant increasing trend in nutrient loads was found, and there were no upwards trends in metal loads. To some extent, the trends in riverine loads could be explained by trends in discharges from point sources. Even after taking potential sources of error into consideration, these results indicate that mitigation measures implemented since 1990 to reduce pressures from point sources have had an impact on water quality in Norwegian rivers.


2021 ◽  
Vol 14 (1) ◽  
pp. 372
Author(s):  
John Peter Obubu ◽  
Seyoum Mengistou ◽  
Robinson Odong ◽  
Tadesse Fetahi ◽  
Tena Alamirew

Catchments for aquatic ecosystems connect to the water quality of those waterbodies. Land use land cover change activities in the catchments, therefore, play a significant role in determining the water quality of the waterbodies. Research on the relationship between land use and land cover changes and water quality has gained global prominence. Therefore, this study aimed at determining land use, land cover changes in the catchments of L. Kyoga basin, and assessing their connectedness to the lake’s water quality. The GIS software was used to determine eight major land use and land cover changes for 2000, 2010, and 2020. Meanwhile, water quality data was obtained through both secondary and primary sources. Spearman correlation statistical tool in SPSS was used to correlate the land use, land cover changes, and water quality changes over the two-decade study period. The results showed that different land use and land cover activities strongly correlated with particular water quality parameters. For example, agriculture correlated strongly with nutrients like TP, TN, and nitrates and turbidity, TSS, BOD, and temp. The correlation with nitrates was statistically significant at 0.01 confidence limit. The findings of this study agreed with what other authors had found in different parts of the world. The results show that to manage the water quality of L. Kyoga, management of land use, land cover activities in the catchment should be prioritized. Therefore, the results are helpful to decision and policy makers and relevant stakeholders responsible for water management.


2021 ◽  
Author(s):  
Mohammed-Aslam Mohammad AbdulKhader ◽  
Reshma Sisupalan Rema

Abstract The linkage between the land use/land cover (LULC) pattern and water quality is an emerging topic in multidisciplinary research. The LULC changes affect water quality in many ways. Change in the land use/land cover, especially urbanization leads to water quality deterioration. This study mainly focuses on the water quality in parts of the river Karamana, which flows through the Thiruvananthapuram urban area. The water quality parameters of six selected sites within the urban area were obtained. Physico-chemical and biological parameters of water quality were analysed for 2019 (pre-monsoon, monsoon, and post-monsoon). The water quality data obtained during the present study were used to characterize the built-up and other areas. Results have shown a distinct variation of parameters in the upstream region (less built-up) than that of the urban area (more built-up). The results have clearly demonstrated the indication of the effect of urbanization on water resources. The speedy development of urban built-up in Thiruvananthapuram city causing severe issues to the water regime in terms of its quality. The data shows that the water quality is poor in the pre-monsoon period in most of the areas. Though the worsening of water quality is limited to a few localized zones, the trend of the quality change is serious. It needs the attention and proper consideration of policy planners and decision-makers. Adequate effluent treatment facilities in the urban regions is the need of the hour to minimize pollution.


2011 ◽  
Vol 2 (1) ◽  
pp. 12-21
Author(s):  
Jo Ellen Hinck ◽  
Kimberly Chojnacki ◽  
Susan Finger ◽  
Greg Linder ◽  
Kevin Kilbride

Abstract Many National Wildlife Refuges (Refuges) have impaired water quality resulting from historic and current land uses, upstream sources, and aerial pollutant deposition. Competing duties limit the time available for Refuge staff to identify and evaluate potential water quality issues. As a result, water quality–related issues may not be resolved until a problem has already arisen. This study developed a geospatial approach for identifying and prioritizing water quality issues affecting natural resources (including migratory birds and federally listed species) within Refuge boundaries. We assessed the location and status of streams pursuant to the Clean Water Act in relation to individual Refuges in Oregon and Washington, United States. Although twelve Refuges in Oregon (60%) and eight Refuges in Washington (40%) were assessed under the Clean Water Act, only 12% and 3% of total Refuge stream lengths were assessed, respectively. Very few assessed Refuge streams were not designated as impaired (0% in Oregon, 1% in Washington). Despite the low proportions of stream lengths assessed, most Refuges in Oregon (70%) and Washington (65%) are located in watersheds with approved total maximum daily loads. We developed summaries of current water quality issues for individual Refuges and identified large gaps for Refuge-specific water quality data and habitat utilization by sensitive species. We conclude that monitoring is warranted on many Refuges to better characterize water quality under the Clean Water Act.


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