scholarly journals Effect of Urban Stormwater Road Runoff of Different Land Use Types on an Urban River in Shenzhen, China

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2545 ◽  
Author(s):  
Yang Liu ◽  
Chunyi Wang ◽  
Yang Yu ◽  
Yongyu Chen ◽  
Longfei Du ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Stormwater Runoff ◽  
Urban River ◽  
Water Bodies ◽  
First Flush ◽  
Road Runoff ◽  
Urban Stormwater ◽  
Land Use Types ◽  
Receiving Water

Urban storm runoff is a major source of pollutants in receiving water bodies. To assess the impact of urban stormwater runoff on an urban river, the runoff process of total suspended solids (TSS), chemical oxygen demand (COD), ammonium (NH4), and total phosphorus (TP) were investigated on road surfaces classified as arterial road (AR), residential area (RA), and industrial area (IA) in the Pingshan River (PSR) watershed in Shenzhen, China. Event mean concentration (EMC) was calculated to analyze the water quality of road runoff, and the dimensionless M(V) cumulative curves were used to estimate the course of decreasing concentration of runoff pollutants during each rainfall event. Multicriteria decision making methods (PROMETHEE-GAIA) were used to identify the linkage between runoff pollutants, land use types, and rainfall intensity. The EMCs of COD and TP in runoff exceeded the class IV level of the water quality standard for surface water (China). RA was a major potential source for NH4, COD, and TP in the river. Controlling the first flush is critical to decrease the effect of road runoff on receiving water bodies, as most runoff pollutants in AR, RA, and IA had a first flush effect during heavy rainfall. The specific management measure for runoff pollution varied with land use type. Reducing road TSS concentrations was effective for controlling runoff pollution in AR and RA because NH4, TP, and COD attached to particulate matter. In IA, the collection and reuse of stormwater in the initial rainfall period were effective for reducing the effect of soluble pollutants in runoff on receiving water bodies. This study provides new information for managing urban road stormwater runoff in different land use types.

scholarly journals Effects of land use and water quality on greenhouse gas emissions from an urban river system

2020 ◽  
Author(s):  
Long Ho ◽  
Ruben Jerves-Cobo ◽  
Matti Barthel ◽  
Johan Six ◽  
Samuel Bode ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Urban Areas ◽  
Anthropogenic Activities ◽  
Ghg Emissions ◽  
Flow Characteristics ◽  
River System ◽  
Urban River ◽  
Polluted Water ◽  
Land Use Types

Abstract. Rivers act as a natural source of greenhouse gases (GHGs) that can be released from the metabolisms of aquatic organisms. Anthropogenic activities can largely alter the chemical composition and microbial communities of rivers, consequently affecting their GHG emissions. To investigate these impacts, we assessed the emissions of CO2, CH4, and N2O from Cuenca urban river system (Ecuador). High variation of the emissions was found among river tributaries that mainly depended on water quality and neighboring landscapes. By using Prati and Oregon Indexes, a clear pattern was observed between water quality and GHG emissions in which the more polluted the sites were, the higher were their emissions. When river water quality deteriorated from acceptable to very heavily polluted, their global warming potential (GWP) increased by ten times. Compared to the average estimated emissions from global streams, rivers with polluted water released almost double the estimated GWP while the proportion increased to ten times for very heavily polluted rivers. Conversely, the GWP of good-water-quality rivers was half of the estimated GWP. Furthermore, surrounding land-use types, i.e. urban, roads, and agriculture, significantly affected the river emissions. The GWP of the sites close to urban areas was four time higher than the GWP of the nature sites while this proportion for the sites close to roads or agricultural areas was triple and double, respectively. Lastly, by applying random forests, we identified dissolved oxygen, ammonium, and flow characteristics as the main important factors to the emissions. Conversely, low impact of organic matter and nitrate concentration suggested a higher role of nitrification than denitrification in producing N2O. These results highlighted the impacts of land-use types on the river emissions via water contamination by sewage discharges and surface runoff. Hence, to estimate of the emissions from global streams, both their quantity and water quality should be included.

scholarly journals Statistical Analysis and Review of Event Mean Concentrations in Stormwater Runoff from Agricultural Nonpoint Source Pollution among Different Land Use Types

2021 ◽  
Vol 43 (10) ◽  
pp. 664-678
Author(s):  
Hyeon Woo Go ◽  
Jin Chul Joo ◽  
Dong Hwi Lee ◽  
Chae Min Ahn ◽  
Sun Hwa Choi ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Paddy Field ◽  
Stormwater Runoff ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Land Use Types ◽  
Runoff Rate ◽  
Post Hoc ◽  
Agricultural Nonpoint Source

Objectives : In this study, the characteristics of stormwater runoff from agricultural nonpoint pollution sources investigated under various experimental conditions were evaluated among different land use types (e.g., paddy, field, field (alpine), and vinyl house), and event mean concentrations (EMCs) for each water quality parameter were statistically analyzed. These results can be used in calculating the contribution of stormwater runoff to water quality of receiving water body by performing quantitative and qualitative analysis. The unit loads calculated were compared with Ministry of Environment TMDL (2019) to secure the reliability of the calculated unit loads.Methods : EMCs and unit loads investigated in various studies were classified in terms of paddy, field, field (alpine), and vinyl house. Among various land use types, EMCs and unit loads were statistically analyzed quantitatively and qualitatively. For EMCs, a null hypothesis is that ‘EMCs of water quality parameters among different land use types are not different at a statistically significant level (α=0.05)’. Based on the results of statistical analysis, heteroscedasticity (p<0.05) and Welch-test method were consequently applied, and post hoc test was performed using the Games-Howell method. Finally, unit loads was compared and reviewed against the TMDL (2019) unit loads of the Ministry of Environment.Results and Discussion : Various EMCs in all water quality parameters were found among different land use types (i.e., paddy, field, field (alpine) and vinyl house). For most water quality parameters, EMCs tended to decrease in the order of field (alpine) > field > vinyl house > paddy. The coefficient of variance (CV) values of all water q uality parameters were 0.5 or greater. Based on these results, EMCs in agricultural nonpoint source pollution are very diverse and deviated due to the combination of natural and artificial factors. Post hoc test results indicated different statistical significance among all water quality parameters. In addition to the land use types, both natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost) affect the characteristics of stormwater runoff. In particular, in the case of field (alpine) with prominent topographical feature of slope, and EMCs were statistically greater than those from other land use types in all water quality categories (p<0.05).Conclusions : Countermeasures for field (alpine)with greater EMCs than paddy, field and vinyl house, should be performed priority. EMCs were affected by a complex interaction between natural factors (i.e., season, rainfall, antecedent rainfall day, and, rainfall runoff rate) and artificial factors (i.e., cultivator manipulation, emission route, type of crop, and amount of compost), and additional data and research are required for further study to elucidate these complex interactions.

Master planning for stream protection in urban watersheds

2005 ◽  
Vol 51 (2) ◽  
pp. 239-247 ◽  
Author(s):  
B.R. Urbonas ◽  
J.T. Doerfer
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Water Environment ◽  
Stormwater Runoff ◽  
Water Bodies ◽  
Urban Watersheds ◽  
Master Planning ◽  
Urban Watershed ◽  
Receiving Waters ◽  
Receiving Water

Urbanization results in great changes to the landscape and the water environment simply because stormwater runoff differs in quantity and quality from the pre-urbanization state. Streams, rivers, lakes, estuaries and other receiving water bodies experience the changes to runoff frequencies and volumes and react accordingly. The forces behind the observed changes in the receiving waters are discussed in this paper and suggestions are made on how to plan to deal with them. Urban watershed and waterway master planning can help to mitigate, in large part, the impacts imposed on these waters by land-use changes. Although each watershed is unique, some general principles are suggested to deal with these emergent problems.

Development of Dialog System Model for Eutrophication Control between Discharging River Basin and Receiving Water Body – Case Study of Lake Sagami (Japan)

1989 ◽  
Vol 21 (12) ◽  
pp. 1821-1824
Author(s):  
M. Suzuki ◽  
K. Chihara ◽  
M. Okada ◽  
H. Kawashima ◽  
S. Hoshino
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Expert System ◽  
River Basin ◽  
Water Body ◽  
Water Bodies ◽  
Quality Data ◽  
Pollution Load ◽  
Water Quality Data ◽  
Receiving Water

A computer program based on expert system software was developed and proposed as a prototype model for water management to control eutrophication problems in receiving water bodies (Suzuki etal., 1988). The system has several expert functions: 1. data input and estimation of pollution load generated and discharged in the river watershed; 2. estimation of pollution load run-off entering rivers; 3. estimation of water quality of receiving water bodies, such as lakes; and 4. assisting man-machine dialog operation. The program can be used with MS-DOS BASIC and assembler in a 16 bit personal computer. Five spread sheets are utilized in calculation and summation of the pollutant load, using multi-windows. Partial differential equations for an ecological model for simulation of self-purification in shallow rivers and simulation of seasonal variations of water quality in a lake were converted to computer programs and included in the expert system. The simulated results of water quality are shown on the monitor graphically. In this study, the expert system thus developed was used to estimate the present state of one typical polluted river basin. The river was the Katsura, which flows into Lake Sagami, a lake dammed for water supply. Data which had been actually measured were compared with the simulated water quality data, and good agreement was found. This type of expert system is expected to be useful for water management of a closed water body.

scholarly journals Micropollutants in Urban Stormwater Runoff of Different Land Uses

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1312
Author(s):  
Daniel Wicke ◽  
Andreas Matzinger ◽  
Hauke Sonnenberg ◽  
Nicolas Caradot ◽  
Rabea-Luisa Schubert ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Land Use ◽  
Surface Waters ◽  
Flame Retardants ◽  
Stormwater Runoff ◽  
Monitoring Program ◽  
Quality Standards ◽  
Urban Land Use ◽  
Organic Micropollutants ◽  
Land Use Types

The main aim of this study was a survey of micropollutants in stormwater runoff of Berlin (Germany) and its dependence on land-use types. In a one-year monitoring program, event mean concentrations were measured for a set of 106 parameters, including 85 organic micropollutants (e.g., flame retardants, phthalates, pesticides/biocides, polycyclic aromatic hydrocarbons (PAH)), heavy metals and standard parameters. Monitoring points were selected in five catchments of different urban land-use types, and at one urban river. We detected 77 of the 106 parameters at least once in stormwater runoff of the investigated catchment types. On average, stormwater runoff contained a mix of 24 µg L−1 organic micropollutants and 1.3 mg L−1 heavy metals. For organic micropollutants, concentrations were highest in all catchments for the plasticizer diisodecyl phthalate. Concentrations of all but five parameters showed significant differences among the five land-use types. While major roads were the dominant source of traffic-related substances such as PAH, each of the other land-use types showed the highest concentrations for some substances (e.g., flame retardants in commercial area, pesticides in catchment dominated by one family homes). Comparison with environmental quality standards (EQS) for surface waters shows that 13 micropollutants in stormwater runoff and 8 micropollutants in the receiving river exceeded German quality standards for receiving surface waters during storm events, highlighting the relevance of stormwater inputs for urban surface waters.

scholarly journals Assessing carrying capacity of receiving water bodies – A case study in Southern waterways of Binh Duong province

2019 ◽  
Vol 2 (6) ◽  
pp. 84-97
Author(s):  
Le Ngoc Tuan ◽  
Tao Manh Quan ◽  
Tran Thi Thuy ◽  
Doan Thanh Huy ◽  
Tran Xuan Hoang
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Carrying Capacity ◽  
Water Quality Management ◽  
Pollution Source ◽  
Water Bodies ◽  
Source Control ◽  
Local Pollution ◽  
Surface Water Management ◽  
Receiving Water

The carrying capacity of receiving water bodies is one of the important data for water quality management, pollution source control towards harmonizing with the economic development and environment protection. Therefore, this research aimed atevaluating the carrying capacity of receiving water bodies in the south of Binh Duong province up to 2030. 06 key water quality indicators (COD, BOD, TSS, PO43--P, NO3--N, NH4+-N) were exmained with 02 wastewater treatment scenarios. Results showed the investigated area hardly had carrying capacity for NH4+-N and PO43--P, followed by TSS, BOD, and COD. In case of improving wastewater treatment status till 2030, the carrying capacity of receiving water bodies would be increased, but not significant. The carrying capacity of several basins needs to be paid special attention are: Suoi Con 1 basin (BOD, COD, NH4+-N), Suoi Cai basin (BOD, TSS and NH4+-N), the upstream of Cay Bang – Cau Dinh basin (BOD, COD, TSS, NH4+-N), the upstream of Chom Sao – Rach Bung basin (05 parameters, excepting NO3--N), the upstream of Binh Hoa – Vinh Binh basin (BOD, COD, PO43--P, NH4+-N). These findings are an important basis for formulating strategies and proposing measures for local pollution source control and surface water management.  

Using Multiple Isotopes to Identify Sources and Transports of Nitrate in Urban Residential Stormwater Runoff

2021 ◽  
Author(s):  
Qiyue Hu ◽  
Song Zhu ◽  
Zanfang Jin ◽  
Aijing Wu ◽  
Xiaoyu Chen ◽  
...  
Keyword(s):  
Atmospheric Deposition ◽  
Aquatic Ecosystems ◽  
Stormwater Runoff ◽  
Organic N ◽  
Road Runoff ◽  
Urban Stormwater ◽  
Roof Runoff ◽  
The Road ◽  
Urban Stormwater Runoff ◽  
Siar Model

Abstract Increased nitrogen (N) from urban stormwater runoff aggravates the deterioration of aquatic ecosystems as urbanisation develops. In this study, the sources and transport of nitrate (NO3−) in urban stormwater runoff were investigated by analysing different forms of N, water isotopes (δD-H2O and δ18O-H2O), and NO3− isotopes (δ15N-NO3− and δ18O-NO3−) in urban stormwater runoff in a residential area in Hangzhou, China. The results showed that the concentrations of total N and nitrate N in road runoff were higher than those in roof runoff. Moreover, high concentrations of dissolved organic N and particulate N in road runoff led to significantly different TN concentrations in road runoff (mean: 3.76 mg/L) and roof runoff (mean: 1.23 mg/L). The high δ18O-NO3− values (mean: 60 ± 13.1‰) indicated that atmospheric deposition was the predominant NO3− source in roof runoff, as confirmed by the Bayesian isotope mixing model (SIAR model), contributing 83.6–97.8% to NO3−. The SIAR model results demonstrated that atmospheric deposition (34.2–91.9%) and chemical fertilisers (6.27–54.3%) were the main NO3− sources for the road runoff. The proportional contributions from soil and organic N were smaller than other sources in both the road runoff and roof runoff. For the initial period, the NO3− contributions from atmospheric deposition and chemical fertilisers were higher and lower, respectively, than those in the middle and late periods in road runoff during storm events 3 and 4, while an opposite trend of road runoff in storm event 7 highlighted the influence of short antecedent dry weather period. It was suggested that reducing impervious areas and more effective management of fertiliser application in urban green land areas were essential to minimize the presence of N in urban aquatic ecosystems.

In-line river monitoring – new challenges and opportunities

2004 ◽  
Vol 50 (11) ◽  
pp. 67-72 ◽  
Author(s):  
A. Pressl ◽  
S. Winkler ◽  
G. Gruber
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Wastewater Treatment Plants ◽  
Indirect Measurement ◽  
Water Bodies ◽  
Danube River ◽  
Quality Data ◽  
Water Quality Data ◽  
Challenges And Opportunities ◽  
Receiving Water

Water management becomes a complex issue when considering the large number of water-rights-of-use like drinking water production, recreation, receiving water, transport on and ecological quality of the water bodies. Recent changes in the legal requirements concerning water management on European scale (EC Water Framework Directive, 2000/60/EC) highlighted the need for appropriate means for monitoring water quality and exchange of water quality data. Indirect measurement of water quality using surrogate parameters (chemical and physical-chemical parameters) can be automated at a high accuracy level. This was shown over the past years by national and international research projects. In 2001 such a research project has started in Austria focusing on the installation and operation of a pilot water quality network, which is suitable for application at several points of interest of water management, i.e. sewer networks, wastewater treatment plants and receiving water bodies. The paper describes the operational problems and experiences of collecting data over a period of one year in the Danube River downstream of Vienna. The sensors are installed in situ, directly in the river, without any bypass system. The first evaluation of the measurements shows that the values are reliable and therefore applicable to further interpretations.

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