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Showing papers on "Nonpoint source pollution published in 2015"


Journal ArticleDOI
TL;DR: This study evaluated the current state of watershed scale, spatially distributed, process-based, water quality modeling of nutrient pollution, and advocated a number of new directions for distributed watershed modeling, including in-depth uncertainty analysis and the use of additional information, not necessarily related to model end points, to constrain parameter estimation.
Abstract: Watershed models have been widely used for creating the scientific basis for management decisions regarding nonpoint source pollution. In this study, we evaluated the current state of watershed scale, spatially distributed, process-based, water quality modeling of nutrient pollution. Beginning from 1992, the year when Beven and Binley published their seminal paper on uncertainty analysis in hydrological modeling, and ending in 2010, we selected 257 scientific publications which (i) employed spatially distributed modeling approaches at a watershed scale; (ii) provided predictions of flow, nutrient/sediment concentrations or loads; and (iii) reported fit to measured data. Most “best practices” (optimization, validation, sensitivity, and uncertainty analysis) are not consistently employed during model development. There are no statistically significant differences in model performance among land uses. Studies which used more than one point in space to evaluate their distributed models had significantly lower...

150 citations


Journal ArticleDOI
TL;DR: This paper reinforces the view that the concept of zoning should be takenseriously in the framework of PMAs targeting, as these new PMAs can offer an optimal strategy for locating comprehensive and costeffective management practices at the watershed scale, particularly in large watersheds or long river systems.

99 citations


Journal ArticleDOI
TL;DR: The range of field conditions leading to P loss in drainage water, the potential for drainage and nutrient management practices to control drainage losses of P, and the ability of models to represent P loss to drainage systems are documents.
Abstract: Phosphorus (P) losses in agricultural drainage waters, both surface and subsurface, are among the most difficult form of nonpoint source pollution to mitigate. This special collection of papers on P in drainage waters documents the range of field conditions leading to P loss in drainage water, the potential for drainage and nutrient management practices to control drainage losses of P, and the ability of models to represent P loss to drainage systems. A review of P in tile drainage and case studies from North America, Europe, and New Zealand highlight the potential for artificial drainage to exacerbate watershed loads of dissolved and particulate P via rapid, bypass flow and shorter flow path distances. Trade-offs are identified in association with drainage intensification, tillage, cover crops, and manure management. While P in drainage waters tends to be tied to surface sources of P (soil, amendments or vegetation) that are in highest concentration, legacy sources of P may occur at deeper depths or other points along drainage flow paths. Most startling, none of the major fate-and-transport models used to predict management impacts on watershed P losses simulate the dominant processes of P loss to drainage waters. Because P losses to drainage waters can be so difficult to manage and to model, major investment are needed (i) in systems that can provide necessary drainage for agronomic production while detaining peak flows and promoting P retention and (ii) in models that can adequately describe P loss to drainage waters.

93 citations


Journal ArticleDOI
TL;DR: In this article, the results of the Coupled Model Intercomparison Project Phase 5 (CMIP5) were input into a calibrated Soil and Water Assessment Tool (SWAT) model of the Maumee River watershed to determine the effects of climate change on watershed yields.

87 citations


Journal ArticleDOI
10 Jul 2015-Daedalus
TL;DR: In this paper, the challenges inherent in producing science to predict and assess nonpoint management and pol- icy effectiveness are identified, and solutions to overcome the barriers to nonpoint-pollution prevention may require policy-makers to gain a better understanding of existing scienti½c knowledge and act to protect public values in the face of remaining scienti ½c uncertainty.
Abstract: Nonpoint source pollution is the runoff of pollutants (including soil and nutrients) from agri- cultural, urban, and other lands (as opposed to point source pollution, which comes directly from one outlet). Many efforts have been made to combat both types of pollution, so why are we making so little progress in improving water quality by reducing runoff of soil and nutrients into lakes and rivers? This essay exam- ines the challenges inherent in: 1) producing science to predict and assess nonpoint management and pol- icy effectiveness; and 2) using science for management and policy-making. Barriers to dem onstrating causality include few experimental designs, different spatial scales for behaviors and measured outcomes, and lags between when policies are enacted and when their effects are seen. Primary obstacles to using sci- ence as evidence in nonpoint policy include disagreements about values and preferences, disputes over validi- ty of assumptions, and institutional barriers to reconciling the supply and demand for science. We will illus- trate some of these challenges and present possible solutions using examples from the Yahara Watershed in Wisconsin. Overcoming the barriers to nonpoint-pollution prevention may require policy-makers to gain a better understanding of existing scienti½c knowledge and act to protect public values in the face of remaining scienti½c uncertainty.

68 citations


Journal ArticleDOI
TL;DR: In this article, it has been proposed that reduction in levels of air pollution may result in lessening of the global burden of disease, which is a major environmental risk as far as public health is concerned.
Abstract: Air pollution has become a major environmental risk as far as public health is concerned. It has been proposed that reduction in levels of air pollution may result in lessening of the global burden of disease. Monitoring and management of air pollution has been carried out for a long time. However, the causes of air pollution and effects of air pollution on humans, animals, and plants are yet to be fully unraveled. Moreover, management of air pollution is facing challenges due to lack of availability of suitable tools and techniques. The latter half of the 19th century was dominated by research on the recognition and description of different pollutants and to some extent toward the search for tools and techniques to control and reduce air pollution. One of the major air pollutants is atmospheric particulate matter. Resuspended roadside dust is one of the sources of these particulate matters. Resuspended dust is composed of several elements from different sources. The elemental composition of these dust pa...

66 citations


Journal ArticleDOI
TL;DR: The modified export coefficient method considering the rainfall erosivity factor was proposed to simulate and evaluate non-point source (NPS) nitrogen and phosphorus loss load caused by soil and water loss in the Yanhe River basin of the hilly and gully area, Loess Plateau and may provide data support for NPS pollution prevention and control.
Abstract: Chinese Loess Plateau is considered as one of the most serious soil loss regions in the world, its annual sediment output accounts for 90 % of the total sediment loads of the Yellow River, and most of the Loess Plateau has a very typical characteristic of "soil and water flow together", and water flow in this area performs with a high sand content. Serious soil loss results in nitrogen and phosphorus loss of soil. Special processes of water and soil in the Loess Plateau lead to the loss mechanisms of water, sediment, nitrogen, and phosphorus are different from each other, which are greatly different from other areas of China. In this study, the modified export coefficient method considering the rainfall erosivity factor was proposed to simulate and evaluate non-point source (NPS) nitrogen and phosphorus loss load caused by soil and water loss in the Yanhe River basin of the hilly and gully area, Loess Plateau. The results indicate that (1) compared with the traditional export coefficient method, annual differences of NPS total nitrogen (TN) and total phosphorus (TP) load after considering the rainfall erosivity factor are obvious; it is more in line with the general law of NPS pollution formation in a watershed, and it can reflect the annual variability of NPS pollution more accurately. (2) Under the traditional and modified conditions, annual changes of NPS TN and TP load in four counties (districts) took on the similar trends from 1999 to 2008; the load emission intensity not only is closely related to rainfall intensity but also to the regional distribution of land use and other pollution sources. (3) The output structure, source composition, and contribution rate of NPS pollution load under the modified method are basically the same with the traditional method. The average output structure of TN from land use and rural life is about 66.5 and 17.1 %, the TP is about 53.8 and 32.7 %; the maximum source composition of TN (59 %) is farmland; the maximum source composition of TP (38.1 %) is rural life; the maximum contribution rates of TN and TP in Baota district are 36.26 and 39.26 %, respectively. Results may provide data support for NPS pollution prevention and control in the loess hilly and gully region and also provide scientific reference for the protection of ecological environment of the Loess Plateau in northern Shaanxi.

63 citations


Journal ArticleDOI
TL;DR: In this article, a conceptual framework that relates agricultural best management practice (BMP) effectiveness with dominant hydrological flow paths to improve nonpoint source (NPS) pollution management is presented.
Abstract: We present a conceptual framework that relates agricultural best management practice (BMP) effectiveness with dominant hydrological flow paths to improve nonpoint source (NPS) pollution management. We use the framework to analyze plot, field and watershed scale published studies on BMP effectiveness to develop transferable recommendations for BMP selection and placement at the watershed scale. The framework is based on the location of the restrictive layer in the soil profile and distinguishes three hydrologic land types. Hydrologic land type A has the restrictive layer at the surface and BMPs that increase infiltration are effective. In land type B1, the surface soil has an infiltration rate greater than the prevailing precipitation intensity, but there is a shallow restrictive layer causing lateral flow and saturation excess overland flow. Few structural practices are effective for these land types, but pollutant source management plans can significantly reduce pollutant loading. Hydrologic land type B2 has deep, well-draining soils without restrictive layers that transport pollutants to groundwater via percolation. Practices that increased pollutant residence time in the mixing layer or increased plant water uptake were found as the most effective BMPs in B2 land types. Matching BMPs to the appropriate land type allows for better targeting of hydrologically sensitive areas within a watershed, and potentially more significant reductions of NPS pollutant loading.

60 citations


Journal ArticleDOI
TL;DR: In this article, a precipitation driven correlation based mapping method (PCM) was proposed, which can reduce the impact of uncertain spatialtemporal distribution of precipitation and identify the critical source areas (CSAs) of NPS pollution with a better coverage.

57 citations


Journal ArticleDOI
TL;DR: The integrity of tidal creeks, particularly the headwaters or intertidally dominated sections, was impaired by increases in nonpoint source pollution associated with sprawling urbanization and the results suggest that these habitats are valuable early warning sentinels of ensuing ecological impacts and potential public health and flooding risk from sprawling coastal development.
Abstract: Upland areas of southeastern United States tidal creek watersheds are popular locations for development, and they form part of the estuarine ecosystem characterized by high economic and ecological value. The primary objective of this work was to define the relationships between coastal development, with its concomitant land use changes and associated increases in nonpoint source pollution loading, and the ecological condition of tidal creek ecosystems including related consequences to human populations and coastal communities. Nineteen tidal creek systems, located along the southeastern US coast from southern North Carolina to southern Georgia, were sampled in the summer, 2005 and 2006. Within each system, creeks were divided into two primary segments based upon tidal zoning—intertidal (i.e., shallow, narrow headwater sections) and subtidal (i.e., deeper and wider sections)—and then watersheds were delineated for each segment. Relationships between coastal development, concomitant land use changes, nonpoint source pollution loading, the ecological condition of tidal creek ecosystems, and the potential impacts to human populations and coastal communities were evaluated. In particular, relationships were identified between the amount of impervious cover (indicator of coastal development) and a range of exposure and response measures including increased chemical contamination of the sediments, increased pathogens in the water, increased nitrate/nitrite levels, increased salinity range, decreased biological productivity of the macrobenthos, alterations to the food web, increased flooding potential, and increased human risk of exposure to pathogens and harmful chemicals. The integrity of tidal creeks, particularly the headwaters or intertidally dominated sections, was impaired by increases in nonpoint source pollution associated with sprawling urbanization (i.e., increases in impervious cover). This finding suggests that these habitats are valuable early warning sentinels of ensuing ecological impacts and potential public health and flooding risk from sprawling coastal development. The results also validate the use of a conceptual model with impervious cover thresholds for tidal creek systems in the southeast region.

55 citations


Journal ArticleDOI
TL;DR: In this article, the effects of introducing drainage terraces and vegetative filter strips in a small basin (0.46 km 2 ) whose main land use is vine cultivation were analyzed.

Journal ArticleDOI
TL;DR: In this article, the authors compared traditional Soil and Water Assessment Tool (SWAT) with a re-conceptualized version, SWAT-VSA, that represents VSA hydrology, in a complex agricultural watershed in east central Pennsylvania.
Abstract: Phosphorus (P) loss from agricultural watersheds has long been a critical water quality problem, the control of which has been the focus of considerable research and investment. Preventing P loss depends on accurately representing the hydrological and chemical processes governing P mobilization and transport. The Soil and Water Assessment Tool (SWAT) is a watershed model commonly used to predict run-off and non-point source pollution transport. SWAT simulates run-off employing either the curve number (CN) or the Green and Ampt methods, both assume infiltration-excess run-off, although shallow soils underlain by a restricting layer commonly generate saturation-excess run-off from variable source areas (VSA). In this study, we compared traditional SWAT with a re-conceptualized version, SWAT-VSA, that represents VSA hydrology, in a complex agricultural watershed in east central Pennsylvania. The objectives of this research were to provide further evidence of SWAT-VSA's integrated and distributed predictive capabilities against measured surface run-off and stream P loads and to highlight the model's ability to drive sub-field management of P. Thus, we relied on a detailed field management database to parameterize the models. SWAT and SWAT-VSA predicted discharge similarly well (daily Nash–Sutcliffe efficiencies of 0.61 and 0.66, respectively), but SWAT-VSA outperformed SWAT in predicting P export from the watershed. SWAT estimated lower P loss (0.0–0.25 kg ha−1) from agricultural fields than SWAT-VSA (0.0–1.0+ kg ha−1), which also identified critical source areas – those areas generating large run-off and P losses at the sub-field level. These results support the use of SWAT-VSA in predicting watershed-scale P losses and identifying critical source areas of P loss in landscapes with VSA hydrology. Copyright © 2014 John Wiley & Sons, Ltd.

Journal ArticleDOI
TL;DR: In this paper, an integrated modeling system has been constructed with the hydrologic Soil and Water Assessment Tool (SWAT) model, capable of estimating river basin responses to alternative cropping and/or management strategies.

Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper conducted an ecological restoration study from 2009 to 2011 on parts of the Yitong River, which is a typical non-point source polluted river in Northern China.

Journal ArticleDOI
Linan Shan1, Yun-feng He1, Chen Jie1, Qian Huang1, Xu Lian1, Hongcai Wang1, Liu Yili1 
TL;DR: In this paper, a 3-year field experiment was conducted at a Chinese cabbage field in the Taihu Lake Basin of China to evaluate the characteristics of N runoff losses and the effect of different N fertilizer treatments on surface runoff losses during the autumn and winter, 2010-2012.

Journal ArticleDOI
TL;DR: Panagopoulos et al. as discussed by the authors evaluated the effects of three agricultural management scenarios on crop production and pollutant loads exported from the crop land of the Ohio-Tennessee River Basin to streams and rivers.
Abstract: Nonpoint source pollution from agriculture is the main source of nitrogen and phosphorus in the stream systems of the Corn Belt region in the Midwestern US. The eastern part of this region is comprised of the Ohio-Tennessee River Basin (OTRB), which is considered a key contributing area for water pollution and the Northern Gulf of Mexico hypoxic zone. A point of crucial importance in this basin is therefore how intensive corn-based cropping systems for food and fuel production can be sustainable and coexist with a healthy water environment, not only under existing climate but also under climate change conditions in the future. To address this issue, a OTRB integrated modeling system has been built with a greatly refined 12-digit subbasin structure based on the Soil and Water Assessment Tool (SWAT) water quality model, which is capable of estimating landscape and in-stream water and pollutant yields in response to a wide array of alternative cropping and/or management strategies and climatic conditions. The effects of three agricultural management scenarios on crop production and pollutant loads exported from the crop land of the OTRB to streams and rivers were evaluated: (1) expansion of continuous corn across the entire basin, (2) adoption of no-till on all corn and soybean fields in the region, (3) implementation of a winter cover crop within the baseline rotations. The effects of each management scenario were evaluated both for current climate and projected mid-century (2046-2065) climates from seven global circulation models (GCMs). In both present and future climates each management scenario resulted in reduced erosion and nutrient loadings to surface water bodies compared to the baseline agricultural management, with cover crops causing the highest water pollution reduction. Corn and soybean yields in the region were negligibly influenced from the agricultural management scenarios. On the other hand, both water quality and crop yield numbers under climate change deviated considerably for all seven GCMs compared to the baseline climate. Future climates from all GCMs led to decreased corn and soybean yields by up to 20% on a mean annual basis, while water quality alterations were either positive or negative depending on the GCM. The study highlights the loss of productivity in the eastern Corn Belt under climate change, the need to consider a range of GCMs when assessing impacts of climate change, and the value of SWAT as a tool to analyze the effects of climate change on parameters of interest at the basin scale. Keywords: agricultural management scenarios, corn-based systems, global circulation models, hydrology, water quality, crop yields, SWAT, Ohio-Tennessee River Basin DOI: 10.3965/j.ijabe.20150803.1497 Online first on [2015-03-19] Citation: Panagopoulos Y, Gassman P W, Arritt R W, Herzmann D E, Campbell T D, Valcu A, et al. Impacts of climate change on hydrology, water quality and crop productivity in the Ohio-Tennessee River Basin. Int J Agric & Biol Eng, 2015; 8(3): 36-53.

Journal ArticleDOI
TL;DR: In this paper, the authors provided a new approach to estimate both anthropogenic non-point-source and point-source nitrogen (N) inputs to the landscape, and determined their impacts on riverine ammonia-nitrogen (AN) flux, providing a foundation for further exploration of anthropogenic effects on N pollution.
Abstract: . This study provides a new approach to estimate both anthropogenic non-point-source and point-source nitrogen (N) inputs to the landscape, and determines their impacts on riverine ammonia–nitrogen (AN) flux, providing a foundation for further exploration of anthropogenic effects on N pollution. Our study site is Huai River basin of China, a water–shed with one of the highest levels of N input in the world. Multi-year average (2003–2010) inputs of N to the watershed are 27 200 ± 1100 kg N km−2 yr−1. Non-point sources comprised about 98 % of total N input, and only 2 % of inputs are directly added to the aquatic ecosystem as point sources. Fertilizer application was the largest non-point source of new N to the Huai River basin (69 % of net anthropogenic N inputs), followed by atmospheric deposition (20 %), N fixation in croplands (7 %), and N content of imported food and feed (2 %). High N inputs showed impacts on riverine AN flux: fertilizer application, point-source N input, and atmospheric N deposition were proved as more direct sources to riverine AN flux. Modes of N delivery and losses associated with biological denitrification in rivers, water consumption, interception by dams may influence the extent of export of riverine AN flux from N sources. Our findings highlight the importance of anthropogenic N inputs from both point sources and non-point sources in heavily polluted watersheds, and provide some implications for AN prediction and management.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper proposed best management practices (BMP) to mitigate floods and reduce pollutants, the performance of which can be quantitatively assessed by the System for Urban Stormwater Treatment and Analysis Integration (SUSTAIN) model.

Journal ArticleDOI
Zhu Qili, Jian Sun, Guofen Hua1, Jinsong Wang, Hailong Wang 
TL;DR: The modeled results generally agreed with the observed data, which suggests that AnnAGNPS can be used successfully for modeling runoff nutrient loading in this region, and provides important information on controlling non-point source pollution in TLB.
Abstract: Non-point source pollution is a significant environmental issue in small watersheds in China. To study the effects of rainfall on pollutants transported by runoff, rainfall was monitored in Xueyan town in the Taihu Lake Basin (TLB) for over 12 consecutive months. The concentrations of different forms of nitrogen (N) and phosphorus (P), and chemical oxygen demand, were monitored in runoff and river water across different land use types. The results indicated that pollutant loads were highly variable. Most N losses due to runoff were found around industrial areas (printing factories), while residential areas exhibited the lowest nitrogen losses through runoff. Nitrate nitrogen (NO3-N) and ammonia nitrogen (NH4-N) were the dominant forms of soluble N around printing factories and hotels, respectively. The levels of N in river water were stable prior to the generation of runoff from a rainfall event, after which they were positively correlated to rainfall intensity. In addition, three sites with different areas were selected for a case study to analyze trends in pollutant levels during two rainfall events, using the AnnAGNPS model. The modeled results generally agreed with the observed data, which suggests that AnnAGNPS can be used successfully for modeling runoff nutrient loading in this region. The conclusions of this study provide important information on controlling non-point source pollution in TLB.

Posted ContentDOI
TL;DR: The Clean Water Act exempts nonpoint source pollution from its regulatory permit programs, giving the United States Department of Agriculture (USDA) and state conservation programs the primary responsibility for reducing agricultural pollution of water resources.
Abstract: Agricultural nonpoint source (NPS) is pollution that reaches receiving waters through diffuse and complex pathways. It has long been recognized as an important contributor to U.S. water quality impairments and the subject of an array of local, state, and federal initiatives to reduce it. A common feature of these initiatives is that they rely heavily on voluntary approaches that offer financial and technical assistance to farmers to encourage the adoption of conservation practices for reducing NPS pollution. The Clean Water Act exempts nonpoint source pollution from its regulatory permit programs, giving the United States Department of Agriculture (USDA) and state conservation programs the primary responsibility for reducing agricultural pollution of water resources.

Journal ArticleDOI
TL;DR: The results showed that the reduction in water input in paddy field of the PEDWS enabled the maintenance of high rice yield; it significantly increased irrigation water productivity, gross water productivity), and evapotranspiration water productivity by 109.2, 67.1, and 17.6 %, respectively.
Abstract: Non-point source (NPS) pollution from agricultural drainage has aroused widespread concerns throughout the world due to its contribution to eutrophication of water bodies. To remove nitrogen (N) and phosphorus (P) from agricultural drainage in situ, a Paddy Eco-ditch and Wetland System (PEDWS) was designed and built based on the characteristics of the irrigated rice district. A 2-year (2012–2013) field experiment was conducted to evaluate the performance of this system in Gaoyou Irrigation District in Eastern China. The results showed that the reduction in water input in paddy field of the PEDWS enabled the maintenance of high rice yield; it significantly increased irrigation water productivity (WPI), gross water productivity (WPG), and evapotranspiration water productivity (WPET) by 109.2, 67.1, and 17.6 %, respectively. The PEDWS dramatically decreased N and P losses from paddy field. Compared with conventional irrigation and drainage system (CIDS), the amount of drainage water from PEDWS was significantly reduced by 56.2 %, the total nitrogen (TN) concentration in drainage was reduced by 42.6 %, and thus the TN and total phosphorus (TP) losses were reduced by 87.8 and 70.4 %. PEDWS is technologically feasible and applicable to treat nutrient losses from paddy fields in situ and can be used in similar areas.

Journal ArticleDOI
TL;DR: In this paper, a stochastic sampling methodology loosely based on the Monte-Carlo technique was used to construct a database of 45 million Soil and Water Assessment Tool (SWAT) simulations.
Abstract: Water quality impairment due to excessive nutrients and sediment is a major problem in the United States (U.S.). An important step in the mitigation of impairment in any given water body is determination of pollutant sources and amount. The sheer number of impaired waters and limited resources makes simplistic load estimation methods such as export coefficient (EC) methods attractive. Unfortunately ECs are typically based on small watershed monitoring data, which are very limited and/or often based on data collected from distant watersheds with drastically different conditions. In this research, we seek to improve the accuracy of these nutrient export estimation methods by developing a national database of localized EC for each ecoregion in the U.S. A stochastic sampling methodology loosely based on the Monte-Carlo technique was used to construct a database of 45 million Soil and Water Assessment Tool (SWAT) simulations. These simulations consider a variety of climate, topography, soils, weather, land use, management, and conservation implementation conditions. SWAT model simulations were successfully validated with edge-of-field monitoring data. Simulated nutrient ECs compared favorably with previously published studies. These ECs may be used to rapidly estimate nutrient loading for any small catchment in the U.S. provided the location, area, and land-use distribution are known.

Journal ArticleDOI
TL;DR: Based on the analysis of point source (PS) and non-point source (NPS) pollution emission characteristics of Dianchi Lake Basin, pollution load into the lake simulation models was constructed; the result should be useful for eutrophication researchers.
Abstract: Based on the analysis of point source (PS) and non-point source (NPS) pollution emission characteristics of Dianchi Lake Basin, pollution load into the lake simulation models was constructed; the result should be useful for eutrophication researchers. The PS and NPS pollution load calculation results were added come exogenous pollution load into Dianchi Lake. Exogenous pollution load into Dianchi lake chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP) were 32876.86, 6571.64 and 429.37 t in 1990, respectively; were 33780.66, 10326.64 and 654.59 t in 2005, respectively; were 37717.00, 8597.01 and 546.48 t in 2012, respectively. Exogenous pollution load of Dianchi Lake temporal evolution and spatial distribution changing characteristics were analyzed that TN and TP pollution load were increased from 1990 to 2005, and they were decreased from 2005 to 2012, COD pollution load were increased in both periods. July or August was the most pollution load into the lake among months in 1990, 2005 and 2012. PS pollution was mainly concentrated in the northern area and the inside of Wuhua District and Guandu District. NPS COD pollution output increased was mainly the south of the northern area in Dianchi Lake Basin and reduced were mainly the north of the northern area, eastern area, western area and southern area; TN output of NPS increased in most regions, and only the central northern area had reduced regional distribution; TP output of NPS decreased mainly in the north of northern area, and increased in most other regions of the Basin from 1990 to 2012. The result should be meaningful to zoning control and classifying control of exogenous pollutants into the Lake.

Journal ArticleDOI
TL;DR: In this paper, a survey of livestock farmers suggests that a practice that has more obvious effects on water quality, manure application setbacks, is more likely to be adopted than a more complicated one with less visible effects.
Abstract: The ability of both regulators and farmers themselves to monitor the impact of environmental practices may be an issue with nonpoint source pollution. Effects that can be perceived via direct sensory evidence provide information at low cost. Results from a survey of livestock farmers suggest that a practice that has more obvious effects on water quality, manure application setbacks, is more likely to be adopted than a more complicated one with less visible effects, manure testing. Farmers’ perceptions of the profitability of the two practices were similar. The importance of observability and complexity has implications for educational programs.

Journal ArticleDOI
TL;DR: In this article, the pollution levels of PAHs, OCPs, PCBs, emerging persistent organic pollutants and heavy metals in the Liao River basin (LRB) were reviewed.
Abstract: The water quality (COD as an index) in the Liao River basin (LRB) has been significantly improved in recent years, but toxic organic pollutants and heavy metals, however, are still present. Due to their bio-accumulative, persistent and poorly biodegradable properties as well as carcinogenic, teratogenic and mutagenic effects, these pollutants have caused severe water environment pollution in the LRB and threatened to human health. This paper reviewed the pollution levels of PAHs, OCPs, PCBs, emerging persistent organic pollutants and heavy metals in the LRB. The quantitative source apportionment methods and their application in LRB were summarized in detail. It was indicated that the organic pollutants and heavy metals in the LRB mainly originated from industrial sources, municipal wastewaters and agricultural nonpoint sources. The main problems and some suggestions for future study were proposed in order to acquire systematic data sets and comprehensive information on water pollution characteristics, which would provide valuable basis for government to establish an efficient strategy on prevention and control of highly toxic organic pollutants and trace heavy metals in the LRB.

Journal ArticleDOI
TL;DR: In this paper, the authors investigated how reconnection to groundwater and introduction of riparian vegetation impacted urban surface water chemistry by making biweekly longitudinal surveys of stream water chemistry in the creek from May 2012 until June 2013.
Abstract: Urban streams in the Northeastern United States have large road salt inputs during the winter, increased nonpoint sources of inorganic nitrogen and decreased short-term and permanent storage of nutrients. Restoration activities that re-establish connection between streams and riparian environments may be effective for improving urban stream water quality. Meadowbrook Creek, a first-order stream in Syracuse, NY, provides a unique setting to explore impacts of stream–floodplain connection because it flows along a negative urbanization gradient, from channelized and armoured headwaters to a broad, vegetated floodplain with a riparian aquifer. In this study, we investigated how reconnection to groundwater and introduction of riparian vegetation impacted urban surface water chemistry by making biweekly longitudinal surveys of stream water chemistry in the creek from May 2012 until June 2013. We used multiple methods to measure groundwater discharge rates along the creek. Chloride concentrations in the upstream, disconnected reach were influenced by discharge of road salt during snow melt events and ranged from 161.2 to 1440 mg/l. Chloride concentrations in the downstream, connected reach had less temporal variation, ranging from 252.0 to 1049 mg/l, because of buffering by groundwater discharge, as groundwater chloride concentrations ranged from 84.0 to 655.4 mg/l. In the summer, there was little to no nitrate in the disconnected reach because of limited sources and high primary productivity, but concentrations reached over 1 mg N/l in the connected reach because of the presence of riparian vegetation. During the winter, when temperatures fell below freezing, nitrate concentrations in the disconnected reach increased to 0.58 mg N/l but were still lower than the connected reach, which averaged 0.88 mg N/l. Urban stream restoration projects that restore floodplain connection may impact water quality by storing high salinity road run-off during winter overbank events and discharging that water year-round, thereby attenuating seasonal fluctuations in chloride. Contrary to prior findings, we observed that floodplain connection and riparian vegetation may alter nitrate sources and sinks such that nitrate concentrations increase longitudinally in connected urban streams. Copyright © 2014 John Wiley & Sons, Ltd.

Journal ArticleDOI
TL;DR: Over the past decade, researchers and the local people have carried out various successful studies and practices to realize the effective control of rural NPS pollution by efficiently utilizing agricultural wastes in the TGRA, including agricultural waste biogas-oriented utilization, crop straw gasification, decentralized land treatment of livestock excrement technology, and crop straw modification.
Abstract: Rural nonpoint source (NPS) pollution caused by agricultural wastes has become increasingly serious in the Three Gorges Reservoir Area (TGRA), significantly affecting the reservoir water quality. The grim situation of rural NPS pollution in the TGRA indicated that agrochemicals (chemical fertilizer and pesticide) were currently the highest contributor of rural NPS pollution (50.38%). The harmless disposal rates of livestock excrement, crop straws, rural domestic refuse, and sewage also cause severe water pollution. More importantly, the backward agricultural economy and the poor environmental awareness of farmers in the hinterland of the TGRA contribute to high levels of rural NPS pollution. Over the past decade, researchers and the local people have carried out various successful studies and practices to realize the effective control of rural NPS pollution by efficiently utilizing agricultural wastes in the TGRA, including agricultural waste biogas-oriented utilization, crop straw gasification, decentralized land treatment of livestock excrement technology, and crop straw modification. These technologies have greatly increased the renewable resource utilization of agricultural wastes and improved water quality and ecological environment in the TGRA.

Journal ArticleDOI
Huiying Li, Philip K. Hopke1, Xiande Liu, Xiao-Ming Du, Fasheng Li 
TL;DR: Positive matrix factorization (PMF) is applied to monitoring data to apportion water pollution sources in the Daliao River (DLR) basin, and results reveal that chemical transformations have influenced some chemical species.
Abstract: Surface water monitoring networks play an important role in the stream water quality management. Since a time series of data is obtained from the monitoring network, multivariate statistical techniques can be used to identify important factors or pollution sources of water system. Positive matrix factorization (PMF) is an improved factor analysis tool that has had limited application to water systems. The objective was to apply PMF to monitoring data to apportion water pollution sources in the Daliao River (DLR) basin. The DLR basin includes the Hun and Taizi River catchments in northeast China. This basin is densely populated and heavily industrialized. Fourteen monitoring stations located on the two rivers were used for monitoring 13 physical and chemical parameters from 1990 to 2002. Results show that five sources/processes in the Hun River and four in the Taizi River were identified by marker species and spatial-temporal variations of resolved factors, including point and nonpoint sources for both rivers. In addition, the industrial pollution source emission inventory data were used to compare with the resolved industrial sources. Results reveal that chemical transformations have influenced some chemical species. However, this influence is small compared with observed seasonal variations. Therefore, identification of pollution point and nonpoint sources by their seasonal variations is possible, which will also aid in water quality management. The spatial variation of the industrial pollutants typically corresponded with the urban industrial pollution source inventories.

Journal ArticleDOI
TL;DR: In this paper, the authors present an evaluation of agricultural nonpoint pollution control options for China, including design standards (command and control), performance standards, and design and performance incentives, and conclude that subsidies to farmers for changing production practices in order to reduce nonpoint emissions, combined with appropriate farmer education and technical assistance, are the best options.

Journal ArticleDOI
TL;DR: TP pollution control strategies should be preferentially directed at reductions in NPS loads, especially during summer high-flow periods when the greatest eutrophication risk occurs.