scholarly journals Evaluation of best management practices for non-point source pollution based on the SWAT model in the Hanjiang River Basin, China

Author(s):  
Shu Li ◽  
Jiake Li ◽  
Gairui Hao ◽  
Yajiao Li

Abstract Taking the Hanjiang River basin with Ankang hydrological station as the control section as the study area, the Soil and Water Assessment Tool (SWAT) model is used to identify the spatial and temporal distribution of non-point source (NPS) pollution and determine the critical source areas (CSA). Then we set up 11 best management practices (BMPs) in the CSA and evaluate their environmental and comprehensive benefits. The results show that TN and TP loads in flood season are significantly higher than that in non-flood season. The distribution of loss intensity of TN and TP load has a strong correlation with runoff and sediment erosion intensity, respectively. Among the 8 individual BMPs, the reduction rates of stubble coverage, grassed waterway and returning farmland to forest land are relatively high, and the comprehensive attribute value Z of stubble coverage is the highest. Among the 3 combined BMPs, the reduction rate of ‘stubble coverage + grassed waterway + returning farmland to forest land (>25°)’ is the highest and the Z value is the largest. Overall, the BMPs such as stubble coverage, grassed waterway, and returning farmland to forest land can be adopted alternately to control NPS pollution in the Hanjiang river basin.

Author(s):  
Yang Ding ◽  
Fei Dong ◽  
Jinyong Zhao ◽  
Wenqi Peng ◽  
Quchang Chen ◽  
...  

Non-point source (NPS) pollution simulation in control units can identify critical pollution source areas and make Best Management Practices (BMPs) more effective for the responsible parties. In this study, the control unit division method is introduced, and the spatial and temporal distribution characteristics of NPS pollution in the Guishui River Basin of Northern China are analyzed using the Soil Water Assessment Tool (SWAT) model. In addition, five BMP scenarios were designed for environmental and cost-benefit analyses. The results show that the loss of total nitrogen (TN) and total phosphorus (TP) is concentrated in the rainy season, and the loss of TN and TP is mainly distributed in the middle and lower reaches of the main stream of the Guishui River. This area accounts for 22.34% of the basin area. The vegetated filter strips (VFS) scenario had the best environmental benefits with average TN and TP reduction efficiencies of 63.4% and 62.6%, respectively. The Grassed Waterway was the most cost-effective scenario measure, cost-benefit (CE) values of TN and TP were 1798.13 g/€ and 601.56 g/€. Generally, research on NPS pollution using control units can more clearly identify the critical source areas of pollution than other methods, and provides technical support for watershed management decision makers.


2021 ◽  
Author(s):  
Jinjin Gu ◽  
Yuan Cao ◽  
Min Wu ◽  
Min Song ◽  
Lin Wang

Abstract Uncertainty in nature and human society affect pollution control efficiency and the rationality of the scheme of spatial optimization layout of best management practices (BMP) for agricultural non-point-source (NPS) pollution treatment. Based on this idea, the study innovatively develops a mathematical model that integrates soil and water assessment tool (SWAT) model and interval fractional programming. The advantage of the model are the following: (1) ability to process a BMP spatial optimization layout in watershed in uncertain situations, (2) ability to effectively reflect the uncertain factors involved in the scheme without having to set all the variables as uncertain factors, and (3) results are in the form of schemes in upper and lower limit scenarios, thereby reflecting the limit of uncertainty impact on the schemes. The results of this study can provide decision-makers with a wide range of optional schemes. This study examines how to set up the BMP spatial optimal layout scheme for agricultural non-point-source pollution treatment under the influence of uncertain factors. The proposed method is universal and can be extended to other cases.


2011 ◽  
Vol 347-353 ◽  
pp. 2195-2199 ◽  
Author(s):  
Jian Ma ◽  
Xin Chen ◽  
Yi Shi

Agricultural non-point source (NPS) pollution is a growing environmental problem, contributing much to water eutrophication in China as well as in other parts of the world. NPS pollutants are heterogeneously distributed and discharged from agricultural lands and other sources, and extremely hard to control by technical measures. Hence, control of the water quality problems caused by agricultural NPS pollution becomes difficult if recommended best management practices (BMPs) can’t be well implemented. In this paper, current research progress related to distinguishing agricultural NPS pollution sources was reviewed. Three pivotal methods for identifying agricultural NPS pollution sources were introduced and the advantages and disadvantages of each approach were discussed. Finally suggestions were presented on better identifying agricultural NPS pollution sources in China.


2019 ◽  
Vol 192 ◽  
pp. 42-58 ◽  
Author(s):  
Sushil Kumar Himanshu ◽  
Ashish Pandey ◽  
Basant Yadav ◽  
Ankit Gupta

2005 ◽  
Vol 29 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Amanda L. Husak ◽  
Stephen C. Grado ◽  
Steven H. Bullard ◽  
Steverson O. Moffat

Abstract Passage of the Clean Water Act (CWA) of 1972 prompted states to invest significant resources to develop programs to control nonpoint source (NPS) pollution from forestry and other activities. Forestry-related agencies and organizations have since developed silvicultural best managementpractice (BMP) guidelines to reduce NPS pollution, maintain stream integrity, and meet state water quality standards. To determine the effectiveness and implementation level of best management practices (BMP) on public and private forestland, states further developed and implemented theirBMP compliance monitoring programs. This study documents the similarities and differences in efforts, methods, resources, and expenditures among BMP compliance monitoring programs across the 13 southern states. 29(1):48–52.


Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 576 ◽  
Author(s):  
Adrián López-Ballesteros ◽  
Javier Senent-Aparicio ◽  
Raghavan Srinivasan ◽  
Julio Pérez-Sánchez

Best management practices (BMPs) provide a feasible solution for non-point source pollution problems. High sediment and nutrient yields without retention control result in environmental deterioration of surrounding areas. In the present study, the soil and water assessment tool (SWAT) model was developed for El Beal watershed, an anthropogenic and ungauged basin located in the southeast of Spain that drains into a coastal lagoon of high environmental value. The effectiveness of five BMPs (contour planting, filter strips, reforestation, fertilizer application and check dam restoration) was quantified, both individually and in combination, to test their impact on sediment and nutrient reduction. For calibration and validation processes, actual evapotranspiration (AET) data obtained from a remote sensing dataset called Global Land Evaporation Amsterdam Model (GLEAM) were used. The SWAT model achieved good performance in the calibration period, with statistical values of 0.78 for Kling–Gupta efficiency (KGE), 0.81 for coefficient of determination (R2), 0.58 for Nash–Sutcliffe efficiency (NSE) and 3.9% for percent bias (PBIAS), as well as in the validation period (KGE = 0.67, R2 = 0.83, NS = 0.53 and PBIAS = −25.3%). The results show that check dam restoration is the most effective BMP with a reduction of 90% in sediment yield (S), 15% in total nitrogen (TN) and 22% in total phosphorus (TP) at the watershed scale, followed by reforestation (S = 27%, TN = 16% and TP = 20%). All effectiveness values improved when BMPs were assessed in combination. The outcome of this study could provide guidance for decision makers in developing possible solutions for environmental problems in a coastal lagoon.


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