Impact of residue management and subsurface drainage on non-point source pollution in the Arroyo Colorado

Enciso, Juan; Nelson, Shad D.; Perea, Hugo; Uddameri, Venkatesh; Kannan, Narayanan; Gregory, Ashley

doi:10.1016/j.swaqe.2014.11.002

Cited by 7 publications

(5 citation statements)

References 17 publications

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“…In general, non-point sources (NPS) are due to large-scale land use activities, which are difficult to specify the area of pollution waste production. NPS pollution was the most important source of water pollution where it mostly comes from agriculture (Enciso et al, 2014). Saby et al, (2021), also supported the finding of NPS pollution was from agriculture, meanwhile there has another factor that contribute to the NPS which is urban stormwater and atmospheric deposition.…”

Section: Non-point Source (Nps) Managementsupporting

confidence: 59%

“…Where, the cause of the pollution cannot be traced and seen clearly. Among the pollution emitted by the NPS is waste from the agricultural sector, including fertilizer (Liu et al, 2013), herbicides and insecticides (Enciso et al, 2014). Aside from that, soil erosion is the most common and severe non-point source of pollution (Sun et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Impact of Suspended Sediment on Pahang River Development Using Geographic Information System

Mustaffa

Kamarudin

Toriman

et al. 2023

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The measurement of different characteristics of a stream, including integrated water resource management, is dependent on sediment transport mechanisms. On the Pahang River, studies explored the spatial interpolation pattern of suspended sediment (SS) and water resource management. Sedimentation issues in the Pahang River have a significant impact on water resource management in the Pahang River basin. Furthermore, it may have an impact on local water consumption, recreational activities, and other factors, causing the river to become shallow and finally flood. This study was conducted to determine the SS pattern in the Pahang River with the approach of the Geographic Information System (GIS) technique and its significant colour based on spatial analysis. In addition, this study also evaluates the factors and effects of sedimentation through water source management. Three sampling stations from the Department of Irrigation and Drainage (DID) for three years (2000, 2004 and 2008) were selected along the Pahang River, where the parameter measured was suspended sediment (ton/year). The results obtained showed that the Pahang River receives a high amount of SS each year, where the higher amount was at the upper station (Sg. Yap), with an amount of 1876575 ton/year (2000), 613850.1 ton/year (2004) and 3458097 ton/year where it may be affected by sediment re-suspension and runoff from two outlets. Meanwhile, the downstream station (Lubuk Paku) received the least amount of SS, while the midstream station (Temerloh) received the most. The transit's speed and current may have an impact. This study's findings are critical in river and water resource management, especially of water resources for domestic use, ecotourism, river biodiversity, and hydrology.

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Section: Non-point Source (Nps) Managementsupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Impact of Suspended Sediment on Pahang River Development Using Geographic Information System

Mustaffa

Kamarudin

Toriman

et al. 2023

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“…Such practices are of even greater importance in southwestern Ontario, an area where agricultural practices, including tillage practices, have an effect on Great Lakes water quality (Joosse and Baker 2011;Molder et al 2015). The amount of crop residue left in the field after harvest is important for soil and water storage (Daughtry and Hunt Jr. 2008), erosion control (Kumar and Goh 1999;Mailapalli et al 2013;Enciso et al 2014), and assessment and modeling of soil carbon (C) sequestration (Aguilar et al 2012a). For instance, retaining more than 30% of crop residue cover on the surface is considered a conservation tillage practice (Shelton et al 1990;Huggins and Reganold 2008;Lal 2015) and is an important objective of the Great Lakes Agricultural Sustainability Initiative funded by the Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) and Agriculture and Agri-Food Canada (OMAFRA 2015b).…”

Section: Abstract: Digital Photograph Method-field Crops-great Lakesmentioning

confidence: 99%

Determining the number of measurements required to estimate crop residue cover by different methods

Laamrani¹,

Joosse²,

Feisthauer³

2017

Journal of Soil and Water Conservation

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Ahmed Laamrani is a visiting postdoctoral fellow, Pamela Joosse is senior land resource scientist, and Natalie Feisthauer is a land resource scientist in the Science and Technology Branch, Agriculture and Agri-Food Canada, Guelph, Ontario, Canada.Determining the number of measurements required to estimate crop residue cover by different methods A. Laamrani, P. Joosse, and N. Feisthauer Abstract: Crop residue left after harvest plays an important role in controlling against soil erosion and in increasing soil organic matter content of agricultural soils. Crop residue management is a practice of great importance in southwestern Ontario, where soil management practices have an effect on Great Lakes water quality. The use of remote sensing data to measure and monitor crop residue can be fast and efficient. However, remote sensing-based studies need calibration and validation using field observations. The objective of this study was to determine the optimal number of ground-truthing field measurements (i.e., digital photographs) required to estimate residue levels. To do so, we compared the residue estimates derived from digital photographs with those derived from the standard line-transect method. Residue was measured from 18 fields located in southern Ontario, and data collected included percentage of crop residue using line-transect and photographic grid methods. Results were analyzed using linear regression, correlation tests, ANOVA, and means tests. Analyses were also conducted to retrospectively determine the minimum number of line transects or digital photos required to estimate crop residue cover at specified levels of power. Results showed that (1) percentage of crop residue estimates derived from using digital photographs were strongly correlated (r = 0.91, p < 0.001, R 2 = 0.83, and n = 90) to those derived from using line transects; (2) counting 50 to 100 points per digital photograph was sufficient to accurately estimate the percentage of residue cover; and (3) there was greater variability in the results for soybean (Glycine max [L.] Merr.) than for corn (Zea mays L.), with the highest variability for medium-level soybean residue. Overall, the digital photograph method to estimate percentage of residue was found to be a suitable alternative to the line-transect method, which is more time consuming and labor intensive. Determining the optimal numbers of measurements to estimate crop residue cover is important to those wishing to use digital photo capture methods to record, archive, and measure residue for remote sensing calibration and validation or for handheld mobile device applications. Key words: digital photograph method-field crops-Great Lakes-line-transect methodsoil cover-validation and calibrationOntario, Canada's most populous and second largest province, has more than half of the highest quality farmland in Canada, with a total number of about 52,000 farms according to the 2011 Census of Agriculture (AAFC 2013). Crop residue (nonphotosynthetic vegetation) management is an important agricult...

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“…The amount of crop residue left in the field after harvest is of great importance for water storage [ 1 ], soil erosion control [ 2 , 3 , 4 ] and assessment and modeling of soil carbon sequestration [ 5 ]. Retaining crop residue is of interest in agro-ecosystems in North America, such as the mid-West and Great Lakes states where agricultural practices, including tillage practices (preparing land for growing crops), can affect water quality of the Gulf of Mexico and Great Lakes [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Using a Mobile Device “App” and Proximal Remote Sensing Technologies to Assess Soil Cover Fractions on Agricultural Fields

Laamrani

Lara

Berg

et al. 2018

Sensors

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Quantifying the amount of crop residue left in the field after harvest is a key issue for sustainability. Conventional assessment approaches (e.g., line-transect) are labor intensive, time-consuming and costly. Many proximal remote sensing devices and systems have been developed for agricultural applications such as cover crop and residue mapping. For instance, current mobile devices (smartphones & tablets) are usually equipped with digital cameras and global positioning systems and use applications (apps) for in-field data collection and analysis. In this study, we assess the feasibility and strength of a mobile device app developed to estimate crop residue cover. The performance of this novel technique (from here on referred to as “app” method) was compared against two point counting approaches: an established digital photograph-grid method and a new automated residue counting script developed in MATLAB at the University of Guelph. Both photograph-grid and script methods were used to count residue under 100 grid points. Residue percent cover was estimated using the app, script and photograph-grid methods on 54 vertical digital photographs (images of the ground taken from above at a height of 1.5 m) collected from eighteen fields (9 corn and 9 soybean, 3 samples each) located in southern Ontario. Results showed that residue estimates from the app method were in good agreement with those obtained from both photograph–grid and script methods (R2 = 0.86 and 0.84, respectively). This study has found that the app underestimates the residue coverage by −6.3% and −10.8% when compared to the photograph-grid and script methods, respectively. With regards to residue type, soybean has a slightly lower bias than corn (i.e., −5.3% vs. −7.4%). For photos with residue <30%, the app derived residue measurements are within ±5% difference (bias) of both photograph-grid- and script-derived residue measurements. These methods could therefore be used to track the recommended minimum soil residue cover of 30%, implemented to reduce farmland topsoil and nutrient losses that impact water quality. Overall, the app method was found to be a good alternative to the point counting methods, which are more time-consuming.

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Impact of residue management and subsurface drainage on non-point source pollution in the Arroyo Colorado

Cited by 7 publications

References 17 publications

Impact of Suspended Sediment on Pahang River Development Using Geographic Information System

Impact of Suspended Sediment on Pahang River Development Using Geographic Information System

Determining the number of measurements required to estimate crop residue cover by different methods

Using a Mobile Device “App” and Proximal Remote Sensing Technologies to Assess Soil Cover Fractions on Agricultural Fields

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