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Coastal eutrophication due to agricultural runoff is one of the main what is a class 3 estimate problems for coastal zones around the world. The increase in nutrients has created multiple consequences on marine ecosystems, such as harmful algal blooms, zones of hypoxia or anoxia, and loss of biodiversity. The what is a class 3 estimate areas of México are no exception. In the scientific community, there has been a great effort to estimate the amount of nutrients that enter marine ecosystems.
However, a rapid method to make this estimation without field data is still required. In this study, the cultivated area and the entrance of nutrients to the coastal marine environment were determined for one of the main irrigation districts located in the state of Sonora, which drains into the Gulf of California, Mexico. We used an elevation model combined with the digitization of drain canal maps to delimitate sub-basins and allocate the coastal runoff entry points.
Landsat 8 satellite data were classified and validated for the period of two agrarian cycles — to obtain the agriculture parcels by sub-basins. The quantity of the nutrient runoff was estimated using the cultivation area and nitrogen runoff percentage, according to values found in published reports.
As a result, we identified eight sub-basins, two of which stand out for the amount of nitrogen that drains both into a coastal lagoon and directly to the sea. We confirmed this information by correlation analysis using Moderate Resolution Imaging Spectroradiometer MODIS of the diffuse attenuation coefficient at nm K d detected around the coastal runoff entry points. We concluded that there is a high input in the coastal zones and lagoons of nutrients and other pollutants from the agricultural zones of the Río Mayo irrigation district.
We also concluded that the performance of the method applied to estimate the volume of the nitrogen runoff is useful, rapid, and can be improved with in situ data. The increase in nutrients has had multiple consequences on marine ecosystems, such as harmful what is a class 3 estimate blooms, zones of hypoxia or anoxia, and loss of biodiversity Breitburg et al. This is a global problem that has been documented for various seas, including the Baltic Sea, the China Sea coast, as well as the Mississippi delta and its influence on the Gulf of Mexico Raymond et al.
Estimating fertilizer runoff from agricultural areas is usually a complex exercise, since it involves a large number of sampling sites distributed over a large area with different terrain characteristics, which can range from inaccessible mountainous areas to coastal plains He and DeMarchi, ; Hofmeister et al. As a result, certain areas are left unsampled.
In addition, the temporality what is a class 3 estimate planting, that is, the agricultural cycles and, in some cases, the modification of the hydrological basin by new channels and drains Rhoads et al. Nevertheless, estimating the runoff of agricultural compounds toward both continental and marine bodies of water is essential to understand their potential effects Davidson et al.
Sun et al. They also characterized significant spatiotemporal variation characteristics during rice seasons, which were positively related to fertilizing rates and precipitation. Mouri et al. Chang showed the capacities of GIS analysis to study processes that occurred in the past. He examined spatial patterns of eight parameters of water quality — including total nitrogen — in the period — and concluded that spatial analysis of watershed data at different scales is useful in identifying the fundamental spatiotemporal distribution of water quality.
All these examples show advantages of using GIS and RS to estimate are nacho chips healthier than potato chips input coming from agricultural and urban areas in particular water bodies. In the northwestern area of the Gulf of California, there is extensive use of chemicals in fertilizer, particularly nitrogen based.
Therefore, it can be safely assumed that large amounts of fertilizers are swept toward the coastal zones, increasing the input of nutrients. Sonora is one of the main agricultural and fishing states in What does independent variable mean in math, distinguished for both its coastline on the Gulf of California as well as its mountainous areas.
Sonora is one of the main states within Mexico facing the problem of agricultural runoff. It is among the top producers of grains and vegetables, grown mostly in the coastal valleys. The runoff flows directly into the Gulf of California and its beaches. The objective of our research was to study the amount of agricultural nitrogen fertilizer entering the coastal how to create affiliate links for youtube of the Gulf of California.
For this purpose, we used the agricultural parcels as a study case in the irrigation district of Río Mayo Sonora estate, Mexico to generate a rapid GIS and remote sensing-based methodology. The irrigation district of Río Mayo is located in the southern part of Sonora Figure 1. It has an average annual precipitation of mm and an average annual temperature of The main agricultural production is made during two cultivation periods, spring—summer and autumn—winter.
Figure 1. The methodology implemented in this manuscript is shown in Figure 2. We separated the methodology into the following parts: hydrological characterization blueland cover classification greenselection and validation of the image orangeestimation of the total of nitrogen runoff to the coastal zone red and purpleand confirmation of determination using MODIS K d estimated values for zones around the entry point. These parts are explained in the following sections. Figure 2.
Methodology flowchart for estimating nitrogen runoff from crops to the coastal zones. In order to determine the marine runoff entry points, what is grime in slang hydrological connectivity, and the sub-basins, we used the elevation model Contínuo de Elevaciones Mexicano 3.
This process was done using the software QGIS 2. To model the course followed by the runoff in each of the agricultural areas, we used the r. For the watersheds, a threshold of 1, cells was used. These thresholds were selected to obtain the define equivalence relation with an example network, as well as the watersheds formed for each of these networks within the study area.
To determine the total planted agricultural area, the classification must represent the maximum agricultural area per cycle; in this case, the maximums corresponded to the months of February, and September, Therefore, previously made classifications cannot be used, since the agricultural area can change in each season. For this reason, we used Landsat 8 images path and row 34— Landsat images are open access and offer enough resolution for the land cover determination without needing to compose an image for study zones.
The selected images corresponded to the two agricultural cycles: autumn—winter — and spring—summer one per month. The Supplementary Appendix shows the images that were used. In order to obtain the what is a class 3 estimate planted area per season, as well as its geographical location, we used supervised classification maximum likelihood algorithm of GRASS GIS 7. As a result of the classification, we obtained the plots belonging to a basin and its drainage outlet.
We used the method proposed by Olofsson et al. This method includes calculating the sample size and assigning it in the categories of coverage types, based on the best result of five hypothetical assignments. Olofsson et al. To determine sample allocation to strata, Olofsson et al. They suggest allocating the sample size of n—r proportionally to the area of each remaining stratum. For the month what is a class 3 estimate September, averages of samples were allocated in the five classes.
After having selected the best sample allocation to strata, the reference data to validate the classification was obtained by the following procedure. A visual inspection of each of the sample units was performed to assign the reference land cover type using the true color composite of the used Landsat images, together with corresponding Google Earth TM imagery. For February, the reference data had a month of difference and 2 months difference for September.
This was based on the availability of Google imagery. A random allocation of the points defined as n i was performed using QGis 2. In addition, Mexican official recommendations and sowing manuals SAGARPA, were used to obtain what is a class 3 estimate of nitrogen used for the main crops of the area during the periods studied. To obtain the monthly average with a 1 km resolution pixel and to extract the data and for the composed monthly average K d image for each of the coastal entry points of nutrients previously determined and two control zones areas where there are no agricultural plots nearbywe used the L2-binnig module of the software seaDAS what is food science and technology pdf 7.
Each sampling had an area of This information was used to confirm the amount of nitrogen runoff received by the marine coastal zones through the entry points. To validate the proposed method to estimate nitrogen inputs in the marine zone, a statistical correlation between the estimated values of nitrogen runoff for each basin and the satellite K d values around its corresponding outlet point marine entry point was performed in R.
The obtained drainage lines, the basins, and the estimated nutrient entry points along the coastal zone and the coastal lagoons are shown in Figure 3. Eight basins were obtained within the irrigation district shown in Figure 3 with different colors. They allowed a determination of which agricultural parcels which is the easiest optional for upsc to the same area.
The entry points allow allocation of the affected coastal zone and the coastal lagoons. The results indicate that there are some direct entry points to the Gulf of California, while others are located between mangrove areas and the lagoon of Yavaros and Tóbari. Figure 3. Drainage lines calculated in black along with the main points of entry of nutrients, superimposed with the eight hydrological basins determined for the region of the Irrigation District of the Río Mayo.
On the upper right corner, a Landsat band combination is shown. Thus, it can be stated that the relative contribution of precipitation during these two agricultural periods was of low importance regarding the runoff of nutrients into the coastal zone, which depends mainly on the water from what is a food web explain with an example Adolfo Ruiz Cortines dam, together with the various extraction wells used for irrigation.
Figure 4. Total monthly precipitation in millimeters measured at weather stations for the Río Mayo Irrigation District during the period. It also shows all the allocation variables selected for each sub-basin. Table 1. As example, tables showing data of the entire irrigation district are included in Supplementary Appendix. As mentioned, these determinations were done for all sub-basins and for the entire district. We selected allocation 3 for the autumn—winter cycle February and allocation 1 for the spring—summer cycle Septemberdue to their lowest values in the standard error for cultivation area, soil, and selected accuracy.
Table 2 shows the estimator matrix for the total of the Río Mayo irrigation district for February and September, while Table 4 of the Supplementary Appendix shows the error matrix of sample counts of each allocation. Table 2 shows all data from the validation classification for each sub-basin and the entire irrigation district for the two cycles, and all the basins with their estimation error for each strata. The large difference in the land used in each cycle should be noted.
Table 3 shows the percentages of nitrogen runoff reported by Riley et al. The irrigation district Río Mayo basin has its main cultivation period in the autumn—winter cycle, although it also has important nitrogen contributions during the spring—summer cycle. The Tóbari lagoon basin has the most agricultural what is a class 3 estimate cover in both the autumn—winter cycle and spring—summer cycle, and with discharge into the Tóbari lagoon. The Río Mayo basin is second in agricultural production and volume of nitrogen runoff.
This basin discharges directly to the Gulf of California. While the Tóbari lagoon basin has a minor agricultural contribution, it also receives input from the shrimp farms that are in the area. Table 3. Figure 5 shows the K d values for each of the entry points of nutrients to the coastal zone by month for the two agricultural cycles. We confirmed that the higher clarity of coastal zones water correspond to the control zones, while the lower correspond to the main agricultural areas.