scholarly journals Atmospheric Deposition Effects on Agricultural Soil Acidification State — Key Study: Krupanj Municipality

2014 ◽  
Vol 40 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Dragan Čakmak ◽  
Jelena Beloica ◽  
Veljko Perović ◽  
Ratko Kadović ◽  
Vesna Mrvić ◽  
...  

Abstract Acidification, as a form of soil degradation is a process that leads to permanent reduction in the quality of soil as the most important natural resource. The process of soil acidification, which in the first place implies a reduction in soil pH, can be caused by natural processes, but also considerably accelerated by the anthropogenic influence of excessive S and N emissions, uncontrolled deforestation, and intensive agricultural processes. Critical loads, i.e. the upper limit of harmful depositions (primarily of S and N) which will not cause damages to the ecosystem, were determined in Europe under the auspices of the Executive Committee of the CLRTAP in 1980. These values represent the basic indicators of ecosystem stability to the process of acidification. This paper defines the status of acidification for the period up to 2100 in relation to the long term critical and target loading of soil with S and N on the territory of Krupanj municipality by applying the VSD model. The Inverse Distance Weighting (IDW) geostatistic module was used as the interpolation method. Land management, particularly in areas susceptible to acidification, needs to be focused on well-balanced agriculture and use of crops/seedlings to achieve the optimum land use and sustainable productivity for the projected 100-year period.

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 592
Author(s):  
Mehdi Aalijahan ◽  
Azra Khosravichenar

The spatial distribution of precipitation is one of the most important climatic variables used in geographic and environmental studies. However, when there is a lack of full coverage of meteorological stations, precipitation estimations are necessary to interpolate precipitation for larger areas. The purpose of this research was to find the best interpolation method for precipitation mapping in the partly densely populated Khorasan Razavi province of northeastern Iran. To achieve this, we compared five methods by applying average precipitation data from 97 rain gauge stations in that province for a period of 20 years (1994–2014): Inverse Distance Weighting, Radial Basis Functions (Completely Regularized Spline, Spline with Tension, Multiquadric, Inverse Multiquadric, Thin Plate Spline), Kriging (Simple, Ordinary, Universal), Co-Kriging (Simple, Ordinary, Universal) with an auxiliary elevation parameter, and non-linear Regression. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the Coefficient of Determination (R2) were used to determine the best-performing method of precipitation interpolation. Our study shows that Ordinary Co-Kriging with an auxiliary elevation parameter was the best method for determining the distribution of annual precipitation for this region, showing the highest coefficient of determination of 0.46% between estimated and observed values. Therefore, the application of this method of precipitation mapping would form a mandatory base for regional planning and policy making in the arid to semi-arid Khorasan Razavi province during the future.


2018 ◽  
Vol 10 (2) ◽  
pp. 899-918
Author(s):  
Claire M. Wood ◽  
Robert G. H. Bunce ◽  
Lisa R. Norton ◽  
Simon M. Smart ◽  
Colin J. Barr

Abstract. Since 1978, a series of national surveys (Countryside Survey, CS) have been carried out by the Centre for Ecology and Hydrology (CEH) (formerly the Institute of Terrestrial Ecology, ITE) to gather data on the natural environment in Great Britain (GB). As the sampling framework for these surveys is not optimised to yield data on rarer or more localised habitats, a survey was commissioned by the then Department of the Environment (DOE, now the Department for Environment, Food and Rural Affairs, DEFRA) in the 1990s to carry out additional survey work in English landscapes which contained semi-natural habitats that were perceived to be under threat, or which represented areas of concern to the ministry. The landscapes were lowland heath, chalk and limestone (calcareous) grasslands, coasts and uplands. The information recorded allowed an assessment of the extent and quality of a range of habitats defined during the project, which can now be translated into standard UK broad and priority habitat classes. The survey, known as the "Key Habitat Survey", followed a design which was a series of gridded, stratified, randomly selected 1 km squares taken as representative of each of the four landscape types in England, determined from statistical land classification and geological data ("spatial masks"). The definitions of the landscapes are given in the descriptions of the spatial masks, along with definitions of the surveyed habitats. A total of 213 of the 1 km2 square sample sites were surveyed in the summers of 1992 and 1993, with information being collected on vegetation species, land cover, landscape features and land use, applying standardised repeatable methods. The database contributes additional information and value to the long-term monitoring data gathered by the Countryside Survey and provides a valuable baseline against which future ecological changes may be compared, offering the potential for a repeat survey. The data were analysed and described in a series of contract reports and are summarised in the present paper, showing for example that valuable habitats were restricted in all landscapes, with the majority located within protected areas of countryside according to different UK designations. The dataset provides major potential for analyses, beyond those already published, for example in relation to climate change, agri-environment policies and land management. Precise locations of the plots are restricted, largely for reasons of landowner confidentiality. However, the representative nature of the dataset makes it highly valuable for evaluating the status of ecological elements within the associated landscapes surveyed. Both land cover data and vegetation plot data were collected during the surveys in 1992 and 1993 and are available via the following DOI: https://doi.org/10.5285/7aefe6aa-0760-4b6d-9473-fad8b960abd4. The spatial masks are also available from https://doi.org/10.5285/dc583be3-3649-4df6-b67e-b0f40b4ec895.


2021 ◽  
Author(s):  
Laode Muh. Munadi

The population of Indonesia in 2021 is about 273 million people. The increasing population is followed by an increase in food needs, including animal food. The area of land as a base of food production does not increase, even tends to decrease due to conversion, abrasion, and submerged seawater as a result of global warming and climate change, as well as the declining quality of natural resources. Animal protein consumption in Indonesia is very low and is expected to increase sharply as the income of the population continues to increase. Anticipating this, it is necessary to prepare a medium- and long-term farm development strategy in a sustainable manner by utilizing the availability of local resources. Exploring the genetic resources of livestock that are efficient in the use of feed, should also be able to utilize feed materials in the form of crop byproducts and agricultural industries. This policy should be supported by technological innovation and sustainable productivity and livestock production. Can save natural resources while reducing greenhouse gas emissions in order to realize the concept of green economy.


2010 ◽  
Vol 5 (5) ◽  
pp. 526-534 ◽  
Author(s):  
Jung Eun Kang ◽  
◽  
Walter Gillis Peacock ◽  
Rahmawati Husein ◽  

The U.S. Federal EmergencyManagement Agency requires jurisdictions to develop hazardmitigation plans (HMPs) to be eligible for hazard mitigation grants based on the 2000 Disaster Mitigation Act. As of May 2007, over 14,000 local jurisdictions in the US have developed single or multi-jurisdiction local hazard mitigation plans. However, little empirical research has examined the quality of local HMPs. This study develops a comprehensive HMP assessment protocol and then assesses the status of twelve HMPs within the Texas coastal management zone. The components of these plans are systematically examined in order to highlight their strengths and weaknesses. The average plan quality score (PǪS) was only 41.6 on a 100-point scale, with a high of 53.3 and a low of 28.7. Regional and county plans displayed higher PSQs than city plans. Most disconcerting was the finding of very low component quality scores forfact basisat 33.6 and mitigationpolicies & actionsat only 28.2. These two components are at the heart of HMPs. The relatively lowPǪSandCǪSresults suggest that there are significant improvements that should be undertaken in future iterations of HMPs to better insure long-term disaster resilience of local jurisdictions along the Texas coast.


Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 51
Author(s):  
Zhen Liu ◽  
Zhilong Zhang ◽  
Cuiying Zhou ◽  
Weihua Ming ◽  
Zichun Du

The inverse-distance weighting interpolation is widely used in 3D geological modeling and directly affects the accuracy of models. With the development of “smart” or “intelligent” geology, classical inverse-distance weighting interpolation cannot meet the accuracy, reliability, and efficiency requirements of large-scale 3D geological models in these fields. Although the improved inverse-distance weighting interpolation can basically meet the requirements of accuracy and reliability, it cannot meet the requirements of efficiency at the same time. In response to these limitations, the adaptive inverse-distance weighting interpolation method based on geological attribute spatial differentiation and geological attribute feature adaptation was proposed. This method takes into account the spatial differentiation of geological attributes to improve the accuracy and considers the first-order neighborhood selection strategy to adaptively improve efficiency to meet above requirements of large-scale geological modeling. The proposed method was applied to an area in eastern China, and the results of the proposed method, compared to the results of classical inverse-distance weighting interpolation and improved inverse-distance weighting interpolation, suggest that the problems encountered above in large-scale geological modeling can be solved with the proposed method. The method can provide effective support for large-scale 3D geological modeling in smart geology.


Author(s):  
Janneke van Bergen ◽  
Steffen Nijhuis ◽  
Jan Mulder ◽  
Kathelijne Wijnberg

Sandy shores offer a multitude of ecosystem services; regulating- (e.g. protection against flooding), production- (e.g. drinking water) and cultural services (e.g. recreation), all depending on the quality of supporting services (e.g. natural balances of water, nutrients and sediment). For sandy shores especially, the long-term physical existence is depending on the sediment balance. Therefore, based on Building with Nature (BwN) principles, sediment balances and -dynamics represent essential components of any spatial design of sustainable urbanized sandy shores. Examples of such design are nourishments where the sand balance of the system is amplified and natural dynamics distribute sediment ashore. This approach is used in the Netherlands to compensate for coastal erosion with a total yearly nourishment volume of 12 million m3 of sand. Typical magnitudes of individual nourishments are 1 to 2 million m3, whereas the Sand motor is an experimental mega nourishment of 20 million m3. After nourishment, the sediment is transported by natural processes (waves, tide, wind etc) contributing to the growth of dunes. The question is how to support this dune development, not just to improve the coastal safety, but also the combined use with other urban & ecological programs in the coastal zone. In this contribution we discuss spatial design principles and their influence on the transport of sediment for the formation of dunes; supporting flood safety, urban and landscape qualities. This requires an interplay of nourishment, directed sediment transport in the beach-dune interface and the desired buffer capacity established by the dunes. Depending on the preferred defence strategy (seaward, landward or consolidating) different spatial interventions can be made to enhance dune formation after nourishment.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/fNnVkDS1Gig


2021 ◽  
Vol 893 (1) ◽  
pp. 012059
Author(s):  
A Kurniawan ◽  
M Ryan ◽  
A M Rafi ◽  
B E A Haq ◽  
Sudirman ◽  
...  

Abstract An observation network will never be enough for creating good information about monthly rainfall. An interpolation method is always needed. For operational purposes, inverse distance weighting (IDW) method is used. In East Java, 197 observation points are involved, then IDW's parameters used are neighbor=12 and power=2. The consequences of this framework are investigated in this study. By reversing IDW's formula, two kinds of raster analyses are developed, distance to neighbor used (DNU) and coefficient from point (CFP). DNU shows how far points are used for doing interpolation in some area by kilometer (km) meanwhile CFP describes an area impacted by a point and value sent to another cell from an observation point. Data used in this study are longitude and latitude of 197 observation points. The scripts are written in R Language. Analysis based on local governmental region shows that Sumenep has very far DNU. In average, the first point used located more than 25 km, and its twelfth is 112 km (average other regions DNU1=7 km and DNU12=35 km). It means there should be a unique interpolation mechanism for Sumenep. CFP confirms that some points give impact in unnatural ways (impacted area=5741 km2). We propose DNU and CFP as alternative quality control parameters for investigating consequences in interpolating rainfall.


2018 ◽  
Vol 7 (2.2) ◽  
pp. 65 ◽  
Author(s):  
Bustani . ◽  
Sunu Pradana ◽  
Mulyanto . ◽  
Nurjanana .

Prediction of electricity sales becomes important for State Electricity Company of Indonesia (PLN) in order to estimate the Statement of Profit and Loss in next year. To obtain good predictive results may require many variables and data availability. There are many available methods that do not require so many variables to get predicted results with a good approximation. The aim of this study was to predict electricity sales by using an interpolation method called IDW (Inverse Distance Weighting). Several data samples are mapped into Cartesian coordinates. The data samples used are power connected to the household (X-axis), to industry (Y-axis), and electricity sales (Z value). Firstly, the sampled data clustered by using SOM algorithm. The Z value in each cluster is predicted by using the IDW method. The prediction results of IDW method are then optimized using ANN-BP (Artificial Neural Network Back Propagation). The trained net structure is then used to predict the electricity sale in next year.  


2015 ◽  
Vol 33 (2) ◽  
pp. 365-373
Author(s):  
R.F.M. Camicia ◽  
M.F. Maggi ◽  
E.G. Souza ◽  
S.O. Jadoski ◽  
R.G.M. Camicia ◽  
...  

This study aimed to assess the degree of similarity presented by thematic maps generated by different sampling grids of weed plants in a commercial agricultural area of 7.95 hectares. Monocotyledons and dicotyledons were counted on the 2012/2013 and 2013/2014 harvests, before soybean planting, in the fallow period after wheat harvest, in both years. A regular grid of 10 x 10 m was produced to sample the invasive plants, used as reference, and the counting was done in 1 m² of each sample point, totaling 795 samples in each year, compared to regular grids of 30 and 50 m, generated from the data exclusion of the standard grid. Twenty-two composite soil samples were taken at a depth of 0-20 cm to correlate soil properties with weeds occurrence. For the generation of the thematic maps, the Inverse Distance Weighting (IDW) for interpolation was used; when comparing the maps generated from each grid with the reference map, the kappa coefficient was used to assess the loss of quality of the maps as the number of sample points was reduced. It was observed that the map quality loss was lower in 2013 compared to 2012 when the sampling density of the points was reduced. The 30 x 30 m grids have satisfactorily described the infestation data of the dicotyledons and the 50 x 50 m grids have adequately described the monocotyledon weeds infestation, compared to the standard 10 x 10 m grids.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhanglin Li

AbstractMany geoscience problems involve predicting attributes of interest at un-sampled locations. Inverse distance weighting (IDW) is a standard solution to such problems. However, IDW is generally not able to produce favorable results in the presence of clustered data, which is commonly used in the geospatial data process. To address this concern, this paper presents a novel interpolation approach (DIDW) that integrates data-to-data correlation with the conventional IDW and reformulates it within the geostatistical framework considering locally varying exponents. Traditional IDW, DIDW, and ordinary kriging are employed to evaluate the interpolation performance of the proposed method. This evaluation is based on a case study using the public Walker Lake dataset, and the associated interpolations are performed in various contexts, such as different sample data sizes and variogram parameters. The results demonstrate that DIDW with locally varying exponents stably produces more accurate and reliable estimates than the conventional IDW and DIDW. Besides, it yields more robust estimates than ordinary kriging in the face of varying variogram parameters. Thus, the proposed method can be applied as a preferred spatial interpolation method for most applications regarding its stability and accuracy.


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