scholarly journals SPATIAL DISTRIBUTION OF BRACKISHWATER POND SOIL CHARACTERISTICS IN PEKALONGAN CITY CENTRAL JAVA PROVINCE

2011 ◽  
Vol 6 (1) ◽  
pp. 91
Author(s):  
Andi Indrajaya Asaad ◽  
Akhmad Mustafa
Keyword(s):  
Spatial Distribution ◽  
Soil Depth ◽  
Research Result ◽  
Soil Characteristics ◽  
Kriging Interpolation ◽  
Total N ◽  
Central Java ◽  
Kriging Interpolation Method ◽  
Brackishwater Pond ◽  
Central Java Province

Spatial distribution of brackishwater pond soil has a vital role in the system of bioenvironment including brackishwater pond environment. This research was aimed to determine the spatial distribution of brackishwater pond soil characteristics in Pekalongan City, Central Java Province. A total of 59 sampling points each with two different soil depth samplings were determined by simple random method. A total of 21 soil characteristics were measured in the field and analyzed further in the laboratory. Geostatistic with Kriging Interpolation method in the ArcGIS 9.3 software were used to depict the distribution of the data across the landscape. Furthermore, the spatial distribution was presented by using ALOS AVNIR-2 image. Research result indicates that in general, pond soil in Pekalongan City can be classified as soil with high variability or relatively heterogenic with the value of variation coefficient more than 36%. Soil characteristics which have similar pattern of spatial distribution are acid sulfate soil and soil nutrient content. High value of pH, organic matter, and total-N of soil, and on the other hand, low value of PO4 were generally found in the pond area of Krapyak Lor Village, while in Pekalongan City, it was found high clayish soil content but relatively homogenous. It is recommended that pond management must be based on soil characteristics which are different from one area to another. The soil characteristics itself can be drawn and assessed through spatial distribution.

Three-Dimensional Spatial Simulation and Distribution Characteristics of Soil Organic Matter in Coal Mining Subsidence Area

2020 ◽  
Vol 980 ◽  
pp. 437-448
Author(s):  
Hui Juan Zhang ◽  
Shou Chen Ma ◽  
Wen Kai Liu ◽  
He Bing Zhang ◽  
Song He Yuan
Keyword(s):  
Organic Matter ◽  
Spatial Distribution ◽  
Soil Organic Matter ◽  
Stochastic Simulation ◽  
Interpolation Method ◽  
Soil Depth ◽  
Simulation Method ◽  
Kriging Interpolation ◽  
Kriging Interpolation Method ◽  
Middle Slope

Underground mining has caused drastic disturbances to regional ecosystems and soil nutrients. Understanding the 3D spatial distribution of soil organic matter in coal arable land is crucial for agricultural production and environmental management. However, little research has been done on the three-dimensional modeling of soil organic matter. In this study, 3D kriging interpolation method and 3D stochastic simulation method were used to develop the 3D model of soil organic matter , and the root-mean-square error (RMSE) and mean error (ME) were used as evaluation indexes to compare the simulation accuracy of the two methods. Results showed that the spatial distribution of soil organic matter obtained by using 3D kriging interpolation method is relatively smooth, which reduce the difference of spatial data; while the spatial distribution of soil organic matter obtained by using 3D stochastic simulation method is relatively discrete and highlights the volatility of spatial distribution of raw data, the RMSE obtained by 3D kriging interpolation method and 3D stochastic simulation method respectively is 2.7711 g/kg and 1.8369 g/kg. The prediction accuracy of organic matter interpolation obtained by 3D stochastic simulation method is higher than that by 3D kriging interpolation method; so the 3D stochastic simulation method can reflect the spatial distribution characteristics of soil organic matter more realistically, and more suitable for 3D modeling of soil organic matter. According to the 3D modeling of soil organic matter, the content of soil organic matter has obvious spatial difference in different soil depth（0-20 cm、20-40 cm、40-60 cm） and decreases with the increase of soil depth; The result also showed that the content of soil organic matter decreased rapidly from the upper slope to the middle slope, and gradually increased from the middle slope to the bottom, so the soil organic matter content was obviously lost in the middle slope. This result may provide useful data for land reclamation and ecological reconstruction in coal mining subsidence area.

scholarly journals SPATIAL DISTRIBUTION OF SOME CHEMICAL CHARACTERISTICS OF AN ACID SULFATE SOIL-AFFECTED BRACKISHWATER PONDS IN THE COASTAL AREA OF LUWU REGENCY SOUTH SULAWESI PROVINCE

2014 ◽  
Vol 9 (1) ◽  
pp. 73
Author(s):  
Erna Ratnawati ◽  
Akhmad Mustafa
Keyword(s):  
Spatial Distribution ◽  
Coastal Area ◽  
Soil Nutrient ◽  
Simple Random Sampling ◽  
Soil Characteristics ◽  
Chemical Characteristics ◽  
Acid Sulfate Soil ◽  
Acid Sulfate ◽  
South Sulawesi ◽  
Brackishwater Pond

Spatial distribution of brackishwater pond soil has important role in the system of bioenvironment including brackishwater pond environment. This research was aimed to determine the spatial distribution of some chemical characteristics of an acid sulfate soil-affected brackishwater pond in coastal area of Luwu Regency South Sulawesi Province, Indonesia. ALOS AVNIR-2 images (acquisition 16 May 2008, 16 October 2008, 17 September 2009) were integrated with Indonesian Topographic maps to obtain base map. Sampling soil points were determined by simple random sampling in 104 points for two different soil depths i.e. 0-0.2 m and 0.5-0.7 m. A total of 18 soil chemical characteristics was measured in the field and analyzed in the laboratory. Geostatistic using kriging method in the ArcGIS 9.3 software was used to interpolate the data. The results of this study indicated that in general pond soil chemical characteristics in Luwu Regency could be categorized with high variability or relatively heterogenic wi th the value of var iation coefficient more than 36%. The soil characteristics that explain acidity had shown similar pattern in spatial distribution as well as other soil characteristics with soil nutrient. The high value of pH and low value of PO4 were generally found in the northern part of Luwu Regency, including East Lamasi, East Walenrang, Bua, and Ponrang Subdistricts. It is recommended that soil management in brackishwater ponds of Luwu Regency could be based on soil chemical characteristics so its could improve the production through minimizing the input, increasing carrying capacity, and avoiding environmental degradation.

scholarly journals Epidemiology and spatial distribution of Echinococcus granulosus in sheep and goats slaughtered in a hyperendemic European Mediterranean area

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Antonio Bosco ◽  
Leucio Camara Alves ◽  
Paola Cociancic ◽  
Alessandra Amadesi ◽  
Paola Pepe ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Echinococcus Granulosus ◽  
Interpolation Method ◽  
Mediterranean Area ◽  
Sensu Stricto ◽  
Kriging Interpolation ◽  
Sheep And Goats ◽  
Basilicata Region ◽  
Kriging Interpolation Method ◽  
Target Organs

Abstract Background Cystic echinococcosis (CE) is a worldwide parasitic zoonosis caused by the larval stage of Echinococcus granulosus sensu lato affecting livestock, particularly sheep and goats. However, often this parasitosis is underestimated. For this reason, this study aimed to evaluate the epidemiological features and spatial distribution of CE in sheep and goats slaughtered in a hyperendemic Mediterranean area. Methods A survey was conducted in the Basilicata region (southern Italy) from 2014 to 2019. A total of 1454 animals (1265 sheep and 189 goats) from 824 farms were examined for hydatid cyst detection by visual inspection, palpation and incision of target organs. All the CE cysts were counted and classified into five morphostructural types (unilocular, multiseptate, calcified, caseous and hyperlaminated). Molecular analysis was performed on 353 cysts. For spatial analysis, a kriging interpolation method was used to create risk maps, while clustering was assessed by Moran’s I test. Results CE prevalence of 72.2% (595/824) and 58.4% (849/1454) was observed at the farm and animal levels, respectively, with higher values in sheep (62.9%) than goats (28.0%). The liver and lungs were the most frequently infected organs in both sheep and goats. Most of recovered cysts were of the calcified and multiseptate morphotypes. All the isolates were identified as E. granulosus sensu stricto (genotypes G1–G3). Spatial distribution showed a moderate clustering of positive animals. Conclusion The findings of this study can be used to better understand the eco-epidemiology of echinococcosis and to improve CE surveillance and prevention programs in regions highly endemic for CE. Graphical abstract

scholarly journals The Level of Threats and Community Capacity Concerning to Landslide Emergency in Banjarnegara Indonesia

2021 ◽  
Vol 12 (4) ◽  
pp. 118-125
Author(s):  
Erni Suharini ◽  
◽  
Fakhfiyani Arfina ◽  
Edi Kurniawan
Keyword(s):  
Soil Depth ◽  
Research Result ◽  
Disaster Risk ◽  
Community Capacity ◽  
Disaster Mitigation ◽  
Soil Drainage ◽  
Central Java ◽  
Geological Conditions ◽  
Threat Level ◽  
High Level

Banjarnegara is one of the regions in Central Java which is very vulnerable to landslide disaster. This condition is motivated by the geological conditions and the metoerological conditions of Banjarnegara Regency that contributed to the high potential for landslides. One area in Banjarnegara Regency which is prone to landslides is Karangkobar Sub-District. From 2018, there have been 23 landslides in Karangkobar Sub-District, out of a total of 152 landslides that occurred in Banjarnegara. This study intended to determine the level of landslide threats in Karangkobar Sub-District and the level of community capacity in dealing with landslide threats in Karangkobar Sub-District. The method used in the study is scoring, geographic information systems, descriptive, Gutman scale, and comparative descriptive. Parameters used to determine the threat of landslides are rainfall, slope, soil type, land use, soil texture, soil drainage, and soil depth. While the parameters for the level of capacity are the rules and institutions for disaster management, early warning and disaster risk assessment, disaster education, reduction of basic risk factors, and preparedness development for all lines. Based on to the result, we know that the level of landslides in Karangkobar Sub-District consists of low landslide threat level that covers only 1% of the Karangkobar area, moderate landslide threat that covers 74% of the Karangkobar area, and High level of landslide threat that covers 25% of the entire Karangkobar area. Based on the research result shows that most of the Karangkobar Sub-District area still has a low capacity in dealing with disasters. The low capacity of the community in Karangkobar Sub-District will be a serious problem because of the large threat of landslides in the area. For this reason, disaster mitigation efforts are needed in the Karangkobar Sub-District community.

Spatial variability of soil organic carbon in the West Liao River Basin

2018 ◽  
Vol 64 (1-4) ◽  
pp. 25-34
Author(s):  
Yong-hua Zhu ◽  
Sheng Zhang ◽  
Biao Sun ◽  
Xiao-kang Xi ◽  
Yu Liu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Spatial Variability ◽  
Soil Depth ◽  
Soil Layer ◽  
Kriging Interpolation ◽  
Spherical Models ◽  
Basin Edge ◽  
Depth Increase

Quantification of the pattern and spatial distribution of soil organic carbon (SOC) is essential to comprehending many eco-hydrological processes. To obtain a better understanding of the spatial variability of SOC in a typical farming-pastoral zone, 270 soil samples were collected at 45 sampling sites from every 20 cm soil layer. Semi-variance function theory and ordinary Kriging interpolation were applied to identify the spatial variability of SOC. The results showed that SOC in the area was relatively low and decreased with depth and from the basin edge to the centre with a measured mean content of 0.07–0.65 g/kg. The strongest variability in the zone in the top soil layer (0–40 cm) was in the centre part of the zone, which was supposed to be the most concentrated area of human activities in the zone. As soil depth increase, the degree of variation of SOC decreased. Gaussian, exponential, and spherical models were suggested to successfully simulate SOC in different soil depth zones. The spatial distribution of SOC showed strong variability in the same soil depth zone, with a nugget to sill ratio of less than 14% and a range of 30–160 km.

scholarly journals Spatial Distribution and Epidemiology of Echinococcus Granulosus Infection in Sheep and Goats Slaughtered in a Hyperendemic European Mediterranean Area

2021 ◽  
Author(s):  
Antonio Bosco ◽  
Leucio Camara Alves ◽  
Paola Cociancic ◽  
Alessandra Amadesi ◽  
Paola Pepe ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Echinococcus Granulosus ◽  
Interpolation Method ◽  
Mediterranean Area ◽  
Sensu Stricto ◽  
Kriging Interpolation ◽  
Sheep And Goats ◽  
Basilicata Region ◽  
Kriging Interpolation Method ◽  
Target Organs

Abstract Background: Cystic echinococcosis (CE) is a parasitic zoonosis caused by the larval stage of Echinococcus granulosus, highly widespread in livestock, particularly sheep and goats. This study aimed to evaluate the spatial distribution of CE in sheep and goats slaughtered in a hyperendemic Mediterranean area.Methods: A survey was conducted in Basilicata region (southern Italy) from 2014 to 2019. A total of 1454 animals (1265 sheep and 189 goats) from 824 farms were examined for hydatid cysts detection by visual inspection, palpation and incision of target organs. All the CE cysts were counted and classified into five morphostructural types (unilocular, multisepted, calcified, caseous and hyperlaminated). The molecular analysis was performed on 50 cysts. For spatial analysis, kriging interpolation method was used to create risk maps, while the clustering was assessed by Moran’s I test.Results: CE prevalence of 72.2% (595/824) and 58.4% (849/1454) were observed at the farm and animal level, respectively, with higher values in sheep (62.9%) than goats (28.0%). The liver and lungs were the most frequently infected organs both in sheep and goats. Most of recovered cysts belonged to the calcified and multisepted morphotypes. All the isolates were identified as E. granulosus sensu stricto (genotypes G1-G3). Spatial distribution showed a moderate clustering of positive animals.Conclusions: The findings of this study can be used to better understand the eco-epidemiology of echinococcosis and to improve the CE surveillance and prevention programs in regions highly endemic for CE.

scholarly journals The Association between the Mapping Distribution of Melioidosis Incidences and Meteorological Factors in an Endemic Area: Ubon Ratchathani, Thailand (2009–2018)

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Jaruwan Wongbutdee ◽  
◽  
Wacharapong Saengnill ◽  
Jutharat Jittimanee ◽  
Pawana Panomket ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Minimum Temperature ◽  
Meteorological Factors ◽  
Interpolation Method ◽  
Public Health Problem ◽  
Kriging Interpolation ◽  
Maximum Temperature ◽  
Tropical Regions ◽  
Kriging Interpolation Method ◽  
Average Rainfall

Abstract Melioidosis is a public health problem in the tropical regions, occurring to meteorological variability. For 10 years of melioidosis outbreaks, we create probability maps of melioidosis distribution during 2009–2018 and determine the association with meteorological factors. The monthly average rainfall and incidence of melioidosis were high from July to September but they not significantly associated (P = 0.576). However, the monthly maximum and minimum temperature were significantly associated with melioidosis incidence (P = 0.002 and P = 0.029, respectively). We estimated the spatial distribution of rainfall and maximum and minimum temperature using the Co-Kriging interpolation method which found that the spatial distribution of the melioidosis incidence was significantly associated with rainfall in 2009, 2010, and 2015; with the maximum temperature in 2009, 2010, 2011, 2013, and 2015; and with the minimum temperature in 2010, 2011, and 2015. Our finding approach may support information and classify a pattern for melioidosis distribution. Keywords: Incidence, Melioidosis, Meteorological factors

scholarly journals PENGARUH PENGATURAN DEBIT INLET IPLC DENGAN PENURUNAN KADAR AMONIAK (NH3) PADA IPLC RSUD AJIBARANG KABUPATEN BANYUMAS TAHUN 2016

2017 ◽  
Vol 36 (2) ◽  
pp. 98-103
Author(s):  
Hendra Susanto ◽  
Agus Subagyo ◽  
Hari Rudijanto. IW
Keyword(s):  
Environmental Problem ◽  
Research Result ◽  
Liquid Waste ◽  
Edge Point ◽  
Central Java ◽  
Potential Resource ◽  
Hospital Wastes ◽  
The City ◽  
Test Result ◽  
Central Java Province

AbstractHospital liquid is the most potential resource of water pollution. The hospital wastes which containamoniac will cause several environmental problem such as eutrofikasi and an indication of organic mixturepollution which contain nitrogen. The goal of this research is to analizing the affect of IPLC RSUD Ajibarang. Inletdebit control with the decreation of amoniac rate at IPLC RSUD Ajibarang. The IPLC inlet debit control researchas 74,5 ltr/mnt, 68,5 ltr/mnt and 62,5 ltr/mnt. This kind of research is a pre eksperiment with pre and post testdesign approach. The collection of data been done by checking the amoniac rate of laboratory.The data presentedin table and structural narration. Data analization is using kruskal wallis statistik identification to identify thedifference of decreation amoniac rate with the control at inlet debit which is 74,5 ltr/mnt, 68,5 ltr/mnt and 62,5ltr/mnt.The result of the research gained is the rate amoniac IPLC RSUD Ajibarang with the control of inlet debitIPLC 74,5 ltr/mnt shown approximately 0,093 mg/ltr, inlet debit IPLC 68,5 ltr/mnt shown approximately0,075mg/ltr and inlet debit IPLC 62,5 ltr/mnt shown approximately0,050 mg/ltr. The edge point of amoniac is suitablewith the city regulation in Central Java Province No. 5 2012 at 0,1 mg/ltr. The test result is kruskal wallissignificant point at 0,000 0,05 (grade α) that lead Ho to an discharge of Ho or there is a decreation of amoniacrate with IPLC inlet debit control to IPLC RSUD Ajibarang liquid waste. Summarized by the researcherthat thereare significant decrease influence of amoniac rate at the control at IPLC RSUD Ajibarang inlet debit. The mosteffective to reduce amoniac rate is with the IPLC inlet debit 62,5 ltr/mnt. Suggested to the hospital’s Management toaccomplish the research result to reduce the amoniac rate in liquid waste

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