scholarly journals الخصائص الطبوغرافية وتقدير كمية الحصاد المائي في قاع الجفر

2020 ◽  
Vol 28 (4) ◽  
pp. 207-259
Author(s):  
ميسون الزغول ميسون الزغول
Keyword(s):  
Thiessen Polygon ◽  
Polygon Method

يُعد قاع الجفر التكتوني الأكبر في هضبة الأردن الجنوبية، ويحتل الجزء الأوسط من محافظة معان، وتبلغ مساحته 12400 كم²، ليشكل ما نسبته 37.7? من المساحة الكلية لمحافظة معان البالغة 32832 كم². وقد تشكل هذا الحوض نتيجة لسلسلة من الحركات التكتونية. وتُعد ظاهرة القيعان، ومناطق الانتشار المائي من أهم الأشكال الأرضية التي تميزه. والأهداف الأساسية لهذه الدراسة تمثلت في تحليل الخصائص الطبوغرافية، وتأثيرها على أنماط الأشكال الأرضية، وتقدير كمية الحصاد المائي في هذه المنطقة. وتم اشتقاق القيعان اعتماداً على الخريطة الطبوغرافية بمقياس 1: 50000، والصورة الفضائية لعام 2018وجاءت أبرز النتائج كما يلي: (1)- تميز التوزع الجغرافي للقيعان بالتركز في ثلاثة مناطق أساسية، على الرغم من انتشار القيعان على مساحة نسبتها 51% من مساحة منطقة الدراسة.(2)- تم اشتقاق 462 قاع جاف بمساحة قدرها 422.2كم²، والتي تُشّكل ما نسبته 3.4% من المساحة الكلية لمنطقة الدراسة، مع وجود اختلافات ذات دلالة في مساحاتها ما بين المساحة الصغيرة جداً حوالي 988,م² إلى الأكبر مساحة والمتمثلة بقاع الجفر والبالغة مساحتها250.1كم².(3)- أوضحت نتائج التحليل المكاني للقيعان أنها تتركز في المناطق ذات الارتفاعات ما بين 833-1047 م وبمتوسط ارتفاع 868.6م، وانحدار تراوح ما بين 0°-13°. Thiessen polygon method (4) تقدير معدل الأمطار المساحية الموزونة اعتماداً على نموذج معدل الأمطار للعام المطري 2016/2017 حوالي 6097.393 ملم، ومعدل عمق المياه في كافة القيعان حوالي 130.255 ملم خلال تلك السنة.

scholarly journals Groundwater Balance Study in the High Barind, Bangladesh

2013 ◽  
Vol 39 ◽  
pp. 11-26 ◽  
Author(s):  
AHM Selim Reza ◽  
Quamrul Hasan Mazumder ◽  
Mushfique Ahmed
Keyword(s):  
Groundwater Recharge ◽  
Groundwater Storage ◽  
Balance Study ◽  
Groundwater Balance ◽  
Thiessen Polygon ◽  
Storage Potential ◽  
Polygon Method ◽  
Annual Discharge

The annual groundwater recharge and discharge of aquifer of the Sapahar and Porsha Upazillas is estimated by Thiessen polygon method varies from 106.41 to 244 Mm3 and 93.77 to 291 Mm3 respectively. The calculated groundwater recharge of aquifer of the study area shows that the rate of groundwater recharge of aquifer in Porsha Upazilla is higher than that of Sapahar Upazilla and is characterized by very suitable groundwater storage potential. The overall groundwater balance study in the study area indicates that there exists a balance between annual recharge and withdrawal up to 1993 but after period of 1993 discharge exceeds the recharge continuing till today. But hereforth a cumulative annual deficit is found to exist because of progressive annual discharge in Sapahar Upazilla. 23.99 to 42.08 Mm3 of groundwater is discharged by discharging mechanisms. The rest of groundwater is discharged by natural seepage. DOI: http://dx.doi.org/10.3329/rujs.v39i0.16539 Rajshahi University J. of Sci. 39, 11-26 (2011)

scholarly journals Analisa Karakteristik Dan Distribusi Hujan Pada Kawasan DAS Batang Hari Kabupaten Dharmasraya

2019 ◽  
Vol 14 (2) ◽  
pp. 15
Author(s):  
Hartati -
Keyword(s):  
Catchment Area ◽  
Rainfall Intensity ◽  
Global Climate ◽  
Intensity Data ◽  
Water Control ◽  
Rainfall Distribution ◽  
Thiessen Polygon ◽  
Curve Method ◽  
Log Normal ◽  
Polygon Method

Batang Hari is the 2nd biggest DAS in Indonesia. About 76% of Batang Hari DAS is located in Jambi Province, the entire 24%is in West Sumatera Province. Batang Hari dam which was built on 1997 is one of infrastrcture at Public Work ministery under management at Balai Wilayah Sungai Sumatera V (BWSS V) his high potential of water stock. Optimum discharge of Batang Hari Dam is about 86 m3/sec. In the recently years DAS Batang Hari has been disturbed by some changes like catchment area utilized fot other purpose, change on global climate done to greenhouse effectwhich causingintensity of rain as well as flood. This climate change then will affected standard for engineering design for making a water control buiding which may injuireaccurate waterfall intensity data. Study of rainfall intensity obtained from 3 (three) nearby stations will show the characteristic dam trend of distribution with reperted period. Cousistency of data using Mass Curve method and local rain analysis to be done by Arithmatic & Thiessen Polygon method. To analysis trend of rainfall distribution. We use : Normal, Log Normal, Log Person type III and Gumbel methods. For complaince test of distribution, we use Chi-Kuadrat and Smirnov-Kolmogorov methods. Refer to result of distribution using Chi-Kuadrat and Smirnov-Kolmogorov methods for Arithmatic methods it is adviced to use Gumbel method to evaluate distribution trend; because critical deviation is smell comparing to available in table, with rainfall with repeating period 2,5,10,25,50 and 100 years are 124,08 mm, 1168,56 mm, 198,01 mm, 235,22 mm, 262,83 mm, 290,23 mm and Thiessen Polygon 106,93 mm, 138,22 mm, 158,94 mm, 185,11 mm, 204,53 mm, 223,81 mm

scholarly journals The Universal Kriging Mapping of the Neogene EL-markers Rs5 and Δ, Northern Croatia

2018 ◽  
Vol 65 (4) ◽  
pp. 187-198 ◽  
Author(s):  
Ivana Mesić Kiš ◽  
Tomislav Malvić
Keyword(s):  
Regional Scale ◽  
Universal Kriging ◽  
Kriging Interpolation ◽  
Regular Grid ◽  
Southwestern Part ◽  
Depth Data ◽  
Thiessen Polygon ◽  
Northern Croatia ◽  
Polygon Method ◽  
Selection Of

AbstractThe area of the Bjelovar Subdepression in Northern Croatia, which represents the southwestern part of Drava’s depression, has been analysed. More than 700 depth data were collected in a regular grid covering the existing structural maps of e-log markers Rs5, Z’ and Δ, with cells 2 x 2 km in size. For zonal assessment, Thiessen polygon method was used as introductory analysis preceding Kriging interpolation on regional scale. The emphasis was on OK and UK interpolation, their comparison and selection of most appropriate method for mapping. Crossvalidation results proved UK technique to be the most appropriate in mapping of e-log markers Rs5 and Δ, thus acquiring the most accurate maps so far of the analysed Neogene area.

scholarly journals Analysis of Variability in Rainfall Patterns in Greater Rajshahi Division using GIS

2015 ◽  
Vol 7 (2) ◽  
pp. 141-149
Author(s):  
M Shamsuzzoha ◽  
A Parvez ◽  
AFMK Chowdhury
Keyword(s):  
Secondary Data ◽  
Annual Rainfall ◽  
Rainfall Distribution ◽  
Contour Lines ◽  
Time Period ◽  
Thiessen Polygon ◽  
Weather Stations ◽  
Rainfall Patterns ◽  
Polygon Method

The study entitled ‘Analysis of Changes in Rainfall Patterns in Rajshahi Division using GIS’ is an experimental climatological research. The main objectives of the study is to examine the long-term changes in rainfall patterns of Rajshahi Division. Secondary data of rainfall distribution have been collected from Bangladesh Meteorological Department (BMD), Dhaka. The study has analysed monthly, seasonal and annual rainfall distribution pattern from 1962 to 2007 of five selected weather stations namely Bogra, Dinajpur, Ishurdi, Rajshahi and Rangpur. For convenience of analysis, the data has been divided into two halves of time period as 1962-1984 and 1985-2007. Based on GIS, the study gifts the spatial analysis of rainfall patten using Thiessen Polygon Method, Isohytal and Hytograph Method and Percentage Method. It has been found that there is evidence of annual rainfall change with an increasing pattern in Bogra, Dinajpur, Rajshahi and Rangpur. In these four stations, the changing pattern in Rangpur is the highest. Downward shift of annual rainfall shows a decreasing pattern in Ishurdi. The descending order of monthly and seasonal rainfall pattern for Ishurdi, Rajshahi and Rangpur has been found as July > June > September >August > October > April > March > February > November > December. Although Bogra and Dinajpur have contained this trend in the same order from July to March, anomalies pattern has been found for last four months. The seasonal variation of rainfall has been established as Monsoon > Pre – Monsoon > Post Monsoon > Winter for all those five stations. Evaluating the rainfall contour lines, it has been found that the rainfall annually varies from 1542.1 mm to 2235.8 mm in Rajshahi Division. The average number of rainy days in this region mostly varies from 86 to 112 days per year.DOI: http://dx.doi.org/10.3329/jesnr.v7i2.22223 J. Environ. Sci. & Natural Resources, 7(2): 141-149 2014

scholarly journals The Natural Disaster Prone Index Map Model in Indonesia Using the Thiessen Polygon Method

2021 ◽  
Vol 5 (2) ◽  
pp. 148-160
Author(s):  
Kevin Hendra William ◽  
Kristoko Dwi Hutomo
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Natural Phenomena ◽  
Tectonic Plates ◽  
Low Level ◽  
Thiessen Polygon ◽  
High Level ◽  
The Impact ◽  
Volcanic Belts ◽  
Polygon Method

Natural Disasters are natural phenomena that occur at any moment that can cause loss. Indonesia is an archipelagic country located at the meeting of four tectonic plates and volcanic belts. This condition causes Indonesia to be prone to natural disasters. Therefore, it is necessary to make a natural disaster-prone index map model minimize the impact of natural disasters. In this research, the researchers used a Polygon Thiessen method for it was one of the mapping methods to determine a natural disaster based on Indonesia's vast surface and many disasters. The BNPB and Polygon Thiessen data comparison shows that BNPB data has a low level of vulnerability of 302, a moderate level of vulnerability of 148, and a high level of vulnerability of 58. In contrast, the Thiessen polygon has a low level of vulnerability of 297, a moderate vulnerability of 158, and a high vulnerability of 59. Comparing BNPB data and the Thiessen Polygon method found five differences from 40 data in the Papua region. Suggestions for further research to create an application-based information system so that it can be accessed in real-time.

scholarly journals HOTSPOT ANALYSIS OF HAND FOOT AND MOUTH DISEASE (HFMD) USING GIS IN KUCHING, SARAWAK, MALAYSIA

2019 ◽  
Vol 7 (2) ◽  
pp. 36-44
Author(s):  
Busiai Bin Seman ◽  
Tarmiji Masron
Keyword(s):  
Foot And Mouth Disease ◽  
Health Department ◽  
City Council ◽  
Hotspot Analysis ◽  
The Public ◽  
Western Area ◽  
Gis Technique ◽  
Thiessen Polygon ◽  
The Village ◽  
Polygon Method

Purpose of the study: The main objective of this study was to identify the hotspot area of HFMD reported cases within two local councils, namely, Kuching North City Council and Kuching South City Council, by using Geographic Information System (GIS) technique. Methodology: Two methods, namely, Getis-Ord GI* and Thiessen polygon, were used in this study. Getis-Ord GI* statistics was used to identify the hotspot areas and Thiessen polygon method was used to create an influencing boundary for each village. The analysis was conducted from 2014 to 2018 on the basis of the cases reported and registered with Sarawak Health Department by using ArcGIS Software. Main Findings: The hotspot areas were confined to the Western area of Kuching North City Council, which is located at Rampangi Fasa II and Semariang Pinggir villages. Subsequently, in Kuching South City Council, there were two villages were identified as hotspot areas at Kampung Stampin and Kampung Stutong Baru. Applications of this study: The findings from this study will help local authorities, public health officers, epidemiologists, and the public to identify the hotspot areas of HFMD occurrences and therefore, the information obtained in this study will be of a great help to them in coming up with the necessary mitigation plan to control this disease before it spreads to other locations. Novelty/Originality of this study: Previous studies conducted in Sarawak on HFMD were based on divisional boundaries, which were too broad to be used as a guide for mitigation planning. Therefore, the outcome from this study, which was based on the village boundary, provides more information on the hotspot areas of HFMD at a micro level.

scholarly journals Characteristics of Landslide and Rainfall Areas in Majalengka Regency, West Java Province

2021 ◽  
Vol 884 (1) ◽  
pp. 012054
Author(s):  
S Fathaya ◽  
E Kusratmoko ◽  
R Saraswati
Keyword(s):  
Clustering Analysis ◽  
Heavy Rainfall ◽  
Landslide Hazard ◽  
Physical Factors ◽  
Vegetation Density ◽  
Analysis Method ◽  
West Java ◽  
Cumulative Rainfall ◽  
Thiessen Polygon ◽  
Polygon Method

Abstract Majalengka Regency is one of the districts with a high landslide hazard in West Java Province. They are mostly affected by heavy rainfall or prolonged rain. This study aims to classify landslide events in 2018-2019 based on physical factors consisting of slopes, soil types, lithology, land use, and vegetation density using the K-Means Clustering analysis method. To analyze the characteristics of rainfall that triggered landslides in 2018-2019 using the Thiessen polygon method. The results showed that the clustering of landslide events in 2018-2019 in Majalengka Regency was formed five clusters with the highest rainfall on the D-Day average in cluster 5, which is 49 mm/day. The highest average cumulative rainfall 3 days before the landslide events was in cluster 4, which is 80 mm/day. The highest average cumulative rainfall 5 days before the landslide events was in cluster 3 is 112 mm/day. The highest average cumulative rainfall 10 days before the landslide events was in cluster 1, which is 174 mm/day.

scholarly journals Rainfall Analysis of the Makassar City using Thiessen Polygon Method Based on GIS

2020 ◽  
Vol 15 (6) ◽  
pp. 1426-1430
Author(s):  
Sudirman Nganro ◽  
Slamet Trisutomo ◽  
Roland A. Barkey ◽  
Mukti Ali
Keyword(s):  
Rainfall Analysis ◽  
Thiessen Polygon ◽  
Polygon Method
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