National Pistachio Crop Estimate

Total Page:16

File Type:pdf, Size:1020Kb

National Pistachio Crop Estimate National Pistachio Crop Estimate Bearing 2020 Crop 2019 Crop 2018 Crop 2017 Crop 2016 Crop 2015 Crop 2014 Crop 2013 Crop Area Region/Province Hectares Tons Tons Tons Tons Tons Tons Tons Tons Rafsanjan 68,000 22,000 80,000 4,000 70,000 38,000 50,000 80,000 38,000 Anar 8,000 18,000 Sirjan 30,000 12,000 18,000 2,500 28,000 13,000 20,000 31,000 20,000 Kerman (County) 30,000 5,000 18,000 1,500 19,000 16,000 15,000 12,000 16,500 Zarand 20,000 4,500 17,000 500 20,000 14,000 12,000 9,000 14,000 Shahr‐e‐Babak 7,000 3,000 9,000 500 4,500 6,000 8,000 6,500 7,000 Ravar 4,500 2,500 1,000 500 4,000 2,000 5,000 5,000 4,500 Rayen 1,500 1,500 1,000 500 1,000 1,000 1,500 1,000 1,000 Others 2,000 500 1,000 500 1,500 1,000 500 1,000 1,000 Kerman Total 175,000 105,000 105,000 10,500 148,000 91,000 112,000 145,500 102,000 Razavi Khorasan 60,000 34,000 35,000 17,000 25,000 25,000 35,000 35,000 20,500 South Khorasan 11,000 12,000 12,000 4,500 10,000 7,500 10,000 11,000 4,000 Yazd 35,000 9,000 22,000 2,500 12,000 7,000 24,000 11,000 20,000 Fars 14,000 6,000 11,000 2,500 7,500 6,000 8,000 9,000 7,500 Markazi 8,000 4,500 4,500 4,000 4,000 3,000 2,500 3,000 2,000 Tehran 4,000 4,500 4,000 4,000 5,000 4,000 5,000 4,000 2,000 Qom 4,000 4,000 2,000 2,000 3,000 2,500 2,000 2,000 1,500 Semnan 13,000 3,500 4,000 2,000 3,000 1,500 4,000 4,000 2,000 Esfahan 4,000 2,500 2,000 500 1,500 1,000 2,000 500 2,000 Sistan‐o‐Baluchestan 4,000 2,000 1,500 500 3,000 2,000 2,000 2,000 2,000 Qazvin 3,000 2,000 1,500 500 2,500 1,000 2,000 1,000 2,000 Others 1,700 1,000 500 1,500 500 1,500 1,500 2,000 2,500 Others Total 161,700 85,000 100,000 41,500 77,000 62,000 98,000 84,500 68,000 Subtotal Iran 336,700 190,000 205,000 52,000 225,000 153,000 210,000 230,000 170,000 Note: The tonnage figures in the table do not include the pistachio production which is consumed fresh in‐hull as fruit. Source: Post‐harvest Estimates by Iran Pistachio Association Complete Monthly and YTD Export Shipments Compared to Last 6 Years in Tons Marketing Month: 3 Crop: 2020 Month 123 456789101112 Crop Monthly 25,150 38,518 25,242 2020 YTD 25,150 63,668 88,910 Monthly 10,164 19,693 14,226 13,760 12,757 14,495 2,642 9,209 9,841 13,164 9,899 10,336 2019 YTD 10,164 29,856 44,082 57,842 70,599 85,094 87,737 96,946 106,787 119,951 129,850 140,186 Monthly 3,540 4,671 3,211 3,310 2,581 4,503 1,618 5,794 4,205 4,972 3,628 3,359 2018 YTD 3,540 8,211 11,422 14,733 17,314 21,817 23,435 29,229 33,434 38,406 42,034 45,393 Monthly 18,611 31,365 25,158 13,282 10,120 10,866 3,628 5,818 4,384 5,586 4,216 3,946 2017 YTD 18,611 49,977 75,132 88,415 98,535 109,403 113,031 118,856 123,241 128,827 133,043 136,989 Monthly 21,742 26,054 18,134 10,757 9,500 11,123 2,817 6,129 4,882 2,768 2,329 2,089 2016 YTD 21,742 47,791 65,918 76,650 86,150 97,273 100,090 106,218 111,100 113,869 116,198 118,287 Monthly 20,578 18,455 21,887 14,126 11,549 11,510 3,754 8,865 9,876 6,126 6,105 6,224 2015 YTD 20,578 39,032 60,919 75,046 86,595 98,105 101,859 110,724 120,600 126,726 132,831 139,055 Monthly 32,023 32,255 24,218 18,875 14,798 9,020 2,090 7,975 7,062 5,480 4,445 5,460 2014 YTD 32,023 64,282 88,500 107,375 122,163 131,183 133,274 141,238 148,299 153,771 158,219 163,680 Source: IRI Customs Administration Complete Monthly and YTD Export Shipments ‐ Product Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4 5 678 9 10 11 12 Product Monthly 21,318 31,989 21,140 Open In‐Shell YTD 21,318 53,308 74,447 Monthly 2,000 4,648 1,962 Closed Shell YTD 2,000 6,648 8,610 Monthly 1,355 1,798 2,003 Kernel YTD 1,355 3,154 5,157 GPPK & Monthly 173 58 127 Split Kernel YTD 173 231 358 Monthly 303 25 10 Others YTD 303 329 338 Monthly 25,150 38,518 25,242 Total YTD 25,150 63,668 88,910 Iran Pistachio Association Annual Report Complete Monthly and YTD Export Shipments ‐ Destination Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4567891011 12 Destination Monthly 14,640 27,620 11,405 Far East YTD 14,640 42,260 53,665 Indian Monthly 3,460 2,578 3,940 Subcontinent YTD 3,460 6,039 9,979 Monthly 1,549 2,393 2,839 CIS YTD 1,549 3,942 6,782 Re‐Export Monthly 1,970 2,185 2,273 Markets YTD 1,970 4,156 6,428 Monthly 1,655 1,503 2,282 Middle East YTD 1,655 3,157 5,440 Monthly 1,407 1,687 1,707 EU‐15 YTD 1,407 3,094 4,801 Monthly 295 265 385 Other Europe YTD 295 560 944 Monthly 29 146 128 North America YTD 29 174 303 Monthly 42 73 176 Others YTD 42 115 291 Monthly 103 68 107 North Africa YTD 103 171 278 Monthly 25,150 38,518 25,242 Total YTD 25,150 63,668 88,910 Compiled by: IPA based on IRI Customs Administration raw data Iran Pistachio Association Annual Report Complete Monthly Export Shipments ‐ Country Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4 5 6 7 8 9 101112Total Country EU15 Austria 20 ‐ ‐ Belgium ‐ ‐ ‐ Denmark ‐ ‐ ‐ Finland ‐ ‐ ‐ France ‐ ‐ ‐ Germany 783 680 916 Greece ‐ 20 20 Ireland ‐ ‐ ‐ Italy 562 953 662 Luxembourg ‐ ‐ ‐ Netherland 0 12 ‐ Portugal ‐ ‐ ‐ Spain 38 ‐ 88 Sweden ‐ 0 20 UK 4 22 ‐ EEC ‐ ‐ ‐ EU15 ‐ Total 1,407 1,687 1,707 EU15 ‐ % 6% 4% 7% Iran Pistachio Association 1 / 6 Annual Report Complete Monthly Export Shipments ‐ Country Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4 5 6 7 8 9 101112Total Country Other Europe Albania 1 5 5 Belarus 86 20 84 Bosnia ‐ 3 7 Bulgaria ‐ 31 22 Croatia ‐ ‐ ‐ Cyprus ‐ ‐ ‐ Czech Republic ‐ 20 ‐ Estonia ‐ ‐ ‐ Hungry ‐ 22 ‐ Iceland ‐ ‐ ‐ Kosovo ‐ ‐ ‐ Latvia ‐ ‐ ‐ Lithuania ‐ ‐ ‐ Macedonia 15 10 18 Malta ‐ ‐ ‐ Moldova 4 ‐ ‐ Montenegro ‐ ‐ ‐ Norway ‐ ‐ ‐ Poland 21 23 24 Romania ‐ ‐ ‐ Serbia ‐ 25 3 Slovakia 87 ‐ 44 Slovenia ‐ ‐ ‐ Switzerland 0 3 ‐ Ukraine 82 103 178 Other Europe ‐ Total 295 265 385 Other Europe ‐ % 1% 1% 2% Iran Pistachio Association 2 / 6 Annual Report Complete Monthly Export Shipments ‐ Country Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4 5 6 7 8 9 101112Total Country CIS Armenia 0 19 122 Azerbaijan 10 ‐ 15 Georgia ‐ 25 72 Kazakhstan 315 681 694 Kyrgyzstan 486 448 776 Russia 591 1,120 1,076 Tajikistan 36 42 ‐ Turkmenistan ‐ ‐ ‐ Uzbekistan 110 59 83 CIS ‐ Total 1,549 2,393 2,839 CIS ‐ % 6% 6% 11% North Africa Algeria 39 32 70 Egypt 12 24 ‐ Ethiopia ‐ ‐ ‐ Libya 12 ‐ 25 Morocco ‐ 12 12 Nigeria ‐ ‐ ‐ Sudan ‐ ‐ ‐ Tunisia 40 ‐ ‐ North Africa ‐ Total 103 68 107 North Africa ‐ % 0% 0% 0% Iran Pistachio Association 3 / 6 Annual Report Complete Monthly Export Shipments ‐ Country Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4 5 6 7 8 9 101112Total Country Middle East Bahrain ‐ 1 ‐ Iraq 1,251 1,098 1,509 Jordan 202 158 175 Kuwait 77 54 304 Lebanon 46 61 109 Oman 1 32 13 Qatar 29 52 47 Saudi Arabia ‐ ‐ ‐ Syria 50 46 125 Yemen ‐ ‐ ‐ Middle East ‐ Total 1,655 1,503 2,282 Middle East ‐ % 7% 4% 9% Re‐Export Markets Turkey 926 1,128 1,377 UAE 1,044 1,058 895 REM ‐ Total 1,970 2,185 2,273 REM ‐ % 8% 6% 9% Indian Subcontinent Afghanistan 121 148 137 Bangladesh 10 11 22 India 2,149 1,631 2,331 Nepal ‐ ‐ ‐ Pakistan 1,180 788 1,450 Sri Lanka ‐ ‐ ‐ Indian Subcontinent ‐ Total 3,460 2,578 3,940 Indian Subcontinent ‐ % 14% 7% 16% Iran Pistachio Association 4 / 6 Annual Report Complete Monthly Export Shipments ‐ Country Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4 5 6 7 8 9 101112Total Country Far East China 14,397 26,665 10,785 Hong Kong 176 676 377 Indonesia ‐ 0 ‐ Japan ‐ 20 0 Korea ‐ ‐ 8 Macao ‐ ‐ ‐ Malaysia 4 37 18 Philippines ‐ ‐ ‐ Singapore 36 61 70 Taiwan 25 125 147 Thailand 2 3 ‐ Vietnam ‐ 33 ‐ Far East ‐ Total 14,640 27,620 11,405 Far East ‐ % 58% 72% 45% North America Canada 29 46 78 Mexico ‐ 100 50 USA ‐ ‐ ‐ North America ‐ Total 29 146 128 North America ‐ % 0% 0% 1% Iran Pistachio Association 5 / 6 Annual Report Complete Monthly Export Shipments ‐ Country Breakdown in Tons Marketing Month: 3 Crop: 2020 Month 123 4 5 6 7 8 9 101112Total Country Other Argentina ‐ ‐ ‐ Australia 15 53 96 Brazil 27 18 75 Chile ‐ 2 4 Colombia ‐ ‐ ‐ Dominican Republic ‐ ‐ ‐ Ecuador ‐ ‐ ‐ Kenya ‐ ‐ 1 Liberia ‐ ‐ ‐ Mozambique ‐ ‐ ‐ New Zealand ‐ ‐ ‐ Nicaragua ‐ ‐ ‐ Other_1 ‐ 1 ‐ Other_2 ‐ ‐ ‐ Other_3 ‐ ‐ ‐ Other_4 ‐ ‐ ‐ Panama ‐ ‐ ‐ Paraguay ‐ ‐ ‐ Senegal ‐ ‐ ‐ South Africa 0 0 ‐ Tanzania ‐ ‐ ‐ Uruguay ‐ ‐ ‐ Venezuela ‐ ‐ ‐ Zambia ‐ ‐ ‐ Zimbabwe ‐ ‐ ‐ Other ‐ Total 42 73 176 Other ‐ % 0% 0% 1% Total Iranian Export 25,150 38,518 25,242 Compiled by: IPA based on IRI Customs Administration raw data Iran Pistachio Association 6 / 6 Annual Report.
Recommended publications
  • Sand Dune Systems in Iran - Distribution and Activity
    Sand Dune Systems in Iran - Distribution and Activity. Wind Regimes, Spatial and Temporal Variations of the Aeolian Sediment Transport in Sistan Plain (East Iran) Dissertation Thesis Submitted for obtaining the degree of Doctor of Natural Science (Dr. rer. nat.) i to the Fachbereich Geographie Philipps-Universität Marburg by M.Sc. Hamidreza Abbasi Marburg, December 2019 Supervisor: Prof. Dr. Christian Opp Physical Geography Faculty of Geography Phillipps-Universität Marburg ii To my wife and my son (Hamoun) iii A picture of the rock painting in the Golpayegan Mountains, my city in Isfahan province of Iran, it is written in the Sassanid Pahlavi line about 2000 years ago: “Preserve three things; water, fire, and soil” Translated by: Prof. Dr. Rasoul Bashash, Photo: Mohammad Naserifard, winter 2004. Declaration by the Author I declared that this thesis is composed of my original work, and contains no material previously published or written by another person except where due reference has been made in the text. I have clearly stated the contribution by others to jointly-authored works that I have included in my thesis. Hamidreza Abbasi iv List of Contents Abstract ................................................................................................................................................. 1 1. General Introduction ........................................................................................................................ 7 1.1 Introduction and justification ........................................................................................................
    [Show full text]
  • A Framework for Empirical Assessment of Agricultural Sustainability: the Case of Iran
    sustainability Article A Framework for Empirical Assessment of Agricultural Sustainability: The Case of Iran Siavash Fallah-Alipour 1, Hossein Mehrabi Boshrabadi 1,*, Mohammad Reza Zare Mehrjerdi 1 and Dariush Hayati 2 1 Department of Agricultural Economics, College of Agriculture, Shahid Bahonar University of Kerman, Kerman 76169-13439, Iran; [email protected] (S.F.-A.); [email protected] (M.R.Z.M.) 2 Department of Agricultural Extension & Education, College of Agriculture, Shiraz University, Shiraz 71441-65186, Iran; [email protected] * Correspondence: [email protected]; Tel.: +98-34-3132-2606 Received: 22 September 2018; Accepted: 27 November 2018; Published: 17 December 2018 Abstract: In developing countries, agricultural development is still a fundamental means of poverty alleviation, economic development and, in general, sustainable development. Despite the great emphasis on sustainable agricultural development, it seems that there are many practical difficulties towards empirical assessment of agricultural sustainability. In this regard, the present study aims to propose a comprehensive framework for the assessment of agricultural sustainability and present an empirical application of the proposed framework in south-east Iran (Kerman province). The framework is based on a stepwise procedure, involving: (1) The calculation of economic, social, environmental, political, institutional and demographic indicators, covering the actual and potential aspects of unsustainability; (2) the application of Fuzzy Pairwise Comparisons
    [Show full text]
  • Interseismic Slip-Rate of the Kuhbanan-Lakar Kuh Faults System: Using Insar Technique
    EH-09260582 INTERSEISMIC SLIP-RATE OF THE KUHBANAN-LAKAR KUH FAULTS SYSTEM: USING INSAR TECHNIQUE Sajjad MOLAVI VARDANJANI M.Sc. Student, Graduate University of Advanced Technology, Kerman, Iran [email protected] Majid SHAHPASANDZADEH Associate Professor, Graduate University of Advanced Technology, Kerman, Iran [email protected] Ali ESMAEILY Assistant Professor, Dept. of Surveying Eng., Graduate University of Advanced Technology, Kerman, Iran [email protected] Mohammad Reza SEPAHVAND Assistant Professor, Graduate University of Advanced Technology, Kerman, Iran [email protected] Saeede KESHAVARZ Assistant Professor, Graduate University of Advanced Technology, Kerman, Iran [email protected] Keywords: Interseismic deformation, Geodetic fault slip-rate, InSAR, Kerman, Kuhbanan-Lakar Kuh fault system The Kuhbanan fault with ~ 300 km length, one of the largest seismogenic faults in the southeast of Iran, has caused st st several catastrophic earthquakes with Ms 5-6.2 in 20 -21 centuries (Table 1). Moreover, the corresponding cross-thrusts were also associated with at least five clusters of medium-magnitude earthquakes. The Lakar Kuh fault with ~160 km length run parallel to the Nayband fault (Figure 1). The slip-rate of faults and also the spatio-temporal distribution of large-magnitude shallow-depth earthquakes on the Kuhbanan-Lakar Kuh fault system, attain broad concern for seismic hazard assessment (Figure 1). The horizontal slip-rate of the Kuhbanan fault is estimated ~1–2 mm/yr (Walker et al., 2012). Furthermore, the total horizontal displacement of the fault is reported ~5–7 km, as determined by the offset geological markers (Table 2). Table 1.
    [Show full text]
  • See the Document
    IN THE NAME OF GOD IRAN NAMA RAILWAY TOURISM GUIDE OF IRAN List of Content Preamble ....................................................................... 6 History ............................................................................. 7 Tehran Station ................................................................ 8 Tehran - Mashhad Route .............................................. 12 IRAN NRAILWAYAMA TOURISM GUIDE OF IRAN Tehran - Jolfa Route ..................................................... 32 Collection and Edition: Public Relations (RAI) Tourism Content Collection: Abdollah Abbaszadeh Design and Graphics: Reza Hozzar Moghaddam Photos: Siamak Iman Pour, Benyamin Tehran - Bandarabbas Route 48 Khodadadi, Hatef Homaei, Saeed Mahmoodi Aznaveh, javad Najaf ...................................... Alizadeh, Caspian Makak, Ocean Zakarian, Davood Vakilzadeh, Arash Simaei, Abbas Jafari, Mohammadreza Baharnaz, Homayoun Amir yeganeh, Kianush Jafari Producer: Public Relations (RAI) Tehran - Goragn Route 64 Translation: Seyed Ebrahim Fazli Zenooz - ................................................ International Affairs Bureau (RAI) Address: Public Relations, Central Building of Railways, Africa Blvd., Argentina Sq., Tehran- Iran. www.rai.ir Tehran - Shiraz Route................................................... 80 First Edition January 2016 All rights reserved. Tehran - Khorramshahr Route .................................... 96 Tehran - Kerman Route .............................................114 Islamic Republic of Iran The Railways
    [Show full text]
  • Coleoptera: Meloidae) in Kerman Province, Iran
    J Insect Biodivers Syst 07(1): 1–13 ISSN: 2423-8112 JOURNAL OF INSECT BIODIVERSITY AND SYSTEMATICS Research Article https://jibs.modares.ac.ir http://zoobank.org/References/216741FF-63FB-4DF7-85EB-37F33B1182F2 List of species of blister beetles (Coleoptera: Meloidae) in Kerman province, Iran Sara Sadat Nezhad-Ghaderi1 , Jamasb Nozari1* , Arastoo Badoei Dalfard2 & Vahdi Hosseini Naveh1 1 Department of Plant Protection, Faculty of Agriculture and Natural Resources, University of Tehran, Karaj, Iran. [email protected]; [email protected]; [email protected] 2 Department of Biology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, Iran. [email protected] ABSTRACT. The family Meloidae Gyllenhaal, 1810 (Coleoptera), commonly known as blister beetles, exist in warm, dry, and vast habitats. This family was studied in Kerman province of Iran during 2018–2019. The specimens were Received: collected using sweeping net and via hand-catch. They were identified by the 23 December, 2019 morphological characters, genitalia, and acceptable identification keys. To improve the knowledge of the Meloidae species of southeastern Iran, faunistic Accepted: 11 September, 2020 investigations on blister beetles of this region were carried out. Totally, 30 species belonging to 10 genera from two subfamilies (Meloinae and Published: Nemognathinae) were identified. Among the identified specimens, 22 species 14 September, 2020 were new for fauna of Kerman province. Subject Editor: Sayeh Serri Key words: Meloidae, Southeastern Iran, Meloinae, Nemognathinae, Fauna Citation: Nezhad-Ghaderi, S.S., Nozari, J., Badoei Dalfard, A. & Hosseini Naveh, V. (2021) List of species of blister beetles (Coleoptera: Meloidae) in Kerman province, Iran. Journal of Insect Biodiversity and Systematics, 7 (1), 1–13.
    [Show full text]
  • Mayors for Peace Member Cities 2021/10/01 平和首長会議 加盟都市リスト
    Mayors for Peace Member Cities 2021/10/01 平和首長会議 加盟都市リスト ● Asia 4 Bangladesh 7 China アジア バングラデシュ 中国 1 Afghanistan 9 Khulna 6 Hangzhou アフガニスタン クルナ 杭州(ハンチォウ) 1 Herat 10 Kotwalipara 7 Wuhan ヘラート コタリパラ 武漢(ウハン) 2 Kabul 11 Meherpur 8 Cyprus カブール メヘルプール キプロス 3 Nili 12 Moulvibazar 1 Aglantzia ニリ モウロビバザール アグランツィア 2 Armenia 13 Narayanganj 2 Ammochostos (Famagusta) アルメニア ナラヤンガンジ アモコストス(ファマグスタ) 1 Yerevan 14 Narsingdi 3 Kyrenia エレバン ナールシンジ キレニア 3 Azerbaijan 15 Noapara 4 Kythrea アゼルバイジャン ノアパラ キシレア 1 Agdam 16 Patuakhali 5 Morphou アグダム(県) パトゥアカリ モルフー 2 Fuzuli 17 Rajshahi 9 Georgia フュズリ(県) ラージシャヒ ジョージア 3 Gubadli 18 Rangpur 1 Kutaisi クバドリ(県) ラングプール クタイシ 4 Jabrail Region 19 Swarupkati 2 Tbilisi ジャブライル(県) サルプカティ トビリシ 5 Kalbajar 20 Sylhet 10 India カルバジャル(県) シルヘット インド 6 Khocali 21 Tangail 1 Ahmedabad ホジャリ(県) タンガイル アーメダバード 7 Khojavend 22 Tongi 2 Bhopal ホジャヴェンド(県) トンギ ボパール 8 Lachin 5 Bhutan 3 Chandernagore ラチン(県) ブータン チャンダルナゴール 9 Shusha Region 1 Thimphu 4 Chandigarh シュシャ(県) ティンプー チャンディーガル 10 Zangilan Region 6 Cambodia 5 Chennai ザンギラン(県) カンボジア チェンナイ 4 Bangladesh 1 Ba Phnom 6 Cochin バングラデシュ バプノム コーチ(コーチン) 1 Bera 2 Phnom Penh 7 Delhi ベラ プノンペン デリー 2 Chapai Nawabganj 3 Siem Reap Province 8 Imphal チャパイ・ナワブガンジ シェムリアップ州 インパール 3 Chittagong 7 China 9 Kolkata チッタゴン 中国 コルカタ 4 Comilla 1 Beijing 10 Lucknow コミラ 北京(ペイチン) ラクノウ 5 Cox's Bazar 2 Chengdu 11 Mallappuzhassery コックスバザール 成都(チォントゥ) マラパザーサリー 6 Dhaka 3 Chongqing 12 Meerut ダッカ 重慶(チョンチン) メーラト 7 Gazipur 4 Dalian 13 Mumbai (Bombay) ガジプール 大連(タァリィェン) ムンバイ(旧ボンベイ) 8 Gopalpur 5 Fuzhou 14 Nagpur ゴパルプール 福州(フゥチォウ) ナーグプル 1/108 Pages
    [Show full text]
  • Shrimp Culture Impact on the Surface and Ground Water of Bangladesh
    The 1 st International Applied Geological Congress, Department of Geology, Islamic Azad University - Mashad Branch, Iran, 26-28 April 2010 Shrimp Culture Impact on the Surface and Ground Water of Bangladesh A.K.M. Munirul Haque1, M. Sarwar Jahan2 and Md. Abul Kalam Azad2* 1Local and Revenue Audit Directorate, Audit Complex, Segun Bagicha, Dhaka – 1000, Bangladesh . 2*Institute of Environmental Science, University of Rajshahi , Rajshahi – 6205, Bangladesh . Tel. 88-01746-141541 (cell phone) and 88-0721-750930 (office) Fax. 88-0721-750064, E-mail. [email protected] Abstract A case study was carried out to see the impacts of shrimp culture on the surface (pond) and ground water (tube-well) quality in three coastal sub-districts of Bagherhat Sadar, Rampal and Morrelganj of Bangladesh. The people of Rampal (100%), Morrelgonj (87.5%) and Bagherhat (75.5%) expressed that salinity of both surface and ground water increased for shrimp culture, and water becomes more turbid, odorous and less tasty compare to pre-shrimp culture scenario. The ground water pH was found to little acidic (6.07– 6.71) but the surface water was mild alkaline in nature (7.00–7.46). Ground water was more saline (1893.12–2673.33 ppm) than surface water (513.31-2253.33 ppm). Potassium level of surface water was very high (97.75-242.42 ppm) compare to ground water (11.73- 27.37 ppm), which exceeds the WHO Guideline Value (10 ppm) and Bangladesh Standard for Drinking Water (12.0 ppm). The pollution level of phosphorous and iron was found to little higher but other pollutants like nitrate, boron and zinc was found to very low in surface and ground water in the shrimp culture area of Bangladesh.
    [Show full text]
  • Les Appellations D'origine Et Les Indications Géographiques
    Les appellations d’origine Appellations of origin Las denominaciones de origen No 47 Les appellations d’origine Année 2018 / Year 2018 / Año 2018 Publication du Bureau international Publication Date: February 10, 2005 de l’Organisation Mondiale de la Propriété Intellectuelle No 39 - Janvier 2011 Fecha de publicación: 10 de febrero de 2005 Appellations of origin Nos 838979 - 839219 Publication of the International Bureau of the World Intellectual Property Organization No. 39 - January 2011 Las denominaciones de origen Publicación de la Oficina Internacional de la Organización Mundial de la Propiedad Intelectual No 39 - Enero de 2011 ISSN 0253-8180O OMPI 2011 PUB: 105 Les appellations d’origine Publication du Bureau international de l’Organisation Mondiale de la Propriété Intellectuelle (OMPI) Appellations of origin Publication of the International Bureau of the World Intellectual Property Organization (WIPO) Las denominaciones de origen Publicación de la Oficina Internacional de la Organización Mundial de la Propiedad Intelectual (OMPI) Année 2018 / Year 2018 / Año 2018 No. 47 Administration : Service d’enregistrement Administration: Lisbon Registry Administración: Registro de Lisboa Lisbonne WORLD INTELLECTUAL PROPERTY ORGANIZACIÓN MUNDIAL DE LA ORGANISATION MONDIALE DE LA ORGANIZATION (WIPO) PROPIEDAD INTELECTUAL (OMPI) PROPRIÉTÉ INTELLECTUELLE (OMPI) 34, chemin des Colombettes 34 chemin des Colombettes 34, chemin des Colombettes CH-1211 GENEVA 20 (Switzerland) CH-1211 GINEBRA 20 (Suiza) CH-1211 GENÈVE 20 (Suisse) (+41) 22 338 91 11
    [Show full text]
  • A Study of Small Mammals Inhabiting Pistachio Gardens of Kerman Province, Southeast Iran
    BIHAREAN BIOLOGIST 7 (1): pp.13-19 ©Biharean Biologist, Oradea, Romania, 2013 Article No.: 131102 http://biozoojournals.3x.ro/bihbiol/index.html A study of small mammals inhabiting pistachio gardens of Kerman Province, Southeast Iran Seyed Massoud MADJDZADEH1,* and Haji Mohammad TAKALLOOZADEH1,2 1. Department of Biology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman 76169-14111, Iran. E-mail: [email protected] 2. Department of Plant protection, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman 76169-14111, Iran. E-mail: [email protected] *Corresponding author, S.M. Madjdzadeh, E-mail: [email protected] Received: 21. April 2012 / Accepted: 26. February 2013 / Available online: 3. March 2013 / Printed: June 2013 Abstract. This study was performed in order to indentify the rodent fauna inhabiting pistachio gardens in Kerman Province, Southeast Iran. In this order we used live trapping method for the sampling of rodents. In total, 105 rodent specimens were collected. The specimens were studied in respect to their morphological, cranial and external characteristics. The results showed that six species belonging to five genera of rodents and one species of lagomorpha occur in this region. The identified samples were as fallow: Cricetulus migratorius, Mus musculus, Nesokia indica, Meriones persicus, Meriones libycus, Tatera indica, and Ochotona rufescenc. Mus musculus and Cricetulus migratorius had maximum and minimum abundance respectively. Morphological and morphometric characteristics of the identified species were investigated. Key words: Rodentia, Lagomorpha, Pistachio gardens, Kerman Province, Iran. Introduction some rodents in the agricultural areas of Southern parts of Kerman Province (Missone 1990). To date no such studies Rodents constitute one of the largest orders of mammals, are carried out in agricultural areas such as pistachio gar- which composed of about 29 families, 443 genera and 2277 dens in Kerman Province.
    [Show full text]
  • Mud City 2004 Free
    FREE MUD CITY 2004 PDF Deborah Ellis | 160 pages | 04 Mar 2004 | Oxford University Press | 9780192753762 | English | Oxford, United Kingdom Editions of Mud City by Deborah Ellis Cookies are used to provide, analyse and improve our services; provide chat tools; and show you relevant content on advertising. You can learn more about our use of cookies here. Are you happy to accept all cookies? Accept all Manage Cookies Cookie Preferences We use cookies and similar tools, including those used by approved third parties collectively, "cookies" for the purposes described below. You can learn more about how we plus approved third parties use cookies and how to change your settings by visiting the Cookies Mud City 2004. The choices you make here will apply to your interaction with this service on this device. Essential We use cookies to provide our servicesfor example, to keep track of items stored in your shopping basket, prevent fraudulent activity, improve the security of our services, keep track of your specific preferences e. These cookies are necessary to provide Mud City 2004 site and services and therefore cannot be disabled. For example, we use cookies to conduct research and diagnostics to improve our content, products and services, and to measure and analyse the performance of our services. Show less Show more Advertising ON OFF We use cookies to serve you certain Mud City 2004 of adsincluding ads relevant to your interests on Book Depository and to work with approved third parties in the process of delivering ad content, including ads relevant to your interests, to measure the effectiveness of their ads, and to perform services on behalf of Book Depository.
    [Show full text]
  • Application of Compensatory Methods in Industrial Development Site Selection
    JBU II (2012) 1 · 63 Application of Compensatory Methods in Industrial Development Site Selection Besat Emami; Farzad Taghizadeh; Elnaz Neinavaz Department of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran Iran Corresponding author: Farzad Taghizadeh [email protected] ABSTRACT Like any other engineering projects, industrial unit site selection requires basic data and careful planning whereas; lack of comprehensive attention to this case causes deterioration of life quality, environmental degradation, destruction of natural resources, reduction of habitat areas and so on. Therefore, it is necessary to determine the suitability of land for implementation of industrial units to establish balance in ecosystems; natural and human environment, preservation and development of natural resources as well as coordination of development processes with environmental features. Considering a large volume of data and information layers required, without application of Geographic Information System, determination of areas owing suitability for industrial development is very time consuming and difficult. Selection of multiple factors is led to multiple information layers, thereby, efforts to find suitable solutions to analyze such a large number of layers as well as obtaining the correct result, lead decision makers towards application of a system enjoyed speed and ease of operation, besides the high accuracy. Study ahead aims at site selection of industrial development for establishment of coke making plant, using one of the relatively new compensatory decision-making methods; spatial analytical hierarchy process (S-AHP). The obtained results suggested that the application of compensatory methods along with eliminating criteria can be considered an appropriate powerful tool in decision making offered more accurate results in scientific and practical terms.
    [Show full text]
  • Health Services Access and Regional Disparities in Kerman
    Iranian journal of health sciences 2013;1(3):35-42 http://jhs.mazums.ac.ir Original Article Evidence for Policy Making: Health Services Access and Regional Disparities in Kerman Mina Anjomshoa1 Seyyed Meysam Mousavi2 *Hesam Seyedin3 Aidin Ariankhesal3 Jamil Sadeghifar4 Nasrin Shaarbafchi-Zadeh3 1-MSc Student in Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, I.R. Iran. 2-PhD Student in Health Policy, Health Management and Economics Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Students’ Scientific Research Center, School of Public Health, Tehran University of Medical Sciences, Tehran, I.R. Iran. 3- Health Management and Economics Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, I.R. Iran. 4-PhD Student in Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, I.R. Iran. *[email protected] Abstract Background and purpose: Health indices, regarding to their role in the development of a society, are one of the most important indices at national level. Success of national development programs is largely dependent on the establishment of appropriate goals at the health sector, among which access to healthcare facilities is an essential requirement. The aim of this study was to examine the disparities in health services access across the Kerman province. Materials and Methods: This was a cross-sectional study. Study sample consisted of the cities in Kerman province, ranked based on 15 health indices. Data was collected from statistical yearbook. The indices were weighted using Shannon entropy, then using the TOPSIS technique and the result were classified into three categories in terms of the level of development across towns.
    [Show full text]