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Development of Operating Rule Curve for Multipurpose Water Supply in Heightened Agricultural Reservoir

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*** ⦽ǎ׮ᨕⅭŖᔍ ׮ᨕⅭᩑǍᬱ ₦ᯥᩑǍᬱ ([email protected])

Received August 31 2012, Revised February 12 2013, Accepted April 24 2013

Copyright ⵑ 2013 by the Korean Society of Civil Engineers

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0)

 ǣŠ––’ǣȀȀ†šǤ†‘‹Ǥ‘”‰ȀͳͲǤͳʹ͸ͷʹȀ•…‡ǤʹͲͳ͵Ǥ͵͵ǤͶǤͳ͵ͺͻ ™™™Ǥ•…‡Œ‘—”ƒŽǤ‘”Ǥ”

ᝋ⮃Ⱨ#ᨏᝐⵂⶾ⟖⽾ⴖ#ᢢ⻏#Ⱨ⟖ኳᏇⴂ#Ⳃ㬚#ⴲ⟖Ⱳ⮿Ꮾ⺾ኟ⛞#ᇚ⇚

ࢮஂଗ ȵ୨଴ֹ ȵଲֈઉ ȵ׌নஜ

Park, Jong-Yoon*, Jung, In-Kyun**, Lee, Kwang-Ya***, Kim, Seong-Joon****

Development of Operating Rule Curve for Multipurpose Water Supply in Heightened Agricultural Reservoir

ABSTRACT

This study developed an operating rule curve (ORC) for multipurpose water supply (irrigation and environmental water) in heightened agricultural reservoir. Among the 20 reservoirs in improvement project of agricultural reservoir dam heightening, the 4 representative reservoirs (Ungyang, Gungchon, Yongam and Unam) were selected for the study according to the analysis of statistical characteristics.

Available environmental water supply amounts during irrigation and non-irrigation periods, which is the range from release restricted water level to high water level were estimated by water balance analysis using reservoir operation model. Reliability, resiliency and vulnerability criteria for water system performance were used to assess the multiple water supply capacity. The ORC was presented as the percentile rank for the daily reservoir water level from the results of reservoir operation using the past couple of decades weather data. The water levels for each percentile were divided into 3 buffer sections representing drought (525%), normal (2575%), and flood (7595%) year to operate the heightened agricultural reservoir with ORC.

Key words : Heightened agricultural reservoir, Operating rule curve, Irrigation water, Environmental water

Ⅹಾ

ᅙᩑǍᨱᕽ۵׮ᨦᬊࢲ׳ᯥᱡᙹḡ᮹݅ᵲᬊᙹŖɪ܆ಆ(š}ၰ⦹⃽ᮁḡᬊᙹ) ⠪aᨱ঑ෙᯕᙹᬕᩢʑᵡłᖁᮥ}ၽ⦹ᩡ݅. 20}ࢲ׳ᯕʑ

ᔍᨦḡǍෝݡᔢᮝಽ✚ᖒᇥᕾᨱ঑ෙ4}(ᬦ᧲, ǢⅭ, ᬊᦵ, ᬕᦵ)᮹ݡ⢽ᱡᙹḡෝᖁᱶ⦹Ł, ᯕᙹᬕᩢ༉⩶ᮥᯕᬊ⦽ྜྷᙹḡᇥᕾᮥ☖⧕⦹⃽

ᮁḡᬊᙹŖɪa܆పᮥᔑᱶ⦹ᩡ݅. ᯕᙹᬕᩢʑᵡᮡš}ʑ᪡እš}ʑᨱݡ⧕ႊඹᱽ⦽ᙹ᭥(ᔍᨦᱥอᙹ᭥)ᨱᕽᔢ᜽อᙹ᭥ʭḡ᮹ᱡᙹ᭥Ǎ eᮥ⦹⃽ᮁḡᬊᙹŖɪa܆ᙹ᭥ಽᖅᱶ⦹Łᝁ഑ࠥ, ⫭ᅖࠥၰ≉᧞ࠥḡᙹෝᯕᬊ⦹ᩍbࢲ׳ᯥᱡᙹḡ✚ᖒᄥྜྷŖɪ܆ಆᮥ⠪a⦹ᩡ݅.

ᯕᙹᬕᩢʑᵡᱢᬊᨱ঑ෙࢲ׳ᯥᱡᙹḡ᮹ᯕᙹᬕᩢʑᵡłᖁᮡŝÑᯕᙹᬕᩢ༉᮹đŝಽᇡ░ᯝᄥᱡᙹ᭥ෝ႒ᇥ᭥(Percentile Rank)ಽ⢽⩥

⦹ᩡ݅. bᇥ᭥ᄥᱡᙹ᭥Ǎeᮥ3}᮹᪥∊Ǎe(Buffer)ᮝಽӹ٥ᨕiᙹ֥(525%), ⠪ᙹ֥(2575%) ၰ⣮ᙹ֥(7595%)ᨱ⧕ݚ⦹۵

ᱡᙹḡᬕᩢᯕa܆⦹ࠥಾ⦹ᩡ݅.

áᔪᨕ ׮ᨦᬊࢲ׳ᯥᱡᙹḡ, ᯕᙹᬕᩢʑᵡłᖁ, š}ᬊᙹ, ⦹⃽ᮁḡᬊᙹ

ƒ–‡”‰‹‡‡”‹‰ սėॡ

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Fig. 1. Distribution of the heightened agricultural reservoirs used

1. ᕽು

ᬑญӹ௝ᬊᙹᔍᬊ᮹48%ෝ₉ḡ⦹Łᯩ۵׮ᨦᬊᙹ۵ᱡᙹḡ

᪡᧲ᙹᰆ, ᅕ॒ᮥᯕᬊ⦹ᩍ׮ĞḡᨱᬊᙹෝŖɪ⦹Łᯩ݅. ᯕ

ᵲ׮ᨦᬊᱡᙹḡ۵2008֥☖ĥᩑᅕʑᵡᮝಽ17,649}aᯩᮝ໑ ᬊᙹෝŖɪ⦹۵ᩎ⧁ᮥᙹ⧪⦹Łᯩ݅. ᮁᩎ᮹ᵲᔢඹᇡᨱ᭥⊹⦽

׮ᨦᬊᱡᙹḡ᮹ᬊపᮥ᷾ݡ᜽┅۵ᔍᨦᯙ׮ᨦᬊᱡᙹḡࢲ׳ᯕʑ ᬊᙹŖɪ, ޵ᇩᨕᰍ⧕⊂໕ᨱᕽ≉᧞⦽׮ᨦᬊᱡᙹḡෝᅕv⦹۵

äᯕ݅. ᷪ, ᱡᙹḡ᷾Łᨱ᮹⧕۹ᨕӽᱡᙹᬊపᮥݡᔢᮝಽ, ᩢ׮ʑ e᮹⦥᫵ᙹపᮥ∊᳒⧉ᮡྜྷುš}ʑၰእš}ʑ࠺ᦩᨱᯕᙹᬊప

⪶ᅕᨱ঑ෙ⦹⃽ᮁḡᮁప᮹Ŗɪʑ܆ᯕ⡍⧉ࡹᨩ݅. ᯕ۵ࢲ׳ᯕ ʑᔍᨦᯕᱥ᮹ᱡᙹḡʑ܆ᯙš}ᬊᙹŖɪ᮹ᵝ༊ᱢŝ޵ᇩᨕ

ᱡᙹḡ⦹ඹ⦹⃽᮹⦹⃽ᮁḡᮁపŖɪ, Ǣɚᱢᮝಽ۵ᅙඹ᮹ᙹḩ }ᖁ ⇵a༊ᱢᮥ ⡍⧉⦹Ł ᯩ݅(׮ฝᙹᔑ᜾⣩ᇡ, 2011).

ࢲ׳ᯕʑᔍᨦᯕᱥ᮹ᱡᙹḡᬕᩢᮡ༜ᯱญᬊᙹaॅᨕa۵

᜽ʑᯙ4ᬵᵲᙽᇡ░5ᬵᵲᙽĞ᮹༉ԕʑ᜽ʑᨱaᰆᝁĞᮥ

ᥑ໕ᕽš}ᬊᙹ᮹ᬱ⪽⦽Ŗɪᮥ᭥⦽ᬕᩢᮥ⧕᪵ᮝӹ, ࢲ׳ᯥᱡ ᙹḡ۵ᩢ׮ʑeᯕ᳦ഭࡹ۵᜽ʑᯙ9ᬵᵲ⦹ᙽᮥʑᵡᮝಽ, ⦹ඹ

⦹⃽᮹⦹⃽ᮁḡᮁప⪶ᅕෝ᭥⦽ᱡᙹḡᬕᩢᯕ⦥᫵⦹íࡹᨩ݅.

ᷪ, ࢲ׳ᯥᱡᙹḡ۵ᩢ׮ᯕ᳦ഭࡹ۵᜽ᱱᮥʑᵡᮝಽᱡᙹᬊపᮥ

↽ݡ⦽⪶ᅕ⦽⬥, ₉֥ࠥ༜ᯱญᬊᙹŖɪ᜽ᱱ᮹ᱡᙹḡᙹ᭥ෝ

Łಅ⦹໕ᕽ, ᩢ׮ʑeᵲᨱ۵š}ᙹప᮹อ᳒ŝ޵ᇩᨕ᫵Ǎࡹ۵

⦹⃽ᮁḡᮁపࠥ࠺᜽ᨱอ᳒⦹۵⩶┽᮹ᱡᙹḡᯕᙹᬕᩢʑᵡᯕ

⦥᫵⦹݅. ⦹ḡอ, ݡᇡᇥ᮹׮ᨦᬊᱡᙹḡ۵⦹⃽᮹ᔢඹᨱ᭥⊹⧕

ᯩʑভྙᨱ⦹⃽ᮁḡᬊᙹŖɪ⬉ŝෝɚݡ⪵⦹ʑ᭥⧕ᕽ۵ᅖᰂ

ႊᦩᯕ ࠥ⇽ࡹᨕ᧝ ⦽݅. ੱ⦽, ᙹᯱᬱ᮹ ᯕᔢᱢᯙ šญႊჶᮡ

ᮁᩎ݉᭥᮹ᬕᩢᯕ໑, ᯕෝᝅ⩥⦹ʑ᭥⧕ᕽ۵ᬑᖁᱢᮝಽᮁᩎ✚

ᖒᮥŁಅ⦽}ᄥᬕᩢ⢽ᵡᦩᯕษಉࡹᨕ᧝⦽݅. ʑ᳕᮹ᬕᩢℕĥ ۵׮ၝᯕᙹ⩽ᯱᯕ໑׮ᨦᬊᙹŖɪ᮹݉ᯝ༊ᱢᮝಽᬕᩢࡹᨩʑ

ভྙᨱᔍᨦ⬥ݍ௝ḡ۵ŖɪℕĥෝŁಅ⦽ᔩಽᬕᬕᩢʑᵡᯕ

⦥᫵⦽ ᝅᱶᯕ݅(׮ฝᙹᔑ᜾⣩ᇡ, 2011).

ᬑญӹ௝׮ᨦᬊᱡᙹḡ᮹ᯕᙹᬕᩢʑᵡᨱš⦽ᩑǍ۵ᵝಽ

š}ʑ࠺ᦩ᮹׮ᨦᬊᙹŖɪᮥ᭥⦽݉ᯝ༊ᱢ᮹ᯕᙹᬕᩢłᖁ ᯕᨩ݅(ʡ┽℁॒, 1992; ʡ┽℁॒, 2003). ↽ɝ, ⦹⃽ᮁḡᬊᙹ

॒ŝzᮡ݅ᵲᬊᙹŖɪᮥ༊ᱢᮝಽ⦹۵ᯕᙹᬕᩢʑᵡ}ၽᨱ

š⦽ᩑǍॅᯕᙹ⧪ࡹᨩ݅(יᰍĞ, 2010a, 2010b; ᯕᰍԉŝיᰍ Ğ, 2010). ᯕᨱᅙᩑǍᨱᕽ۵4ݡvᙹĥࢲ׳ᯕʑᔍᨦḡǍ

20}ᗭෝ ᖁᱶ⦹ᩍ, ✚ᖒᇥᕾᮥ ☖⧕ ᇥඹࡽ 4} ǑḲ᮹ b

ݡ⢽ᱡᙹḡ(ᬦ᧲, ǢⅭ, ᬊᦵ, ᬕᦵ)ᨱݡ⧕ᯕᙹᬕᩢ⠪aʑᵡ

(⦽ၽʑᵡ 10֥ ኩࠥ)ᮥ อ᳒⦹۵ š}ᬊᙹ ၰ ⦹⃽ᮁḡᬊᙹ

Ŗɪᮥ᭥⦽ᯕᙹᬕᩢʑᵡłᖁᮥࠥ⇽⦹Łᯱ⦹ᩡ݅. ᯕෝ᭥⧕, HOMWRS (Hydrological Operation Model for Water Resources System)༉⩶ᮥ ᯕᬊ⦹ᩍ ᱡᙹḡ ᮁ᯦ప ၰ ⦥᫵ᙹప ᔑᱶᮥ

☖⧕ྜྷᙹḡĥᔑᮥᙹ⧪⦹Ł, š}ʑ᪡እš}ʑ࠺ᦩ᮹ࢲ׳ᯥ ᱡᙹḡ᮹݅ᵲᬊᙹŖɪᮥ᭥⦽ႊඹʑᵡᙹ᭥ᖅᱶᨱ঑ෙb

ʑᵡᙹ᭥ᄥ ⦹⃽ᮁḡᬊᙹ ႊඹ a܆పᮥ ᔑᱶ⦹ᩡ݅.

2. ᰍഭၰႊჶ

2.1 ۩ঃ஺લট୨

ᅙ ᩑǍᨱᕽ۵ ᱥǎ ࢲ׳ᯕʑᔍᨦ ݡᔢ ᱡᙹḡ ⅾ 113}

ᵲ20}ᔍᨦḡǍෝᩑǍݡᔢḡᩎᮝಽᖁᱶ⦹ᩡ݅. Fig. 1ᮡ

ᅙᩑǍᨱᕽᖁᱶ⦽ࢲ׳ᯥᱡᙹḡ᮹ᇥ⡍ෝӹ┡ԙäᮝಽ2011

֥ᵡŖᮥ༊⢽ಽᖅĥࡹᨩ݅. Table 1ᮡ20}ᱡᙹḡᨱݡ⦽

ᔍᨦ⇵ḥ⩥⫊ᮥӹ┡ԙäᮝಽᙹĥᄥᇥ⡍⩥⫊ᮥᅕ໕, ⦽v

5}ᗭ, ɩv 8}ᗭ, Ӻ࠺v 5}ᗭ, ᩢᔑvᨱ 2}ᗭa ᭥⊹⧕

ᯩᮝ໑, ḡᩎᄥಽ∊ᇢ, ∊ԉᨱbb4}ᗭ, Ğᇢᨱ3}ᗭ, Ğʑ, vᬱ, ᱥԉ, Ğԉᨱbb2}ᗭ, ᱥᇢᨱ1}ᗭaᇥ⡍⧕ᯩ݅.

ᯕॅᱡᙹḡ۵ࢲ׳ᯕʑᔍᨦ⬥, ⠪Ɂ1,344×103m3,ⅾ2,6870×

103m3᮹⇵aᱡᙹపᮥ⪶ᅕ⦹íࡹ໑, š}ᬊᙹ᪡޵ᇩᨕ⦹ඹ

⦹⃽ᨱ⦹⃽ᮁḡᬊᙹෝŖɪ⦹íࡽ݅. 20}ࢲ׳ᯥᱡᙹḡ᮹

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Table 1. Physical characteristics of heightened agricultural reservoirs Basin Reservoir Watershed area,

WA (ha)¿

Irrigated area, IA (ha)¿

Ratio (WA/IA)

Added height (m)

Effective storage (103m3)

Before heightened After heightened Difference

Han River

Geumsa 837 179 4.7 2.9 2,983 3,680 697

Daepyeong 694 150 4.6 3.0 667 1,139 473

Gungchon 2,066 220 9.4 2.0 624 1,159 535

Bangye 2,500 179 14.0 3.6 1,730 2,839 1,110

Chupyeong 1,610 694 2.3 2.5 4,223 4,929 706

Geum River

Gwanghye 1,040 446 2.3 1.8 3,113 5,920 2,807

Jangchan 513 474 1.1 2.5 3,177 4,364 1,187

Gyeryong 1,574 675 2.3 2.6 3,412 4,776 1,364

Dorim 650 607 1.1 2.8 3,250 3,776 526

Boksim 1,761 480 3.7 1.9 2,489 4,715 2,226

Yongam 1,620 762 2.1 0.9 4,146 5,285 1,139

Cheoncheon 1,350 213 6.3 5.0 1,028 1,918 891

Hangye 545 223 2.4 2.3 1,012 1,567 555

Nakdong River

Gucheon 1,692 167 10.1 9.1 1,236 3,455 2,220

Unam 1,320 212 6.2 10.1 738 2,663 1,925

Changpyeong 1,850 235 7.9 13.2 554 2,739 2,184

Ungyang 1,160 537 2.2 3.9 2,281 3,289 1,009

Jinrye 472 242 1.9 5.0 1,074 2,102 1,028

Yeongsan River¿Utang 909 180 5.0 7.0 1,538 2,175 638

Jangchi 1,871 383 4.9 9.2 1,726 5,376 3,650

Average 1,302 363 4.7 4.6 2,050 3,393 1,344

Total 26,033 7,257 - 91.2 41,001 67,866 26,870

⠪Ɂᮁᩎ໕ᱢᮡ1,302 haᯕ໑, ᙹ⩽໕ᱢᮡ363 haಽᮁᩎ႑ᮉᯕ

4.7ᨱ ⧕ݚ⦽݅.

2.2 ܫڔହୠ৤஺ଭധծୡ൉নंজ

ᅙ ᩑǍᨱᕽ۵ ࢲ׳ᯥᱡᙹḡ ᵲ ݡ⢽ᖒᮥ w۵ ᱡᙹḡෝ

ݡᔢᮝಽᯕᙹᬕᩢʑᵡłᖁ᮹ᱢᬊᨱ঑ෙ⦹⃽ᮁḡᬊᙹŖɪ

܆ಆᮥ⠪a⦹ʑ᭥⦹ᩍ, Table 1᮹20}ᱡᙹḡᨱݡ⦽݅ᄡప

☖ĥᇥᕾ(Multivariate Statistical Analysis)ᮥᝅ᜽⦹ᩡ݅. ݅ ᄡపᇥᕾᮥe݉⦹íᱶ᮹⦹۵äᮡᛞḡᦫᮝӹᯝၹᱢᮝಽ

ࢱ}ᯕᔢ᮹ᄡᙹෝ࠺᜽ᨱᇥᕾ⦹۵☖ĥႊჶᮥ᮹ၙ⦽݅.

☖ĥᇥᕾᮥ݉ᯝᄡపᇥᕾŝ݅ᄡపᮝಽӹ٥۵ᇥඹ۵ᇥᕾݡ ᔢᨱݡ⧕ŁಅࡹŁᯩ۵ၹ᮲ᄡᙹॅ᮹}ᙹᨱ঑ෙǍᇥᯕ݅.

ᩍʑᨱᕽၹ᮲ᄡᙹ௝⧉ᮡ⪶ශᱢᯙၹ᮲ᮥaḡ۵ᄡᙹෝ᮹ၙ

⦽݅. ݅ᄡపᇥᕾᮡݡ᮲⢽ᅙT-test, ⫭ȡᇥᕾ, ݅ᄡపᇥᔑᇥ ᕾ॒ŝzᯕᯝᄡపᇥᕾ᮹ʑᅙᱢᯙ✡ᮥၵЙḡᦫŁ݉ᙽ⯩

ၹ᮲ᄡᙹॅ᮹ }ᙹෝ ۹ಅ ₉ᬱᮥ ⪶ᰆ᜽┉ ᇥ᧝᪡, ݅ᄡప

ᯱഭ᮹ᗮᖒᔢᯝᄡపᇥᕾ᮹ჵᵝᨱᕽ۵Łಅࢁᙹᨧ۵݅ᄡప

Łᮁ᮹ᩢᩎᮝಽӹ٭ᙹᯩ۵ߑ݅ᄡపŁᮁ᮹ᩢᩎᨱᗮ⦹۵

ᇥᕾʑჶᮝಽ۵᫵ᯙᇥᕾ, ❱ᄥᇥᕾ, ǑḲᇥᕾ, ᱶᵡᔢšᇥᕾ,

݅₉ᬱ⃺ࠥ, Ǎ᳑ႊᱶ᜾ ༉⩶ ॒ᯕ ᯩ݅(ʡ⧕ࠥ ॒, 2011).

ᅙᩑǍᨱᕽ۵݅ᄡప☖ĥᇥᕾႊჶᵲ᫵ᯙᇥᕾ(Factor Analysis) ŝ ǑḲᇥᕾ(Cluster Analysis)ᮥᝅ᜽⦹ᩍ☖ĥᱢᮝಽݡ⢽ᖒᮥ

w۵ࢲ׳ᯥᱡᙹḡෝᖁᱶ⦹ᩍᇥᕾᮥᙹ⧪⦹ᩡ݅. ᩍʑᕽ, ᫵ᯙ ᇥᕾᮡᵝᖒᇥᇥᕾᮥ☖⧕ᄡᙹ᪡᫵ᯙᔍᯕ᮹šĥෝ⧕ᕾ⧁

ᙹᯩ۵Varimaxჶ(Kaiser, 1958)ᮥᯕᬊ⦹ᩡᮝ໑, ǑḲᇥᕾᮡ

᫵ᯙᇥᕾđŝಽᔑᱶࡽ᫵ᯙ᮹ᵝᖒᇥᱱᙹಽᇡ░20}ᱡᙹḡ

ෝsquared Euclidean distanceჶŝWardჶᮥᯕᬊ⦹ᩍĥ⊖ᱢ

ǑḲᇥᕾᮥᝅ᜽⦹ᩡ݅(Kaufman and Rousseeuw, 1990; Everitt et al., 2001).

2.3 ୠ৤஺ଲ৤૶ઽࡦ෴

ࢲ׳ᯥᱡᙹḡ᮹ྜྷᙹḡᇥᕾᮡHOMWRS༉⩶ᮥᯕᬊ⦹ᩡ

݅. ᅙ༉⩶ᮡ׮ᨦᬊᱡᙹḡᨱᕽ᮹׮ᨦᬊᙹŖɪĥ⫮ᮥᙹพ⦹

ʑ᭥⦽ᮁᩎᮁ᯦ప, š}⦥᫵ᙹప, ྜྷᙹḡᇥᕾၰ݉᭥ᬊᙹప

(4)

ᔑᱶᯕᯝಉ᮹☖⧊ࡽ᜽ᜅ▽ԕᨱᕽǍ⩥ࡹࠥಾ⦽⥥ಽəఉᮝ ಽᮁᩎᮁ᯦ప, ⦥᫵ᙹప, ݉᭥ᬊᙹపၰྜྷᙹḡᔑᱶᮥ᭥⦽

4}᮹ ᖙᇡ༉⩶ᮝಽ Ǎᖒࡹᨕ ᯩ݅(ᯕ┽⪙, 2011).

ࢲ׳ᯥᱡᙹḡ᮹ᯕᙹᬕᩢᮥ᭥⦽ྜྷᙹḡᇥᕾᮡbݡᔢḡǍ ᄥʑᔢš⊂ᗭ᮹ᯝᄥvᬑపၰᱽၹʑᔢᯱഭ॒ᯕᬊa܆⦽

ᯝᄥ ʑᔢᯱഭෝ ᯕᬊ⦹ᩍ ᮁᩎᨱᕽ᮹ ᮁ᯦పŝ ⦥᫵ᙹపᮥ

ᔑᱶᨱ঑ෙᯝ݉᭥ྜྷᙹḡᇥᕾᮥᙹ⧪⦹ᩡ݅. ྜྷᙹḡᇥᕾᨱᕽ ᮹ᯝᄥᮁ⇽పᔑᱶᮡ4݉TANK༉⩶(Sugawara, 1984)ᮥᯕᬊ

⦹ᩡᮝ໑, ⦥᫵ᙹపĥᔑ᜽š}ᬊᙹ᮹᯲ྜྷᗭእᙹపᮡPenman

᜾(Doorenbos and Pruitt, 1977)ᮝಽ⇵ᱶ⦹ᩡ݅. ᯕভ⦥᫵⦽

᯲ྜྷĥᙹ۵׮ฝᇡ(1998)ᨱᕽᱽ᜽⦽sᮥᱢᬊ⦹ᩡ݅. ᅙᩑǍ ᨱᕽ۵ᙹ᭥᳑Õᄥ⦹⃽ᮁḡᬊᙹ᮹Ŗɪᮥ᭥⧕HOMWRS᮹

ʑᅙ ྜྷᙹḡ Ǎᖒᮥ ݅ᮭ Eq. (1)ŝ zᯕ ᙹᱶ⦹ᩡ݅.

¬Þƒß á ¬Þƒà Îß â¢Þƒß â©Þƒß

à žÞƒß à¨Þƒß ࢫ«Þƒß à žŸÞƒß (1)

ᩍʑᕽ, S۵ᱡᙹᬊప(m3),I۵ᮁ᯦ప(m3), P۵ᙹ໕vᙹప (m3), E۵ᙹ໕᷾ၽప(m3), O۵ᩍᙹಽᬵඹప(m3), IRRᮡš}

ᬊᙹŖɪప(m3),EF۵⦹⃽ᮁḡᬊᙹŖɪప(m3),t۵༉᮹ᯝ (day)ᯕ݅. ᷪ, S(t)۵ tᯝ᮹ ⅾ ᮁ᯦పŝ ႊඹప ₉ᯕᨱ ᮹⦽

↽᳦ᱡᙹᬊపᯕ݅. ঑௝ᕽ, ᱡᙹḡᬕᩢᮡอᙹ᭥ෝⅩŝ⦹۵

ᮁ᯦పᮥᬵඹ᜽┅໑, š}ᬊᙹ۵š}ʑ࠺ᦩ⦥᫵ᙹపᨱ঑௝

ႊඹࡹŁ⦹⃽ᮁḡᬊᙹ۵š}ʑ᪡እš}ʑ࠺ᦩᨱႊඹʑᵡ ᙹ᭥᳑ÕᄥŖɪపอⓝႊඹ⦹íࡽ݅. ᯕভ, ᱡᙹ᭥aᔍᙹ᭥

ᯕ⦹ᯝ Ğᬑ š}ᬊᙹ ၰ ⦹⃽ᮁḡᬊᙹ Ŗɪపᮡ 0ᯕ ࡽ݅.

׮ᨦᬊᙹᙹ᫵పᮡםᬊᙹ, ႎᬊᙹ, ⇶ᔑᬊᙹಽǍᖒࡽ݅. ᯕᵲ

םᬊᙹ۵ᙹญݖŝᙹญᇩᦩᱥݖᮝಽǍᇥࡹ໑, ᰍ႑⩶┽ᨱ঑௝

ᯕᦺᰍ႑, ݕᙹḢ❭, ÕݖḢ❭⩶┽ಽǍᇥࡽ݅. ੱ⦽, ᯕᦺᰍ႑۵

᯲ᇡ᜽ʑෝǍᇥ⧁ᙹᯩᮝ໑, bᔾᮂʑeᄥᗭእᙹపᮥĥᔑ⦹

í ࡽ݅. ᙹญݖᨱᕽ᮹ ⦥᫵ᙹపᮡ ݅ᮭ Eq. (2)᪡ z݅.

«ƃƏÞƒß á ž­Þƒß â ¢à «ƃÞƒß (2)

ᩍʑᕽ, Req۵tᯝ᮹ݖ⦥᫵ᙹప(mm/day), ET۵᷾ၽᔑప (mm/day), I۵⋉⚍ప(mm/day), Re۵ᮁ⬉ᬑప(mm/day)ᯕ݅.

ᅙᩑǍᨱᕽᱢᬊ⦽ᯕᙹᬕᩢ༉⩶ᮡݖš}ᨱݡ⦽׮ᨦᬊᙹ

ᙹ᫵పอᮥŁಅ⦽äᮝಽ, ᙽᱥ⯩Ğ᯲ḡᦩᨱᕽᗭ༉ࡹ۵Eq.

(2)᮹ ᙽᬊᙹప(Net Duty of Water)ᮝಽᇡ░ ྜྷᮥ ҭᨕ᪅۵

࠺ᦩᗱᝅࡹ۵ᙹపᯙᙹಽၰ᯲᳑ᗱᝅపᮥŁಅ⦽᳑ᬊᙹప (Gross Duty of Water)ᨱ ᮹⧕ ĥᔑࡽ݅.

2.4 ୠ৤஺ଲ৤૶ઽඌԧ׆ஜࢫंজࢺ࣑

ᱡᙹḡᯕᙹᬕᩢʑᵡ᮹⩥ᰆᬕᩢᮥ᭥⧕ᕽ۵ᬕᩢʑᵡᯕ⩥

ᝅᱢᯕᨕ᧝⦽݅. ᬕᩢᯱa ❱݉a܆⦽໦ഭ⦽ ʑᵡ(ᱡᙹ᭥, ᱡᙹᮉ)ᮝಽđŝෝᔑᱶ⧕᧝⦹໑, š}ʑ࠺ᦩ᮹ᦩᱶᱢ׮ᨦᬊ ᙹ⪶ᅕෝ᭥⧕ᕽ۵እš}ʑ࠺ᦩ᮹⦹⃽ᮁḡᬊᙹŖɪᮥᱽ⦽

⧁ ⦥᫵a ᯩ݅. ᱡᙹḡ᮹ ᬊᙹšญ۵ ⦽ၽ᜽ᨱࠥ š}ᬊᙹ,

⦹⃽ᮁḡᬊᙹݡ⦽ʑeᄥᱡᙹšญĥ⫮ᮥᙹพ⦹ᩍℕĥᱢᮝ ಽ ᬊᙹŖɪᮥ ⧁ ᙹ ᯩࠥಾ ⦹ᩍ᧝ ⦽݅.

ᯝၹᱢᮝಽ׮ᨦᬊᱡᙹḡ᮹Ƚ༉đᱶᮡ10֥⦽ၽኩࠥෝʑ ᵡᮝಽ⦥᫵ᱡᙹపᮥđᱶ⦹အಽ, ᯕᙹᬕᩢłᖁੱ⦽ᯕᨱ฿⇵

ᨕᱢᱶ⦽ᬊᙹŖɪపᮥᔑᱶ⧕᧝⦽݅. ᯕ్⦽ᱢᱶᬊᙹŖɪప ᮹ᔑᱶᮡᰆʑᯕᙹᬕᩢ༉᮹ෝ☖⧕ᱡᙹḡ᮹ྜྷŖɪ܆ಆᮥ

ᱶపᱢᮝಽ⠪a⧁⦥᫵aᯩ݅. ᯕᨱᅙᩑǍᨱᕽ۵Hashimoto et al. (1982a, 1982b)ᯕᱽ᜽⦽RRV: ᝁ഑ࠥ(Reliability), ⫭ᅖ

ࠥ(Resiliency), ≉᧞ࠥ(Vulnerability) ḡ⢽ෝᯕᬊ⦹ᩍࢲ׳ᯥ ɪ܆ಆᮥá☁⦹ᩡ݅. bb᮹ḡ⢽۵ᬕᩢʑeᄥ༊⢽Ŗɪప (š}⦥᫵ᙹప)ᨱၙ⊹ḡ༜⦹ᩡᮥভෝᝅ➉ಽȽᱶ⦹ŁྜྷŖɪ

᜽ᜅ▽᮹ᝅ➉ኩࠥ, ᝅ➉ၽᔾ᜽⫭ᅖᗮࠥ, ᝅ➉᮹Ƚ༉ᨱݡ⧕

݅ᮭŝ zᯕ ᱶ᮹⦹ᩡ݅.

œ«á ć­

āƒ á Î

­³ƒ

(3)

°ƒáåÎì   ±×ì ƒ ® ˆ•‹ ±ƍƒƆƃƐƕƇƑƃƒ âÎ ¬ (4)

œ«¬á ć

­ àāƒ á έ³ƒ

ƒ á Îā

­ °ƒ

(5)

œ¯á ”ˆŸåƒ£āƇœƒà ±ƒì Ƈá Îì íííì §æ (6)

ᩍʑᕽ, CRᮡᝁ഑ࠥ(%), CRS۵⫭ᅖࠥ(%)ෝӹ┡ԕ໑, ⅾ

༉᮹ʑeTᯝ࠺ᦩᨕ۱tᯝ᮹ᱡᙹ᭥aᔍᙹ᭥ᅕ݅Ⓧ໕อ᳒ᔢ

┽(S)ಽZt=1, ᯲ᮝ໕ᇩอ᳒ᔢ┽(U)ಽZt=0ᯕࡽ݅. Wt۵tᯝ᮹

Uᨱᕽt+1ᯝᨱSಽ⫭ᅖࡹ໕1, ə౨ḡᦫᮝ໕0ᯕࡽ݅. ≉᧞ࠥ

(m3)CV۵bb᮹ᇩอ᳒ᔢ┽Jᨱᕽᙹ᫵ప(Ct)ŝᝅᱽŖɪప (Xt)₉ᯕᨱ᮹⦽š}ᬊᙹŖɪᇡ᳒పᵲaᰆⓑsᮥӹ┡ԙ݅.

⦹⃽ᮁḡᬊᙹŖɪᨱ঑ෙࢲ׳ᯥᱡᙹḡ᮹ᯕᙹᬕᩢᮡእš

(5)

Fig. 2. Schematic outline of the study design.

}ʑ᮹ḲᵲᱢᯕŁ⬉ᮉᱢᯙ⦹⃽ᮁḡᬊᙹ᮹ႊඹෝࠥ༉⦹Ł

ᯱ ⦹ᩡ݅. ᯕෝ᭥⧕, ŝÑᙹᝎ֥e᮹ʑᔢᯱഭෝᯕᬊ⦹ᩍ

ᱡᙹḡྜྷᙹḡᇥᕾᮥ☖⧕⦹⃽ᮁḡᬊᙹŖɪa܆పᮥᔑᱶ⦹

ᩡ݅. ᯕভ, ⦹⃽ᮁḡᬊᙹŖɪʑᵡᮡbࢲ׳ᯥᱡᙹḡᄥ᷾Ł׳

ᯕ᮹⠙₉aᯩᨕࢲ׳ᯕʑᯕ⬥᮹อᙹ᭥(ᝁȽอᙹ᭥)ᇡ░ࢲ׳

ᯕʑᯕᱥ᮹อᙹ᭥(ʑ᳕อᙹ᭥)ʭḡ2m eĊᮝಽႊඹʑᵡᙹ

᭥ǍeᮥǍᇥ⦹Ł, bʑᵡᙹ᭥ᄥ⦹⃽ᮁḡŖɪa܆పᮥᔑᱶ

⦹ࠥಾ⦽݅. ᯕ⬥, ྜྷᙹḡᇥᕾᱥʑeᮥݡᔢᮝಽ10֥⦽ၽኩ

ࠥ(ᝁ഑ࠥ90% ᯕᔢ)᮹ᱡᙹḡᬕᩢᯕࢁᙹᯩࠥಾ, ᩢ׮ʑeᨱ ۵š}ᬊᙹෝ∊᳒⦹໕ᕽእš}ʑᨱ۵⦹⃽ᮁḡᬊᙹෝ↽ᱢ ᮝಽŖɪ⧁ᙹᯩ۵ᯕᙹᬕᩢłᖁᮥ᜽⧪᪅₉ჶᨱ᮹⦹ᩍࠥ⇽

⦹۵ ႊჶᮥ ᱢᬊ⦹ᩡ݅.

ᯕভ, ᱡᙹḡᯕᙹᬕᩢʑᵡษಉᮥ᭥⦽ᱥᱽᔍ⧎ᮡ݅ᮭŝ

z݅. ℌṙ, ᱡᙹḡ ᯕᙹᬕᩢ ʑᵡᮡ ྕᨨᅕ݅ ᩢ׮ᨱ ḡᰆᯕ

ᨧࠥಾ⦹۵äᯕ໑(š}ʑ׮ᨦᬊᙹᬑᖁŖɪ), ᩍᮁaᯩ۵

Ğᬑ⦹⃽ᮁḡᬊᙹෝŖɪ⧁ᙹᯩ݅. ࢹṙ, ႊඹᱽ⦽ᙹ᭥(׮ᨦᬊ ᙹŖɪʑᵡᙹ᭥) ᯕᔢ᮹ᱡᙹపᨱݡ⦽⦹⃽ᮁḡᬊᙹŖɪᯕ

a܆⦹݅. ᖬṙ, 10֥ኩࠥᯕ⦹⦽ၽ᜽׮ᨦᬊᙹෝᬑᖁŖɪ(⦹⃽

ჶŖɪʑᵡ) ⦽݅. Fig. 2۵ᯕᙹᬕᩢʑᵡłᖁࠥ⇽ᮥ᭥⦽ŝᱶ

ᮥӹ┡ԙäᯕ݅. ᯕ౨íࠥ⇽ࡽᯕᙹᬕᩢłᖁᮥᯕᬊ⦽ࢲ׳ᯥ ᱡᙹḡ᮹ᬕᩢᮡš}ʑᵡᯝ(4ᬵ1ᯝ)᮹༊⢽ᙹ᭥ෝ׮ᨦᬊᙹŖ ɪʑᵡᙹ᭥௝ᱶ᮹⦹Ł, ʑ᳕อᙹ᭥ෝႊඹᱽ⦽ᙹ᭥ಽᖅᱶ⦹ᩍ

š}ʑ᪡እš}ʑಽǍᇥ⦹ᩍᬕᩢ⦹ࠥಾ⦽݅. ᩍʑᕽ, ႊඹᱽ

⦽ᙹ᭥ᯕ⦹᮹ ᱡᙹపᨱ ݡ⦽⦹⃽ᮁḡᬊᙹ Ŗɪᮡ ᱽ⦽ࡽ݅.

እš}ʑ࠺ᦩᨱᱡᙹḡᬕᩢᯱ۵ᯕᙹᬕᩢʑᵡᨱ঑௝⩥ᰍ

ᙹ᭥ੱ۵ᩩᔢࡹ۵vᬑᨱݡ⦽ᩩ⊂ᙹ᭥ಽᇡ░bႊඹʑᵡᙹ᭥

ᄥႊඹపᮥđᱶ⦽݅. እš}ʑ࠺ᦩ᮹ᯕᙹᬕᩢᮡኩࠥ}ֱᯕ

ᦥܭŝÑ༉᮹⊹᮹⠪Ɂᨱ᪥∊Ǎe(Buffer)ᮥᵝᨕ┥ಆᱢᙹ᭥

᳑ᱩᯕa܆⦹ࠥಾ⦽݅. š}ʑᨱ۵ݡȽ༉׮ᨦ݉ḡ᮹ᬊᙹŖɪ ᨱ঑ෙ⫭ȡᙹపၰᬑʑᨱ᮹⦽ྕ⬉ႊඹaၽᔾ⦹Łੱ⦽ᬑʑᯕ အಽᅙඹᩎ᜽ᙹపᯕ⣮ᇡ⧁äᮝಽᩩᔢࢉᮝಽእš}ʑḲᵲႊ

ඹෝ᭥⦹ᩍš}ʑ࠺ᦩ᮹⦹⃽ᮁḡᬊᙹ᮹ႊඹ۵↽ᗭ⪵⦽݅.

3. đŝၰŁₑ

3.1 ܫڔହୠ৤஺ധծंজէրࢫ۩ඝୠ৤஺ট୨ 20} ࢲ׳ᯥᱡᙹḡᨱ ݡ⦹ᩍ Table 2᪡ zᯕ 9} ᄡᙹෝ

᳑⧊⦹ᩍ ᫵ᯙᇥᕾᮥ ᝅ᜽⦹ᩡ݅. ə đŝ, 93%᮹ ᖅ໦ಆᮥ

w۵3}᮹ᵝᖒᇥᮥ⇵⇽⦹ᩡ݅. ᩍʑᕽ, ᫵ᯙ1(Factor1)ᮡŁ

ᮁsᯕ4.899ಽᱥℕᇥᔑ᮹᧞54%᮹ᖅ໦ಆᮥӹ┡ԕ໑, ᱡᙹ ప₉, ᷾Ł׳ᯕ, ᙹ᭥₉ෝ ᖅ໦⦹۵ ᄡᙹॅಽ đ⧊, ᫵ᯙ2 (Factor2)۵Łᮁsᯕ2.106ᮝಽᱥℕᇥᔑ᮹᧞23%᮹ᖅ໦ಆᮥ

ӹ┡ԕ໑, อᙹ໕ᱢŝᙹ⩽໕ᱢᮥᖅ໦⦹۵ᄡᙹॅಽđ⧊, ᫵ᯙ 3 (Factor3)ᮡŁᮁsᯕ1.396ᮝಽᱥℕᇥᔑ᮹᧞16%᮹ᖅ໦ಆ

ᮥӹ┡ԕ໑, ᮁᩎ႑ᮉŝᮁᩎ໕ᱢᮥᖅ໦⦹۵ᄡᙹॅಽđ⧊⦽

äᮥ᮹ၙ⦽݅. ᩍʑᕽ, ᖅ໦ಆᮡb᫵ᯙ᮹Łᮁsᯕᱥℕᇥᔑ (ᄡᙹ)ᮥ ᨝ษӹ ⢽⩥⦹Ł ᯩ۵aෝ ᮹ၙ⦽݅.

᫵ᯙᇥᕾᮥ☖⧕⇵⇽ࡽ3}ᯙᯱෝᯕᬊ⦹ᩍ20}ᱡᙹḡෝ

ݡᔢᮝಽĥ⊖ᱢǑḲᇥᕾႊჶᯙWardჶᮥᯕᬊ⦹ᩍⅾ4}᮹

ǑḲᮝಽᱡᙹḡ✚ᖒᮥᇥඹ⦹ᩡ݅. Table 3ᮡǑḲᇥᕾđŝෝ

ӹ┡ԙäᮝಽ, ǑḲᄥ✚ᖒᇥᕾđŝෝ᫵᧞⦹໕݅ᮭŝz݅.

ǑḲ1(Cluster1)ᮡ⠪Ɂsᨱɝᱲ⦽᫵ᯙ1᮹᷾Ł׳ᯕ, ⪮ᙹ᭥

ၰ อᙹ᭥ ᷾aᇥ, ᫵ᯙ3᮹ ᮁᩎ႑ᮉ᮹ 4} ᄡᙹෝ ᱽ᫙⦹Ł

ӹນḡ5}ᄡᙹ᮹⠪Ɂᯕᱥℕ⠪Ɂᯕ⦹᮹sᮥӹ┡ԕ۵✚ᖒ

ᮥӹ┡ԕᨕ᫵ᯙᱱᙹෝᯕᬊ⦽✚ᖒᇥᕾđŝ᪡ᮁᔍ⦽✚ᖒᮥ

ᅕᯙ݅. ǑḲ2۵ᮁᩎ႑ᮉŝᮁᩎ໕ᱢᮥᖅ໦⦹۵᫵ᯙ3᮹ࢱ

(6)

Table 2. Results of the factor analysis using principal component analysis (PCA) method

Variable name Unit Factor1a Factor2b Factor3c

V1 Added height m 0.928 -0.289 0.129

V2 Increased FWL m 0.919 -0.324 0.104

V3 Added effective storage 103m3 0.917 0.190 0.215

V4 Increased HWL m 0.907 -0.353 0.111

V5 Added gross storage 103m3 0.898 0.305 0.217

V6 Area of full water ha 0.019 0.928 0.236

V7 Irrigated area, IA ha -0.244 0.821 -0.298

V8 Ratio (WA/IA) - 0.198 -0.380 0.894

V9 Watershed area, WA ha 0.187 0.315 0.890

Eigen value - 4.899 2.106 1.396

Variance % 54.429 23.399 15.513

Cumulative variance % 54.429 77.829 93.341

aFactor1: V1, V2, V3, V4, V5

bFactor2: V6, V7

cFactor3: V8, V9

Table 3. Results of the cluster analysis for the heightened agricultural reservoirs

Variable Average for each cluster (standard deviation)

Cluster1a Cluster2b Cluster3c Cluster4d Total

V1 4.2 (1.6) 2.8 (1.1) 2.1 (0.7) 10.4 (1.9) 4.6 (3.4)

V2 4.4 (1.8) 3.1 (0.1) 2.2 (0.7) 10.2 (1.7) 4.7 (3.3)

V3 880.0 (333.9) 787.9 (352.1) 911.1 (423.1) 2566.9 (766.0) 1219.0 (818.7)

V4 4.6 (1.6) 3.1 (0.1) 2.1 (0.6) 10.1 (1.9) 4.7 (3.2)

V5 917.7 (356.8) 723.7 (476.1) 1054.3 (429.1) 2585.6 (802.6) 1279.7 (818.9)

V6 19.5 (3.8) 30.1 (13.3) 57.1 (25.4) 39.4 (16.1) 37.7 (23.0)

V7 246.2 (132.0) 199.4 (29.5) 591.1 (125.3) 249.3 (93.5) 362.9 (204.0)

V8 3.9 (1.7) 11.7 (3.3) 2.1 (0.9) 7.3 (2.3) 4.7 (3.4)

V9 852.3 (318.9) 2283.0 (306.9) 1252.6 (513.1) 1683.1 (254.9) 1301.6 (581.2)

aCluster1: 7 reservoirs (Ungyang, Hangye, Geumsa, Jincheon, Daepyeong, Utang, Jinrye)

bCluster2: 2 reservoirs (Gungchon, Bangye)

cCluster3: 7 reservoirs (Boksim, Yongam, Gyeryong, Gwanghye, Chupyeong, Dorim, Jangchan)

dCluster4: 4 reservoirs (Unam, Jangpyeong, Gucheon, Jangchi)

}ᄡᙹ⠪Ɂsᯕᱥℕ⠪Ɂᅕ݅ᔢݡᱢᮝಽⓑsᮥᅕᯕအಽ

ǑḲ2(Cluster2)۵ᮁᩎ႑ᮉŝᮁᩎ໕ᱢᯕⓑ✚ᖒᮥӹ┡ԙ݅.

ੱ⦽ᮁᩎ໕ᱢᨱእ⧕᷾Ł׳ᯕa᯲ᦥ⇵aᱡᙹపᯕ᯲ᮡäᮥ

᦭ᙹᯩ݅. ǑḲ3(Cluster3)ᮡอᙹ໕ᱢŝᙹ⩽໕ᱢᮥᖅ໦⦹۵

᫵ᯙ2᮹ࢱ}ᄡᙹ⠪Ɂsᯕᱥℕ⠪Ɂᅕ݅ᔢݡᱢᮝಽⓑsᮥ

ᅕᯕအಽǑḲ3ᮡอᙹ໕ᱢŝᙹ⩽໕ᱢᯕⓑ✚ᖒᮥӹ┡ԙ݅.

ǑḲ4۵ᱡᙹప₉, ᷾Ł׳ᯕ, ᙹ᭥₉ෝ᮹ၙ⦹۵᫵ᯙ1᮹5}

ᄡᙹ᮹⠪Ɂsᯕᱥℕ⠪Ɂᅕ݅ᔢݡᱢᮝಽⓑsᮥᅕᯕŁᯩᮥ

ᐱอᦥܩ௝ᮁᩎ႑ᮉŝᮁᩎ໕ᱢᮥᖅ໦⦹۵᫵ᯙ3᮹2}ᄡᙹ

᮹⠪Ɂsᯕᱥℕ⠪Ɂᅕ݅ⓑsᮥᅕᯕŁᯩ݅. ঑௝ᕽǑḲ 4(Cluster4)۵᷾Ł׳ᯕa⍅⇵aᬊᙹపᯕ݅ෙᱡᙹḡᨱእ⧕

ฯᮝ໑ᮁᩎ໕ᱢᮡᔍᨦᱥŝᄡ⪵aᨧᮝအಽᮁᩎ႑ᮉᯕⓑ

ᱡᙹḡᯥᮥ᦭ᙹᯩ݅. ↽᳦ᱢᮝಽ, ǑḲᇥᕾᨱ঑ෙݡ⢽ᱡᙹ ḡ۵ǑḲ1᮹ᬦ᧲ᱡᙹḡ, ǑḲ2᮹ǢⅭᱡᙹḡ, ǑḲ3᮹ᬊᦵᱡ ᙹḡ, ǑḲ4᮹ᬕᦵᱡᙹḡෝbbᖁᱶ⦹ᩍᯕᙹᬕᩢʑᵡłᖁ

ࠥ⇽ᨱ঑ෙ⦹⃽ᮁḡᬊᙹŖɪ܆ಆၰᱢᬊᖒᮥ⠪a⦹ᩡ݅.

݅ᮭTable 4۵ǑḲᇥᕾᨱ঑ෙᖁᱶࡽݡ⢽ࢲ׳ᯥᱡᙹḡ᮹

ᵝ᫵ ᱽᬱᮥ ᱶญ⦽ äᯕ݅.

(7)

Table 4. Summary of the parameter informations for the representative heightened agricultural reservoirs by cluster analysis

Parameter Ungyang (Cluster1) Gungchon (Cluster2) Yongam (Cluster3) Unam (Cluster4)

Location River basin Nakdong Han Geum Nakdong

Weather Station Geochang Wonju Cheongju Mungyeong

Data 1986-2010 1986-2010 1967-2010 1973-2010

Area

Watershed area, WA (ha) 1,160 2,066 1,620 1,320

Irrigated area, IA (ha) 537 220 762 212

Ratio (WA/IA) 2.2 9.4 2.1 6.2

Paddy (%) 2.8 4.7 4.4 9.8

Upland crop (%) 7.2 8.0 16.4 11.7

Forest (%) 87.4 87.3 69.3 76.1

Storage

Effective storage (103m3) 2,281 624 4,146 738

Added storage (103m3) 1,009 535 1,139 1,925

Dead storage (103m3) 107 1 416 15

Added height (m) 3.9 2.0 0.9 10.1

Cultivation

Transplanting area (ha) 537 220 1,620 212

Nursery period 05/01-06/10 04/21-05/31 04/21-05/31 04/21-05/31 Transplanting period 06/01-06/20 05/21-06/10 05/21-06/10 05/21-06/10 Main farming period 06/21-09/21 06/11-09/11 06/11-09/11 06/11-09/11

Infiltration (mm/day) 4.5 6.0 5.0 5.7

Water conveyance loss (%) 10.0 15.0 10.0 10.0

3.2 ܫڔହୠ৤஺૳߆ࢼं

ࢲ׳ᯥᱡᙹḡŖe᮹༊ᱢᄥ႑ᇥႊᦩᮡʑ᳕׮ᨦᬊᙹ⦥᫵

ᱡᙹపᨱ⧕ݚ⦹۵׮ᨦᬊᙹᙹ᭥ෝʑᵡᮝಽᦥ௹᪡᭥ෝǍᇥ

⦹ᩍŖe᮹⪽ᬊ༊ᱢᮥݍญ⦹۵ႊ᜾ᯕ݅(׮ฝᙹᔑ᜾⣩ᇡ, 2011). ঑௝ᕽ, ᝁȽอᙹ᭥(ࢲ׳ᯕʑᔍᨦᯕ⬥᮹ᔢ᜽อᙹ᭥, HWL)ᨱᕽᇡ░ႊඹᱽ⦽ᙹ᭥(׮ᨦᬊᙹŖɪʑᵡᙹ᭥, RWL) ʭḡ᮹⇵a⪶ᅕᱡᙹపᨱݡ⦽ᯕᙹᬊపᮥđᱶ⦹Ł, ႊඹᱽ⦽

ᙹ᭥ᯕᔢᮥ⦹⃽ᮁḡᬊᙹŖɪᱽ⦽ᙹ᭥ಽᖅᱶ⦹ᩍእš}ʑ ᵡᯝ(10ᬵ1ᯝ)ᇡ░š}ʑᵡᯝ(4ᬵ1ᯝ)ʭḡᮁ⬉ᱡᙹపᵲእ š}ʑ ⦹⃽ᮁḡᬊᙹŖɪᮥ ᭥⦽ ᯕᙹᬊపᮥ ⪶ᅕ⦹í ࡽ݅.

ᩍʑᕽ, ⪮ᙹʑᱽ⦽ᙹ᭥۵ᯕᙹᬕᩢอᮥ᭥⦽äᮝಽᅙᩑǍᨱ ᕽ۵Łಅ⦹ḡᦫᦹ݅. Fig. 3ᮡbǑḲᄥݡ⢽ࢲ׳ᯥᱡᙹḡ᮹

ᬊప႑ᇥ đŝෝ ӹ┡ԙ äᯕ݅.

3.3 ଲ৤૶ઽࡦଭէր

ᯕᙹᬕᩢ༉⩶ᮥᯕᬊ⦹ᩍbݡ⢽ࢲ׳ᯥᱡᙹḡᨱݡ⦽ᯕᙹ ᬕᩢ༉᮹ෝᝅ᜽⦹ᩡ݅. Table 4᮹ᮁᩎၰᱡᙹḡᱽᬱᱶᅕಽᇡ

░༉᮹᳑Õᮥᖅᱶ⦹ᩡᮝ໑, ༉᮹ʑeᮡʑᔢš⊂ᯱഭ᮹ʑe ŝz݅. ⦹⃽ᮁḡᬊᙹŖɪa܆ᩍᇡෝ❱݉⦹ʑ᭥⧕, ⦹⃽ᮁḡ ᬊᙹŖɪᨧᯕᱡᙹḡᮁ᯦పၰᙹญᦩᱥݖᯕᦺᰍ႑໕ᱢ᮹

š}⦥᫵ᙹపᔑᱶᮥ☖⧕ᯝᄥྜྷᙹḡᇥᕾᮥᝅ᜽⦹ᩡ݅. ༉⩶

Ǎ࠺ᮥ᭥⦽༉᮹᳑ÕᮡⅩʑᙹ᭥ෝႊඹᱽ⦽ᙹ᭥ಽᖅᱶ⦹Ł

᯲ᇡ᜽ʑ, ⋉⚍ప, ᙹಽᗱᝅශᮡ׮ฝᙹᔑ᜾⣩ᇡ(2011)ᨱᕽࢲ

׳ᯥᱡᙹḡᄥಽᱽ᜽⦽sᮥᱢᬊ⦹ᩡᮝ໑(Table 5), e݉š}

ၰᵲeӺᙹ۵༉⩶Ǎ࠺ᨱŁಅࡹḡᦫᦹ݅. ⦽⠙, ᅙᩑǍᨱᕽ۵

ᱡᙹḡ ᮁ᯦ప, ᱡᙹ᭥ ၰ ႊඹప ᯱഭ᪡ zᯕ ༉⩶᮹ᱢᬊᖒ

Fig. 4۵ʑ᳕݉ᯝ༊ᱢ᮹š}ᬊᙹŖɪᨱ঑ෙࢲ׳ᯥᱡᙹḡ

ᯕᙹᬕᩢ༉᮹đŝಽᕽ, ᬵᄥႊඹపၰᱡᙹᮉᄡ⪵ෝӹ┡ԙ

äᯕ݅. ຝᱡᬵᄥႊඹపᄡ⪵ෝᔕ⠕ᅕ໕, 4}ᱡᙹḡ༉ࢱ

ᩑᵲྕ⬉ႊඹaၽᔾ⦹۵äᮝಽӹ┡ԍ݅. ᯕ۵ᔢ᜽อᙹ᭥ᨱ

aʭᬕᱡᙹ᭥ෝᮁḡ⦹ʑভྙᨱᮁᩎᮁ⇽ప᮹Ƚ༉a᯲ᮡ

ĉᬙ℁ᨱࠥྕ⬉ႊඹaၽᔾ⦹ᩡ݅. ✚⯩, ⪮ᙹʑ(6~9ᬵ) ࠺ᦩ ᮹ ྕ⬉ႊඹప Ƚ༉a ⓑ äᮝಽ ᇥᕾࡹᨩ݅. ᅙ ᩑǍᨱᕽ۵

⪮ᙹšญᙹ᭥ෝŁಅ⦹ḡᦫᦹʑভྙᨱ⪮ᙹʑྕ⬉ႊඹపᯕ

ŝݡ ⇵ᱶࡹᨩ݅. ✚⯩, ǢⅭᱡᙹḡ᮹ Ğᬑ 7, 8ᬵ ᮁ᯦ప᮹

90% ᯕᔢᮥ, ᬕᦵᱡᙹḡ۵80% ᯕᔢᮥྕ⬉ႊඹ᜽┅۵äᮝಽ

ӹ┡ԍ݅. ᬵᄥᱡᙹᮉᄡ⪵ෝᅕ໕, š}ʑ᪡እš}ʑ༉ࢱ

ႊඹᱽ⦽ᙹ᭥ᯕ⦹ಽਉᨕḡḡᦫ۵äᮝಽӹ┡ԍ۵ߑ, š}ʑ a Ҿӹ۵ 9ᬵᇡ░ ᱡᙹᮉᯕ ᔢ᜚⦹໕ᕽ š}ʑa ᜽᯲ࡹ۵

4ᬵᨱ 100%ᨱ aʭᬕ ᱡᙹᮉᮥ ᅕᩡ݅.

Table 5۵֥⠪Ɂྜྷᙹḡ༉᮹đŝෝᱶญ⦽äᮝಽ, ྜྷᙹḡ۵

(8)

(a) Ungyang (b) Gungchon

(c) Yongam (d) Unam

Fig. 3. Reservoir storage allocation for multipurpose water supply Table 5. Summary of the annual water balance for each representative heightened agricultural reservoir

Component Reservoir (cluster)

Unyang (1) Gungchon (2) Yongam (3) Unam (4)

Number of simulation years 25 25 44 38

Precipitation (mm) 1,325 1,364 1,230 1,242

Inflow (103m3) 10,246 18,838 13,497 9,815

Irrigation water (103m3) 3,565 2,122 6,269 1,756

Water balance (103m3) 6,680 16,715 7,228 8,059

Irrigation return flow (103m3) 1,248 743 2,194 615

Release water from spillway (103m3) 6,781 16,840 7,580 8,146

Number of water shortage years 0 0 0 0

ᱡᙹḡᮁ᯦పŝᮁ⇽ప(š}ᬊᙹప)᮹šĥෝӹ┡ԙäᮝಽ

ᮁᩎ႑ᮉᯕaᰆⓑǢⅭᱡᙹḡa16,715×103m3ᮝಽaᰆⓍŁ, ᬦ᧲ᱡᙹḡa6,680×103m3ᮝಽaᰆ᯲ᮡäᮝಽᇥᕾࡹᨩ݅.

š}ᬊᙹ᮹⫭ȡᮉᮡḡᩎၰ᜽ʑᄥ, ᳑ᔍᯱ᪡ᩑǍႊჶᨱ঑௝

ๅᬑᝍ⦽⠙₉ෝᅕᯕŁᯩ݅(⇵┽⪙, 2004). ׮ฝᙹᔑ᜾⣩ᇡ (2008) ׮ᨦᬊᙹ⫭ȡᙹప᳑ᔍᨱ঑෕໕ḡ⩶ᱢ✚ᖒ, ᙹᬱŖ᮹

᳦ඹ, Ǎ⫮⩶┽॒ᨱ঑௝⫭ȡᮉᮡݍญᱢᬊࡹ໑, ᱡᙹḡ᮹

Ğᬑ 24.4~51.7%᮹ ᇥ⡍ෝ ᅕᯕŁ ᯩᮝӹ ᯝၹᱢᮝಽ 35%

ᱶࠥ᮹ ⫭ȡᮉᮥ ᱢᬊ⦽݅Ł ᳑ᔍ⦽ ၵ ᯩ݅. ᅙ ᩑǍᨱᕽ۵

š}ᬊᙹŖɪపᨱ35%a⦹⃽ᮝಽ⫭ȡࡹ۵äᮝಽeᵝ⦹Ł

⦹⃽ႊඹపᮥᔑᱶ⦹ᩡ݅. ⇵aᱡᙹప⪶ᅕᨱ঑ෙš}ᬊᙹŖ ɪᨱݡ⦽ྜྷᇡ᳒ᯕၽᔾ⦹ḡᦫᮝ໕ᕽᝁ഑ࠥ۵4}ᱡᙹḡ

༉ࢱ 100%ಽ ᇥᕾࡹᨩ݅. ᯕ۵ š}ᬊᙹ᮹ Ŗɪ܆ಆᯕ ݚⅩ

ᖅĥʑᵡ(10֥⦽ၽኩࠥ)ᅕ݅⨆ᔢࡽäᮝಽእš}ʑ࠺ᦩ᮹

⦹⃽ᮁḡᬊᙹ Ŗɪᯕ a܆⧁ äᯕ໑, ⬉ŝᱢᯙ ᯕᙹᬕᩢᮝಽ

⪮ᙹʑ ྕ⬉ႊඹపᮥ ᵥᯝ ᙹ ᯩᮥ äᮝಽ ʑݡࡽ݅.

(9)

(a) Ungyang (b) Gungchon

(c) Yongam (d) Unam

Fig. 4. Monthly release and storage rate for each representative heightened agricultural reservoir

3.4 ۗண૳৤վׂۇߚඌԧ

ࢲ׳ᯥᱡᙹḡ᮹݅ᵲᬊᙹŖɪ܆ಆ⠪aෝ᭥⧕Fig. 2᮹ᱩ₉ ᨱ঑௝š}ᬊᙹၰ⦹⃽ᮁḡᬊᙹŖɪᮥ᭥⦽ᯕᙹᬕᩢʑᵡᮥ

ษಉ⦹Ł, š}ʑ᪡እš}ʑ࠺ᦩ᮹bႊඹʑᵡᙹ᭥ᄥᬊᙹŖ ɪᮥ☖⦽ᯕᙹᬕᩢ༉᮹ෝᙹ⧪⦹ᩡ݅. ༉᮹᳑Õᮡᦿᕽʑᚁ⦽

ྜྷᙹḡᇥᕾႊჶŝ࠺ᯝ⦹໑, ᯕᙹᦩᱥࠥ90% ᯕᔢ᮹᳑Õᮥ

ᙹಕ⦹۵⦹⃽ᮁḡᬊᙹŖɪపᮥᔑᱶ⦹Ł, ݅ᵲᬊᙹŖɪᨱ঑

ෙ ᝁ഑ࠥ, ⫭ᅖࠥ, ≉᧞ࠥෝ ⠪a⦹ᩡ݅.

ຝᱡ, ⦹⃽ᮁḡᬊᙹŖɪᨱ঑ෙᬵᄥႊඹపၰᱡᙹᮉ᮹

ᄡ⪵ෝᔕ⠕ᅕ໕, Fig. 5ᨱᕽ᦭ᙹᯩॐᯕእš}ʑᨱḲᵲᱢᮝ ಽ⦹⃽ᮁḡᬊᙹ᮹Ŗɪᯕa܆⦽äᮝಽᇥᕾࡹᨩ݅. Fig. 4᮹

š}ᬊᙹอᮥŖɪ⧩ᮥভ᮹ᬵᄥᄡ⪵᪡እƱ⧕ᅕ໕, እš}ʑ ᨱၽᔾ⦽ྕ⬉ႊඹaݡᇡᇥ⦹⃽ᮁḡᬊᙹಽႊඹࡽäᮝಽ

ᇥᕾࡹᨩ݅. ⦽⠙, ᮁᩎ႑ᮉᯕ ⓑ ǢⅭᱡᙹḡ᮹ Ğᬑ, ⪮ᙹʑ

ᮁ᯦ప᮹Ƚ༉aⓍʑভྙᨱš}ʑ⦹⃽ᮁḡᬊᙹ᮹↽ᗭႊඹ

ʑᵡᨱ ঑௝ ᩍᱥ⯩ ྕ⬉ႊඹ᮹ Ƚ༉a ⓑ äᮝಽ ӹ┡ԍ݅.

ᬊᦵŝᬕᦵᱡᙹḡ᮹Ğᬑ, ⬉ŝᱢᯙᯕᙹᬕᩢᮝಽྕ⬉ႊඹప ᯕ Ⓧí qᗭ⦹۵ äᮝಽ ᇥᕾࡹᨩ݅. əಽᯙ⧕, ᬦ᧲, ǢⅭ, ᬊᦵ, ᬕᦵ ᱡᙹḡ bb᮹ ᬵ⠪Ɂ ᱡᙹᮉᯕ 8.8, 16.7, 11.5, 55.8% qᗭ⦹ᩡ݅.

ᯕᙹᬕᩢʑᵡᱢᬊᨱ঑ෙ֥⠪Ɂ⦹⃽ᮁḡᬊᙹᔑᱶđŝ᪡

əᨱ঑ෙš}ᬊᙹŖɪ܆ಆ⠪ađŝෝTable 6ᨱᱶญ⦹ᩡ݅.

ᬦ᧲ᱡᙹḡ۵20}ᱡᙹḡ(Table 1) ✚ᖒᇥᕾᨱ঑௝⠪Ɂᙹᵡ᮹

ǑḲ1ᨱ⧕ݚ⦹۵ݡ⢽ᱡᙹḡಽᕽ1,009×103m3᮹⇵aᱡᙹపᨱ

ݡ⧕2.1႑ᨱ⦹⃽ᮁḡᬊᙹෝŖɪ⧁ᙹᯩ۵äᮝಽᇥᕾࡹᨩ݅.

ᮁᩎ႑ᮉᯕ ׳ᮡ ✚Ḷᮥ ӹ┡ԕ۵ ǑḲ2᮹ ǢⅭᱡᙹḡ۵

535×103m3᮹⇵aᱡᙹపᨱݡ⧕7.5႑ᨱ⧕ݚ⦹۵⦹⃽ᮁḡᬊ ᙹෝŖɪ⧁ᙹᯩ۵äᮝಽᇥᕾࡹᨩ݅. ⦹ḡอ, ǑḲ2᮹ᱡᙹḡ

ॅᮡ⪮ᙹʑྕ⬉ႊඹప᮹Ƚ༉aⓕäᮝಽᩩᔢࡹʑভྙᨱ

ᦩᱶᱢᯙᯕᙹၰ⊹ᙹᬕᩢᮥ᭥⧕⪮ᙹ᳑ᱩᙹ᭥ෝŁಅ⦹ᩍ

(10)

(a) Ungyang (b) Gungchon

(c) Yongam (d) Unam

Fig. 5. Changes in the monthly release and storage rate by multipurpose water supply for each representative heightened agricultural reservoir

Table 6. Changes in the reliability, resilience, and vulnerability by multipurpose water supply for each representative heightened agricultural reservoir

Reservoir (Cluster)

Release (103m3)a Water supply reliabilityb(%)

Performance indicator

IRF Spill ENVF Reliability (%) Resiliency (%) Vulnerability (103m3)

Unyang(1) 1,248 4,419 2,403 92.0 98.5 4.4 336

Gungchon(2) 743 12,891 3,994 92.0 99.7 15.4 224

Yongam(3) 2,194 3,570 4,093 93.2 99.5 7.0 1,457

Unam(4) 615 1,991 6,306 92.1 99.7 13.6 342

aIRF, Spill, and ENVF: irrigation return flow, release water from spillway, and environmental flow.

bThe values were calculated by number of water shortage years during simulation period.

ႊඹʑᵡᙹ᭥᮹᳑ᱶᯕ⦥᫵⧁äᮝಽ❱݉ࡽ݅. ᙹ⩽໕ᱢᯕⓑ

✚Ḷᮥӹ┡ԕ۵ǑḲ3᮹ᬊᦵᱡᙹḡ۵š}ᬊᙹᨱݡ⦽⫭ȡᙹ పᯕᔢݡᱢᮝಽฯᮡäᮥ᦭ᙹᯩᮝ໑, 1,139×103m3᮹⇵aᱡ ᙹపᨱ ݡ⧕ 3.6႑ ⧕ݚ⦹۵ ⦹⃽ᮁḡᬊᙹෝ Ŗɪ⧁ ᙹ ᯩ۵

äᮝಽᇥᕾࡹᨩ݅. ษḡสᮝಽ, ᷾Ł׳ᯕaⓑ✚Ḷᮥӹ┡ԕ۵

ǑḲ4᮹ᬕᦵᱡᙹḡ۵1,925×103m3᮹⇵aᱡᙹపᨱݡ⧕3.3႑ ᨱ⧕ݚ⦹۵⦹⃽ᮁḡᬊᙹෝŖɪ⧁ᙹᯩ۵äᮝಽᇥᕾࡹᨩ݅.

⦽⠙, ݅ᵲᬊᙹŖɪ܆ಆ⠪aෝ᭥⧕ᯝ݉᭥༉᮹đŝಽᇡ░

Eqs. (3), (5) and (6)ᨱ᮹⧕ᝁ഑ࠥ, ⫭ᅖࠥၰ≉᧞ࠥෝbb

ᔑᱶ⦹ᩡ݅. 4}᮹ݡ⢽ᱡᙹḡ༉ࢱ98% ᯕᔢ᮹׳ᮡᝁ഑ࠥෝ

(11)

(a) Ungyang (b) Gungchon

(c) Yongam (d) Unam

Fig. 6. Operating rule curve of heightened agricultural reservoir for multipurpose water supply.

ᅕᩡᮝӹ, ⫭ᅖࠥ۵15% ᯕ⦹᮹ԏᮡᙹᵡᮝಽӹ┡ԍ݅. ǢⅭŝ

ᬕᦵᱡᙹḡ᪡zᯕᮁᩎ႑ᮉᯕⓑᱡᙹḡᨱᕽᔢݡᱢᮝಽ⫭ᅖ ᗮࠥa዁෕໑, ᬊᦵᱡᙹḡ᪡zᯕᙹ⩽໕ᱢᯕⓑᱡᙹḡᨱᕽ۵

⦽ၽ᜽š}ᬊᙹᇡ᳒ప᮹Ƚ༉aⓍʑভྙᨱ≉᧞ࠥaⓑ

äᮝಽ ᇥᕾࡹᨩ݅.

3.5 ଲ৤૶ઽ׆ஜմটܑౢ

݅ᵲᬊᙹŖɪ܆ಆ⠪ađŝෝ☁ݡಽᯕᙹᬕᩢʑᵡᱢᬊᨱ

঑ෙࢲ׳ᯥᱡᙹḡ᮹ᯕᙹᬕᩢʑᵡłᖁᮡŝÑᯕᙹᬕᩢ༉᮹đ ŝಽᇡ░ᯝᄥᱡᙹ᭥ෝ႒ᇥ᭥(Percentile Rank)ಽ⢽⩥⦹ᩡ݅.

ᯕ۵⨆⬥ᱡᙹḡᬕᩢᨱ⦥᫵⦽ᯕᙹᬕᩢʑᵡᮝಽ, ᬕᩢᯱ᮹

᮹ᔍđᱶᮥḡᬱ⦹ʑ᭥⧕⣮ᙹ֥, ⠪ᙹ֥, iᙹ֥ᮝಽǍᇥ⦹ᩍ

⦹⃽ᮁḡᬊᙹ ႊඹపᮥ đᱶ⧁ ᙹ ᯩࠥಾ ⦹ᩡ݅. ຝᱡ, ᔢ᭥

75%ᯕᔢ᮹ᱡᙹ᭥ෝᮁḡ⧁ভෝ⣮ᙹ֥ᮝಽᅕŁ, ႊඹʑᵡᙹ᭥

ᯕᔢ᮹┥ಆᱢ⦹⃽ᮁḡᬊᙹŖɪᯕa܆⦹໑, ᵲes(Median)ᮥ

ʑᵡᮥ ঑෕ࠥಾ ⦽݅. iᙹ֥ᮡ ᵲes ᪥∊Ǎe ᯕ⦹(25%

ᯕ⦹)᮹ᱡᙹ᭥ෝᮁḡ⧁ভಽᱽ⦽ᱢႊඹෝ⦹ࠥಾ⦽݅. 5%ᯕ

⦹᮹ᱡᙹ᭥Ǎeᮡ⦽ၽ֥ᮝಽ⦹⃽ᮁḡᬊᙹ᮹Ŗɪᮥᱽ⦽⦹

໑, š}ᬊᙹอᮥ ᬑᖁ Ŗɪ⦽݅.

Fig. 6ᮡᯕᙹᬕᩢʑᵡᱢᬊᨱ঑ෙࠥ⇽ࡽbࢲ׳ᯥᱡᙹḡᄥ

ᯕᙹᬕᩢʑᵡłᖁᮝಽ, bႊඹʑᵡᙹ᭥ᄥႊඹపŝᯝᄥ↽ᗭ

ၰ↽ݡᱡᙹ᭥᮹ჵ᭥ෝ᦭ᙹᯩᮝ໑ᱡᙹ᭥ᄡ⪵⡎ᯕ᯲ᮥᙹಾ

ᯕᙹᬕᩢᨱᮁญ⧁äᮝಽᩩᔢࡽ݅. እš}ʑᨱእ⧕š}ʑ᮹

ᱡᙹ᭥ᄡ⪵⡎ᯕⓑäᮡ4~5ᬵ᮹ᅥaྥŝᅙݖʑa᜽᯲ࡹ۵

6ᬵᇡ░š}ᬊᙹᔍᬊపᯕฯᦥḡʑভྙᯙäᮝಽ❱݉ࡽ݅.

4. đು

׮ᨦᬊࢲ׳ᯥᱡᙹḡ۵š}ᬊᙹ᮹Ŗɪŝ޵ᇩᨕ⦹⃽ᮁḡ ᬊᙹෝŖɪ⧕᧝⦹۵݅༊ᱢᬕᩢᯕ᫵Ǎࢉᨱ঑௝ʑ᳕ŝ۵

݅ෙᯕᙹᬕᩢʑᵡᮥ⦥᫵ಽ⦹íࡹᨩ݅. ᯕᨱᅙᩑǍᨱᕽ۵

20}ࢲ׳ᯥᱡᙹḡෝݡᔢᮝಽ✚ᖒᇥᕾᨱ঑௝4}᮹ǑḲᮝಽ

ᇥඹ⦹ᩍᬦ᧲, ǢⅭ, ᬊᦵ, ᬕᦵᱡᙹḡᨱݡ⦽݅ᵲᬊᙹŖɪ

܆ಆ ⠪a ၰ ᯕᙹᬕᩢʑᵡłᖁᮥ ࠥ⇽⦹ᩡ݅.

əđŝ, 4}᮹ݡ⢽ᱡᙹḡ༉ࢱ10֥⦽ၽ᮹ᖅĥኩࠥෝ

(12)

อ᳒⦹۵ᯕᙹᦩᱥࠥෝᅕᯕ໑, š}ᬊᙹŖɪᨱݡ⦽98% ᯕᔢ ᮹׳ᮡᝁ഑ࠥෝӹ┡ԩ݅. ✚ᖒᇥᕾᨱ঑ෙ⠪Ɂᙹᵡ᮹ᱡᙹḡ Ǒ(ǑḲ1)ᮡ⇵aᱡᙹప᮹᧞2႑ᯕᔢ᮹⦹⃽ᮁḡᬊᙹෝŖɪ

⧁ᙹᯩᮥäᮝಽʑݡࡽ݅. ᮁᩎ႑ᮉᯕ׳ᮡᱡᙹḡǑ(ǑḲ2)ᮡ

ᮁ᯦ప᮹Ƚ༉aᔢݡᱢᮝಽⓍ໑, እƱᱢฯᮡ᧲᮹⦹⃽ᮁḡᬊ ᙹෝŖɪ⧁ᙹᯩᮝӹ⪮ᙹʑྕ⬉ႊඹప᮹Ƚ༉aⓍʑভྙᨱ

š}ʑႊඹʑᵡᙹ᭥᮹᳑ᱶᯕ⦥᫵⧁äᮝಽᔍഭࡽ݅. ੱ⦽, ᙹ⩽໕ᱢᯕⓑᱡᙹḡǑ(ǑḲ3)ᮡš}ᬊᙹᨱݡ⦽⫭ȡᙹపᯕ

ᔢݡᱢᮝಽฯʑভྙᨱᩑᵲᦩᱶᱢᯙ⦹⃽ᮁḡᬊᙹ᮹Ŗɪᯕ

a܆⧁äᯕ໑, ᷾Ł׳ᯕaⓑᱡᙹḡǑ(ǑḲ4)ᮡᱡᙹḡᙹᄡŖ eᮥŁಅ⦽Ğšᙹ᭥᯦ࠥᨱ঑ෙᯕᙹᬕᩢʑᵡłᖁᯕ⦥᫵⧁

äᮝಽ ᔍഭࡽ݅.

ᝅᱽ ᱡᙹḡ ᬕᩢᮥ ᭥⧕ᕽ۵ ḡᗮᱢᯙ ༉ܩ░ยᮝಽᇡ░

ĥ⊂ᯱഭ᪡᮹እƱෝ☖⦽ᯕᙹᬕᩢʑᵡłᖁ᮹ᅕᱶᯕᯕ൉ᨕ Კ᧝⧁äᯕ݅. ੱ⦽, ᬕᩢłᖁ᮹ᬊᯕᖒ⪶ᅕෝ᭥⧕ᕽ۵Ğš ᙹ᭥, ⪮ᙹ᳑ᱩᙹ᭥, ᖅĥ✚ᖒ, ≉ᙹ᜽ᖅ⩶┽॒ᮥŁಅ⦽ᱡᙹ ḡ ✚ᖒᄥ ᯕᙹᬕᩢłᖁᯕ ษಉࡹᨕ᧝ ⧁ äᯕ݅.

ᅙᩑǍ۵׮ᨦᬊᱡᙹḡ᮹݅ᵲᬊᙹŖɪᨱ঑ෙᬕᩢ൑ၰ

aᯕऽ௝ᯙᖅᱶᮥ᭥⧕š}ᬊᙹ᮹ᦩᱶᱢᯙŖɪŝᱡᙹḡ

⦹ඹ⦹⃽᮹⦹⃽ᮁḡᬊᙹŖɪᮥ᭥⦽ᯕᙹᬕᩢʑᵡłᖁᮥࠥ

⇽⦽ äᮝಽ, ⨆⬥ ᩩᔢࡹ۵ ʑᔢ᳑Õᨱᕽ᮹ ᵝ݉᭥, ᬵ݉᭥

ᬊᙹŖɪĥ⫮ᙹพᯕ a܆⧁ äᮝಽ ʑݡࡽ݅.

qᔍ᮹ɡ

ᯕםྙᮡ2012֥ࠥᱶᇡ(Ʊᮂŝ⦺ʑᚁᇡ)᮹ᰍᬱᮝಽ⦽ǎ ᩑǍᰍ݉᮹ ḡᬱᮥ ၼᦥ ᙹ⧪ࡽ ᩑǍᯥ(No. 2012-0008716).

References

Choo, T. H. (2004). “Return flow analysis of Irrigation for a paddy field neighboring the downstream of Weolgok reservoir in the Nakdong River Basin.” Journal of the Korean Society of Civil Engineers, Vol. 24, No. 2B, pp. 123-129 (in Korean).

Doorenbos, J. and Pruitt, W. O. (1977). Guidelines for predicting crop water requirements, Irrigation and Drainage Paper No. 24 (rev.), FAO, Rome.

Everitt, B. S., Landau, S. and Leese, M. (2001). Cluster analysis.

edward arnold, London.

Hashimoto, T., Loucks, D. P. and Stedinger, J. R. (1982a). “Robustness of water resources systems.” Water Resources Research, Vol. 18, pp. 21-26.

Hashimoto, T., Stedinger, J. R. and Loucks, D. P. (1982b). “Reliability,

resiliency, and vulnerability criteria for water resource system performance evaluation.” Water Resources Research, Vol. 18, pp. 14-20.

Kaiser, H. F. (1958). “The varimax criterion for analytic rotation in factor analysis.” Psychometrika, Vol. 23, pp. 187-200.

Kaufman, L. and Rousseeuw, P. J. (1990). Finding groups in data:

An Introduction to Cluster Analysis, John Wiley and Sons, New York, N.Y.

Kim, T. C., Noh, J. K. and Park, S. K. (1992). “Operating rule of irrigation reservoir.” Journal of Korean Society of Agricultural Engineers, Vol. 34, No. 1, pp. 33-40 (in Korean).

Kim, T. C., Lee, J. M. and Lee, D. J. (2003). “A rotational irrigation scheduling for an irrigated paddy blocks with operation rule curve.” Journal of Korean Society of Agricultural Engineers, Vol. 45, No. 5, pp. 67-76 (in Korean).

Kim, H. D., Lee, K. Y., Jung, I. K., Jung, K. W. and Kwon, J. W.

(2011). “The classification of dam heightening reservoir using factor and cluster analysis.” Irrigation and Drainage, Vol. 18, No. 2, pp. 66-75 (in Korean).

Lee, J. N. and Noh, J. K. (2010). “Evaluating of supplying instream flow by operation rule curve for heightening irrigation reservoir.”

Journal of Agricultural Science, Vol. 27, No. 3, pp. 481-490 (in Korean).

Lee, T. H. (2011). Introduce of the hydrological operation model for water resources system, Water for Future, KWRA, Vol. 44, No. 7, pp. 88-91 (in Korean).

MAF (1998). The standard design for agricultural structures:

Estimation standard of irrigation water requirement, Ministry of Agriculture and Forestry (in Korean).

MFAFF (2008). A study on the investigation measure of using water in the rural area, Ministry for Food, Agriculture, Forestry and Fisheries (in Korean).

MFAFF (2011). Development of operation and management techniques for heightened agricultural reservoir, Ministry for Food, Agriculture, Forestry and Fisheries (in Korean).

Noh, J. K. (2010a). “Evaluating water securing of geumbong reservoir followed by new reservoir construction.” Irrigation and Drainage, Vol. 17, No. 1, pp. 43-53 (in Korean).

Noh, J. K. (2010b). “Affecting water supply capacity followed by allocating flood control volume in heightening reservoir.”

Irrigation and Drainage, Vol. 17, No. 2, pp. 57-70 (in Korean).

Park, J. Y., Joh, H. K., Jung, I. K., Jung, K. S., Lee, J. H., Kang, B.

S., Yoon, C. J. and Kim, S. J. (2010). “Modeling downstream flood damage prediction followed by dam-break of small agricultural reservoir.” Journal of Korean Society of Agricultural Engineers, Vol. 52, No. 6, pp. 63-73 (in Korean).

Sugawara, M. (1984). Tank model with snow component, National Research Center for Disaster Prevention, Research Notes No. 65, Japan.

수치

Fig. 1. Distribution of the heightened agricultural reservoirs used 1. ᕽುᬑญӹ௝ᬊᙹᔍᬊ᮹48%ෝ₉ḡ⦹Łᯩ۵׮ᨦᬊᙹ۵ᱡᙹḡ᪡᧲ᙹᰆ, ᅕ॒ᮥᯕᬊ⦹ᩍ׮ĞḡᨱᬊᙹෝŖɪ⦹Łᯩ݅
Table 1. Physical characteristics of heightened agricultural reservoirs Basin Reservoir Watershed area,
Fig. 2. Schematic outline of the study design. }ʑ᮹ḲᵲᱢᯕŁ⬉ᮉᱢᯙ⦹⃽ᮁḡᬊᙹ᮹ႊඹෝࠥ༉⦹Ł ᯱ ⦹ᩡ݅. ᯕෝ᭥⧕, ŝÑᙹᝎ֥e᮹ʑᔢᯱഭෝᯕᬊ⦹ᩍᱡᙹḡྜྷᙹḡᇥᕾᮥ☖⧕⦹⃽ᮁḡᬊᙹŖɪa܆పᮥᔑᱶ⦹ᩡ݅
Table 3. Results of the cluster analysis for the heightened agricultural reservoirs
+6

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