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Development of Drought Vulnerability Index Using Delphi Method Considering Climate Change and Trend Analysis in Nakdong River Basin

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** ǎၝݡ⦺Ʊ Õᖅ᜽ᜅ▽Ŗ⦺ᇡ ᕾᔍŝᱶ, Ŗ⦺ᔍ ([email protected]) Received March 25, 2013/ revised May 1, 2013/ accepted July 3, 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͵͵Ǥ͸ǤʹʹͶͷ ™™™Ǥ•…‡Œ‘—”ƒŽǤ‘”Ǥ”

ᙗᦗᇓ#Ⳟ⮫ⴖ#Ꮾ㲂≾㰒Ἲ#ኞᷢ㬚#ቻ㭣⛯#⍂⛛ኺ#Delphi Ꮾ≓ⴂ#ⴲⱧ㬚#

ᆾℂ#㎦⬻⛯#⽾⟖#ᇚ⇚

ઑ୨জ ȵ׌ଵฅ

Yang, Jeong-Seok*, Kim, Il-Hwan**

Development of Drought Vulnerability Index Using Delphi Method Considering Climate Change and Trend Analysis in Nakdong River Basin

ABSTRACT

A vulnerability index was developed for drought by using trend analysis and Delphi method. Twelve indicators were selected based on three groups, i.e., hydrological, meteorological, and humanistic groups. Data were collected from Nakdong river watershed. Three trend tests, i.e., Mann-Kendall, Hotelling-Pabst, and Sen’s trend tests, were performed for standardizing the indicators and Delphi method was used to estimate the weights for individual indicators. The drought vulnerability index was calculated for seven regions in the Nakdong watershed and Hapcheon turned out to be the most vulnerable region among the study regions. The drought vulnerability index developed in this study can be applied to other regions in Korea for establishing national water resources management plan.

Key words : Climate change, Drought, Trend test, Delphi method, Vulnerability index

Ⅹಾ

ʑ⬥ᄡ⪵ಽᯙ⦽ᯕᔢʑ⬥⩥ᔢᵲaྥᨱݡ⦽≉᧞ᖒḡᙹෝᯱഭ᮹Ğ⨆ᖒᇥᕾŝDelphi ʑჶᮥᯕᬊ⦹ᩍ}ၽ⦹ᩡ݅. Ӻ࠺vᮁᩎᯱഭ

ෝᯕᬊ⦹ᩍᙹྙ⦺ᱢ, vᬑᔍᔢᱢ, ᯙྙ⦺ᱢᯱഭෝၵ┶ᮝಽⅾ12}᮹ḡ⢽ෝᖁᱶ⦹ᩡ݅. ᖁᱶࡽḡ⢽ෝMann-Kendall trend test, Hotelling-Pabst trend test, Sen’s trend test ॒3aḡĞ⨆ᖒáᱶᮥ☖⧕⢽ᵡ⪵⦹Ł, ߙ❭ᯕʑჶᮥ☖⧕ǎԕ᮹ᙹᯱᬱᱥྙaॅ᮹᮹čᮥ

ၹᩢ⦹ᩍbḡ⢽ᨱaᵲ⊹ෝᇡᩍ⦹ᩡ݅. ↽᳦ᱢᮝಽᔑ⇽ࡽaྥᨱݡ⦽≉᧞ᖒḡᙹᨱᕽӺ࠺vᮁᩎᵲᨱᕽ⧊⃽ᵝᄡḡᩎᯕaྥᨱaᰆ

≉᧞⦹݅۵đŝaӹ᪵݅. ᯕ≉᧞ᖒḡᙹ}ၽᮥ☖⧕ᬑญӹ௝ᱥḡᩎᨱᱢᬊ⦹íࡹ໕⨆⬥ᙹᯱᬱᱶ₦ᙹพᨱᯩᨕᕽฯᮡࠥᬡᯕࢁäᯕ

௝ᔍഭࡽ݅.

áᔪᨕ ʑ⬥ᄡ⪵, aྥ, Ğ⨆ᖒáᱶ, ߙ❭ᯕʑჶ, ≉᧞ᖒḡᙹ

1. ᕽು

ᙹᯱᬱᱶ₦ᮥᙹพ⦹۵ߑᯩᨕᕽᮁᩎ᮹ᙹప, ᙹḩ, vᙹప॒ŝzᮡᯝ₉ᱢᯙḡ⢽อᮝಽ⠪a⦹ᩍᮁᩎšญෝ⦹ʑᨱ۵ฯᮡ

ᨕಅᬡᯕ ঑ෙ݅. ᮁᩎ ᜽ᜅ▽ᮥ Ǎᖒ⦹۵ ᫵ᗭॅᮥ ᳦⧊ᱢᮝಽ ⠪a⧁ ᙹ ᯩ۵ ☖⧊ḡᙹ᪡ ݅᧲⦽ ḡ⢽ॅᯕ ⦥᫵⦹݅(Kang et al.,

ƒ–‡”‰‹‡‡”‹‰ սėॡ

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Table 1. Study Area and Gauge Station

No. Groundwater Gauge Station River Level Gauge Station Rainfall Gauge Station Administrative Area

1 Sangju-Seomun Sabeol Sabeol Sangju

2 Daegu-Bisan Hwawon Sungju Daegu

3 Daegu-Hyunpung Goryeonggyo Goryeonggyo Daegu

4 Hapcheon-Jeogjung Jukgo Jukgo Changnyung, Hapcheon

2008). ᮁᩎ᮹ ᯱᩑᰍ⧕ ॒ᨱ ݡ᮲⦹۵ ܆ಆᮥ ⠪a⦹۵ äᮡ

≉᧞ᖒᯕ௝۵ ัಽ ᱶ᮹ࡹ۵ߑ, ≉᧞ᖒᯕ௡ ᯝၹᱢᮝಽ ᰍ⧕ಽ

ᯙ⧕ၽᔾ⧁ḡ༉෕۵ᰁᰍᱢ⦝⧕పᮥ᮹ၙ⦽݅. IPCC(2007)ᨱ ᕽ۵≉᧞ᖒᮥʑ⬥ᄡ⪵ᩩ⊂᜽ӹญ᪅ᨱ঑ෙၝqࠥ, ᱢ᮲܆ಆ

॒ᨱ ݡ⦽ ⧉ᙹšĥෝ ☖⧕ ᱶ᮹⦹ᩡ݅. ⩥ᰍ ǎᱽᱢᮝಽ ձญ

ᔍᬊࡹŁᯩ۵ᙹᯱᬱᇥ᧝᮹≉᧞ᖒḡᙹಽ۵WPI (Water Poverty Index), SWSI (Social Water Stress Index) ॒ᯕᯩ݅(Sullivan, 2002). ǎԕᨱᕽ۵ ᮁᩎ᮹ ᱶ₦ ᙹพ ၰ đᱶᮥ ⦹ʑ ᭥⧕ Yu and Kim (2008)ᨱ᮹⧕Ğʑࠥḡᩎ᮹ʑ⬥ᄡ⪵ᨱݡ⦽ᔢݡᱢ

≉᧞ᖒᮥ⠪a⦹ᩡ݅. Son et al.(2011)ᮡDPSIR }ֱᮥᯕᬊ⦽

ʑ⬥ᄡ⪵ෝŁಅ⦽⪮ᙹ≉᧞ᖒḡᙹෝᇢ⦽vᮁᩎᨱᱢᬊ⦹ᩡ݅.

ʑ⬥ᄡ⪵۵ə᭥⨹ᖒᯕԁಽᝍb⧕ḡŁᯩ۵aᬕߑIPCC ᱽ4₉ᅕŁᕽᨱᕽ۵⪵ᕾᩑഭ᮹ᔍᬊపᯕ⩥ᰍ⇵ᖙෝᮁḡ⦽

₥᷾a⦽݅໕, 21ᖙʑัḡǍ᮹⠪Ɂʑ᪉ᮡ᧞6ⳃᔢ᜚⦹Ł,

⧕ᙹ໕ᮡ 59cm ᔢ᜚⧁ äᯕ௝Ł ⦹ᩡ݅. ʑ⬥⦺ᯱॅᨱ ᮹⦹໕

ᩩ⊂ࡽḡǍʑ᪉᮹᷾aၰᙹྙᙽ⪹᮹ɚ⦽⩥ᔢ᮹ၽᔾኩࠥa

׳ᦥḡŁvࠥa޵v⧕ḩäᯕ௝ᅕᦹ݅(Hisdal et al., 2001).

ᯕᵲaྥᮡ٥ᱢࡽʑ⬥⩥ᔢᮝಽᇡ░ၽᔾ⦹۵ɚ⦽ʑ⬥ᰍ⧕

ᵲ⦹ӹ௝Łᱶ᮹⦹ᩡ݅(Oliver, 2005). ↽ɝ50֥eᬑญӹ௝᮹

vᙹపᇥᕾđŝྕvᬑᯝᙹa᷾a⦹໑80mm ᯕᔢvᬑᯝᙹੱ⦽

᷾a⦹۵Ğ⨆ᮥᅕᯕŁᯩ݅(National Institute of Meteorological Research, 2004). ʑ⬥ᄡ⪵᮹ᩢ⨆ᮝಽvᬑၽᔾᯝᙹ᮹qᗭ, ᩑv ᙹప᮹ ᷾a, vᬑvࠥ ᷾a⩥ᔢᯕ ӹ┡ԉᮥ ᩩᔢ⧁ ᙹ ᯩᮝ໑

bb⪮ᙹ᪡aྥ᮹ၽᔾa܆ᖒᮥ᷾a᜽┉݅Ł❱݉ࡽ݅(Bae et al., 2008).

ᅙᩑǍ۵Yang et al.(2012)ᯕၽ⢽⦽“Ğ⨆ᖒᇥᕾᮥ☖⦽

aྥ≉᧞ᖒḡᙹ᮹}ၽ”᮹⬥ᗮᩑǍಽʑ᳕᮹ᩑǍᨱᕽ۵aྥᨱ

ᩢ⨆ᮥᵝ۵10}᮹ḡ⢽ෝᖁᱶ⦹Łbḡ⢽᮹ᩑᯱഭෝᙹḲ⦹ᩍ

ᯕෝᖙaḡĞ⨆ᖒáᱶᮥ☖⧕≉᧞ᖒḡᙹෝᔑᱶ⦹ᩡ݅. ᯕ۵

bb᮹ḡ⢽ᨱݡ⧕ᕽᯱഭ᮹Ğ⨆ᖒอᮥ☖⧕bḡ⢽aaྥᨱ

ᩢ⨆ಆᮥእƱ⦹ḡᦫŁᯱഭᨱݡ⧕ᕽᇥᕾᮥ⦹ᩍ≉᧞ᖒḡᙹ᮹

~šᖒᯕਉᨕḡ۵đŝ௝Ł⧁ᙹᯩ݅. ᯕᨱ~šᖒᮥ⪶ᅕ⦹Ł

ᝁ഑ࠥෝ׳ᯕʑ᭥⦽ႊჶᮝಽߙ❭ᯕႊჶᮥᱢᬊ⦹ᩡ݅. Ӻ࠺v

ᮁᩎᮥݡᔢᮝಽ22}ḡ⢽ᨱݡ⦽ᯱഭෝᙹḲ⦹Łߙ❭ᯕႊჶ᮹

ᖅྙᵲ}ႊ⩶ḩྙᮥ☖⧕ḡ⢽ෝᖁᱶ⦹ᩡ݅. ʑ᳕᮹ᩑǍᨱᕽ

}ၽࡽᖙaḡᙹྙ, vᬑᔍᔢ, ᯙྙᇥ᧝ᨱݡ⦽}ֱᮥ᯦ࠥ⦹Ł

aᵲ⊹ෝᇥ᧝ᄥḡ⢽ᄥಽbbᔑᱶ⦹ᩡ݅. ᯕෝᖁᱶࡽḡ⢽ᨱ

ᱢᬊ⦹ᩍ Ӻ࠺v ᮁᩎ᮹ ↽᳦ᱢᯙ aྥᨱ ݡ⦽ ≉᧞ᖒ ḡᙹෝ

ᔑᱶ⦹ᩡ݅. aྥᨱݡ⧕ᕽĞ⨆ᖒáᱶᮥ☖⧕ʑ⬥ᄡ⪵, ࠥ᜽⪵, ᅖḡᙹᵡ᮹᷾a॒ᨱݡ⧕ᕽŁಅ⦹ᩡŁ, ᱥྙaॅ᮹ᖅྙᮥ☖⧕

aᵲ⊹ෝᱢᬊ⦹ᩍᅕ݅~šᱢᯕŁᝁ഑ᖒᯩ۵ḡᙹෝ}ၽ⦹ᩡ

݅Ł ❱݉ࡽ݅.

2. ᩑǍႊჶ

2.1 ஺ඝট୨

ᅙᩑǍᨱᕽ۵3aḡ⊂໕ᮝಽӹ٥ᨕḡ⢽ॅᮥᇥඹ⦹ᩡ݅.

ⅾ22}᮹ḡ⢽ॅᮥᙹྙ⦺ᱢ, vᬑᔍᔢᱢ, ᯙྙ⦺ᱢḡ⢽ಽӹ٥ ᨩ݅. ᯕ۵≉᧞ᖒḡᙹෝᔑᱶ⦹۵ߑၝqࠥ᪡ᱢ᮲܆ಆᮥŁಅ⧕

᧝ ⦹۵ߑ ᙹྙ⦺ᱢ ᇥ᧝᪡ vᬑ ᔍᔢᱢ ᇥ᧝۵ ᯕ ᵲ aྥᨱ

ݡ⦽ၝqࠥಽᇥඹ⧁ᙹᯩŁ, ᯙྙ⦺ᱢᇥ᧝۵ᱢ᮲܆ಆᨱ⧕ݚ⦽

݅. ၝqࠥᨱ ⧕ݚ⦹۵ ᙹྙ⦺ᱢ ᇥ᧝۵ ᙹྙᇥ᧝ ᵲ ḡ⢽ᙹ᪡

ḡ⦹ᙹᨱݡ⦽ᇥ᧝ಽǍᖒࡹᨕᯩŁ, vᬑᔍᔢᱢᇥ᧝۵aྥᨱ

ᩢ⨆ᮥᵝ۵vᬑ᮹ᮁ⩶ᨱ঑ෙḡ⢽a⡍⧉ࡹᨕᯩ۵ᇥ᧝ᯕ݅.

3aḡ ᇥ᧝ ၰ bbᨱ ݡ⦽ ḡ⢽۵ Table 1ᨱ ᱶญࡹᨕᯩ݅.

2.1.1 ৤ࢂ෈ୡ஺ඝ 2.1.1.1 ஺෇৤଍

ḡ⦹ᙹ᭥۵ ᮁᩎ᮹ ᙹᯱᬱ ᇡ᳕పᮥ a܁⧁ ᙹ ᯩ۵ ⃺ࠥa

ࢁᙹᯩŁḡ⦹ᙹ᭥᮹⦹vᮡ⦹⃽᮹Õ⃽⪵, ḡၹ⋉⦹, ⧕ᦩḡႊ᮹

ᩝᙹ⋉᯦॒ᩍ్ྙᱽॅᮥ᧝a⦹íࡽ݅. ᬑญӹ௝᮹Ğᬑḡ⦹ᙹ

ᔍᬊపᯕฯᮡᇡᇥᮥ₉ḡ⦹Łᯩᮝ໑, ⅾvᬑపᮡ᷾a⦹ӹvᬑ vࠥa ׳ᦥḡ۵ ⇵ᖙᨱ ᯩᨕ ḡ⦹ᙹ᭥۵ ⦹v⦹۵ ⇵ᖙᯕ݅.

2.1.1.2 ෇వ৤଍

⦹⃽ᙹ᭥۵ᵝࡽᬊᙹᬱᮝಽaྥᨱḢᱲᱢᯙᩢ⨆ᮥၙ⊹۵

ḡ⢽ᵲ⦹ӹᯕ݅. ⦹⃽ᙹ᭥a⦹v⧁Ğᬑᵝᄡḡᩎ᮹ᔾ⪽, Ŗᨦ,

׮ᨦ॒ᨱᯕᬊa܆⦽ᙹᯱᬱᯕəอⓝᱡ⦹⦽݅Łᅝᙹᯩ݅.

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2.1.2 Գ૴ॷঃୡ஺ඝ 2.1.2.1 ઴Գ৤߆

1֥eⅾvᙹపᮝಽᩑvᙹప᮹᷾aᮉᮡ׳ᦥḡŁ۵ᯩᮝӹ

ᔍᬊ⧁ᯙǍa᷾a⦹Łྕvᬑᯝᙹa᷾a⦹ᩍvᬑaḲᵲࡹᨕ

ᙹᯱᬱᮥ ⪶ᅕ⦹۵ߑ ฯᮡ ᨕಅᬡᯕ ᯩ݅.

2.1.2.2 ࡿԳ૴ଵ৤

ʑᔢℎ᮹vᬑš⊂ᗭᯝᄥš⊂ᯱഭෝᙹḲ⦹ᩍᮁ⬉vᬑపᯕ

0ᯙĞᬑෝ⡍⧉⦹ᩍྕvᬑᯝᙹෝᔑᱶ⦹ᩡ݅. ྕvᬑᯝᙹaฯᦥ ḩᙹಾ aྥᮥ ᮁၽ⧁ ᙹ ᯩ۵ ⪶ශᯕ ۹ᨕӽ݅Ł ❱݉ࡽ݅.

2.1.2.3 80mm/day ଲঃ઴Գ૴ଵ৤

ᯝvᬑపᵲ80mm ᯕᔢᯝĞᬑ᮹vᬑᯝᙹෝᔑᱶ⦹ᩍvᬑa

Ḳᵲࡹ۵äᨱݡ⦽ḡ⢽ಽ❱݉⦹ᩡ݅. vᬑaḲᵲࡹ໕ᕽྕvᬑ ᯝᙹa ᷾a⦽݅໕ aྥᨱ ⓑ ᩢ⨆ᮥ ᵡ݅Ł ❱݉ࡽ݅.

2.1.2.4 Գ૴ඇఙଘ

ᩑvᙹప᮹ᬵᄥ↽ݡၽᔾእᮉŝ↽ᗭၽᔾእᮉ᮹₉ᯕෝ

ӹ┡ԕ۵äᮝಽ, ᬵᄥ↽ݡvᙹ⠙₉ෝᩑvᙹపᮝಽӹ٩sᮥ

Ǎ⦽݅. vᙹప᮹ᬵᄥᄡ࠺ᖒ᮹ᱶࠥෝӹ┡ԝᙹᯩ۵ḡ⢽ಽ

ᬵᄥ↽ݡvᙹ⠙₉۵ᬵᄥ↽ݡvᙹపŝ↽ᗭvᙹప᮹₉ᯕෝ

☖⧕ vᙹప᮹ᱩݡ sᮥ ☖⧕ᙹᯱᬱ šญ᮹ ӽᯕࠥෝ⇵ᱶ⧁

ᙹ ᯩ݅.

2.1.2.5 Գ૴ுணࠔ

1֥eᯝvᬑపᯕ80mmᯕᔢᯝĞᬑ᮹vᬑపᮥ⧊ᔑ⦹ᩍ, ᩑ vᙹపᮝಽӹ٩sᮥ᮹ၙ⦽݅. vᬑపᮥ☖⧕vᬑvࠥෝ❱݉⧁

ᙹ ᯩ۵ ʑᵡᯕ ࡽ݅Ł ❱݉ࡽ݅. aྥᯕ ᝍ⦽ ᩑࠥ᮹ Ğᬑ ᯝ

vᬑపᯕ80mm ᯕᔢᯙvᬑపᯕᱥྕ⧁ᙹᯩḡอ, ⠪Ɂᱢᮝಽ

ᩑvᬑప ᵲ 16~20%᮹ እᮉᮥ ₉ḡ⦽݅.

2.1.3 ଴ࢂ෈ୡ஺ඝ 2.1.3.1 1଴ۥԧ૳৤ୀ଀

ḡᩎᄥᩑvᙹపᮥḡᩎᯙǍಽӹ٩äᮝಽ, ᙹᬊݡእaᬊᙹప

ᮡaᰆḢᱲᱢᮝಽ❱݉⧁ᙹᯩᮝӹ, ᬊᙹŖɪ⩥⫊ᮥŁಅ⦹ḡ

༜⦽݅໕ ⩥ᝅᱢᯙ ྜྷᙹḡ ᔢ⫊ŝ Ñญa ᯩᮥ ᙹ ᯩ݅.

2.1.3.2 ৤ୀ଀ऀ୼߆

ḡᩎᄥᩑvᙹపᮥḡᩎ໕ᱢᮥŒ⦽sᮝಽᝅḩᱢᯙḡᩎ᮹

ᙹᯱᬱᨱݡ⦽sᯕ௝Łᅝᙹᯩ݅. ᙹᯱᬱᇡ᳕పᮡ1ᯙݚaᬊ

ᙹᯱᬱŝ ᵲᅖࡹ۵ ᖒ⨆ᮥ ᅝ ᙹ ᯩḡอ ᯕ۵ b ḡᩎᨱ ݡ⦽

ᱩݡᱢᯙ ᙹᯱᬱᨱ ݡ⧕ᕽอ Łಅෝ ⦹Ł ᯩ۵ sᯕ݅.

2.1.3.3 ஺લ࣢૳৤ଲ૳߆

ḡᩎᄥಽᔾ⪽ᬊᙹ, Ŗᨦᬊᙹ, ׮ᨦᬊᙹᨱᯕᬊࡹ۵ᙹᯱᬱᨱ

ݡ⦽ sᯕ݅. ḡᩎᄥಽ Ŗɪࡹ۵ ᙹᯱᬱᨱ እ⧕ ᔍᬊࡹ۵ ᧲ᯕ

۹ᨕԁᙹಾ aྥᨱ ݡ⦽ ≉᧞ᖒᮥ ӹ┡ԙ݅Ł ❱݉ࡽ݅.

2.1.3.4 ঃ, ෇৤ׂܑ࣪ࠔ

ᙹᯱᬱᮥ⪽ᬊ⦹۵ḡᩎ᮹ᅖḡᙹᵡᮥa܁⧁ᙹᯩ۵⃺ࠥಽ

ᅕɪᯕ׳ᮡḡᩎᯝᙹಾaྥᨱݡ⦽ݡእaࡹᨕᯩ݅Ł❱݉⧁

ᙹ ᯩ݅. ᔢ, ⦹ᙹࠥ ☖ĥᩑᅕෝ ☖⧕ ᙹḲ⦹ᩡ݅.

2.1.3.5 ঃ, ෇৤ܑ૬ׁգఙ஺ඝ

ᙹᯱᬱᨱݡ⦽᫵ɩᮥᙹḲ⦹ᩍḡᩎᄥಽእƱ⦽ḡ⢽ಽᙹᯱᬱ

Ŗɪᯕᬱ⪽⦹Ł ⃹ญ⧁ ᙹᯩ۵ ᜽ᖅᯕ ⪶∊ᯕࡽ ḡᩎᯝᙹಾ

ԏᮡ sᮥ ӹ┡ԙ݅. ᔑᱶ⦹۵ ႊჶᮡ ݅ᮭŝ z݅.

᫵ɩĊ₉ḡ⢽ = 1 - ḡᩎ᫵ɩ - ↽ᱡ᫵ɩ

↽Ł᫵ɩ - ↽ᱡ᫵ɩ (1)

2.1.3.6 ࢄଲ૳վඌন

ྜྷᯕᬊᨱݡ⦽ᱲɝ᮹Ŗ⠪ᖒᮥӹ┡ԕ۵ḡ⢽ಽ⦥᫵⦽ᯱഭಽ ۵ᔢ, ⦹ᙹࠥᅕɪශ, ḡᩎ᫵ɩ, ↽Łၰ↽ᱡ᫵ɩᯕŁಅࡽ݅.

ᔑᱶ⦹۵ ႊჶᮡ ݅ᮭŝ z݅(Dong et al., 2009).

¢žƏƓƇƒƗá ćÐ

¢ƕſƒƃƐ⢬ƃƕƃƐâ¢ƎƐƇƁƃ

Z Î××ÞÜß (2)

¢žƏƓƇƒƗ = ྜྷᯕᬊŖ⠪ᖒ

¢°ſƒƃƐ = ᔢᙹࠥᅕɩශ(%)

¢¬ƃƕƃƐ = ⦹ᙹࠥᅕɩශ(%)

¢w™ƇƁƃ = ᔢ⦹ᙹࠥ ᫵ɩŖ⠪ᖒ

= ãķ âÞÎ àķßĸäZ Î××ÞÜß ķ(↽ᱡ᫵ɩᙹᵡ) = ↽ᱡ᫵ɩ↽Ł᫵ɩ

ĸ(᫵ɩĊ₉ḡ⢽) = 1 - ḡᩎ᫵ɩ - ↽ᱡ᫵ɩ

↽Ł᫵ɩ - ↽ᱡ᫵ɩ

2.1.3.7 ࢄ୍୨Սୢন

ྜྷ ᰍᱶ Õᱥᖒᮡ ྜྷᯕᬊ እᬊ ᵲ ྜྷ šಉ ᇡݕɩ ⪚ᮡ ྜྷ

s॒ᮝಽ∊ݚ⦹۵እᮉᮥั⦽݅. ⦥᫵⦽ᯱഭ۵ᔢᙹࠥᯱᅙᙹ᯦, ᔢ, ⦹ᙹࠥ ᖙ᯦, ⦹ᙹࠥ ᔍᬊഭ, ᬱᯙᯱ ᇡݕɩ॒ᮥ ⡍⧉⦽݅.

ᔑᱶ⦹۵ ႊჶᮡ ݅ᮭŝ z݅.

(4)

ྜྷᰍᱶÕᱥᖒ =

ᔢᙹࠥᯱᅙᙹ᯦+⦹ᙹࠥᔍᬊഭ+ᬱᯙᯱᇡݕɩ

×100(%)

ᔢᙹࠥᖙ᯦+⦹ᙹࠥᖙ᯦ (3)

2.1.3.8 ࢄୀׂࠔ

ḡᩎᨱᕽᔾᔑࡹ۵ᬊᙹಽḡᩎᨱᕽᔍᬊ⦹۵ᬊᙹෝḢᱲŖɪ

⧁ᙹᯩ۵ḡᨱݡ⦽ḡ⢽ಽᬊᙹᯕᬊపŝŲᩎᔢᙹࠥᯕᬊపᯕ

⡍⧉ࡹᨕᯩ݅. ྜྷᯱɪශᯕ׳ᮥᙹಾḡᩎ᮹aྥᮥ⧕ᗭ⦹۵ߑ

܆࠺ᱢᮝಽݡ⃹⧁ᙹᯩ݅. ྜྷᯱɪශᮥᔑᱶ⦹۵ႊჶᮡ݅ᮭŝ

z݅.

ྜྷ ᯱɪශ = ᬊᙹᯕᬊప - Ųᩎᔢᙹࠥ Ŗɪప

ᬊᙹᯕᬊప (4)

2.1.3.9 ౫৤ଘ

ᬊᙹᯕᬊపᵲ⦹⃽ၰḡ⦹ᙹᨱᕽḢᱲŖɪ⦹۵᧲ᮥӹ┡ԕ໑

≉ᙹᮉᯕ׳ᮥᙹಾᙹᯱᬱ᮹⬉ᮉᱢᯙᯕᬊᮥ⦹ḡ༜⦹۵ḡᩎᮝ ಽᇥඹࡹ໑əḡᩎ᮹ᅖḡᙹᵡᮥa܁⧁ᙹᯩ۵⃺ࠥaࡽ݅Ł

❱݉ࡽ݅.

2.2 णࡦ৤ୡլේনՑ୨ଡധ෉ඝஜฃ

bbᖁ┾ࡽḡ⢽ॅ᮹Ğᬑbḡ⢽ᄥಽ⠙₉aᝍ⦹ᩍaᵲ⊹ෝ

ᇡᩍ⦹ʑᱥᨱᯕᨱݡ⦽᳑ᱶᯕ⦥᫵⦹݅. ᯕෝ᭥⧕bḡ⢽ᄥಽ

⢽ᵡ⪵ෝ ᝅ᜽⦽݅. ⢽ᵡ⪵᮹ ႊჶᨱ۵ ᙽ᭥ ๅʑʑ, Z-ᜅ⎵ᨕ, ᜅ⍡ᯝ ᰍ᳑ᱶ॒ᯕ ᯩ۵ߑ ᙽ᭥ๅʑʑ᮹ Ğᬑ aᰆ݉ᙽ⦹Ł

e݉⦽ ႊჶᯕ௝⧁ ᙹ ᯩḡอaᵲ⊹ෝ ᇡᩍ⧁ Ğᬑɚsᮝಽ

⊹ݍᮥᙹᯩᨕᱢ⧊⦹ḡ༜⦹݅. Z-ᜅ⎵ᨕႊჶ᮹Ğᬑ⢽ᵡ⪵

ႊჶᮝಽ aᰆ ᅕ⠙ᱢᮝಽ ᔍᬊࡹŁ ᯩḡอ b ǎaᄥ ḡ⢽ᨱ

ݡ⦽ᯱഭaᱶȽᇥ⡍ෝӹ┡ԙ݅Ł⧩ᮥভᝁ഑ࠥa׳ᮡႊჶᯕ ʑᨱᇡᱢ⧊⦹݅Ł❱݉⦹ᩡ݅(Yu and Kim, 2008). ᜅ⍡ᯝᰍ᳑

ᱶႊჶᮡ⢽ᵡ⠙₉ᅕ݅ḡ⢽᮹ჵ᭥ᨱʑၹᮥࢱᨕ༉ुᯱഭa

࠺ᯝ⦽ ჵ᭥ෝ wࠥಾ ⦹۵ äᯕ݅.

ᅙᩑǍᨱᕽ۵ḡᙹᔑᱶᮥ᭥⧕ᕽš⊂ᯱഭ᮹Ğ⨆ᖒᇥᕾᮥ

☖⧕ bḡ⢽ॅᮥ ⢽ᵡ⪵ ᜽┅۵ߑᯱഭ᮹ ʙᯕa ṈŁᯱഭ᮹

⠙₉a⍅እ༉ᙹᱢĞ⨆ᖒáᱶᮥ☖⧕ʑᬙʑ᪡Ğ⨆ᖒᮁྕෝ

☖⧕ ḡᙹෝ ᔑᱶ⦹ᩡ݅. ᩑ ᯱഭ ᇥᕾ ᜽ t-Test, Spearman’s Rho Test, Hotelling - Pabst Test, Mann - Kendall Test Sen’s Test ॒ᯕ ᯩ݅. ᯕ ᵲ ᅙ ᩑǍᨱᕽ۵ Mann - Kendall Test, Hotelling - Pabst Test, Sen’s Testෝ☖⧕Ğ⨆ᖒᮁྕෝ❱݉⦹Ł

ᖙaḡႊჶ᮹Ğ⨆ᖒáᱶᨱᕽ༉ࢱĞ⨆ᖒᯕӹ┡ӹ໕ᝁ഑ᖒᮥ

ӹ┡ԙ݅Ł ❱݉⦹ᩍ ᱩݡᱢᮝಽ 3ᱱᮥ ᔑᱶ⦹Ł b ḡ⢽ᄥಽ

ʑᬙʑෝ ☖⧕ +, -ෝ ❱݉⦹ᩡ݅.

2.2.1 Mann-Kendall Test

Mann-Kendall Test (Mann, 1945)۵᜽ĥᩕᯱഭᨱᕽĞ⨆ᖒ ᮹ᩍᇡอᮥ❱݉⦹ʑ᭥⦽áᱶᮝಽእ༉ᙹᱢᯙ☖ĥʑჶᮥ⪽ᬊ

⦹ᩍᯱഭ᮹݉᳑Ğ⨆ᮥᇥᕾ⦹۵ߑᙹᯱᬱᇥ᧝ᨱᕽձญᔍᬊࡹ

Łᯩ݅(Lee et al, 2010). ᯱഭ᮹ᙹaƌᯙᯱഭĥᩕƖᨱᕽ݅ᮭŝ

zᮡ Sෝ ݅ᮭŝ zᯕ ☖ĥపᮝಽ ᱶ᮹⧁ ᙹ ᯩ݅.

¬ áƇ á Îƌ àÎ

ā

ƈ á Ƈ âÎ

ā

ƌ ƑƅƌÞƖƈà ƖƇß (5)

ᩍʑᨱᕽ nᮡ š⊂s᮹ ᙹᯕ໑Ɩƈ᪡ƖƇ۵ b š⊂᜽ᱱƈ᪡

Ƈᨱᕽ᮹š⊂sᯕ݅. əญŁbš⊂sᮥᝮᮝಽእƱ⦹۵ႊჶᮝ ಽ᷾a(1), qᗭ(-), ᔢ॒(0)᮹sᮥᯕᬊ⧁ᙹᯩᮝ໑, ᨕਅ᜽ᱱᮥ

ƇÞÎ = Ƈ = ƌßಽ⦹ᩡᮥভš⊂sƖƇ۵N}᮹Ɩƈà ƖƇÞƈ ð Ƈß

₉ᇥ ᝮᮥ อॅŁ ᯕ₉ᇥ᮹ ᇡ⪙ෝ ĥᔑ⦹í ࡹ໕ ☖ĥప S۵

ɝᔍᱢᮝಽ⠪Ɂł á ×ᯕŁᇥᔑňÏ۵݅ᮭŝzᯕ⢽᜽ࡹ۵ᱶȽ ᇥ⡍ෝ ঑ෙ݅.

ňÏá ćÎÕÎ ãƌÞƌàÎßÞÏƌâÒßà

ā

Ƈ á Îƅ ƒƇÞƒƇà ÎßÞσƇâÒßä (6)

ᩍʑᕽƅ۵࠺ᱱ⃹ญᨱ⦥᫵⦽࠺ᱱə൚᮹ᙹᯕ໑,ƒƇ۵Ƈჩṙ

࠺ᱱə൚᮹ᯱഭᙹᯕ݅. ☖ĥప¬aᱶȽᇥ⡍ෝ঑෕အಽ݅ᮭŝ

zᯕ ⢽ᵡᱶȽᄡప³ෝ ĥᔑ⧁ ᙹ ᯩ݅.

³ á Ē ē Ĕ

ĕ ĕ

ćö¬ à Î  ¬ ð×ćňÏ

×   ¬ á × ćöćňÏ

¬Î

  ¬ ï ×

(7)

ᯕ᪡zᯕĥᔑࡽ⢽ᵡᱶȽᄡప³a⢽ᵡᱶȽᇥ⡍᧲⊂áᱶ᮹

95% ᝁ഑ࠥ᮹⦽ĥsᯙ³ áX ÎíÖÓ ᔍᯕᨱॅ໕ᵝᨕḥᯱഭĥᩕ

ᮡ Ğ⨆ᮥ aḡḡ ᦫ۵ äᮝಽ ❱ᱶ⦽݅.

2.2.2 Hotelling-Pabst Test

Hotelling-Pabst Test (Conover, 1971)۵ ᯱഭ᮹ ᙹaƌᯙ

ᵝᨕḥᯱഭĥᩕ³ᨱᕽ᪅෥₉ᙽᮝಽᱶ಍⦹Ł, ᯱഭĥᩕ²ᨱݡ

⧕ᕽ᯲ᖒ⦽⬥݅ᮭŝzᮡ☖ĥప¬ෝ݅ᮭŝzᯕᱶ᮹⦽݅.

¬ á

ā

Ƈ á Îƌ ã«ÞƖƇß à ƇäÏ (8)

(5)

ᩍʑᕽ«ÞƖƇß۵ᯱഭĥᩕ±᮹ᙽ᭥݅. ᯕ᪡zᯕᱶ᮹ࡽ☖ĥప

ᮡɝᔍᱢᮝಽ⠪Ɂł᪡ᇥᔑňÏᯕ݅ᮭŝzᯕ⢽᜽ࡹ۵ᱶȽ

ᇥ⡍ෝ ঑ෙ݅.

ł á ćƌÞƌÏÓà Îß

(9)

ňÏáƙ

Ɯƚć

ÓöćƌÞà Îß ƌÞƌÏà Îß ƛ

Ɲƞ (10)

☖ĥప¬aᱶȽᇥ⡍ෝ঑෕အಽ݅ᮭŝzᯕ⢽ᵡᱶȽᄡప

³ᮥ Ǎ⦽݅.

³ á ć¡ à łň (11)

ᩍʑᕽĥᔑࡽ⢽ᵡᱶȽᄡప³a݅ᮭŝzᮡĞᬑĞ⨆ᖒᮡ

aḡḡ ᦫ۵ äᮝಽ ❱ᱶ⦽݅.

ç³ç = łÎàķîÏ (12)

ᩍʑᕽłÎàķîÏ۵⢽ᵡᱶȽᇥ⡍᮹Î à ſîÏᇥ᭥ᙹᨱ⧕ݚࡹ۵

sᯕ໑, ķ۵ ᮁ᮹ᙹᵡᯕ݅.

2.2.3 Sen’s Test

Sen’s Test (Salmi et al., 2002; Lee et al, 2006)۵ᯕᔢs, đ⊂s ॒ᯕᯩᮥ Ğᬑᨱࠥ Ğ⨆ᖒᮥ❱݉⧁ ᙹ ᯩ۵ႊჶᮝಽ

Sen᮹Ğ⨆ᖒ⇵ᱶᯱ(estimator)ෝǍ⦹ʑ᭥⧕ᕽʑᬙʑ⇵ᱶs (slope estimate)ᮥ ݅ᮭŝ zᮡ ႊჶᮝಽ Ǎ⦽݅.

(13)

ࠥ⇽ࡽªsᮥⓍʑᨱ঑௝ᔩಽӹᩕ⦽⬥ᵲᦺs(median)ᮥ

¬ á ćÏ

(15) ಽ Ǎ⦽݅.

aᖅáᱶᮥ⦹ʑ᭥⧕¬ᨱݡ⦽ᇥᔑsᯕ⦥᫵⦽ߑ, ᯲ᮡᙹ᮹

ᯱഭᨱᱢᬊ᜽┍ᙹᯩ۵Kendall (1975)᮹᜾ᮥᙹᱶ⦹ᩍ݅ᮭŝ

zᮡ ᇥᔑ ⇵ᱶsᮥ Ǎ⦹۵ ᜾ᮥ ᔍᬊ⦽݅.

ƔſƐÞ¬ß á ćÎÕÎ ãƌÞƌàÎßÞÏƌâÒßà

ā

Ǝ á ÎƏ ƒƎÞƒƎ àÎßÞσƎâÒßä

(16)

ᩍʑᕽƒƎ۵ᕽಽzᮡš⊂sᮥwÑӹqḡࡹḡᦫ۵(non- detect) š⊂s᮹ᙹෝஜ⦹໑,Ə۵ᯕ్⦽ᙹᯕ݅. ᯕॅsᮥᯕᬊ⦹

ᩍ ݅ᮭŝ zᮡ ᝁ഑ Ǎeᮥ Ǎ⧁ ᙹ ᯩ݅.

¦Îá ćÏ

(17)

¦Ïá ćÏ

(18)

³Îàſ۵ᱶȽᇥ⡍᮹ÞÎ àſßÎ××Ü ḡᱱᮝಽ, Ğ⨆ᖒᯕᨧ݅۵

ȡྕaᖅᨱݡ⦹ᩍ¦Îŝ¦Ïᨱ⧕ݚࡹ۵ªsᯕ0ᮥ⡍⧉⦹ḡ

ᦫᮝ໕ ȡྕaᖅᮡ ʑbࡹᨕ Ğ⨆ᖒᯕ ᯩ݅Ł ❱݉⧁ ᙹ ᯩ݅.

2.2.4 ஺ඝ࣢ඝஜฃ

ᙹྙ⦺ᱢ ḡ⢽۵ እ༉ᙹᱢ Ğ⨆ᖒ áᱶᮥ ☖⧕ ༉ࢱ ⦹v⧁

Ğᬑ3ᱱ, 2}᮹ᇥᕾႊჶᨱᕽ⦹v⧁Ğᬑ2ᱱ, 1}᮹áᱶᨱᕽอ

⦹v⧁Ğᬑ1ᱱ, ᮁ᮹⦹ḡᦫŁ⦹v⧁Ğᬑ0.5ᱱᮥᇡᩍ⧩݅.

vᬑᔍᔢᱢḡ⢽۵ᩑvᙹప᮹Ğᬑᙹྙ⦺ᱢḡ⢽᪡ษ₍aḡಽ

ྕvᬑᯝᙹ, 80mm/day ᯕᔢᩑvᬑప, vᬑ⠙₉ᮉ, vᬑḲᵲශᮡᔢ᜚

ᯙྙ⦺ᱢ ḡ⢽۵ 1ᯙݚ aᬊ ᙹᯱᬱప, ᙹᯱᬱ ᇡ᳕ప, ᔢ,

⦹ᙹࠥᅕɪශ, ྜྷᯕᬊŖ⠪ᖒ, ྜྷᰍᱶÕᱥᖒ, ྜྷᯱɪශ, ≉ᙹᮉ ᮹Ğᬑ3aḡእ༉ᙹᱢĞ⨆ᖒáᱶᨱᕽ༉ࢱ⦹v⧁Ğᬑ3ᱱᮥ,

ᮁ᮹⦹ḡ۵ᦫᮝӹᖁ⩶⫭ȡᇥᕾᨱᕽ⦹v⧁Ğᬑ0.5ᱱᮥᔑᱶ⦹

(6)

Table 2. Selected Indicators

Item Group Detailed Indicators

Drought Vulnerability

Hydrology

Annual Average Groundwater Level Annual Minimum Groundwater Level Annual Average River Level Annual Minimum River Level

Precipitation Pattern

Number of Non-Rainy Days Rainfall Concentration Ratio Rainfall Deviation

Humanity

The Amount of Water Available per Capita Water Usage Equity

Financial Soundness for Water Resources Local Water Independence Ratio Water Withdrawal Ratio

Fig. 1. Study Area ᯕᬊప, ᔢ, ⦹ᙹࠥ᫵ɩĊ₉ḡ⢽᮹Ğᬑᨱ۵ᔢ᜚⧁Ğᬑ3ᱱᨱᕽ

2.3 ܄൞ଲࢺ࣑ଡଲ૳෉ԧண౿ऀ઱

Delphi ʑჶᮡᱢᱩ⦽ᩩ⊂ႊჶᮥ₟ᮥᙹᨧᮥভᱥྙaॅ᮹

Ḣšᮥ࠺ᬱ⦹ᩍၙ௹ෝᩩ⊂⦹۵ႊჶᯕ݅. ᱥྙaॅ᮹ᯖ໦ᖒᮥ

☖⦽᮹čƱ⪹ᮥ☖⧕ᯝᱶ⦽ᵝᱽᨱݡ⧕ᕽၹᅖᱢᯙ⦝ऽ႒ᮥ

⦹ᩍᕽಽ᮹᮹čᮥᙹಕ⦹Ł⧊ᯝᱱᮥ₟۵ʑჶᮝಽᱥྙaॅ᮹

Ḳ݉ᱢᔍŁෝ☖⦽ၙ௹ᩩ⊂ႊჶᯕ݅. ⧕ᙹݕᙹ⪵ᇥ᧝᮹ᱥྙa

ෝᖁᱶ⦹Ł݅݉ĥᩑǍෝḥ⧪⦹۵ߑสݡ⦽᜽eᯕ⦥᫵⦹໑

ɚ݉ᱢ᮹čᮥ⃹ญ⦹۵ߑᨕಅᬡᯕᯩḡอྙᱽෝԪᱶ⦹Ł~š ᱢᮝಽá☁⧁ᙹᯩ݅۵ᰆᱱᯕᯩ݅(Lee, 2001). ᖅྙᮡₙᩍə൚

ᵲᗭᙹ᮹ɚ݉ᱢ᮹čᨱݡ⦽ᰍ᳑ᱶᮥŁಅ⦹Ł~šᱢᯙđುᮥ

ࠥ⇽⦹ʑ᭥⧕ⅾ3ჩ᮹ᖅྙᮥḥ⧪⦹ᩡᮝ໑b݉ĥᄥ⦝ऽ႒ᮥ

☖⧕᮹čᮥᙹಕ⦹ᩡ݅. 1₉ߙ❭ᯕᖅྙᮡ}ႊ⩶ḩྙᮥ☖⧕

ḡ⢽᮹ ᖁᱶᨱ ݡ⦽ ᮹čᮥ ᙹಕ⦹ᩡŁ, 2₉, 3₉ ᖅྙᮥ ☖⧕

ḡ⢽᮹aᵲ⊹ෝđᱶ⦹ᩡ݅. ⅾ22໦ᮥݡᔢᮝಽᖅྙᮥᝅ᜽⦹ᩡ

ᮝ໑ ᩍ్ ݡ⦺᮹ ᙹᯱᬱ ᇥ᧝ Ʊᙹ 6໦, ၶᔍ ŝᱶ 3໦, ᕾᔍ

ᙹഭ5໦, ᕾᔍŝᱶ2໦ᯕₙᩍ⦹ᩡ݅. ੱ⦽ᙹᯱᬱᝅྕෝݕݚ⦹

Łᯩ۵ʑᨦ᮹ݡญᯕᔢ3໦ᯕǍᖒࡹᨩŁ, ᙹᯱᬱšಉŖʑᨦᨱ ᕽ 3໦ᯕ ᖅྙᨱ ₙᩍ⦹ᩡ݅.

aᵲ⊹ ᔑᱶႊჶᮡ ݅ᮭŝ z݅.

² á

ā

Ƈ á Îƌ ķƇZ ĸƇZ ±Ƈ (19)

ķ = ᇥ᧝ᄥ aᵲ⊹

ĸ = ᯙᯱᄥ aᵲ⊹

± = ⢽ᵡ⪵⦽ ḡᙹ

² = ↽᳦ aྥ ≉᧞ᖒ ḡᙹ

⢽ᵡ⪵⦽ḡ⢽ᨱDelphi ʑჶᮥ☖⧕đᱶࡽaᵲ⊹ෝᇡᩍ⦽݅.

3. ᩑǍḡᩎ

ᩑǍ ḡᩎᮡ Ӻ࠺v ᮁᩎ ᵲ vᬑš⊂ᗭ, ⦹⃽ ၰ ḡ⦹ᙹ᭥

š⊂ᗭෝ ❭ᦦ⦹ᩍ š⊂ᗭe᮹ Ñญa 10km ᯕԕᯙ ḡᱱᮝಽ

ᖁᄥ⦹ᩡ݅. vᬑ᪡⦹⃽ᙹ᭥۵ǎaᙹᯱᬱšญ᳦⧊ᱶᅕ᜽ᜅ▽

(WAMIS)᮹š⊂ᯱഭෝ⪽ᬊ⦹ᩡᮝ໑, ḡ⦹ᙹ᭥۵ǎaḡ⦹ᙹš

⊂฾(GIMS)᮹š⊂ ᯱഭෝ ᯕᬊ⦹ᩡ݅. b š⊂ᯱഭ᮹ ʙᯕa

↽ᗭ 8֥ ᯕᔢᯕ໑ ᩑᗮࡽ đ⊂ᯝᯕ ↽ᰆ 10ᯝ ᯕ⦹ᯙ ḡᩎᮥ

ᖁᱶ⦹ᩡ݅. ⩥ᰍ ᩑǍ۵ 4ݡv ᔍᨦᱥ᮹ Ğ⨆ᖒᮥ ᇥᕾ⦹ᩡŁ

ᔍᨦ⬥᮹ ᯱഭ۵ ʙᯕaṈᦥ əᨱ ݡ⦽Ğ⨆ᖒᮥ ❱݉⦹ʑᨱ

ྕญaᯩᨕᔍᨦᱥ᮹ᯱഭᨱݡ⧕ᕽĞ⨆ᖒᮥᇥᕾ⦹ᩍḡᙹෝ

ᔑᱶ⦹ᩡ݅. ə đŝ Ǎၙ, ⋁ł, Ӻ݉ᮥ ᱽ᫙⦽ ⅾ 5} ḡᩎᮥ

ᖁᱶ⧁ᙹᯩᨩ݅. bᩑǍḡᱱᄥš⊂ᗭ໦ᮡ݅ᮭŝzᯕTable 2᪡ Fig. 1ᨱ ᱶญ⦹ᩡ݅.

4. ᩑǍđŝ

4.1 1ఙ܄൞ଲডࢂ୺ॷࠜധ෉஺ඝଭট୨

1₉ߙ❭ᯕᖅྙᮡ}ႊ⩶ḩྙᮝಽ22}᮹ḡ⢽ᨱݡ⦽᮹čᮥ

ᙹಕ⦹Łᇡᱢ⧊⦽ḡ⢽ॅᨱݡ⦽᮹čᮥ᳦⧊⦹Łᱥℕᱥྙa

Ḳ݉ᵲ80% ᯕᔢ᮹᮹čᯕᇡᱢ⧊⦹݅Ł❱݉⦹ᩡᮥভəḡ⢽ॅ

(7)

Table 3. Drought Vulnerability Index Before the Application of Delphi Method

Index Gangjeong Dalseong Sangju haman Hapcheon

Annual Average Groundwater Level 0.5 0.5 3 -0.5 3

Annual Minimum Groundwater Level -0.5 3 -0.5 -0.5 3

Annual Average River Level 0.5 3 3 3 3

Annual Minimum River Level 3 3 3 3 0.5

Number of Non-Rainy Days -0.5 -0.5 0.5 0.5 -0.5

Rainfall Concentration Ratio -0.5 -0.5 -0.5 -0.5 -0.5

Rainfall Deviation 0.5 0.5 3 0.5 3

The Amount of Water Available per Capita 3 0.5 0.5 0.5 0.5

Water Usage Equity -3 -3 -0.5 -3 -3

Financial Soundness for Water Resources -0.5 -0.5 -3 0.5 -0.5

Local Water Independence Ratio -0.5 -0.5 0.5 3 2

Water Withdrawal Ratio -0.5 -0.5 -3 -0.5 -1

Vulnerability index 1.5 5 6 6 9.5

Table 4. Indicator Through the Delphi Method the Weights for Results Item Group Weights for groups

Indicators Weight for indicators

Sum Weight Sum Weight

Drought Vulnerability

Hydrology

1

0.316

Annual Average Groundwater Level

1

0.256 Annual Minimum Groundwater Level 0.219 Annual Average River Level 0.354

Annual Minimum River Level 0.171

Precipitation

pattern 0.396

Number of Non-Rainy Days

1

0.305 Rainfall Concentration Ratio 0.392

Rainfall Deviation 0.303

Humanity 0.288

The Amount of Water Available per Capita

1

0.233

Water Usage Equity 0.226

Financial Soundness for Water Resources 0.162 Local Water Independence Ratio 0.226

Water Withdrawal Ratio 0.153

ᮡᱽ᫙⦹Ł↽᳦ᱢᮝಽaྥᨱᩢ⨆ᮥၙ⊹۵ḡ⢽ॅᮥᖁᱶ⦹ᩡ

݅. ᖁᱶࡽ ḡ⢽۵ ݅ᮭ᮹ Table 3ŝ z݅.

↽᳦ᱢᮝಽ ᖁᱶࡽ ḡ⢽۵ ⅾ 12}ಽ ᙹྙ⦺ᱢ ḡ⢽a 4}, vᬑᔍᔢᱢḡ⢽a3}, ᯙྙ⦺ᱢḡ⢽a5}ಽǍᖒࡹᨩ݅. ᙹྙ

⦺ᱢḡ⢽ᵲᱽ᫙ࡽäᮡᩑ↽ݡḡ⦹ᙹ᭥, ᩑ↽ݡ⦹⃽ᙹ᭥ಽ

aྥᨱၙ⊹۵ᩢ⨆ᯕၙၙ⦹ᩍᱽ᫙ࡹᨩ݅. vᬑᔍᔢᱢḡ⢽ᨱᕽ ۵ ᩑ vᙹప, 80mm/day ᯕᔢ ᩑ vᬑᯝᙹa ᱽ᫙ࡹᨩ݅. ᩑ

vᙹప᮹ Ğᬑ vᙹప᮹ ᷾aపᮥ ᔕ⠕ᅝ ᙹ ᯩ۵ ḡ⢽ᯕḡอ

aྥᨱၙ⊹۵ᩢ⨆ᮥၙ⊹ḡ۵༜⦹Łᖁᱶࡽḡ⢽ᵲvᬑḲᵲශ ᨱᕽ vᬑ vࠥᨱ ݡ⧕ᕽ Łಅ⧁ ᙹ ᯩᨕ aྥᨱ ޵ ⓑ ᩢ⨆ᮥ

ၙ⊽݅۵ᯕᮁಽᱽ᫙ࡹᨩ݅. 80mm/day ᯕᔢᩑvᬑᯝᙹੱ⦽

vᬑḲᵲශŝᵲᅖࡹ۵ᖒ⨆ᮥaḡ۵ḡ⢽ಽ↽᳦ᱢᯙḡ⢽ᨱᕽ ۵ᱽ᫙ࡹᨩ݅. ᯙྙ⦺ᱢḡ⢽ᨱᕽ۵ᙹᯱᬱᇡ᳕పᯕ1ᯙݚaᬊ

ᙹᯱᬱŝᵲᅖࡹ۵ᖒ⨆ᮥaᲙᱽ᫙ࡹᨩŁ, ḡᩎᄥᬊᙹᯕᬊపᮡ

ྜྷᯱɪශᨱ⡍⧉ࡹᨕᯩᨕᵲᅖࡹ໑ᬊᙹᯕᬊపอᮝಽ۵aྥᨱ

ᩢ⨆ᮥၙ⊹ḡᦫ۵݅۵ᯕᮁಽᱽ᫙ࡹᨩ݅. ᔢ, ⦹ᙹࠥᅕɪශŝ

ᔢ, ⦹ᙹࠥ᫵ɩĊ₉ḡ⢽۵ྜྷᯕᬊŖ⠪ᖒᮥ☖⧕༉ࢱŁಅ⧁

ᙹ ᯩ۵ ḡ⢽ಽ ᱶ᮹ࡹᨕ ↽᳦ᱢᯙ ḡ⢽ᨱᕽ ᱽ᫙ࡹᨩ݅.

4.2 լේনՑ୨ଡധ෉ඝஜฃ

↽᳦ᱢᮝಽᖁᱶࡽḡ⢽ॅ᮹ᯱഭෝMann-Kendall Test, Hotelling- Pabst Test, Sen’s Testෝ ☖⧕ Ğ⨆ᖒ ᮁྕᨱ ঑௝ ⢽ᵡ⪵ෝ

(8)

Fig. 2. Drought Vulnerability Index Before the Application of Delphi Method

Fig. 3. Delphi Chart for Groups

Fig. 4. Delphi Chart for Hydrology Indicators

Fig. 5. Delphi Chart for Precipitation Indicators

☖⧕݅ᮭŝzᮡđŝaӹ᪵݅. ᯱᖙ⦽ᔍ⧎ᮡTable 4᪡Fig. 2ᨱ

ᯱᖙ⯩ ӹ┡ԍ݅.

⢽ᵡ⪵᮹đŝෝᅕíࡹ໕⧊⃽ḡᩎᯕ9.5ಽaᰆ׳ᮡᱱᙹෝ

aḡíࡹᨩ݅. ⧊⃽ḡᩎᮡᩑ⠪Ɂ, ↽ᱡḡ⦹ᙹ᭥᪡ᩑ⠪Ɂ

⦹⃽ᙹ᭥aĞ⨆ᖒᮥaḡ໑⦹v⦹ŁᯩŁvᬑ⠙₉ᮉᯕ᷾a⦹

۵Ğ⨆ᖒᮥ஥ᨕ↽Łᱱᯙ3ᱱᮥၼíࡹᨩ݅. ྜྷᯕᬊŖ⠪ᖒŝ

≉ᙹᮉᨱᕽaྥ᮹᭥⨹ᖒᮥ⧕ᗭ⦹Łᯩḡอ݅ෙᇡᇥ᮹᭥⨹ᖒ

ᮥ⧕ᗭ⦹ʑᨱᇡ᳒⦽༉᜖ᮥᅕᯕŁᯩ݅. ᔢᵝ᪡⧉ᦩḡᩎᨱᕽ

6ᱱᮥӹ┡ԕ໕ᕽaྥᨱ≉᧞⦽ḡᩎᮝಽӹ┡ԍ݅. ᔢᵝḡᩎᮡ

ᙹྙ⦺ᱢḡ⢽ᯙᩑ⠪Ɂḡ⦹ᙹ᭥᪡ᩑ⠪Ɂ⦹⃽ᙹ᭥, ↽ᱡ⦹⃽ᙹ

᭥a⦹v⦹۵Ğ⨆ᖒᮥ஥໑ᮁ᮹⦹íӹ┡ӹᙹྙ⦺ᱢḡ⢽ᨱᕽ อ8.5ෝ₉ḡ⦹Łᯩ݅. ᙹྙ⦺ᱢšᱱᨱᕽ᮹šญႊᦩᯕ⦥᫵⦹

݅Ł ❱݉ࡽ݅. vᬑ ᔍᔢ ḡ⢽ᨱᕽࠥ vᬑ ⠙₉ᮉᯕ ᷾a⦹۵

Ğ⨆ᮥaḡ໑3ᱱᮥ⫮ा⦹íࡹᨕᙹᯱᬱšญᨱᨕಅᬕḡᩎᯕ௝

Ł❱݉ࡽ݅. ⧉ᦩḡᩎᮡᩑ⠪Ɂ⦹⃽ᙹ᭥᪡ᩑ↽ᱡ⦹⃽ᙹ᭥ᨱᕽ

⦹v⦹۵Ğ⨆ᮥ஥Łᯩᨕ3ᱱᮥӹ┡ԕŁᯩ݅. ੱ⦽ྜྷᯱɪශᨱ ᕽ ⦹v⦹۵ Ğ⨆ᮥ ᅕᯕ໑ aྥᮥ ⧕ᗭ⦹۵ߑ ฯᮡ ᨕಅᬡᯕ

ᯩᮥ äᮝಽ ᅕᩍ ḥ݅. ⢽ᵡ⪵ෝ ☖⧕ aᵲ⊹᮹ }ֱ ᨧᯕ b

zᮡᔑᱶđŝaӹ┡ӹíࡽ݅. aྥᨱᩢ⨆ᮥၙ⊹۵ᱶࠥa

z݅Ł ❱݉⧁ᙹ ᨧʑ ভྙᨱᯕᨱ ݡ⧕ᕽ aᵲ⊹ෝᔑᱶ⦹ᩍ

ᅕ݅ ᱶ⪶ᖒ ᯩ۵ đŝa ⦥᫵⦹݅.

4.3 ܄൞ଲࢺ࣑ଡധ෉ౖஂԧண౿ॺ୨էր

ߙ❭ᯕႊჶᮥᯕᬊ⦹ᩍᖅྙᮥ☖⧕ᔑᱶࡽaᵲ⊹đŝᯕ݅.

Fig. 3~6۵↽᳦ᖅྙᮥၵ┶ᮝಽอॅᨕḥߙ❭ᯕ₉✙ᯕ݅.

ߙ❭ᯕ ₉✙᮹Ğᬑ ⫭ᔪᮝಽ ӹ┡ӽสݡa ᵲe s᮹ᇥ⡍ෝ

ӹ┡ԕŁáᮡᔪᮝಽӹ┡ӽสݡaᔢ᭥25%᮹ᇥ⡍ෝӹ┡ԕŁ

ᯩ݅. ᧨ᮡสݡ᮹Ğᬑᵲesᨱᕽ↽ݴsŝ↽ᘀs᮹₉ᯕෝ

ӹ┡ԕᵝŁᯩ݅. ߙ❭ᯕᖅྙ᮹᮲ݖᮥၵ┶ᮝಽᯕෝࠥ᜽⪵⦽

(9)

Table 5. Drought Vulnerability Index

Index Gangjeong Dalseong Sangju haman Hapcheon

Annual Average Groundwater Level 0.013 0.013 0.081 -0.013 0.081

Annual Minimum Groundwater Level -0.012 0.069 -0.012 -0.012 0.069

Annual Average River Level 0.019 0.112 0.112 0.112 0.112

Annual Minimum River Level 0.054 0.054 0.054 0.054 0.009

Number of Non-Rainy Days -0.020 -0.020 0.020 0.020 -0.020

Rainfall Concentration Ratio -0.026 -0.026 -0.026 -0.026 -0.026

Rainfall Deviation 0.020 0.020 0.120 0.020 0.120

The Amount of Water Available per Capita 0.067 0.011 0.011 0.011 0.011

Water Usage Equity -0.065 -0.065 -0.011 -0.065 -0.065

Financial Soundness for Water Resources -0.008 -0.008 -0.047 0.008 -0.008

Local Water Independence Ratio -0.011 -0.011 0.011 0.065 0.043

Water Withdrawal Ratio -0.007 -0.007 -0.044 -0.007 -0.015

Vulnerability index 0.025 0.143 0.270 0.167 0.312

Fig. 7. Drought Vulnerability Index

₉✙ᯕ݅. ݡᇡᇥ᮹ߙ❭ᯕ₉✙ᨱᕽݡᇡᇥᯕ᮹čᯕ༉ᦥḡ໕ᕽ

aᵲ⊹᮹ᝁ഑ᖒᮥaḡŁᯩ۵äᮥᅝᙹᯩ݅. ᩑ↽ᱡ⦹⃽ᙹ᭥۵

↽ᘀsᯕ ฯᯕ ԏí ӹ┡ӹ۵ߑ ᯕ۵ ᖅྙ ₙᩍᯱ ᵲ ᩑ ↽ᱡ

⦹⃽ᙹ᭥ᨱݡ⧕ᕽᩑᵲ↽ᱡ⦹⃽ᙹ᭥᮹ᙹ᭥อᮝಽaྥᩍᇡෝ

❱݉⦹۵ߑᝁ഑ᖒᯕ᳑ɩਉᨕḥ݅۵᮹čᯕᨩ݅. ᯕಽᯙ⧕ᵲe

sŝ↽ᘀs᮹₉ᯕaⓍíӹ┡ӹíࡹᨩ݅. Table 5۵ᖅྙᮥ

☖⧕ ᨜ᨕḥ ↽᳦ aᵲ⊹ෝ ᔑᱶ⦹ᩡ݅.

ᖅྙđŝᙹྙ⦺ᱢḡ⢽, vᬑᔍᔢᱢḡ⢽, ᯙྙ⦺ᱢḡ⢽ᵲ

vᬑ ᔍᔢᱢ ḡ⢽a ↽Ł ᱱᙹ 1ᵲ 0.396ᮥ ӹ┡ԕ໑ aᰆ ⓑ

aᵲ⊹ෝaᲭŁᯙྙ⦺ᱢḡ⢽a0.288ಽaᰆԏᮡaᵲ⊹ෝ

wíࡹᨩ݅. ᙹྙ⦺ᱢḡ⢽ᨱᕽ۵ᩑ↽ᱡ⦹⃽ᙹ᭥aօaḡ

ḡ⢽ᵲ0.354ಽaᰆ׳íӹ┡ԍŁᩑ↽ᱡḡ⦹ᙹ᭥a0.256᮹

aᵲ⊹ෝwíࡹᨩ݅. vᬑᔍᔢᱢḡ⢽ᵲྕvᬑᯝᙹa0.392ಽ

aᰆ׳íӹ┡ԍᮝ໑vᬑḲᵲශŝvᬑ⠙₉ᮉᯕ0.305, 0.303᮹

aᵲ⊹ෝwíࡹᨩ݅. ᯙྙ⦺ᱢḡ⢽ᵲᨱᕽ۵1ᯙݚaᬊᙹᯱᬱ ᯕ0.233ᮝಽaᰆ׳íӹ┡ԍᮝ໑aྥᨱaᰆⓑᩢ⨆ᮥၙ⊽݅

۵đŝaӹ᪵݅. ྜྷᯕᬊŖ⠪ᖒŝྜྷᯱɪශᯕ0.226ᮝಽ݅ᮭᮝ ಽ ᩢ⨆ᮥ ၙ⊽݅۵ ᮹čᯕᨩ݅. ᯕෝ ၵ┶ᮝಽ ↽᳦ᱢᯙ aྥ

≉᧞ᖒ ḡᙹෝ ᔑ⇽⦹ᩡ݅.

4.4 ౖஂԧࢇ౫ઊন஺৤Թࢳ

Ğ⨆ᖒáᱶᮝಽ⢽ᵡ⪵⦽ḡ⢽ᨱaᵲ⊹ෝᱢᬊ⦽đŝᯕ݅.

⢽ᵡ⪵อᮥ⦹ᩡᮥভ9.5ಽaᰆ׳ᮡ≉᧞ᖒᮥᅕᩡ޹⧊⃽

ḡᩎᮡaᵲ⊹ෝᱢᬊ⦹ᩡᮥভ0.312ಽӹ┡ԍ݅. ᔢᵝ᪡⧉ᦩᮡ

⢽ᵡ⪵⬥6ᱱᮥၼᦹᮝӹaᵲ⊹ᱢᬊ⬥bb0.27ŝ0.167ᮥ

ၼᮝ໑ ฯᮡ ₉ᯕa ӹ┡ԍ݅. ᯕ۵ aᵲ⊹ෝ ᱢᬊ⦹í ࡹ໕ᕽ

vᬑ ᔍᔢ ᇥ᧝ᨱᕽ aྥᨱ ≉᧞⧉ᮥ ऽ్ԕ໕ᕽ ฯᮡ ᱱᙹෝ

᨜íࡹᨩŁ⧉ᦩᮡᔢݡᱢᮝಽᯙྙᇥ᧝ᨱᕽ≉᧞⧉ᮥऽ్ԩᮝ ӹaᵲ⊹ෝᱢᬊ⧩ᮥভaᵲ⊹aᱢíᔑᱶࡹᨕ↽᳦ᱢᯙaྥ

≉᧞ᖒḡᙹᨱᕽ۵޵ԏíӹ┡ԍ݅. Ğ⨆ᖒáᱶᮥ☖⦽⢽ᵡ⪵⦽

ḡᙹෝ ᔍᬊ⦹í ࡹ໕ aྥᨱ ᩢ⨆ᮥ ӝ⊹۵ bb᮹ ᩢ⨆ಆᯕ

݅ෙߑၵಽᱢᬊ⦹ᩍ≉᧞ᖒᮥ⠪a⦹ʑᨱ۵ฯᮡྕญaᯩ݅.

ߙ❭ᯕႊჶ᮹ᖅྙᮥ☖⧕ᩍ్ᙹᯱᬱᇥ᧝᮹ᱥྙaॅ᮹᮹čᮥ

ၹᩢ⦹ᩍaᵲ⊹ෝđᱶ⦹ᩡ݅. ᯕෝᱢᬊ⦹ᩍᔑ⇽ࡽ↽᳦≉᧞ᖒ

ḡᙹ۵ᙹ⊹ᱢᮝಽ༉ܩ░ย᮹}ֱᮥ⡍⧉⦽ḡᙹ᪡޵ᇩᨕᙹᯱ

ᬱᱥྙaॅ᮹᮹čᮥၹᩢ⦹ᩍ~šᱢᯕŁᝁ഑ᖒᮥ׳ᯙ≉᧞ᖒ

ḡᙹ௝Ł ❱݉ࡽ݅.

5. đು

ᅙ ᩑǍᨱᕽ۵ ŝÑ᮹ ᯱഭෝ ᙹḲ⦹ᩍ ᯕᨱ ݡ⦽ Ğ⨆ᖒᮥ

☖⧕ ༉ܩ░ย᮹ }ֱᮥ ⡍⧉⦽ ḡᙹෝ }ၽ⦹ᩡ݅. ᯕ۵ ŝÑ

(10)

ᯱഭෝ☖⧕ʑ⬥ᄡ⪵ၰࠥ᜽⪵, ᅖḡ॒᮹ᄡ⪵a⡍⧉ࡹᨕᯩ۵

aྥ≉᧞ᖒḡᙹᯕ݅. ᯕᨱᙹᯱᬱᇥ᧝ᩑǍෝ⦹Łᯩ۵ᱥྙa

Ḳ݉ᮥǍᖒ⦹ᩍߙ❭ᯕႊჶ᮹ᖅྙᮥ☖⧕bᇥ᧝ᄥbḡ⢽ᄥ

aᵲ⊹ෝݍญ⦹ᩍ↽᳦ᱢᯙ ≉᧞ᖒḡᙹෝᔑᱶ⦹ᩍ~šᖒᮥ

ᇡᩍ⦹ᩡ݅. ᯕෝӺ࠺vᮁᩎ᮹vᱶ, ݍᖒ, ᔢᵝ, ⧉ᦩ, ⧊⃽ᨱ

ᱢᬊ⦹ᩡ݅.

aᵲ⊹ෝᇡᩍ⦹ʑᱥᨱ۵⋁łŝ⧊⃽ᯕaᰆ≉᧞⦽ḡᩎᮝಽ

ӹ┡ԍḡอ↽᳦aྥ≉᧞ᖒḡᙹᔑᱶđŝ⧊⃽ᯕaᰆ≉᧞⦽

ḡᩎᮝಽӹ┡ԍ݅. ੱ⦽aᵲ⊹ෝᇡᩍ⦹ᩡᮥভᔢᵝੱ⦽ᔢݡᱢ ᮝಽ≉᧞⦽ḡᩎᮝಽӹ┡ԍ݅. aྥ≉᧞ᖒḡᙹෝᔑᱶ⦹۵ߑ

ᯩᨕᕽbb᮹ḡ⢽aᵲ᫵⦹ḡอ≉᧞⧉᮹ᩢ⨆ᮥၙ⊹۵ᱶࠥ۵

༉ࢱa݅෕݅. ᯕᨱᙹᯱᬱᇥ᧝᮹ᱥྙaḲ݉ᮥǍᖒ⦹ᩍ᮹čᮥ

ၹᩢ⦽}ᄥᱢᯙaᵲ⊹ෝᇡᩍ⦹۵äᯕ~šᖒŝᝁ഑ᖒᮥ׳ᯙ

↽᳦ᱢᯙ ≉᧞ᖒ ḡᙹ௝Ł ⧁ ᙹ ᯩ݅.

Ğ⨆ᖒáᱶᮥ☖⦽⢽ᵡ⪵ႊჶᨱᕽᵲ᫵⦽äᮡᯱഭ᮹ʙᯕ᪡

ᝁ഑ᖒᯕ௝Ł⧁ᙹᯩ݅. bʑšᨱᕽšญ⦹Łᯩ۵⦹⃽ᙹ᭥, ḡ⦹ᙹ᭥॒᮹sᮡđ⊂ᯝᯕ݅ᙹၽčࡹᨩŁ, ḡ⦹ᙹ᭥᮹Ğᬑ

ᯱഭ᮹ʙᯕaṈ݅. Ğ⨆ᖒáᱶᮥ☖⧕༉ܩ░ย᮹}ֱᮥ᯦ࠥ⦹

ᩍ ≉᧞ᖒ ḡᙹ ᔑᱶႊჶᮥ }ၽ⦽ đŝ š⊂ʑe᮹ ᰆʑ⪵᪡

޵ᇩᨕᯱഭ᮹ḩ᮹⨆ᔢᯕᯕ൉ᨕḥ݅໕ʑ⬥ᄡ⪵, ࠥ᜽⪵, ᅖḡ᮹

᜽eᨱ ⮱෥ᨱ ঑ෙ ≉᧞ᖒ ḡᙹ᮹ ᄡ⪵ ੱ⦽ ࠥ༉⧁ ᙹ ᯩᮥ

äᯕ௝ ❱݉ࡽ݅.

aᵲ⊹ෝđᱶ⦹۵ߑᯩᨕᕽᙹᯱᬱᱥℕᱢᯙႊ໕ᨱݡ⧕ᕽ

ᖅྙᮥᝅ᜽⦹ᩡŁᯕᨱݡ⦽äᮥᱢᬊ⦹ᩡ݅. ⬥ᗮᩑǍಽᯕᨱ

ݡ⧕ᕽḡᩎᱢᯙ⠙₉ෝŁಅ⦹Łḡᩎᱢᯙ✚ᖒᮥ❭ᦦ⦹ᩍᖅྙ

ᮥᝅ᜽⦽݅໕ḡᩎ✚ᖒᨱ঑ෙaᵲ⊹ෝݍญ⦹ᩍᅕ݅ᱶ⪶⦽

≉᧞ᖒ ḡᙹa ᔑᱶࢁ ᙹ ᯩᮥ äᯕ௝ ❱݉ࡽ݅.

qᔍ᮹ɡ

ᅙᩑǍ۵2012֥Ʊᮂŝ⦺ʑᚁᇡʑⅩᩑǍᔍᨦ-ᵲčᩑǍᯱ

(⧖ᝍᩑǍ)᮹ᩑǍḡᬱእ(2012-005348)ෝḡᬱၼᦥᙹ⧪ࡽᩑǍ

᯦ܩ݅.

References

Bae, D. H., Jung, I. W. and Chang, H. (2008). “Long term trend of precipitation and runoff in Korean river basins.” Hydrological Process, Vol. 22, No. 14, pp. 2644-2656 (in Korean).

Choi, D. J., Park, D. H., Park, S. J., Lee, J. H. and Lee, H. J. (2009).

“Development of water policy indicators : Water use indicators.”

Journal of Water Resource Association, KWRA, Vol. 11, No. 3, pp. 156-160 (in Korean).

Conover, W. J. (1971). Practical nonparametric statistics, Wiley.

Hisdal, H., Stahl, K., Talaksen, L. M. and Demuth, S. (2001). “Have streamflow droughts in europe become more severe or frequent.”

International Journal of Climatology, Vol. 21, No. 3, pp. 317-333.

IPCC (2007). Climate change 2007: The physical science synthesis report, Cambridge University Press, Cambridge.

Kang, M. G., Lee, K. M., Ko, I. H. and Jeong, C. Y. (2008).

“Development of a integranted indicator system for evaluating the state of watershed management in the context of river basin management using factor analysis.” Journal of Water Resource Association, KWRA, Vol. 44, No. 3, pp. 277-291 (in Korean).

Kendall, M. G. (1975). Rank correlation methods, Charles Griffin, London, p. 202.

Lee, J. J., Jang, J. Y. and Kwak, C. J. (2010). “An analysis of temporal characteristic change for various hydrologic weather parameters (I) - On the basic statistic, trend.” Journal of Water Resource Association, KWRA, Vol. 43, No. 4, pp. 409-419 (in Korean).

Lee, J. S. (2001). Method of Delphi, Publisher of Education and Science, Science Education (in Korean).

Lee, J. Y., Yi, M. J., Lee, J. M., Ahn, K. H., Won, J. H., Moon, S. H.

and Cho, M. J. (2006). “Parametric and non-parametric trend analysis of groundwater data obtained from national groundwater monitoring stations.” Journal of Korean Society of Soil and Groundwater Environment, KoSSGE, Vol. 11, No. 2, pp. 56-67 (in Korean).

Mann, H. B. (1945). Nonparametric tests against trend, Econometrica, 13, pp. 245-259.

National Institute of Meteoroligical Research (2004). Regional climate scenarios for climate change, output technology(III) (in Korean).

Oliver, J. E. (2005). Encyclopedia of world climatology, Springer, Berlin Heidelberg New York, p. 855.

Salmi, T., Maatta, A., Anttila, P., Ruoho-Airola, T. and Amnell, T.

(2002). “Detecting trends of annual values of atmospheric pollutants by the mann-kendall test and sen's slope estimates -The excel template application makesens.” Finnish Meteorological Institute, Helsinki, p. 35.

Son, M. W., Sung, J. Y., Chung, E. S. and Jun, K. S. (2011).

“Development of flood vulnerability index considering climate change.” Journal of Korea Water Resources Association, KWRA, Vol. 44, No. 3, pp. 231-248 (in Korean).

Sullivan, C. A. (2002). “Calculating a water poverty index.” World Development, Vol. 30, No. 7, pp. 1195-1210.

Yang, J. S., Park, J. H. and Kim, N. K. (2012). “Development of drought vulnerability index using trend analysis.” Journal of Water Resource Association, KWRA, Vol. 32, No. 3B, pp. 185-192 (in Korean).

Yu, G. Y. and Kim, I. A. (2008). Introduction method development and vulnerability assessment index of climate change, Korea Environment Institute (in Korean).

수치

Table 1. Study Area and Gauge Station
Table 2. Selected Indicators
Table 3. Drought Vulnerability Index Before the Application of Delphi Method
Fig. 2. Drought Vulnerability Index Before the Application of  Delphi Method
+2

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