Use of Remote Sensing and Geographic Information Systems in Irrigation Performance: A Case Study of Atabey Irrigation Scheme

Ayşegül PARLADIR KARCI; Yusuf UÇAR

doi:https://doi.org/10.30910/turkjans.633537

Article Details

Use of Remote Sensing and Geographic Information Systems in Irrigation Performance: A Case Study of Atabey Irrigation Scheme

Authors:

Ayşegül PARLADIR KARCI | Yusuf UÇAR

Publisher:

Mevlüt AKÇURA

Journal:

Turkish Journal of Agricultural and Natural Sciences 2019 Vol.6 Issue 4, pp.624-635

Document Type:

Article

Publication Date:

10/2019

Document Language:

English

Document ID (Org No.):

2000669407

Frequency:

Quarterly

pISSN:

2148-3647

DOI:

https://doi.org/10.30910/turkjans.633537

Abstract:

 


In this study, the irrigation
performance of Atabey Irrigation Scheme was assessed by making use of Remote
Sensing (RS) and the Geographic Information System (GIS). For this purpose, the
crop pattern maps of the scheme were generated by the help of the supervised
classification method with the RapidEye satellite data of 2012 concerning the
study area by employing the RS techniques, whereas the canal maps of the scheme
were generated by the help of the techniques of the Geographic Information
System. By the help of these data, the monthly water supply ratios – one of the
performance indicators – were computed. A total of 24 crop classes, 10 of which
were in the irrigated area corresponding to about one-third (5,239.75 ha;
33.72%) of the total area but the remaining 14 of which were in the
non-irrigated (rainfed agriculture) area corresponding to about two-thirds
(10,299.74 ha; 66.28%) of the scheme area, were determined as a result of the
crop pattern classification. The total irrigation water requirement for Atabey
irrigation scheme was calculated as 42,618 m3 minimum and 5,647,246
m3 at the maximum between April and October. The Relative Water
Supply (RWS) in the months concerned ranged from 28.16 to 2.39 and the average
in 2012 was calculated as 3.25. The assessment, collection, operating and
maintenance expenses of the scheme and, by the help of these data, its fee
collection and financial efficiency ratios were calculated. The fee collection
ratio was found as 88.12% and the financial efficiency ratio as 1.42 at the
scheme in 2012.

.

 


Bu çalışmada; Atabey Sulama Şebekesinin Uzaktan Algılama ve Coğrafi Bilgi Sistemi’nden
yararlanılarak sulama performansı değerlendirilmiştir. Bu amaçla, Uzaktan
Algılama teknikleri kullanılarak çalışma alanına ilişkin 2012 yılı RapidEye
uydu verisi ile kontrollü (supervised) sınıflandırma yöntemi yardımıyla
şebekeye ait bitki deseni haritaları, Coğrafi Bilgi Sistemi teknikleri
yardımıyla da şebekeye ilişkin, kanal haritaları oluşturulmuştur. Bu veriler
yardımı ile performans göstergelerinden biri olan aylık su temini oranları
hesaplanmıştır. Bitki deseni sınıflandırması sonucunda 10 tanesi toplam alanın
yaklaşık 1/3’üne karşılık gelen (5239.75 ha; %33.72) sulanan alanda, geriye
kalan 14 tanesi ise şebeke alanının yaklaşık 2/3’üne denk gelen (10299.74 ha; %
66.28) sulanmayan (kuru tarım) alanda yer alan toplam 24 bitki sınıfı
belirlenmiştir. Atabey sulama şebekesi için toplam sulama suyu ihtiyacı nisan-ekim
ayları arasında en az 42618 m3
ile en fazla 5647246 m3 olarak hesaplanmıştır. Belirtilen aylardaki su temini
oranı ise 28.16-2.39 arasında değişmiş, 2012 yılında ortalama su temini oranı
ise 3.25 olarak hesaplanmıştır. Şebekenin tahakkuk, tahsilat, işletme ve bakım
masrafları ile bu veriler yardımıyla tahsilat oranı ve mali yeterlilik oranları
hesaplanmıştır. Şebekede 2012 yılında tahsilat oranı %88.12, mali yeterlilik
oranı ise 1.42 olarak bulunmuştur.

.

Article Details

Use of Remote Sensing and Geographic Information Systems in Irrigation Performance: A Case Study of Atabey Irrigation Scheme

Authors: Ayşegül PARLADIR KARCI | Yusuf UÇAR

Publisher: Mevlüt AKÇURA

Journal: Turkish Journal of Agricultural and Natural Sciences 2019 Vol.6 Issue 4, pp.624-635

Document Type: Article

Publication Date: 10/2019

Document Language: English

Document ID (Org No.): 2000669407

Frequency: Quarterly

pISSN: 2148-3647

DOI: https://doi.org/10.30910/turkjans.633537

Issues

Authors:

Ayşegül PARLADIR KARCI | Yusuf UÇAR

Publisher:

Mevlüt AKÇURA

Journal:

Turkish Journal of Agricultural and Natural Sciences 2019 Vol.6 Issue 4, pp.624-635

Document Type:

Article

Publication Date:

10/2019

Document Language:

English

Document ID (Org No.):

2000669407

Frequency:

Quarterly

pISSN:

2148-3647

DOI:

https://doi.org/10.30910/turkjans.633537