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akaturk Akademik ölçüm

Makale detayı · 2022

Determination of Water Footprint for the Cotton and Maize Production in the Küçük Menderes Basin

Dergi

WATER

ISSN 1421-3427

YÖKSİS OpenAlex Açık erişim · gold SJR Q4 Atıf 14 Yüzdelik 69.8% FWCI 0.98
Yıl
2022
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • YÖKSİS dergi adı WATER
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

Considering the effects of rapid population growth, urbanisation and climate change in recent years, the protection of freshwater resources, the prevention of water pollution and the proper sharing of freshwater resources among different sectors have become important issues. Water footprint (WF) is a sign of freshwater use and is not only an indicator that can be used in the climate crisis, but also to protect water against nitrate pollution. In this study, the Küçük Menderes Basin was chosen as the study area due to different crop varieties. Agricultural crop patterns were classified using Rapideye and Sentinel-2 satellite images of the study area obtained in 2017. Thus, the cultivated areas were obtained for cotton and maize (grain and silage) in the basin. In particular, agricultural crop patterns were considered in which agricultural production was intensive and blue water was used predominantly. As a result, the first-crop corn production, which has a high blue WF of 3840 m3/ton in the basin, has the highest greywater footprint due to the use of intensive chemical fertilisers. This was followed by cotton with 2331 m3/ton, and the second-crop silage corn production had the lowest greywater footprint. Agriculture’s water footprint assessment provides a solid foundation for planning climate change adaptive crop production, managing nitrate-sensitive areas and anticipating future regional changes.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

14 atıf

OpenAlex cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 10 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint 2023 Atıf 56 · OpenAlex
  2. Performance analyses of effective rainfall estimation methods for accurate quantification of agricultural water footprint 2023 Atıf 54 · OpenAlex
  3. Prediction of Canopy Cover for Agricultural Land Classification in Land Parcel Identification System (LPIS) Data Using Planet-Scope Multispectral Images: A Case of Gelendost District 2024 Atıf 5 · OpenAlex
  4. Reducing grey water footprint input and Blue - Green water footprint output of silage maize in biochar applications under irrigation with different water sources 2025 Atıf 3 · OpenAlex
  5. Reduction of blue and total water footprints per unit biomass yield of silage maize with grey water footprint input in subsurface drip irrigation 2024 Atıf 2 · OpenAlex
  6. Reducing gray, blue, green, and total water footprint in wastewater irrigated silage maize in zero tillage 2024 Atıf 2 · OpenAlex
  7. Reducing gray, blue, green, and total water footprint in wastewater irrigated silage maize in zero tillage 2024 Atıf 2 · OpenAlex
  8. Reduction of blue and total water footprints per unit biomass yield of silage maize with grey water footprint input in subsurface drip irrigation 2024 Atıf 2 · OpenAlex
  9. Türkiye’de Pamuk Üretiminin Su Yönetimi Açısından İncelenmesi 2024 Atıf 1 · OpenAlex
  10. The high-resolution evaluation water footprint and virtual water trade of cotton in Türkiye 2026 Atıf 0 · OpenAlex

Yazarlar

  1. MUSTAFA TOLGA ESETLİLİ
  2. ZAFER ALİ SERBEŞ
  3. BİHTER ÇOLAK ESETLİLİ EGE ÜNİVERSİTESİ
  4. YUSUF KURUCU
  5. SEZAİ DELİBACAK