Üniversite Kampüsünde Yağmur Suyu Hasadı Potansiyelinin CBS Tabanlı Değerlendirilmesi: Kütahya Dumlupınar Üniversitesi Örneği DOI Open Access

Опубликована: Янв. 1, 2023

Dünyanın üzerindeki kurak ve yarı bölgeler, yağış eksikliği öngörülemeyen düzenleri nedeniyle su kıtlığı sorunlarıyla karşı karşıyadır. Yağmur suyu hasadı, bu bölgelerde tarım uygulamaları için yerel yüzey akışın toplanması, depolanması korunması; sürdürülebilir kentsel gelişimde kıtlığının hafifletilmesi azaltılması etkili bir yaklaşımdır. Günümüzde yağmur hasadı sistemleri, artan üstesinden gelmeye güvenliğini sağlamaya yönelik düşük maliyetli, doğaya dayalı çözüm olarak popülerlik kazanmaktadır. Bu çalışmada, Coğrafi Bilgi Sistemleri (CBS) ile Kütahya Dumlupınar Üniversitesi Evliya Çelebi Yerleşkesinde yer alan yapı çatılarının, toplama kapasitelerinin potansiyeliaraştırılmıştır. Çalışma kapsamında QGIS yazılımında veri tabanı oluşturulmuş uydu görüntüleri üzerinden mevcut yapıların çatıları sayısallaştırılmıştır. Çalışmanın sonucunda, kampüsteki toplam 175.321,23 m2 olan çatlarından yıllık toplamda 70.380,840 m3 yapılabileceği ortaya konulmuştur. Toplanan sularının tamamının bahçe sulamasında kullanılması durumunda, 14.076.168,14 yeşil alanın sulama karşılanabilecektir. Bahçe sulaması işleminin her gün yapılması ihtiyacının %34,83’ü, haftada iki kez durumunda %121,92’i, ise %243,84’i Bununla birlikte toplanan sularının, 1432 kişinin yıl boyunca tuvalette kullandığı ihtiyacını karşılayabileceği, 703.808 adet aracın temizlenmesinde kullanılabileceği tespit edilmiştir. Çalışmada YSTS’nin kurulum maliyetinin amortisman süresinin belirlenmesi araştırma kapsamına alınmamıştır. elde edilen sonuçların, çevre yönetimi açısından hayata geçirilecek sisteminin tasarımında, karar vericiler sistem kurucuları referans oluşturması beklenmektedir.

Optimal rainwater harvesting locations for arid and semi-arid regions by using MCDM-based GIS techniques DOI Creative Commons

Waqed H. Hassan,

Karrar Mahdi,

Zahraa K. Kadhim

и другие.

Heliyon, Год журнала: 2025, Номер 11(3), С. e42090 - e42090

Опубликована: Янв. 23, 2025

Rainwater collection and effective water resource management are essential for boosting availability, land productivity, groundwater levels in dry places like Iraq, which is susceptible to climate change drought. This work develops a GIS-based rainfall harvesting (RWH) method the western Karbala Governorate, address shortages future replenishment irrigation demands. LARS-WG 8 was used study how affects assess whether rainwater feasible sustainable. The research found that annual governorate would grow by 18%-24 % 21st century, highlighting necessity of sustainability. Themed RWH layers were created using ArcGIS software multi-criteria decision-making technique. Analytic Hierarchy Process determined tier weights based on seven factors. Based literature, local experts, statistics, rainfall, curve number, slope, stream order, soil texture, use, runoff depth considered. consistency ratio 2.6 validated comparison component showed each criterion appropriately weighted. most (47 total) depth. map classified areas as high, medium, or low appropriateness. Results indicated three groups uniformly distributed. results appeared; area lands have 34.4 (745 km2) medium suitability, 34.2 (752 31.8 (697 high largely central sections. Sensitivity analysis applied find sensitive characteristics, establish criteria ideal locations, ensure focuses right elements. this novel help policymakers develop allocation policies, promoting an alternative supply West other water-scarce locations.

Язык: Английский

Процитировано

2

GIS-based multi-criteria decision making for identifying rainwater harvesting sites DOI Creative Commons

Waqed H. Hassan,

Karrar Mahdi,

Zahraa K. Kadhim

и другие.

Applied Water Science, Год журнала: 2025, Номер 15(3)

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

1

A holistic multi-tiered decision framework for evaluating rainwater harvesting potential in arid regions: A case study of the southeastern basin of Djibouti DOI
Rachid Mohamed Mouhoumed, Ömer Ekmekcioğlu, Mehmet Özger

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 25, С. 101090 - 101090

Опубликована: Янв. 13, 2024

Язык: Английский

Процитировано

5

A GIS-based agroecological model for sustainable agricultural production in arid and semi-arid areas: The case of Kerman Province, Iran DOI Creative Commons
Kamaleddin Aghaloo, Ayyoob Sharifi

Current Research in Environmental Sustainability, Год журнала: 2023, Номер 6, С. 100230 - 100230

Опубликована: Янв. 1, 2023

Promoting the adoption of crop species with medicinal and commercial value can provide new opportunities for local communities to export their products. Meanwhile, using sustainable water resources minimizing over-exploitation groundwater are urgently needed due critical status aquifers in many parts world. Most existing studies focused on a single aspect this issue. However, few have incorporated results several suitability models agroecological processes. Rossa Damascena Mill is recognized as raw material added considerable profitability. In addition, it resistant drought adapts different climatic conditions. This paper presents framework optimal detection suitable land activities. We tested Kerman Province (Iran) identify: 1) lands cultivation, 2) agricultural rainwater harvesting (ARWH) systems, 3) developing both Rosa farms RWH simultaneously. Results revealed that approximately 24,808.5 km2 (14% province's land) dry farming. Also, systems be implemented 19,024.4 (11% province). Overlapping rainfed agriculture highlights only 4% study area cultivated. Finally, two strategies suggested: cultivation a) ranked areas b) farms/gardens supplied by nearby. Sensitivity analysis overall accuracy assessment validated robustness modeling. proposed model helpful making effective decisions regarding region's development strengthen economy address stress issues, especially arid semi-arid areas. The implications SDGs, including SDG 12 consumption production 15 life land. They also used enhance resilience against stressors induced climate change.

Язык: Английский

Процитировано

11

Enhancing local-scale groundwater quality predictions using advanced machine learning approaches DOI
Abhimanyu Singh Yadav, Abhay Raj, Basant Yadav

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122903 - 122903

Опубликована: Окт. 15, 2024

Язык: Английский

Процитировано

4

Experimental and numerical study of cadmium fate and transport mechanisms during artificial recharge in agricultural regions DOI

Himanshu Rawat,

Kartik Jadav, Ajit Kumar

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 27, С. 101327 - 101327

Опубликована: Сен. 7, 2024

Язык: Английский

Процитировано

3

Methodologies for Locating Suitable Areas for Rainwater Harvesting in Arid Regions: A Review DOI Open Access
F. Silva, Fernando António Leal Pacheco, Luís Filipe Sanches Fernandes

и другие.

Water, Год журнала: 2025, Номер 17(10), С. 1500 - 1500

Опубликована: Май 16, 2025

The present review article aims to address what is currently being studied in the field of identifying suitable regions for implementation rainwater harvesting (RWH) systems arid zones. need this study supported by growing interest topic, which has arisen due environmental concerns and search sustainable development techniques. Through application Methodi Ordinatio, 37 articles produced between 2020 2025 were identified. Analyzing results, it was possible observe widespread use analytical hierarchy process (AHP) as a Multi-Criteria Analysis (MCA) methodology. To lesser extent, Fuzzy Analytic Hierarchy Process (FAHP) Weighted Linear Combination (WLC) also used. selected thematic layers, well weights criteria, underwent sensitive analysis researchers may exhibit significant variation, even studies conducted nearby areas. most commonly used layers slope (35 articles), land use/land cover (LULC) (28 rainfall (26 drainage (25 soil articles). This can be methodological guide future research important systematization RWH

Язык: Английский

Процитировано

0

Identifying the suitable managed aquifer recharge (MAR) strategy in an overexploited and contaminated river basin DOI
Kartik Jadav, Basant Yadav

Environmental Monitoring and Assessment, Год журнала: 2023, Номер 195(8)

Опубликована: Авг. 1, 2023

Язык: Английский

Процитировано

5

Rainwater Harvesting for Managed Aquifer Recharge and Flood Mitigation in the MENA Region DOI
Mustafa El-Rawy, Mohamed Wahba, Heba Fathi

и другие.

Earth and environmental sciences library, Год журнала: 2024, Номер unknown, С. 47 - 72

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1

Artificial recharge initiatives in India: Challenges and future scope DOI Creative Commons
Abhay Raj, Basant Yadav, Nitesh Patidar

и другие.

APN Science Bulletin, Год журнала: 2024, Номер 14(1), С. 93 - 109

Опубликована: Авг. 31, 2024

Artificial recharge of aquifers is regarded as a fundamental supply-side strategy in India to address the prevalent issue groundwater over-exploitation. Rainwater harvesting and artificial are often implemented cohesive sets interventions because significant collateral benefits rainwater harvesting. Central state governments have various schemes that incorporate recharge. Several studies underway investigate optimal selection construction sites, structural types, designs based on local hydrogeology, flow patterns, terrain conditions, water demand. These investigations aimed assess impact these factors resource replenishment quality enhancement. Studies been conducted determine extent which such initiatives yield socio-economic advantages. The discourse has encompassed crucial concerns, accessibility source for recharge, conflicts between upstream downstream stakeholders, increasing recognition demand-side measures sustainable administration reservoirs. paper highlights there rise number regarding post-2020. Overall, this showcases challenges implementation structures with special focus aspects site suitability, operational problems governance. study also sheds light future scope use resources. More should be performed considering large-scale implications resilience towards climate change concerns.

Язык: Английский

Процитировано

1