Suppr超能文献

利用 RS 和 GIS 技术评估埃塞俄比亚塔纳湖盆地的灌溉扩张及其对水资源的影响。

Assessment of irrigation expansion and implications for water resources by using RS and GIS techniques in the Lake Tana Basin of Ethiopia.

机构信息

Civil and Water Resources Engineering Faculty, Bahir Dar University, 239, Bahir Dar, Ethiopia.

Blue Nile Water Institute, Bahir Dar University, Bahir Dar, Ethiopia.

出版信息

Environ Monit Assess. 2020 Dec 21;193(1):13. doi: 10.1007/s10661-020-08778-1.

Abstract

Understanding irrigation expansion and its implications on water availability is critical for development of decision support tools for sustainable water resources planning. Irrigation expansion in the Lake Tana Basin of Ethiopia from 1986 to 2016 was examined using image classification from thematic maps and remote sensing imagery (Landsat5-8 TM/ETM+, OLI). The soil-adjusted vegetation index (SAVI) imagery was used to identify irrigated cropland based on greenness. Irrigation water consumption was determined by calculating irrigation water requirements of the major crops grown with irrigation and using the estimated irrigated land size of the basin. Irrigated croplands have increased in area from 55 to 65 % in the last past 30 years (from 1986 to 2016). The classification obtained is accurate to the level of 89.6% and Kappa coefficient of 0.83. The Landsat imagery is useful in tracking of the spatiotemporal patterns of irrigated croplands for water management purposes, especially in data deficient areas dotted sparsely by small holder irrigated farms. The results indicated that irrigation consumption in the basin increased from 0.380 km year in 1986 to 0.798 km year in 2016. It is found that the available water cannot sustain the projected irrigation expansion unless alternative water sources are found. Also, more precise irrigation technologies have to be implemented to minimize water losses.

摘要

了解灌溉扩张及其对水资源可利用性的影响,对于开发可持续水资源规划的决策支持工具至关重要。本研究利用专题地图和遥感影像(Landsat5-8 TM/ETM+、OLI)的图像分类,研究了 1986 年至 2016 年埃塞俄比亚塔纳湖流域的灌溉扩张情况。利用土壤调整植被指数(SAVI)影像,根据植被的绿色度来识别灌溉耕地。通过计算主要灌溉作物的灌溉需水量,并利用流域估算的灌溉土地面积,确定灌溉用水量。在过去的 30 年中(从 1986 年到 2016 年),灌溉耕地面积从 55%增加到 65%。分类结果的准确率达到 89.6%,Kappa 系数为 0.83。Landsat 影像可用于跟踪灌溉耕地的时空模式,以进行水资源管理,特别是在零星分布着小型灌溉农场的资料匮乏地区。结果表明,1986 年至 2016 年,流域内的灌溉用水量从 0.380km 年增加到 0.798km 年。研究发现,除非找到替代水源,否则现有水资源无法支撑预计的灌溉扩张。此外,还必须实施更精确的灌溉技术,以最大限度地减少水资源损失。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验