资助项目:国家自然科学基金“基于氢氧同位素技术的元阳梯田水源区土壤水分运移规律研究”(41371066); 云南省高校优势特色重点学科(生态学)建设资助项目; 云南省高校土壤侵蚀与控制重点实验室资助
第一作者:张兆豪(1993—),男,云南腾冲人,硕士研究生,研究方向为森林水文。E-mail:1725818011@qq.com 通信作者:宋维峰(1967—),男,甘肃会宁人,博士,教授,主要从事生态环境工程和森林水文学教学和研究工作。E-mail:songwf85@126.com
为研究元阳梯田灌溉渠系的空间结构特征,针对目前传统遥感影像对梯田沟渠分辨率不足,提取精度低的特点,提出了无人机遥感技术获取元阳梯田全福庄灌区遥感影像,利用ArcGIS 10.1软件提取灌溉渠系,把研究区分为3个亚灌区,运用Horton定律分别计算出其渠系结构参数特征。结果 表明:(1)研究区内渠系级别为5级,其中1级渠系平均长度最长,2级渠系数量最多,2级渠系在水量分配中起着控制性作用:随着灌溉面积的增大,渠频数和渠网密度表现为逐渐增大。(2)研究区的分形维数为全福庄总灌区(4.72)、小寨(1.93)、大寨(2.39)、大鱼塘(2.12),小寨灌区分形维数值偏低。(3)渠系级别越多,渠系总量越多。随着渠系级别的增加,渠系平均长度表现为逐级递减。(4)对灌溉面积与分形维数关系进行分析发现灌溉面积越大,其分形维数也越大,渠系结构越复杂,梯田蓄水也越深。无人机遥感技术为元阳梯田灌区渠系识别提供了新的技术途径,研究结果为灌区后期渠系改造和灌溉管理提供参考。
To study the spatial structure characteristics of irrigation canal system in Yuanyang terrace, in view of the lack of resolution of traditional remote sensing image on terrace ditch, and characteristics of low extraction precision, the remote sensing image of Quanfuzhuang irrigation area in Yuanyang terrace was obtained by using UAV remote sensing technology, ArcGIS 10.1 software was used to extract irrigation canal system. The study area was divided into three sub-irrigated areas and the characteristics of canal structure parameters were calculated by using Horton's law. The results show that:(1)the grade of canal system in the study area is 5, in which the average length of the first canal system is the longest, and the number of the second canal system is the largest; the second canal system plays a controlling role in water distribution, canal frequency and canal network density increase gradually with the increase of irrigation area;(2)the fractal dimension of the total irrigation area of Quanfuzhuang is 4.72, 1.93 for Xiaozhai, 2.39 for Dazhai and 2.12 for Dayutang, the fractal dimension value of Xiaozhai irrigation area is low;(3)the more canal levels, the more total canal volume; the average canal length decreases step by step with the increase of canal level;(4)by analyzing the relationship between irrigation area and fractal dimension, it is found that the larger the irrigation area is, the larger the fractal dimension is, the more complex the canal structure is, and the deeper the water storage is. UAV remote sensing technology can provide a new technical approach for canal system identification in the irrigation area of Yuanyang terrace. The results can be used as reference for canal system reconstruction and irrigation management.