降雨对泥炭地土壤沉降的影响加里曼丹中部Pundu地区个案研究

Enny Rahayu, Idum Satia Santi, Chandra Riski Alfikri Harahap
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引用次数: 0

摘要

本研究旨在确定降雨对青藏高原泥炭地土壤沉降的影响程度。TBk。, Pundu,加里曼丹中部。这项研究是在Tbk PT BGA的卡塔里庄园进行的。2019年9月至12月在加里曼丹邦杜中部。所采用的研究方法是调查法,包括两个阶段,即初步调查和主要调查。初步调查确定研究地点,主要调查获取研究数据,即2014 - 2018年的月降雨量和沉降量。为了了解降雨与地面沉降之间的关系,在滞后1、滞后2和滞后3进行了线性和多项式回归。滞后1的回归是去年降雨量与今年地面沉降与同年当月泥炭地地面沉降的上月降雨量之间的关系,对滞后2和滞后3依次类推。结果表明:泥炭地最佳降水与土壤沉降之间的回归是年滞后1线性回归。这意味着去年的降雨对今年的沉降有影响。方程Y = - 0.004 X + 1.209,其中R²= 0.582。该方程由2015-2018年平均降雨量X与2015-2018年土壤沉降Y的相关性得到。而对2015 - 2018年各年份的上月降雨量与本月地面沉降进行回归,则显示出较低的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil Subsidence on Peat Land Due to Rainfall; Case Study of Pundu Region, Central Kalimantan
This study aims to determine the extent to which rainfall affects soil subsidence on peatlands in PT. BGA. TBk., Pundu, Central Kalimantan. The research was conducted at Katari Estate, PT BGA, Tbk. Pundu Central Kalimantan in September - December 2019. The research method used is the survey method, which consists of two stages, namely the preliminary survey and the main survey. A preliminary survey was conducted to determine the research location while the main survey was carried out to obtain research data, namely monthly rainfall data and subdidence in 2014 – 2018. To see the relationship between rainfall and land subsidence, Linear and Polynomial Regressions were made at lag 1, lag 2, and lag 3. Regression with lag 1 is the relationship between rainfall last year with land subsidence this year and rainfall last month with land subsidence on peatlands this month in the same year, and so on for lag 2 and lag 3. The results show that the regression between The best rainfall with soil subsidence on peatlands is the annual Lag 1 Linear Regression. This means that last year's rainfall has an effect on this year's subsidence. with the equation, Y = - 0.004 X + 1.209, where R² = 0.582. This equation is obtained from the correlation between X (average rainfall) from 2015-2018 and Y is soil subsidence also from 2015-2018. While the regression between last month's rainfall and this month's land subsidence in each year (2015 – 2018), shows a low correlation.
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