马来西亚约翰霍尔州降雨的不规则性和时间序列趋势分析
Shaidatul Azdawiyah Abdul Talib1,2, Wan Mohd Razi Idris2,3, Liew Ju Neng2
1Malaysian Agricultural Research and Development Institute (MARDI), Ibu Pejabat MARDI, Persiaran MARDI-UPM, 43400, Serdang, Selangor, Malaysia.
Heliyon
|May 10, 2024
概括
气候变化影响马来西亚柔佛州的降雨,导致极端潮湿和干旱时期. 对历史数据的分析揭示了降雨量下降的趋势,突出了对抗洪水和干旱的适应战略的需要.
科学领域:
- 气候学和气象学 气候学和气象学
- 环境科学 环境科学
- 水文学的水文学
背景情况:
- 气候变化对全球天气模式产生重大影响,降雨变化是一个关键指标.
- 马来西亚,特别是南部的霍尔州,正在经历气候变化的影响,包括与拉尼尼亚和厄尔尼诺等现象相关的洪水和干旱.
- 了解历史降雨趋势对于评估气候变化影响和制定有效的减缓战略至关重要.
研究的目的:
- 为了分析1991年至2020年马来西亚约翰霍尔州的历史降雨数据.
- 为了确定降雨模式的趋势,变化和强度.
- 评估干旱的严重程度,并识别极端潮湿和干旱时期.
主要方法:
- 使用正常性和均性测试进行数据质量保证.
- 由于非正常分布,使用曼-肯达尔和森的斜率估计器进行降雨趋势分析.
- 使用标准化的降水异常,变化系数,降水度指数,降雨异常指数和标准降水指数来评估降雨变化,强度和干旱严重程度.
主要成果:
- 柔佛州的年度和季节性降雨量呈现下降趋势,尽管在统计学上并不显著.
- 该研究确定了极端潮湿的年份 (例如2007年) 和干旱的年份 (例如1997年,1998年,2016年),与重大洪水和厄尔尼诺现象相关.
- 三月和四月被确定为最干燥的月份,这表明季节性降雨的脆弱性.
结论:
- 柔佛的降雨模式表现出显著的变化,导致反复发生的洪水和干旱事件.
- 这些发现强调了气候变化对区域天气模式的切实影响.
- 结果为制定有针对性的适应和减缓战略提供了基础,以减少约翰霍尔的气候变化影响.
相关概念视频
Precipitation and Co-precipitation
1.8K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.8K
Precipitation Titration Curve: Analysis
1.1K
The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
1.1K
Time-Series Graph
4.4K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.4K
Precipitation Processes
446
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
446
Precipitation Gravimetry
6.2K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
6.2K
Random Error
880
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
880


