Study of Local and Regional Influence on PM2.5 Concentration during Odd-Even Rule in Delhi Using Causal Analysis

Abstract

PM 2.5 concentration observed during odd-even rule in Delhi is analysed for assessing its effectiveness in curbing the levels. The local and regional influence is analysed by using similarity and causality analysis. Causality analysis is usually carried out by using nonlinear dynamical technique which predicts one variable using another. In this study a simple approach is presented based on nearest neighbour method. It is observed that PM 2.5 in Delhi has regional influence in addition to local sources. Although the effectiveness of odd-even rule is not observed in curbing the PM 2.5 levels, it is suggested that extended implementation of the rule may provide more insight to the impact. Similarity analysis suggested that PM 2.5 concentrations in Delhi have somewhat similar temporal behaviour with neighbouring locations in the southeast (SE) and west (W)-southwest (SW) sector. The control policies in Delhi need to be adopted keeping in mind the local and regional influences on PM 2.5 levels in the area.

Pengoptimuman Biaya Distribusi Menggunakan Integer Programming Dalam Menyikapi Kebijakan Ganjil-Genap Di Jakarta

“…Terdapat beberapa penelitian mengenai pengaruh kebijakan ganjil-genap, namun sebagian besar terkait dengan tingkat pencemaran udara, seperti pada [16], [20], [24], [32], [13], [8] untuk kasus di New Delhi, India; [34], [21], [44], [42] di Beijing, China; [10] di Mexico, dan [26] di Jakarta. Selain kualitas udara, beberapa hal yang dipengaruhi adanya kebijakan ganjil-genap juga diteliti, seperti analisis sentimen dan peran serta masyarakat terhadap kebijakan ganjil-genap di New Delhi, India [9], [31], dan di Jakarta [43]; tingkat kemacetan lalu lintas, tingkat pelayanan moda transportasi umum, pelayanan parkir dll seperti dalam [15], [17], [23], [21], [35], [12]; tingkat kebisingan sekitar [11], kebiasaan perjalanan [38], maupun aspek hukum yang mendasari pelaksanaan kebijakan dalam [28].…”